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data scientist risk operations usds

TikTok USDS Joint Venture

<div>
 
 Responsibilities
 
 
 Team Intro:
 
 The Payment team of U.S. Data Security department of TikTok provides payment solutions - including payment acquisitions, disbursements, transaction monitoring, payment method management, foreign exchange conversion, accounting, reconciliations, and so on - to ensure that users have a smooth and secure payment experience on TikTok platform.
 
 
 We are seeking a Data Scientist to drive operational maturity and technical innovation within our Payment Risk Operations. This is a hybrid role designed for those who thrive at the intersection of complex data analysis and real world execution. You will lead the data strategy to measure operational impact, partnering closely with Product and Engineering to deploy automated fraud prevention/reduction solutions that never compromise the customer experience.
 
 
 In this role, you will design AI driven tools to automate manual workflows and optimize our defenses. While you will lead high level technical strategy, you are also ready to roll up your sleeves and engage directly with case reviews, as they are the frontline of risk enforcement, we believe our best strategies are built by those who truly understand the data on the ground.
 
 
 Responsibilities:
 
 AI and Workflow Automation
 
 - Work with Product and Engineering teams to design and implement AI solutions to handle the heavy lifting of risk workflows; You will also define the metrics that prove the impact and set up the alarms to alert us if the logic/system fails.
 
 - Spot patterns and catch spikes in customer complaints. You will be the one digging into the "why" behind the tickets so we can give the Strategy and Business teams the feedback they need to pivot quickly.
 
 
 Chargeback and Dispute Strategy
 
 - Design a monitoring framework to track win rate anomalies and use those insights to calibrate both the contestment strategy and the core risk scoring models.
 
 - Develop predictive models to score and prioritize winnable chargebacks, ensuring high value and high probability cases are fast tracked for automated or manual representment.
 
 
 Customer Experience and Sentiment Analysis
 
 - Analyze the "friction vs. fraud" trade-off, measuring how risk interventions (e.g., account freezes, payment option greyouts) impact legitimate user behavior and long-term sentiment.
 
 - Iteratively refine enforcement strategies to minimize false positives and protect the user journey.
 
 
 
 Qualifications
 
 
 Minimum Qualifications:
 
 - 3+ years in a data analytics role, specifically within Risk Analytics, Fraud Detection, or Trust and Safety.
 
 - Experience working with real time risk detection and automated enforcement systems.
 
 - Proficiency in Python (Pandas, Scikit-learn, LLM frameworks) and SQL for extracting insights from datasets.
 
 - Master&rsquo;s degree in Business Analytics, Statistics, Computer Science, or a related quantitative field.
 
 
 Preferred Qualifications:
 
 - Hands-on experience implementing AI agents or machine learning models to automate operational workflows (e.g., using LLMs for text classification or Vision models for ID verification).
 
 - Experience working in a fast-paced operational environment with a familiarity in managing and interpreting risk operational data; ability to translate complex model outputs into actionable workflows.
 
 
 
 About USDS
 
 
 TikTok USDS Joint Venture LLC is dedicated to the safety and security of millions of Americans who create, discover, and connect with what they love on the apps we operate. The Joint Venture has been established in compliance with the Executive Order signed by President Trump on September 25, 2025. Our foundation is a comprehensive data privacy and cybersecurity program we operate under defined safeguards to protect national security and secure U.S. user data, apps and the algorithm. We safeguard the U.S. content ecosystem, holding decision-making authority for trust and safety policies and moderation. USDS Joint Venture helps ensure Americans can continue to express their creativity, discover new hobbies and interests, and build thriving communities and businesses on a global scale.&ZeroWidthSpace;
 
 &ZeroWidthSpace;
 
 On-site presence across teams allows the company to operate with greater speed, alignment, and agility &mdash; especially in areas like real-time decision-making, team development, and integrated execution. As such, the company is shifting from a hybrid work model to a fully in-person schedule up to 5 days a week.&ZeroWidthSpace;
 
 
 
 
 Why Join Us
 
 
 Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect &ndash; and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.&ZeroWidthSpace;
 
 We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.&ZeroWidthSpace;
 
 &ZeroWidthSpace;
 
 Diversity &amp; Inclusion&ZeroWidthSpace;
 
 TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.&ZeroWidthSpace;
 
 
 
 
 USDS Reasonable Accommodation
 
 
 USDS is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/USDS-RA&ZeroWidthSpace;
 
 
 
 
 Job Information
 
 
 【For Pay Transparency】Compensation Description (Annually)
 
 The base salary range for this position in the selected city is $136800 - $312867 annually.&ZeroWidthSpace;
 
 Compensation may vary outside of this range depending on a number of factors, including a candidate&rsquo;s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.&ZeroWidthSpace;
 
 Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).&ZeroWidthSpace;
 
 The Company reserves the right to modify or change these benefits programs at any time, with or without notice.&ZeroWidthSpace;
 
 For Los Angeles County (unincorporated) Candidates:&ZeroWidthSpace;
 
 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:&ZeroWidthSpace;
 
 1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;&ZeroWidthSpace;
 
 2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and&ZeroWidthSpace;
 
 3. Exercising sound judgment.&ZeroWidthSpace;
</div>

Data Scientist, Risk Operations - USDS

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
 
 
 
 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

<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>
 
 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

TikTok

<div>
 
 Responsibilities
 
 
 PGC (Professionally Generated Content) is one of TikTok's key business directions. It satisfies users' differentiated consumption demands by providing professional content. The PGC business is divided into several core modules, including creator growth strategies, posts and content management tools, content distribution strategies, creator monetization strategies and OGC verticals.
 
