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welding brazing r d scientist 2

Los Alamos National Laboratory

<div>
 
 What You Will Do
 
 
 
 The Sigma Division at Los Alamos National Laboratory is seeking a Research and Development Scientist to join our Welding and Joining team-a dynamic group at the forefront of advanced manufacturing and materials science.
 
 
 In this role, you will contribute to cutting-edge research and development in high energy density welding, arc welding, brazing, and solid-state joining technologies that support critical national security and scientific missions. You'll work on complex, real-world challenges ranging from weld distortion and residual stress to process optimization, leveraging both experimental and computational modeling approaches.
 
 
 We are looking for a scientist with a strong foundation in solidification metallurgy and a passion for applying scientific and engineering principles to develop innovative, practical solutions. This position offers the opportunity to lead impactful R&amp;D efforts, support production across the NNSA complex, and drive improvements in welding and joining processes.
 
 
 You will collaborate with a wide range of partners, including internal programs in weapons, alternative energy, and global security, as well as external collaborators across universities, industry, and other national laboratories. This is a highly visible role with opportunities to influence both research direction and mission outcomes.
 
 
 Sigma Division specializes in manufacturing science and metallurgical processes, supporting experimental programs at Los Alamos. The Welding &amp; Joining team works closely with other technical groups to solve complex manufacturing challenges and deliver high-quality prototype and limited production components. Our work spans a broad range of materials-from hydrogen to uranium-and includes both unclassified and classified efforts.
 
 
 The successful candidate will be expected to develop and lead multiple research projects, communicate results to diverse stakeholders, and play a key role in securing funding through proposals and work packages. This is an excellent opportunity for a motivated scientist to grow into a technical leader while contributing to nationally significant work.
 
 
 
 
 
 What You Need
 
 
 
 
 
 Minimum Job Requirements:
 
 
 
 
 <ul>
 <li>
 Demonstrated expertise in solidification metallurgy, with the ability to serve as a technical lead in this area.
 </li>
 <li>
 Proven experience leading research and development activities in one or more of the following: high energy density welding, vacuum furnace or induction brazing, and semi-automatic or manual arc welding.
 </li>
 <li>
 Demonstrated ability to lead or significantly contribute to proposal development efforts, particularly for innovative welding solutions addressing complex technical challenges.
 </li>
 <li>
 Experience working in integrated, cross-disciplinary teams to design, develop, and fabricate experimental assemblies aligned with customer or programmatic needs.
 </li>
 <li>
 Strong record of technical writing, including authorship or significant contribution to peer-reviewed publications.
 </li>
 <li>
 Experience mentoring junior staff, postdoctoral researchers, or students in research and/or manufacturing environments.
 </li>
 <li>
 Demonstrated commitment to safety and security, including maintaining required training and integrating safety and security practices into all work activities.
 
 
 </li>
 </ul>
 
 Education/Experience:
 
 
 
 Positions requires a Bachelor' degree in a STEM field from an accredited college and university and 4 years of related experience, typically with post-doctoral research experience at a university or national lab or equivalent experience directly related to the occupation.
 
 
 
 Desired Qualifications:
 
 
 
 <ul>
 <li>
 Active Q Level clearance
 </li>
 <li>
 Experience in any of the following areas: arc welding (gas tungsten or gas metal arc welding), brazing, solid state welding, other welding/joining methods, is desired, but not required.
 </li>
 <li>
 Experience with weld evaluation including destructive testing and mechanical testing.
 </li>
 <li>
 Familiarity with non-destructive testing, visual inspection, and metallurgical characterization techniques.
 
 
 </li>
 </ul>
 
 Work Location:
 
 The work location for this position is onsite and located in Los Alamos, NM. All work locations are at the discretion of management.
 
 
 
 Position commitment:
 
 Regular appointment employees are required to serve a period of continuous service in their current position in order to be eligible to apply for posted jobs throughout the Laboratory. If an employee has not served the time required, they may only apply for Laboratory jobs with the documented approval of their Division Leader. The position commitment for this position is 1 year.
 
 
 
 Note to Applicants:
 
 
 
 Please provide a detailed cover letter outlining specific examples of how you meet all the minimum job requirements and any desired qualifications.
 
 
 Due to federal restrictions contained in the current National Defense Authorization Act, citizens of the People's Republic of China-including the special administrative regions of Hong Kong and Macau-as well as citizens of the Islamic Republic of Iran, the Democratic People's Republic of Korea (North Korea), and the Russian Federation, who are not Lawful Permanent Residents ("green card" holders) are prohibited from accessing facilities that support the mission, functions, and operations of national security laboratories and nuclear weapons production facilities, which includes Los Alamos National Laboratory.
 
 
 
 Where You Will Work
 
 
 
 Located in beautiful northern New Mexico, Los Alamos National Laboratory (LANL) is a multidisciplinary research institution engaged in strategic science on behalf of national security. Our generous benefits package includes:
 
 
 <ul>
 <li>
 PPO or High Deductible medical insurance with the same large nationwide network
 </li>
 <li>
 Dental and vision insurance
 </li>
 <li>
 Free basic life and disability insurance
 </li>
 <li>
 Paid childbirth and parental leave
 </li>
 <li>
 Award-winning 401(k) (6% matching plus 3.5% annually)
 </li>
 <li>
 Learning opportunities and tuition assistance
 </li>
 <li>
 Flexible schedules and time off (PTO and holidays)
 </li>
 <li>
 Onsite gyms and wellness programs
 </li>
 <li>
 Extensive relocation packages (outside a 50 mile radius)
 
 
 </li>
 </ul>
 
 Additional Details
 
 
 
 
 Directive 206.2
 
 - Employment with Triad requires a favorable decision by NNSA indicating employee is suitable under NNSA Supplemental Directive 206.2. Please note that this requirement applies only to citizens of the United States. Foreign nationals are subject to a similar requirement under DOE Order 142.3A.
 
 
 
 Clearance: Q
 
 (Position will be cleared to this level). Selected applicants will be subject to a background investigation conducted by or on behalf of the Federal Government, and must meet eligibility requirements* for access to classified matter. This position requires a Q clearance. and obtaining such clearance requires US Citizenship except in extremely rare circumstances. Dependent upon the position, additional authorization to access classified information may be required, which may or may not be available to dual citizens. Receipt of a Q clearance and additional access authorization ultimately is a decision of the Federal Government and not of Triad.
 
