lead scientist

Total Wine & More

<p>About the Role<br/></p><p>Total Wine &amp; More is seeking a Lead Data Scientist to join our growing Data Services team in our Bethesda, MD office. You will play a pivotal role in designing, developing, and deploying machine learning and AI solutions that drive strategic decision-making and operational efficiency across Total Wine &amp; More business. You will be responsible for supporting the full lifecycle of machine learning and AI development&mdash;from initial ideation and business problem framing through model development, deployment, and ongoing performance monitoring. This role requires a strong foundation in data science, with a deep interest in learning about production-grade ML systems, and a proactive approach to translating business needs into technical solutions. You will be expected to act independently to deliver high-impact technical solutions, taking ownership of projects from concept to execution. You will mentor junior team members on technical trade-offs on solutions and provide thought leadership about how different problems can be solve. This role reports to the Senior Director, Data Science.<br/></p><p>You will<br/>Be responsible for designing machine learning and AI models by framing business problems, engineering features, and selecting appropriate algorithms and architectures. When designing solutions create processes that can be utilized for multiple business reasons and is adaptable. Responsible for larger more complex business problems that are multi-dimensional.<br/>Train models by preparing data, fitting algorithms, tuning hyperparameters, and validating robustness through cross-validation techniques. Prior to development able to articulate the trade-off on different modeling techniques and implications when applied to business problem.<br/>Validate model performance using statistical metrics, conduct fairness and bias assessments, and perform error analysis to refine model quality. Create evaluation metrics and results that tie to business outcomes. Able to articulate how model performance gain equates to business value.<br/>Deploy models into production environments by packaging them appropriately, integrating with systems, automating deployment workflows, including robust error handling and documenting for maintainability.<br/>Deploy models into production environments by packaging them appropriately, integrating with systems, automating deployment workflows, including robust error handling and documenting for maintainability.<br/>Monitor deployed models by tracking performance over time, detecting data drift, triggering retraining when necessary, and implementing logging and alerting mechanisms.<br/>Working with junior team members to discuss trade-offs and solutions for team members business problems. Provide thought leadership on different ways to advance the business utilizing machine learning and AI.<br/>Communicate model results and trade-offs to leadership and stakeholder.<br/></p><p>You will come with<br/>Bachelor's Degree in Data Science, Computer Science, Mathematics, Statistics, Economics or related fields required or equivalent years of experience.<br/>Master's Degree in Computer Science, Mathematics, Statistics or related field preferred.<br/>5-8 years in data science, predictive analytics, econometrics, software engineering, data engineering or related fields preferred.<br/>Proven expertise in designing and architecting advanced machine learning and AI solutions, including leading efforts to frame complex business problems, define scalable feature engineering strategies, and select optimal algorithms and architectures for enterprise-level applications.<br/>Proven expertise in model training and optimization, with the ability to design efficient training pipelines, implement distributed training strategies, and apply sophisticated hyperparameter tuning techniques to maximize performance and scalability.<br/>Proven expertise in model validation and governance, including establishing rigorous evaluation frameworks, conducting comprehensive fairness and bias audits, and driving continuous improvement through advanced error analysis and benchmarking.<br/>Proven expertise in production deployment of ML systems, including designing robust CI/CD pipelines, implementing containerization and orchestration (e.g., Docker, Kubernetes), and ensuring compliance with security and reliability standards across cloud environments.<br/>Oversight of model monitoring and lifecycle management, including building automated monitoring systems, implementing drift detection and retraining workflows, and defining alerting mechanisms to maintain long-term model health and business impact.<br/>Expert-level programming skills in Python and SQL, with the ability to develop production-grade code, optimize queries for large-scale datasets, and mentor team members on best practices for coding and data management.<br/>Working with junior team members to discuss trade-offs and solutions for team members business problems. Provide thought leadership on different ways to advance the business utilizing machine learning and AI.<br/>We offer<br/>Paid Time Off (PTO)<br/>Generous store discounts<br/>Health care plans (medical, prescription, dental, vision)<br/>401(k), HSA, FSA, Pre-tax commuter benefits<br/>Disability &amp; life insurance coverage<br/>Paid parental leave<br/>Pet insurance<br/>Critical illness and accident insurance<br/>Discounted home and auto insurance<br/>College tuition assistance<br/>Career development &amp; product training<br/>Consumer classes<br/>&amp; More!<br/></p><p>Grow with us<br/></p><p>Total Wine &amp; More is the country's largest independent retailer of fine wine, beer and spirits, and we continue to grow our footprint year over year. Total Wine offers exciting and unique career opportunities across the country and in our corporate office. Our strength is our people. We have a commitment to training and career growth, all in an environment that values new ideas and teamwork. If you share our entrepreneurial spirit and a passion for providing best-in-class customer experience, take a moment to apply or learn more at https://careers.totalwine.com/!<br/></p><p>Total Wine &amp; More considers several factors when establishing compensation. Estimated salaries determined by third parties have not been validated by Total Wine &amp; More. Compensation may vary based on a number of factors including, but not limited to, market location, job-related knowledge, skills and/or experience.<br/></p><p>Total Wine &amp; More is an equal opportunity employer and all qualified applicants will receive consideration for employment without discrimination based on race, color, religion, national origin, sex, sexual orientation, age, marital status, veteran status, disability, or any other characteristic protected by applicable law. Total Wine &amp; More makes reasonable accommodations during all aspects of the employment process, including during the interview process. Total Wine &amp; More is a Drug Free Workplace.<br/></p><p>The information provided above indicates the general nature and level of work required of the position and is not a comprehensive list of all responsibilities or qualifications. Benefits list is only a highlight of some of the benefits offered to team members; eligibility for certain benefits apply.<br/></p>