 
 The primary role of a Data Scientist for our Data team is to conduct deep analysis of user behavior, product features and content ecosystem to generate business insights that could be applied to actionable improving initiatives. You will work closely with cross-function teams, such as Product Management, Research and Development, Machine Learning Engineering, to improve user experience and fulfill the growth of TikTok in all different regions.
 
 
 Responsibilities
 
 - Conduct end-to-end data analysis across content and product for the relevant business, uncover supply/demand dynamics, user behaviors and the creator ecosystem, identify growth opportunities, and drive business impact.
 
 - Design and build the core metrics framework and data systems to improve data-driven decision efficiency.
 
 - Partner with Product/Operations/Algorithm/Engineering to improve recommendation and distribution efficiency, optimize user experience, and drive strategy execution.
 
 - Design and analyze A/B tests, and causal inference; evaluate product features, strategies, and trends operations; perform core metric anomaly analysis and root-cause diagnosis.
 
 - Validate hypotheses and identify product growth opportunities through analyses, experiments, or other scientific methods, and influence directions for improvement.
 
 
 
 Qualifications
 
 
 Minimum Qualifications
 
 - Bachelor&rsquo;s degree or above in Data Science, Statistics, Econometrics, Mathematics, Computer Science, or related fields; 3+ years of experience in data analysis/data science.
 
 - Solid foundation in statistics and causal inference; proficient in A/B testing; strong quantitative analysis and impact evaluation skills.
 
 - Proficient in SQL; expert in Python or R; capable of data processing, modeling, and visualization.
 
 - Strong structured thinking and business abstraction; able to quickly understand the sports business and connect business nuances with data.
 
 
 Preferred Qualifications
 
 - Excellent communication, collaboration, and project management skills; able to drive cross-functional execution effectively.
 
 - Experience in overseas market analysis or cross-region collaboration is a plus.
 
 - Strong curiosity and self-drive; resilient; ownership mindset with positive team influence.
 
 - Practical experience in recommend systems/content distribution/growth strategies; experience in sports or content products is a plus.
 
 
 
 About TikTok
 
 
 TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.&ZeroWidthSpace;
 
 
 
 
 Why Join Us
 
 
 Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect &ndash; and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.&ZeroWidthSpace;
 
 We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.&ZeroWidthSpace;
 
 &ZeroWidthSpace;
 
 Diversity &amp; Inclusion&ZeroWidthSpace;
 
 TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.&ZeroWidthSpace;
 
 
 
 
 TikTok Accommodation
 
 
 TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/RA-request&ZeroWidthSpace;
 
 
 
 
 Job Information
 
 
 【For Pay Transparency】Compensation Description (Annually)
 
 The base salary range for this position in the selected city is $129960 - $277970 annually.&ZeroWidthSpace;
 
 Compensation may vary outside of this range depending on a number of factors, including a candidate&rsquo;s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.&ZeroWidthSpace;
 
 Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).&ZeroWidthSpace;
 
 The Company reserves the right to modify or change these benefits programs at any time, with or without notice.&ZeroWidthSpace;
 
 For Los Angeles County (unincorporated) Candidates:&ZeroWidthSpace;
 
 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:&ZeroWidthSpace;
 
 1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;&ZeroWidthSpace;
 
 2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and&ZeroWidthSpace;
 
 3. Exercising sound judgment.&ZeroWidthSpace;
</div>

Data Scientist - TikTok PGC Sports (Los Angeles)

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)