 
 <ul>
 <li>
 Eligibility requirements: To obtain a clearance, an individual must be at least 18 years of age; U.S. citizenship is required except in very limited circumstances. See DOE Order 472.2 for additional information.
 
 
 </li>
 </ul>
 
 New-Employment Drug Test:
 
 The Laboratory requires successful applicants to complete a new-employment drug test and maintains a substance abuse policy that includes random drug testing. Although New Mexico and other states have legalized the use of marijuana, use and possession of marijuana remain illegal under federal law. A positive drug test for marijuana will result in termination of employment, even if the use was pre-offer.
 
 
 
 Regular position:
 
 Term status Laboratory employees applying for regular-status positions are converted to regular status.
 
 
 
 Internal Applicants:
 
 Regular appointment employees who have served the required period of continuous service in their current position are eligible to apply for posted jobs throughout the Laboratory. If an employee has not served the required period of continuous service, they may only apply for Laboratory jobs with the documented approval of their Division Leader. Please refer to Policy Policy P701 for applicant eligibility requirements.
 
 
 
 Equal Opportunity:
 
 Los Alamos National Laboratory is an equal opportunity employer. All employment practices are based on qualification and merit, without regard to protected categories such as race, color, national origin, ancestry, religion, age, sex, gender identity, sexual orientation, marital status or spousal affiliation, physical or mental disability, medical conditions, pregnancy, status as a protected veteran, genetic information, or citizenship within the limits imposed by federal, state, and local laws and regulations. The Laboratory is also committed to making our workplace accessible to individuals with disabilities and will provide reasonable accommodations, upon request, for individuals to participate in the application and hiring process. To request such an accommodation, please send an email to applyhelp@lanl.gov or call (505)-664-6947.
</div>

Welding/Brazing (R&D Scientist 2)

<div>
 
 What You Will Do
 
 
 
 Are you ready to start your engineering career with a mission that matters? The Weapons Engineering Directorate at Los Alamos National Laboratory is seeking passionate entry-level R&amp;D Engineers to join our team and help shape the future of our nation's security. At Los Alamos National Laboratory, you will:
 
 
 <ul>
 <li>
 Innovate and Create: Design, analyze, and build cutting-edge tools, instruments, and systems that enable researchers to explore, monitor, test, and discover both natural and man-made phenomena.
 </li>
 <li>
 Solve Critical Challenges: Apply engineering principles, theories, concepts, and practices to develop solutions for a broad range of technical challenges, including nuclear deterrence and threat reduction.
 </li>
 <li>
 Collaborate and Contribute: Work alongside integrated research and development (R&amp;D) teams to solve complex engineering problems.
 </li>
 <li>
 Engage in Cutting-Edge R&amp;D: Participate in the research, design, testing, analysis, verification, and validation of engineering solutions that support our R&amp;D initiatives.
 </li>
 <li>
 Advance Your Skills: Learn and employ advanced technologies and analysis techniques from our world-class engineering community.
 </li>
 <li>
 Adapt and Succeed: Thrive in a dynamic environment where you will meet evolving R&amp;D requirements while upholding safety, security, compliance, and schedule imperatives.
 
 
 </li>
 </ul>
 Submit your application to be considered for various R&amp;D Engineer 1 or R&amp;D Engineer 2 positions across the Weapons Engineering Directorate. Learn about our Directorate, divisions, and groups at the Weapons Engineering website. This specific posting is for an ongoing pool, rather than for a single position that will be filled by a certain date, and candidates may be selected at any point until July 2026.
 
 
 #ALDWRecruiting
 
 
 
 This position will be filled at either the R&amp;D Engineer 1 or R&amp;D Engineer 2 level, depending on the skills of the selected candidate. Additional job responsibilities (outlined below) will be assigned if the candidate is hired at the higher level.
 
 
 
 
 R&amp;D Engineer 1 ($96,600 - $158,000)
 
 
 
 The successful candidate will:
 
 
 <ul>
 <li>
 Assist in the research, design, testing, analysis, verification, and validation of engineering and technology solutions to support R&amp;D initiatives
 </li>
 <li>
 Develop technical approaches, using judgment within defined practices and procedures, and make technical decisions, including preliminary selections and adaptations of technical alternatives, for assigned work
 </li>
 <li>
 Assist in the development of new methods, techniques, or approaches to address critical technical problems
 </li>
 <li>
 Potentially contribute to the development of technical products such as journal papers and reports
 </li>
 <li>
 Contribute to the completion of milestones associated with specific projects and directly contribute to the achievement of programmatic objectives
 </li>
 <li>
 Take responsibility for understanding tasks and own contributions to deliverables, set direction and goals for assigned tasks, and manage their own assignments
 </li>
 <li>
 Give presentations at discipline-specific meetings and colloquia, and may participate in professional societies, National Nuclear Security Administration/Department of Energy complex interactions, special assignments, and/or external special interest groups
 </li>
 <li>
 Continuously develop technical expertise and knowledge within the discipline, and acquire new skills in related disciplines, potentially attaining additional certifications and/or qualifications, including more advanced educational degrees
 </li>
 <li>
 Assure safety and security compliance, maintain required training, and integrate safety and security into every task, including stopping work if it is unsafe or compromises security
 </li>
 <li>
 May receive general instructions and technical guidance, with objectives defined and both in-process work and results subject to supervisory review, and may direct the work of junior staff
 
 
 </li>
 </ul>
 
 R&amp;D Engineer 2 ($106,400 - $176,000)
 
 
 
 In addition to the duties outlined at the lower level, the successful candidate will:
 