Lead Data Scientist

Starbucks

<div><p><b>Now Brewing &ndash; Lead Data Scientist, Data &amp; Analytics! #tobeapartner</b></p><p>
From the beginning, Starbucks set out to be a different kind of company. One that not only celebrated coffee and the rich tradition, but that also brought a feeling of connection. We are known for developing extraordinary leaders who share this passion and are guided by their service to others.</p><p>
Are you driven to uncover meaningful insights and build data-powered solutions that shape the future of the world&rsquo;s leading coffeehouse brand?</p><p>
As a Lead Data Scientist on the Digital Data Science team, you will lead the development of advanced AI/ML models powering personalization &amp; recommendations for Starbucks digital surfaces such as the mobile app, web, digital menu boards and digital drive thru screens. You will drive the evolution of existing models and apply rigorous statistical methods to help achieve 1:1 personalization at the customer level, contextual personalization based on external signals and operational personalization that aligns with our ecosystem of stores. Your work will directly impact millions of Starbucks customers and coffee occasions at scale.</p><p>
The D&amp;A organization spans four key pillars: Customer, Retail Operations, Supply Chain, and Enterprise. Each domain is focused on solving unique and complex challenges through data science. Whether personalizing marketing campaigns, optimizing store operations, improving inventory flow, or unlocking enterprise-wide initiatives, our data scientists apply advanced analytics, experimentation, and modeling to elevate the Starbucks experience. This centralized recruiting approach allows us to match candidates with the most relevant opportunities based on their skills and interests, ensuring alignment with business needs and personal growth. Join a team where data meets purpose to shape what&rsquo;s next for Starbucks.</p><p></p><p><b><i><br>
As a lead data scientist, you will&hellip;</i></b></p><p></p><ul><li><br>
 Lead the design and development of scalable data science solutions from the start to the finish by utilizing machine learning, and statistical analysis. Build scalable processes for cleaning, aggregating, and loading data.</li><li> Understanding business initiatives, challenges, questions, concerns, or ideas, transforming them into successful data science solutions, and monitor data science metrics and KPIs</li><li> Mentor data analysts &amp; data scientists on best practices, processes, frameworks, and KPIs</li><li> Contribute to project planning, and assist the team with estimations, timelines, and prioritization. Assists in developing the analytical roadmap, data, and technology strategy.</li><li> Own the end-to-end lifecycle of AI/ML solutions, from ideation and prototyping to production deployment, ensuring robust offline evaluation and real-time performance monitoring.</li></ul><p></p><p><b><i><br>
We&rsquo;d love to hear from people with:</i></b></p><ul><li> Education: BS+ with a concentration in a quantitative discipline - Stats, Math, Comp Sci, Engineering, Econ, Quantitative Social Science or similar discipline. Master&rsquo;s and/or PhD preferred</li><li> Minimum of 8+ years of progressive experience in data science, with a proven track record of end-to-end data product and model deployment that delivers measurable business impact.</li><li> Strong foundation in machine learning and statistical techniques, including regression, classification, clustering, and causal inference</li><li> Demonstrated track record of delivering AI/ML models into production with measurable business impact, including expertise in evaluation techniques (A/B testing, lift analysis) and model governance</li><li> Strong problem-solving skills with the ability to influence leadership teams at different levels</li><li> Strong SQL, databases, and ETL / ELT skills required including cleaning and managing data.</li><li> Advanced competency and expertise in Python, R, or some combination</li><li> Experience working with distributed data processing frameworks such as Spark and Databricks, and languages such as Java, PySpark, or Scala</li><li> Strong collaboration instincts &ndash; desire &amp; ability to work with partners to achieve the best outcome for the business.</li><li> Excellent communication, presentation, and storytelling skills. The role requires effective communication with colleagues, stakeholders, and leaders from diverse backgrounds.</li><li> Proven ability to manage multiple, time-sensitive projects and competing priorities simultaneously to drive projects to completion with minimal guidance and high attention to details.</li></ul><p></p><p><b><i><br>