City National Bank

<div>Overview:
<div>PORTFOLIO MANAGER I</div><div></div><div> 
WHAT IS THE OPPORTUNITY?</div><div>
The Portfolio Manager is part of the credit management team focused on the long-term risk-adjusted returns for the bank within the assigned business segment and/or geographic area(s). This individual manages a sub-set of existing credits and is a key partner in the origination of new credits. Primary responsibilities include:</div><div><ul><li>
Provide comprehensive credit recommendations and presentations to key risk partners related to prospect(s) and existing clients of the bank (including moderate to complex new credit structures, modifications, and extensions) based on a comprehensive review of the borrower(s) and guarantor(s)' financials (which may include current and historical financial statements, tax returns, projections and/or cash flow proformas.)
</li><li>This individual is expected to present credit recommendations within the bank's risk appetite and framework and follow the bank's policies, processes and procedures.</li><li>
This individual is expected to be responsive to their clients' credit needs with an elevated level of client service and credit acumen to address their needs appropriately and timely.
</li><li>This individual is responsible for the ongoing oversight and management of its portfolio (including timely risk rating assessments, reporting covenants, covenant compliance, and the preparation of quarterly and annual reports.)</li></ul></div><div></div><div> 
WHAT WILL YOU DO?</div><div><ul><li>
Teamwork: Mentors junior colleagues, fosters a culture of continuous improvement and professional growth.</li><li>
Portfolio Management: Owns and manages an assigned credit portfolio, ensuring alignment with organizational goals and risk management practices, including underwriting all types of credit exposures, managing credit risk, and responding to prospective client inquiries.</li><li>
Credit Analysis: Analyzes credit data and perform underwriting to assess creditworthiness and recommend appropriate structures to the Sales team and client. Prepare underwriting memorandums and approval documents for presentation to Credit Risk.</li><li>
Performance Monitoring: Performs portfolio management activities to monitor and analyze portfolio performance, including periodic reviews and covenant tracking.</li><li>
Data Analysis: Analyzes credit data to support underwriting and creditworthiness assessments including developing and presenting individual credit recommendations.</li><li>
Risk Management: Practices effective risk management, maintaining high standards of credit quality and origination in alignment with Bank&rsquo;s credit risk appetite, and compliance with institutional and regulatory requirements.</li><li>
Collaboration: Partners with Relationship Manager(s) to successfully manage credit account relationships. Work closely with cross-functional teams to ensure cohesive and effective credit operations to achieve the Bank&rsquo;s strategic initiatives. Participate in ad-hoc projects to support the organization&rsquo;s priorities.</li><li>
Client Service: Provides exceptional client service by maintaining professionalism and effectively interacting with clients to understand their needs and provide tailored credit solutions. Participate in joint sales pitches with Relationship Manager(s).</li></ul></div><div></div><div> 
WHAT DO YOU NEED TO SUCCEED?</div><div>
Required Qualifications*<ul><li>
Bachelor's Degree or equivalent in Finance, Business or related field</li><li>
Minimum 4 years of progressively increasing credit underwriting and portfolio management experience in relevant industry/industries required</li></ul><div>
</div><div><div>
Additional Qualifications</div><ul><li>
Basic experience in credit management and lending operations, with a strong understanding of risk management principles</li><li>
Desire to build leadership and coaching skills, with the ability to train and develop talent</li><li>
Strong communication and collaboration skills, with the ability to work effectively with senior leadership and cross-functional teams</li><li>
Basic analytical skills, with the ability to interpret complex data and make informed decisions</li><li>
Industry-specific knowledge and expertise</li></ul></div><div> 
WHAT'S IN IT FOR YOU?</div><div>
Compensation<div>
Starting base salary: $41.83 - $66.81 per hour. Exact compensation may vary based on skills, experience, and location. This job is eligible for bonus and/or commissions.</div></div><div> 
Benefits and Perks</div><div>
At City National, we strive to be the best at whatever we do, including the benefits and perks we offer our colleagues including:<ul><li>
Comprehensive healthcare coverage, including Medical, Dental and Vision plans, available the first of the month following start date</li><li>
Generous 401(k) company matching contribution</li><li>
Career Development through Tuition Reimbursement and other internal upskilling and training resources</li><li>
Valued Time Away benefits including vacation, sick and volunteer time</li><li>
Specialized health and family planning benefits including fertility benefits, and cancer, diabetes and musculoskeletal support programs</li><li>
Career Mobility support from a dedicated recruitment team</li><li>
Colleague Resource Groups to support networking and community engagement</li></ul><div>
</div><div>
Get a more detailed look at our Benefits and Perks.</div></div><div> 
ABOUT US</div><div>
Since day one we've always gone further than the competition to help our clients, colleagues and communities flourish. City National Bank was founded in 1954 by entrepreneurs for entrepreneurs and that legacy of integrity, community and unparalleled client relationships continues today. City National is a subsidiary of Royal Bank of Canada, one of North America&rsquo;s leading diversified financial services companies. To learn more about City National and our dynamic company culture, visit us at About Us.</div><div> 
INCLUSION AND EQUAL OPPORTUNITY EMPLOYMENT</div><div>
City National Bank fosters an inclusive environment where all forms of diversity are valued and leveraged to make us a better company and employer. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sexual orientation, gender identity, national origin, disability, veteran status or other basis protected by law. 
 
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. 
 
<ul><li>Represents basic qualifications for the position. To be considered for this position, you must at least meet the required qualifications. careers.cnb.com accepts applications on an ongoing basis, until filled.</li></ul> 
Unless otherwise indicated as fully remote, reporting into a designated City National location is an essential function of the job.</div></div></div>

Portfolio Manager I

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