 
 <ul>
 <li>
 Contribute to the research, design, testing, analysis, verification, and validation of engineering and technology solutions in support of R&amp;D initiatives
 </li>
 <li>
 Apply and interpret, on a broad basis, existing discipline-specific engineering and scientific principles, techniques, methods and tools to provide solutions for a wide assortment of complex problems
 </li>
 <li>
 Develop new methods or techniques, using creativity in applying standard practices and procedures, which lead to new or improved capabilities
 </li>
 <li>
 Assist in the development of technical products such as journal papers, reports, and intellectual property
 </li>
 <li>
 Set direction and goals for well-defined tasks involving more than one person, scope tasks within a project, and lead specific project tasks to meet scope, schedule and budget
 </li>
 <li>
 Actively participate in professional societies, National Nuclear Security Administration/Department of Energy complex interactions, and external working groups, and may assist in organizing meetings and colloquia
 </li>
 <li>
 Provide peer review of the work of others across organizations or disciplines
 </li>
 <li>
 Develop mentoring skills to guide junior staff and peers in technical and professional growth
 </li>
 <li>
 Maintain state-of-the-art technical expertise and knowledge within the discipline, develop new skills in related disciplines, and attain additional certifications and/or qualifications, including more advanced educational degrees and/or a professional engineer license
 </li>
 <li>
 Receive occasional oversight on specific objectives and complex problems, with completed work subject to supervisory review, and provide technical coordination and guidance to junior staff and peers as needed
 
 
 </li>
 </ul>
 
 
 What You Need
 
 
 
 
 
 Minimum Job Requirements:
 
 
 
 <ul>
 <li>
 Engineering Foundations: Basic understanding of engineering concepts, principles, and practices, demonstrated through experience in researching, designing, testing, analyzing, verifying, and validating engineering solutions.
 </li>
 <li>
 Hands-On Project Experience: Familiarity with analysis or testing in areas such as shock, vibration, fluids, thermal, nuclear, systems, explosives, manufacturing, process, control systems, data acquisition, and data analysis, gained through class projects or similar experiences.
 </li>
 <li>
 Design Skills: Basic knowledge of engineering design principles.
 </li>
 <li>
 Effective Communication: Proven ability to articulate ideas effectively through both oral and written communication.
 </li>
 <li>
 Ability to obtain DOE Q Clearance
 
 
 </li>
 </ul>
 
 Additional Job Requirements for R&amp;D Engineer 2:
 
 
 
 <ul>
 <li>
 Engineering Foundations: Sound knowledge of engineering concepts, principles, and practices, with demonstrated ability to apply them in developing and refining engineering solutions. Experience includes researching, designing, testing, analyzing, verifying, and validating solutions with minimal guidance.
 </li>
 <li>
 Hands-On Project Experience: Practical experience performing analysis and testing in areas such as shock, vibration, fluids, thermal, nuclear, systems, explosives, manufacturing, process control, data acquisition, and data analysis. Contributions extend beyond class projects to include internships or collaborative projects, applying engineering methods to solve moderately complex problems.
 </li>
 <li>
 Design Skills: Working knowledge of engineering design principles, with experience creating and iterating on designs that meet functional requirements and constraints. Ability to use design tools and methodologies to produce viable solutions.
 </li>
 <li>
 Effective Communication: Proven ability to clearly articulate technical ideas and findings to diverse audiences through well-structured oral presentations and written reports. Skilled in preparing documentation that supports decision-making and project outcomes.
 </li>
 <li>
 Ability to obtain DOE Q Clearance
 
 
 </li>
 </ul>
 
 Education/Experience at lower level:
 
 Position requires a Bachelor's Degree in Engineering from an accredited institution related to the occupation combined with 2 years of related experience; or an equivalent combination of education and technical experience directly related to the occupation.
 
 
 
 Education/Experience at higher level:
 
 Position requires a Bachelor's Degree in Engineering from an accredited institution and 4 years of related experience; or, an equivalent combination of education and experience directly related to the occupation.
 
 
 
 Desired Qualifications:
 
 
 
 Candidates will be most competitive when they possess the following expertise:
 
 
 <ul>
 <li>
 Programming: Computer programming skills to support engineering design, data acquisition, analysis, and machine learning projects.
 </li>
 <li>
 Engineering Software: Proficient in Computer Aided Design (CAD), simulation, Finite Element Analysis (FEA), or other specialized engineering software tools.
 </li>
 <li>
 Detail-Oriented and Safety-Focused: Dedication to precision and commitment to maintaining a safe work environment.
 </li>
 <li>
 Team-Driven Success: Thrive in a collaborative team setting, dedicated to achieving outstanding results together.
 </li>
 <li>
 Proven Leadership: Demonstrated leadership experience that encourages others to perform at their best.
 </li>
 <li>
 Application Expectations:
 </li>
 <ul>
 <li>
 Cumulative GPA: Must have graduated with a cumulative GPA of at least a 3.0 on a 4.0 scale. Candidates who graduated with a cumulative GPA of 3.4 or higher will be most competitive.
 </li>
 <li>
 Application Submission: Must submit a complete application including the following three required documents. Incomplete applications will be automatically deemed ineligible. We strongly recommend reviewing the Application and Interview Tips website before applying.
 </li>
 <ul>
 <li>
 Cover Letter: Must explicitly reference your interest in the Weapons Engineering Directorate and detail your relevant academic and work experiences, knowledge, skills, and abilities.
 </li>
 <li>
 Resume: Must include dates for all related experience.
 </li>
 <li>
 Current Transcript: Must include all grades earned up to the time of application and may be unofficial.
 </li>
 </ul>
 </ul>
 </ul>
 
 Work Location:
 
 The work location for this position is onsite and located in Los Alamos, NM. All work locations are at the discretion of management.
 
 
 
 Position commitment:
 
 Regular appointment employees are required to serve a period of continuous service in their current position in order to be eligible to apply for posted jobs throughout the Laboratory. If an employee has not served the time required, they may only apply for Laboratory jobs with the documented approval of their Division Leader. The position commitment for this position is 1 year.
 
 
 
 Note to Applicants:
 
 Due to federal restrictions contained in the current National Defense Authorization Act, citizens of the People's Republic of China-including the special administrative regions of Hong Kong and Macau-as well as citizens of the Islamic Republic of Iran, the Democratic People's Republic of Korea (North Korea), and the Russian Federation, who are not Lawful Permanent Residents ("green card" holders) are prohibited from accessing facilities that support the mission, functions, and operations of national security laboratories and nuclear weapons production facilities, which includes Los Alamos National Laboratory.
 
 
 
 Resources for Applicants:
 
 
 
 <ul>
 <li>
 For assistance or questions related to this job ad, contact Loren Robinson at lrob@lanl.gov.
 </li>
 <li>
 For technical assistance, email applyhelp@lanl.gov or call 1-505-665-4444 option 1.
 