Preferred skills:</i></b></p><ul><li> Experience building personalization and recommendation systems (e.g., collaborative filtering, content-based, or hybrid approaches) for digital platforms or mobile apps.</li><li> Familiarity with ranking algorithms, reinforcement learning, and contextual bandits for optimizing customer experiences.</li><li> Hands-on experience with model deployment in production environments, including monitoring, retraining, and performance optimization at scale.</li><li> Strong understanding of offline and online evaluation techniques for recommendation systems (e.g., precision/recall, NDCG, A/B testing).</li><li> Knowledge of feature engineering for behavioral and transactional data, and experience leveraging real-time data streams for model updates.</li></ul><p></p><p><br>
As a Starbucks partner, you (and your family) will have access to medical, dental, vision, basic and supplemental life insurance, and other voluntary insurance benefits. Partners have access to short-term and long-term disability, paid parental leave, family expansion reimbursement, paid vacation from date of hire*, sick time (accrued at 1 hour for every 25 hours worked), eight paid holidays, and two personal days per year. Starbucks also offers eligible partners participation in a 401(k) retirement plan with employer match, a discounted company stock program (S.I.P.), Starbucks equity program (Bean Stock), incentivized emergency savings, and financial well-being tools. Additionally, Starbucks offers 100% upfront tuition coverage for a first-time bachelor&rsquo;s degree through Arizona State University&rsquo;s online program via the Starbucks College Achievement Plan, student loan management resources, and access to other educational opportunities. You will also have access to backup care and DACA reimbursement. Starbucks will comply with any applicable state and local laws regarding employee leave benefits, including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces Act, and in accordance with its plans and policies. This list is subject to change depending on collective bargaining in locations where partners have a certified bargaining representative. For additional information regarding partner perks and more detailed information about benefits, go to starbucksbenefits.com.</p><ul><li>If you are working in CA, CO, IL, LA, ME, MA, NE, ND or RI, you will accrue vacation up to a maximum of 120 hours (190 in CA) for roles below director and 200 hours (316 in CA) for roles at director or above. For roles in other states, you will be granted vacation time starting at 120 hours annually for roles below director and 200 hours annually for roles director and above.</li></ul><p></p><p><br>
The actual base pay offered to the successful candidate will be based on multiple factors, including but not limited to job-related knowledge/skills, experience, geographical location, and internal equity. At Starbucks, it is not typical for an individual to be hired at the high end of the range for their role, and compensation decisions are dependent upon the facts and circumstances of each position and candidate.</p><p></p><p><br>
We believe we do our best work when we're together, which is why we're onsite four days a week.</p><p></p><p><b><br>
Join us and inspire with every cup. Apply today!</b></p><p><i>
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, physical or mental disability, sexual orientation, marital status, military or veteran status, gender identity and expression, genetic information, or any other factor protected by law.</i></p><p><i>
We are committed to creating a diverse and welcoming workplace that includes partners with diverse backgrounds and experiences. We believe that enables us to better meet our mission and values while serving customers throughout our global communities. People of color, women, LGBTQIA+, veterans and persons with disabilities are encouraged to apply.</i></p><p><i>
Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal state and local ordinances. Starbucks Corporation is committed to offering reasonable accommodations to job applicants with disabilities. If you need assistance or an accommodation due to a disability, please contact us at </i><i>applicantaccommodation@starbucks.com</i><i>.</i></p></div>