 
 </li>
 </ul>
 
 Where You Will Work
 
 
 
 Located in beautiful northern New Mexico, Los Alamos National Laboratory (LANL) is a multidisciplinary research institution engaged in strategic science on behalf of national security. Our generous benefits package includes:
 
 
 <ul>
 <li>
 PPO or High Deductible medical insurance with the same large nationwide network
 </li>
 <li>
 Dental and vision insurance
 </li>
 <li>
 Free basic life and disability insurance
 </li>
 <li>
 Paid childbirth and parental leave
 </li>
 <li>
 Award-winning 401(k) (6% matching plus 3.5% annually)
 </li>
 <li>
 Learning opportunities and tuition assistance
 </li>
 <li>
 Flexible schedules and time off (PTO and holidays)
 </li>
 <li>
 Onsite gyms and wellness programs
 </li>
 <li>
 Extensive relocation packages (outside a 50-mile radius)
 
 
 </li>
 </ul>
 
 Additional Details
 
 
 
 
 Directive 206.2
 
 - Employment with Triad requires a favorable decision by NNSA indicating employee is suitable under NNSA Supplemental Directive 206.2. Please note that this requirement applies only to citizens of the United States. Foreign nationals are subject to a similar requirement under DOE Order 142.3A.
 
 
 
 Clearance: Q
 
 (Position will be cleared to this level). Selected applicants will be subject to a background investigation conducted by or on behalf of the Federal Government, and must meet eligibility requirements* for access to classified matter. This position requires a Q clearance. and obtaining such clearance requires US Citizenship except in extremely rare circumstances. Dependent upon the position, additional authorization to access classified information may be required, which may or may not be available to dual citizens. Receipt of a Q clearance and additional access authorization ultimately is a decision of the Federal Government and not of Triad.
 
 
 <ul>
 <li>
 Eligibility requirements: To obtain a clearance, an individual must be at least 18 years of age; U.S. citizenship is required except in very limited circumstances. See DOE Order 472.2 for additional information.
 
 
 </li>
 </ul>
 
 New-Employment Drug Test:
 
 The Laboratory requires successful applicants to complete a new-employment drug test and maintains a substance abuse policy that includes random drug testing. Although New Mexico and other states have legalized the use of marijuana, use and possession of marijuana remain illegal under federal law. A positive drug test for marijuana will result in termination of employment, even if the use was pre-offer.
 
 
 
 Regular position:
 
 Term status Laboratory employees applying for regular-status positions are converted to regular status.
 
 
 
 Internal Applicants:
 
 Regular appointment employees who have served the required period of continuous service in their current position are eligible to apply for posted jobs throughout the Laboratory. If an employee has not served the required period of continuous service, they may only apply for Laboratory jobs with the documented approval of their Division Leader. Please refer to Policy P701 for applicant eligibility requirements.
 
 
 
 Equal Opportunity:
 
 Los Alamos National Laboratory is an equal opportunity employer. All employment practices are based on qualification and merit, without regard to protected categories such as race, color, national origin, ancestry, religion, age, sex, gender identity, sexual orientation, marital status or spousal affiliation, physical or mental disability, medical conditions, pregnancy, status as a protected veteran, genetic information, or citizenship within the limits imposed by federal, state, and local laws and regulations. The Laboratory is also committed to making our workplace accessible to individuals with disabilities and will provide reasonable accommodations, upon request, for individuals to participate in the application and hiring process. To request such an accommodation, please send an email to applyhelp@lanl.gov or call (505)-664-6947 opt. 3.
</div>

Weapons Engineering R&D Engineer 1/2

<div>
 
 Company Information
 
 
 
 For more than 20 years, AEG has played a pivotal role in transforming sports and live entertainment. Annually, we host more than 160 million guests, promote more than 10,000 shows and present more than 22,000 events around the world. We are committed to innovation, artistry, and community, and leverage the power of our 300+ venues, leading sports franchises, marquee music brands, integrated entertainment districts, premier ticketing platform and global sponsorship activations, to create memorable moments that give the world reason to cheer.
 
 
 Our business is interwoven with the human mind and heart, and we strive to build a diverse and inclusive company that reflects the artists, athletes, and fans that we host; reach beyond traditional boundaries to support the communities in which we operate; and minimize our impact on the environment by adopting sustainable practices throughout our business operations.
 
 
 If you want to be challenged to up your game and make a difference, then join us in giving the world reason to cheer!
 
 
 
 Job Summary
 
 
 
 The AEG Presents Strategy Group partners with the executive team and leaders across the company, to address critical challenges and develop and execute strategies that drive business improvement. The Data Analyst works with the Chief Strategy Officer, two strategy directors, and a data scientist, across all strategic and operational areas of the AEG Presents business, with a focus on quantitative/statistical modeling and business performance analysis.
 
 
 
 Essential Functions
 
 
 
 <ul>
 <li>
 Develop predictive and statistical models to improve performance across all AEG Presents business lines, by gathering, cleansing, and analyzing data from multiple defined and undefined data sources using data extraction and analysis tools (SQL, Excel, PowerBI), and using statistical/programming tools (Python, R) to design and execute advanced analytics (regression, clustering, time series, etc.).
 </li>
 <li>
 Lead implementation of statistical data models into proprietary custom-built software platforms for use in AEG Presents business operations, working collaboratively with the digital team and other business stakeholders by defining requirements and developing underlying data structures.
 </li>
 <li>
 Design and execute financial and operational analysis by leveraging in-house and 3rd party operational, transactional, and financial data, and use visualization tools to develop business performance reports for AEG Presents management across multiple departments (e.g., festivals, venues, touring).
 
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 BA/BS Degree (4-year)
 </li>
 <li>
 0-2 years Of related work experience
 </li>
 <li>
 Strong quantitative analytical skills, with the ability to derive insights from large data sets, exceptional attention to detail, and a desire to creatively solve challenging problems
 </li>
 <li>
 Excellent written and verbal communication skills, with the ability to present findings from technical analysis to non-technical audiences
 </li>
 <li>
 General business acumen, with the ability to analyze the live events industry and recommend business improvements
 </li>
 <li>
 Ability to learn quickly and manage projects independently
 </li>
 <li>
 Proficiency in data science programming languages (Python and/or R)
 </li>
 <li>
 Proficiency in SQL, experience with data visualization tools (e.g., Tableau, PowerBI)
 </li>
 <li>
 Music or other entertainment experience a plus, as well as a passion for music and knowledge of artists and industry trends preferred
 </li>
 <li>
 Familiarity with basic financial statements (profit and loss, balance sheet) preferred
 
 
 
 </li>
 </ul>
 
 Payscale:
 
 $82,924-$89,250
 
 
 
 Bonus:
 
 
 This position is not eligible for a bonus under the current bonus plan requirements.
 
 
 
 
 Benefits:
 
 
 
 Full-time:
 
 We offer a comprehensive benefits package that includes: medical, dental and vision insurance, paid holidays, vacation and sick time, company paid basic life insurance, voluntary life insurance, parental leave, 401k Plan (with a current employer match of 3%), flexible spending and health savings account options, and wellness offerings.
 
 
 
 AEG reserves the right to change or modify the employee&rsquo;s job description whether orally or in writing, at any time during the employment relationship. AEG may require an employee to perform duties outside their normal description.
 
 
 AEG's policy is to hire the most qualified applicants, and we comply with all applicable federal, state and local employment laws in making hiring and employee decisions. We are an equal opportunity employer and do not discriminate against applicants or employees on the basis of race, color, marital status, disability, religion, age, sex, sexual orientation, national origin, genetic information, veteran status, or any other legally protected status recognized by applicable federal, state or local law.
 
 
 Employer does not offer work visa sponsorship for this position.
</div>

Data Analyst

Netflix

<div>
 At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what&rsquo;s next.
 
 
 
 The Role
 
 
 
 In this role, you will own a critical set of capabilities and products that are a part of Netflix&rsquo;s content journey from pitch to post. Collaborating closely with research, engineering, studio, creatives, and other key partners across the entertainment industry, you will build a deep understanding of evolving production needs and opportunities. You will drive our research and product strategy forward, defining the AI/ML technologies creators can choose from to realize their vision with unparalleled quality and control. Ultimately, you will transform novel model capabilities into intuitive workflows and partner with other PMs to craft products that amplify artist creativity and efficiency across our slate.
 
 
 This role requires a unique combination of strong product management expertise, technical understanding of AI/ML/CV, experience in creative production processes, and exceptional stakeholder management skills. You will address the complex needs of creatives (e.g., directors, editors, colorists, VFX artists), and production teams, pushing the envelope of creative outcomes and defining the future of filmmaking through transformative technologies. Success in this position relies on building consensus and driving execution across diverse groups, including creative teams, R&amp;D, external partners, and executive leadership.
 
 
 This is an onsite role based in Los Angeles. Regular monthly travel to Los Gatos is expected to support in-person collaboration.
 
 
 
 What You Will Do
 
 
 
 <ul>
 <li>
 Own the vision, strategy, and execution of product-led research and the deployment of AI/ML powered video capabilities within the content production and studio domain.
 </li>
 <li>
 Lead deep discovery to uncover the bottlenecks of creatives and production teams that can be solved with novel AI/ML solutions. Balance immediate partner requests with long-term investments, prioritizing durable impact and synthesizing signals into strategic roadmaps.
 </li>
 <li>
 Act as the voice of creative stakeholders within the R&amp;D organization. Translate user needs into precise technical requirements and product specifications, ensuring novel AI capabilities become impactful, scalable cinematic tools.
 </li>
 <li>
 Collaborate with research and engineering teams to influence the development of AI models, from the initial training data strategy through training and production deployment.
 </li>
 <li>
 Partner with ML infrastructure teams to forecast, allocate, and manage compute budgets. Make critical prioritization decisions on training and inference runs.
 </li>
 <li>
 Create clarity and champion alignment in a highly cross-functional environment, ensuring our AI strategy remains grounded within a rapidly evolving technological landscape.
 </li>
 <li>
 Communicate at the right altitude, seamlessly transitioning from detailed technical product reviews to executive narratives and creative demos.
 </li>
 <li>
 Partner with Studio Ops, Production Technology, and Content leaders to align requirements, milestones, and slate needs, effectively influencing cross-team roadmaps.
 
 
 </li>
 </ul>
 
 What We&rsquo;re Looking For
 
 
 
 <ul>
 <li>
 6+ years of Product Management experience, including a track record of working closely with R&amp;D teams to turn novel research into scaled products.
 </li>
 <li>
 Deep empathy and/or demonstrated experience working directly with creatives (e.g., digital artists, technical directors, editors) in the production process.
 </li>
 <li>
 Strong technical fluency; comfortable discussing the details of AI models, architecture, data requirements, training, finetuning, inference, and performance considerations. This work emphasizes improving adherence, controllability, quality of image and video models.
 </li>
 <li>
 Previous experience with creative tool ecosystems and a strong understanding of how professionals leverage these tools.
 </li>
 <li>
 Proven ability to define product strategy and lead multi-quarter initiatives in highly technical, cross-functional environments.
 </li>
 <li>
 Exceptional stakeholder management skills, with a track record of aligning diverse teams around shared infrastructure and goals.
 </li>
 <li>
 A self-directed leader who thrives in ambiguity and is motivated by building durable, foundational systems that empower others to move faster.
 
 
 </li>
 </ul>
 Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $310,000.00 - $545,000.00.
 
 
 Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.
 
 
 Netflix is a unique culture and environment. Learn more here.
 
 
 Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.
 
 
 We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
</div>

Product Manager - AI Video

SILVUS TECHNOLOGIES

<div><div>THE COMPANY

Silvus Technologies, a leading provider of advanced MANET and MIMO communications systems, is reshaping mesh network technology for mission-critical applications &ndash; on the ground, in the air, and at sea. Its battle-proven StreamCaster family of MANET radios and proprietary MN-MIMO waveform provides the vital communications link for defense, law enforcement, and public safety agencies around the world, and in the toughest operational environments.

With deep roots in DARPA research, Silvus Technologies develops world-class advanced communications technologies that are reshaping the tactical communications landscape. From pure line-of-sight to extreme non-line-of-sight, Silvus radios form a self-healing, self-forming mesh network, enabling secure and reliable connectivity, including video and high-bandwidth data

Silvus Technologies is a wholly owned subsidiary of Motorola Solutions, Inc.

Would you like to join an incredibly talented group of people, doing very challenging work, with the prime directive of &quot;Keeping Our Heroes Connected&quot;?</div>
THE OPPORTUNITY

Silvus is seeking a Machine Learning Engineer who will report to the R&amp;D Director, Machine Learning on the R&amp;D team. The successful individual in this role will focus on applying machine learning and data-driven techniques to improve the performance, efficiency, and adaptability of Silvus' advanced MIMO radios and wireless networking systems. This individual will work closely with experts in wireless communications, DSP, networking, and embedded systems to develop ML-driven features that solve real-world problems in dynamic and challenging RF environments.

This position is based at Silvus Technologies' headquarters in the heart of vibrant West Los Angeles, CA, and is on a hybrid schedule. A minimum of 3 days onsite per week is expected. On-site days are Mondays, Wednesdays, and Thursdays.

The following is a list of at least some of the current essential job functions of the position. Management may assign or reassign duties and responsibilities at any time at its discretion.

ROLE AND RESPONSIBILITIES
<ul>
<li>Research, design, and implement machine learning algorithms to enhance performance in wireless communication systems (e.g., link adaptation, interference mitigation, anomaly detection, spectrum sensing).</li>
<li>Analyze real-world radio frequency datasets to extract insights and develop predictive models.</li>
<li>Develop software prototypes and integrate ML algorithms with Silvus' radio firmware and networking stack.</li>
<li>Collaborate with cross-functional teams to define machine learning use cases and evaluate the impact of deployed models.</li>
<li>Contribute to the design of data pipelines and infrastructure for training, testing, and validating models.</li>
<li>Participate in performance benchmarking and iterative improvement cycles.</li>
<li>Stay current with the latest Machine Learning research for wireless and embedded systems.</li>
<li>Perform other related duties of which the above are representative.</li>
</ul>
REQUIRED QUALIFICATIONS
<ul>
<li>S. or Ph.D. in Electrical Engineering, Computer Science, or a related field.</li>
<li>Minimum of 3 years of experience in machine learning, with demonstrated application to real-world problems; 1 year of machine learning experience with a PhD.</li>
<li>Strong foundation in supervised and unsupervised learning, signal processing, and statistical modeling.</li>
<li>Experience with Python ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn, etc.).</li>
<li>Familiarity with wireless communication concepts (e.g., PHY/MAC layers, MIMO, OFDM, spectrum access, SDRs).</li>
<li>Proficiency in MATLAB or C/C++ for signal processing algorithm development.</li>
<li>Security Clearance: Active U.S. Government SECRET clearance or the ability to obtain one within 15 months of hire.</li>
<li>Must be a U.S. Citizen due to clients under U.S. government contracts.</li>
<li>All employment is contingent upon the successful clearance of a background check and drug test.</li>
</ul>
PREFERRED KNOWLEDGE, SKILLS, AND ABILITIES
<ul>
<li>Demonstrated experience with radio frequency signal classification, anomaly detection, or spectrum monitoring.</li>
<li>Familiarity with embedded machine learning, real-time systems, or deploying machine learning on edge devices.</li>
<li>Background in adaptive modulation, beamforming, or cognitive radio techniques.</li>
<li>Experience working with wireless standards such as 3GPP, IEEE 802.11/15, or military waveforms.</li>
<li>Experience with GPU acceleration or model optimization for constrained environments.</li>
<li>Excellent communication and collaboration skills.</li>
</ul>
WORKING CONDITIONS AND PHYSICAL REQUIREMENTS
<ul>
<li>Office environment.</li>
<li>Outdoor environment for demos.</li>
<li>Occasional exposure to heat, cold, and allergens while performing tests or demonstrations in the field.</li>
<li>While performing the duties of this job, the employee is required to do the following:
<ul><li>Lift equipment up to 20 lbs. for the set-up of demonstrations and testing.</li>
<li>Perform bending and reaching movements to place items on lower and higher shelves.</li>
</ul>
</li></ul><div>NOTE - As a US Federal Contractor, Silvus Technologies requires that ALL candidates being considered for employment for any position (regardless of level) MUST be a U.S. Person (permanent resident or citizen). Stricter U.S. Citizen ONLY requirements (needed for some Engineering or R&amp;D roles) will be included in the Required Qualifications section of the posted position. This does NOT apply to international positions; only job postings for positions located in the US.

All employment is contingent upon the successful clearance of a background check and drug test.

Silvus is proud to be an equal opportunity employer, and we value diversity. We do not discriminate on the basis of race, color, age, religion or belief, ancestry, national origin, sex (including pregnancy), sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, physical or mental disability, protected veteran status, genetic information, political affiliation, or any other factor protected by applicable federal, state, or local laws.

We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive benefits and privileges of employment. Please contact us to request accommodation.

 *Silvus does not accept unsolicited resumes from individual recruiters or third-party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to Silvus Technologies.</div></div>

Machine Learning Engineer

Whatnot

<div>
 
 
 🚀 Join the Future of Commerce with Whatnot!
 
 
 
 
 Whatnot is the largest livestream shopping platform in North America and Europe to buy, sell, and discover the things you love. Whether it's trading cards, fashion, electronics, or live plants, our sellers are building real businesses across hundreds of categories. We're building live commerce at a scale that's never been done in the West, and there's no playbook to copy. The people here are shaping how an entirely new industry develops.
 
 
 As a remote co-located team, we're inspired by our values and anchored in hubs across the US, UK, Ireland, Poland, Germany, and Australia. We move fast, stay close to our users, and focus on the work that drives the most impact.
 
 
 We're one of the fastest growing marketplaces and were recently named the #1 Best Startup Employer in America by Forbes. Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable anyone to turn their passion into a business and bring people together through commerce.
 
 
 
 💻 Role
 
 
 
 As Whatnot rapidly scales, data is central to shaping our product strategy and helping us build delightful, high-performing experiences for both buyers and sellers. We&rsquo;re looking for a
 
 Product Data Scientist
 
 who will partner closely with Product, Engineering, Design, and Operations to drive insights, experimentation, and decision-making across the company.
 
 
 
 In This Role, You Will
 
 
 
 
 🔍 Generate Insights &amp; Shape Product Direction
 
 
 
 <ul>
 <li>
 Define and own the KPIs that measure product health, user engagement, and marketplace performance.
 </li>
 <li>
 Analyze user behavior, product usage patterns, and marketplace dynamics to identify opportunities and inform product priorities.
 </li>
 <li>
 Translate complex data into actionable recommendations for product and leadership teams.
 
 
 </li>
 </ul>
 
 🧪 Drive Experimentation &amp; Measurement
 
 
 
 <ul>
 <li>
 Partner with product managers and engineers to design, implement, and evaluate A/B tests and feature rollouts.
 </li>
 <li>
 Develop frameworks for causal inference, impact measurement, and long-term product evaluation.
 </li>
 <li>
 Build scalable methodologies to understand feature performance and guide iteration.
 
 
 </li>
 </ul>
 
 🛠 Build Data Products &amp; Tools
 
 
 
 <ul>
 <li>
 Use our modern data stack to build dashboards, data pipelines, and self-serve tools that empower teams across Whatnot.
 </li>
 <li>
 Partner with engineers to improve data accessibility, ensure data quality, and support instrumentation for new product features.
 
 
 </li>
 </ul>
 
 🤝 Lead Cross-Functional Collaboration
 
 
 
 <ul>
 <li>
 Advocate for data-driven decision-making and foster a culture of measurement across the product organization.
 </li>
 <li>
 Communicate insights clearly to both technical and non-technical audiences, influencing roadmaps and strategic decisions.
 </li>
 <li>
 Serve as a thought partner to product leads, shaping how we build, launch, and iterate on experiences across the platform.
 
 
 </li>
 </ul>
 
 US Based
 
 
 
 
 We offer flexibility to work from home or from one of our global office hubs, and we value in-person time for planning, problem-solving, and connection. Team members in this role must live within commuting distance of our New York, Seattle, Los Angeles, and San Francisco hubs.
 
 
 
 
 👋 You
 
 
 
 People who do well at Whatnot tend to be comfortable figuring things out as they go, biased toward action, and genuinely curious about what they're building. They care more about outcomes than credit and stay close to the product and the people using it.
 
 
 
 🎓 Experience &amp; Expertise
 
 
 
 As our next
 
 Product Data Scientist
 
 , you bring:
 
 
 <ul>
 <li>
 3+ years of experience in Data Science, Decision Science, or Analytics within a product-focused organization.
 </li>
 <li>
 A bachelor&rsquo;s degree in Computer Science, Economics, Statistics, or a related quantitative field or equivalent experience.
 </li>
 <li>
 Proven experience applying statistical and analytical methods to real-world product problems.
 
 
 </li>
 </ul>
 
 🧠 Technical Skills
 
 
 
 <ul>
 <li>
 Advanced SQL skills and experience with modern data warehouses (Snowflake, BigQuery, Redshift) and tools like Spark or DBT.
 </li>
 <li>
 Proficiency with Python or R for data analysis, modeling, and experimentation.
 </li>
 <li>
 Experience designing and analyzing A/B tests and understanding causal inference techniques.
 </li>
 <li>
 Strong data visualization skills and familiarity with BI tools for building interactive dashboards.
 
 
 </li>
 </ul>
 
 🗣 Collaboration &amp; Leadership
 
 
 
 <ul>
 <li>
 Ability to communicate complex ideas clearly, concisely, and impactfully across diverse stakeholders.
 </li>
 <li>
 Experience leading cross-functional projects and influencing product strategy with data.
 </li>
 <li>
 Comfortable working in fast-paced, ambiguous environments with a high degree of ownership.
 
 
 </li>
 </ul>
 
 💰Compensation
 
 
 
 
 For Full-Time (Salary) US based applicants:
 
 $185,000/year to $240,000/year + benefits + equity.
 
 
 The salary range may be inclusive of several levels that would be applicable to the position. Final salary will be based on a number of factors including, level, relevant prior experience, skills, and expertise. This range is only inclusive of base salary, not benefits (more details below) or equity.
 
 
 
 🎁 Benefits
 
 
 
 <ul>
 <li>
 Flexible Time off Policy and Company-wide Holidays (including a spring and winter break)
 </li>
 <li>
 Health Insurance options including Medical, Dental, Vision
 </li>
 <li>
 Work From Home Support
 </li>
 <ul>
 <li>
 Home office setup allowance
 </li>
 <li>
 Monthly allowance for cell phone and internet
 </li>
 </ul>
 <li>
 Care benefits
 </li>
 <ul>
 <li>
 Monthly allowance for wellness
 </li>
 <li>
 Annual allowance towards Childcare
 </li>
 <li>
 Lifetime benefit for family planning, such as adoption or fertility expenses
 </li>
 </ul>
 <li>
 Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally
 </li>
 <li>
 Monthly allowance to dogfood the app
 </li>
 <ul>
 <li>
 All Whatnauts are expected to develop a deep understanding of our product. We're passionate about building the best user experience, and all employees are expected to use Whatnot as both a buyer and a seller as part of their job (our dogfooding budget makes this fun and easy!).
 </li>
 </ul>
 <li>
 Parental Leave
 </li>
 <ul>
 <li>
 16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence.
 </li>
 </ul>
 </ul>
 
 
 💛 EOE
 
 
 
 
 Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce.
 
 
 Compensation Range: $185K - $240K
 
 
</div>

Data Scientist, Product Analytics

<div>
 
 
 🚀 Join the Future of Commerce with Whatnot!
 
 
 
 
 Whatnot is the largest livestream shopping platform in North America and Europe to buy, sell, and discover the things you love. Whether it's trading cards, fashion, electronics, or live plants, our sellers are building real businesses across hundreds of categories. We're building live commerce at a scale that's never been done in the West, and there's no playbook to copy. The people here are shaping how an entirely new industry develops.
 
 
 As a remote co-located team, we're inspired by our values and anchored in hubs across the US, UK, Ireland, Poland, Germany, and Australia. We move fast, stay close to our users, and focus on the work that drives the most impact.
 
 
 We're one of the fastest growing marketplaces and were recently named the #1 Best Startup Employer in America by Forbes. Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable anyone to turn their passion into a business and bring people together through commerce.
 
 
 
 💻 Role
 
 
 
 In Order To Continue This Growth, It&rsquo;s Important That Whatnot Remains a Safe And Trusted Space To Interact And Transact. We&rsquo;re Looking For a Data Scientist With Expertise In Fraud And Risk To Detect And Prevent These Threats To Our Community. You Will
 
 
 
 🔍Generate Insights &amp; Shape Direction
 
 
 
 <ul>
 <li>
 Translate complex data into actionable recommendations for the Fraud engineering and operations teams.
 </li>
 <li>
 Define and own the KPIs that measure the cost of fraud, strategies to prevent it, and impact to users and marketplace performance.
 </li>
 <li>
 Analyze the effectiveness of existing methods and partner with product and machine learning engineers to develop better anti-fraud practices.
 
 
 </li>
 </ul>
 
 🧪Drive Experimentation &amp; Measurement
 
 
 
 <ul>
 <li>
 Partner with product managers, engineers, and operations teams to design, implement, and evaluate feature rollouts to combat bad actors on the platform.
 </li>
 <li>
 Define and own the experimentation playbook for Fraud at Whatnot.
 </li>
 <li>
 Develop frameworks for causal inference and impact measurement of efforts that are not well-suited to A/B testing.
 </li>
 <li>
 Ensure Whatnot&rsquo;s internal KPIs treat fraudulent actors appropriately in measurement outside of fraud domains.
 
 
 </li>
 </ul>
 
 🛠 Build Data Products &amp; Tools
 
 
 
 <ul>
 <li>
 Use our modern data stack to build dashboards, data pipelines, and self-serve tools that empower teams across Whatnot.
 </li>
 <li>
 Partner with engineers to improve data accessibility, ensure data quality, and support instrumentation for new product and platform enhancements.
 
 
 </li>
 </ul>
 
 🤝Lead Cross-Functional Collaboration
 
 
 
 <ul>
 <li>
 Advocate for data-driven decision-making and foster a culture of measurement across the trust &amp; risk organization.
 </li>
 <li>
 Communicate insights clearly to both technical and non-technical audiences, influencing roadmaps and strategic decisions.
 </li>
 <li>
 Bring data support to company-critical investigations to quantify and thwart bad actor tactics, and help generalize outputs to create longer-term protections for different fraud vectors.
 </li>
 <li>
 Serve as a thought leader to Trust &amp; Risk leadership, shaping how we build, launch, and iterate on fraud strategy across the platform.
 
 
 </li>
 </ul>
 
 US Based
 
 
 
 
 We offer flexibility to work from home or from one of our global office hubs, and we value in-person time for planning, problem-solving, and connection. Team members in this role must live within commuting distance of our New York, Seattle, Los Angeles, and San Francisco hubs.
 
 
 
 
 👋 You
 
 
 
 People who do well at Whatnot tend to be comfortable figuring things out as they go, biased toward action, and genuinely curious about what they're building. They care more about outcomes than credit and stay close to the product and the people using it.
 
 
 As our next Data Scientist, Risk &amp; Fraud, you bring:
 
 
 
 🎓Experience &amp; Expertise
 
 
 
 <ul>
 <li>
 5+ years of experience in the Data field, and 3+ years of experience in Data Analytics &amp; Science supporting anti-fraud, risk, trust &amp; safety, or integrity problems.
 </li>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Economics, Statistics, Cybersecurity, or a related field, or equivalent work experience.
 </li>
 <li>
 Industry experience with proven ability to apply scientific methods to solve real-world problems on large scale data.
 
 
 </li>
 </ul>
 
 🧠Technical Skills
 
 
 
 <ul>
 <li>
 Advanced SQL skills and experience with modern data warehouses (Snowflake, BigQuery, Redshift) and tools like Spark or DBT.
 </li>
 <li>
 Proficiency with Python or R for data analysis, modeling, and experimentation.
 </li>
 <li>
 Experience designing and analyzing A/B tests and understanding causal inference techniques.
 </li>
 <li>
 Strong data visualization skills and familiarity with BI tools for building interactive dashboards.
 
 
 </li>
 </ul>
 
 🗣️Collaboration &amp; Leadership
 
 
 
 <ul>
 <li>
 Ability to communicate complex ideas clearly, concisely, and impactfully across diverse stakeholders.
 </li>
 <li>
 Experience leading cross-functional projects and influencing trust &amp; risk strategy with data.
 </li>
 <li>
 Comfortable working in fast-paced, ambiguous environments with a high degree of ownership.
 
 
 </li>
 </ul>
 
 💰Compensation
 
 
 
 
 For Full-Time (Salary) US based applicants:
 
 $185,000/year to $240,000/year + benefits + equity.
 
 
 The salary range may be inclusive of several levels that would be applicable to the position. Final salary will be based on a number of factors including, level, relevant prior experience, skills, and expertise. This range is only inclusive of base salary, not benefits (more details below) or equity.
 
 
 
 🎁 Benefits
 
 
 
 <ul>
 <li>
 Flexible Time off Policy and Company-wide Holidays (including a spring and winter break)
 </li>
 <li>
 Health Insurance options including Medical, Dental, Vision
 </li>
 <li>
 Work From Home Support
 </li>
 <ul>
 <li>
 Home office setup allowance
 </li>
 <li>
 Monthly allowance for cell phone and internet
 </li>
 </ul>
 <li>
 Care benefits
 </li>
 <ul>
 <li>
 Monthly allowance for wellness
 </li>
 <li>
 Annual allowance towards Childcare
 </li>
 <li>
 Lifetime benefit for family planning, such as adoption or fertility expenses
 </li>
 </ul>
 <li>
 Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally
 </li>
 <li>
 Monthly allowance to dogfood the app
 </li>
 <ul>
 <li>
 All Whatnauts are expected to develop a deep understanding of our product. We're passionate about building the best user experience, and all employees are expected to use Whatnot as both a buyer and a seller as part of their job (our dogfooding budget makes this fun and easy!).
 </li>
 </ul>
 <li>
 Parental Leave
 </li>
 <ul>
 <li>
 16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence.
 </li>
 </ul>
 </ul>
 
 
 💛 EOE
 
 
 
 
 Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce.
 
 
 Compensation Range: $185K - $240K
 
 
</div>

Data Scientist, Risk & Fraud

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