lead data scientist - Seattle, WA

TransUnion

<p></p><div><p>TransUnion's Job Applicant Privacy Notice
</p><p>Personal Information We Collect
</p><p>Your Privacy Choices
</p><p></p><p><b>Team Overview
</b></p><p></p>At TransUnion, this team reports to a Director of Data Science &amp; Analytics, playing an integral role by working end-to-end with financial services clients, fostering consultative relationships that enable them to deliver impactful solutions. This team specializes in building both custom and generic models tailored to each client&rsquo;s unique needs, ensuring that every engagement is as effective as possible.&amp;#xa;&amp;#xa;This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week.
<p></p><p><b>Role Overview and Core Responsibilities
</b></p><ul><li><p>You will partner with internal and external cross-functional teams to drive new business initiatives and deliver long term value-added product propositions for B2B customers in the US financial services segment at TransUnion. This includes but is not limited to the development of predictive risk management and business intelligence solutions for credit card issuers, auto &amp; mortgage lenders, collections agencies and retail banks.
</p></li><li><p>You will lead analytic client engagements involving descriptive, predictive, and prescriptive analysis through the consumer lending portfolio lifecycle, leveraging a variety of techniques (e.g., segmentation, logistic regression, survival analysis, principal component analysis, Monte Carlo simulation, scenario and sensitivity analysis).
</p></li><li><p>You will design and write programs for data extraction, segmentation and statistical analysis on large population datasets using languages such as R, Python, SQL, Hive, and Pig on Linux, PC, and mainframe computing platforms.
</p></li><li><p>You will deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers and an executive audience.
</p></li><li><p>You will develop project proposals, sales presentations and promotional collateral to enable the adoption of integrated customer solutions supported by TransUnion.
</p></li><li><p>You will identify strategies and opportunities for customers to test and adopt TransUnion&rsquo;s analytic products and services.
</p></li><li><p>You will provide mentorship and training to junior colleagues and maintain progress on all initiatives under limited direct supervision.
</p></li><li><p>You will foster a high performance culture and cultivate an environment that promotes excellence and reflects the TransUnion brand.
</p></li></ul><p></p><p><b>Required Knowledge and Experiences
</b></p><ul><li><p>Bachelors (4 year) degree in statistics, applied mathematics, financial mathematics, engineering, operations research, or another highly quantitative field.
</p></li><li><p>7+ years of professional experience performing analytic work in Financial Services, consumer credit, or a related industry
</p></li><li><p>Strong analytical, critical thinking, and creative problem-solving skills
</p></li><li><p>Advanced programming skills; proficiency with R/Python and SQL; experience using other programming and data manipulation languages preferred (Hive, Pig, C/C++, Java); high level of familiarity with Microsoft Office tools
</p></li><li><p>Versatile interpersonal and communication style with the ability to effectively communicate at multiple levels within and outside the organization; ability to work in a collaborative, fast-paced environment
</p></li><li><p>Strong project management skills with the ability to manage multiple assignments effectively
</p></li><li><p>Ability to travel 10-20%
</p></li></ul><p></p><p><b>We&rsquo;re also looking for the preferred skills below. Whether you are proficient or could use some brushing up, we&rsquo;re happy to support your career development and growth in:
</b></p><ul><li><p>Master's or PhD degree in statistics, applied mathematics, financial mathematics, engineering, operations research, or another highly quantitative field. And, at least two (2) years of professional experience performing advanced analytic work in Financial Services, consumer credit, or a related industry
</p></li><li><p>Familiarity with credit bureau data and business practices
</p></li><li><p>Experienced in managing full life cycle of credit risk models and look alike models for consumer financial services industry, including model design, development, and deployment, monitoring, and validation
</p></li><li><p>Operates independently in a complex and dynamic, matrixed environment
</p></li><li><p>Experienced working in a company with a global presence
</p></li><li><p>Experience with modern &quot;big data&quot; frameworks (Hadoop, Spark, cloud)
</p></li></ul><p></p><p><b>Benefits that support every part of your life:
</b></p><p>At TransUnion, we design benefits to help you feel well, do well, and plan well&mdash;from day one.
</p><p><b>For Your Health </b>: Enjoy day-one eligibility for medical, dental, and vision coverage, plus supplemental plan options. Spousal, domestic partner, and other eligible dependent coverage is available on select plans. Choose tax‑advantaged HSA and FSA accounts to make everyday care more affordable.
</p><p><b>For Your Protection </b>: We&rsquo;ve got your back with company‑paid basic life and AD&amp;D, optional voluntary life and AD&amp;D for you and your family, and short‑ and long‑term disability. You can also opt into a legal plan, pet insurance, and travel accident coverage.
</p><p><b>For Your Family </b>: From adoption assistance and fertility planning coverage to caregiver support, we&rsquo;re here for every chapter. Access Dependent Care FSA for possibility of an employer match, a complimentary Care@Work membership, and up to 12 weeks of paid parental leave with eligibility for a thoughtful, gradual return.
</p><p><b>For Your Future </b>: Build toward what&rsquo;s next with our 401(k) with employer match and Employee Stock Purchase Plan (ESPP). Tap financial wellness resources, career coaching, and optional long‑term care insurance to plan confidently.
</p><p><b>For You </b>: Grow and recharge with tuition reimbursement, flexible time off for exempt employees or paid time off for nonexempt employees, up to 12 paid holidays per year, commuter benefits, employee discounts, charitable gift matching, and paid volunteer time off, plus corporate volunteer events that make it easy to give back.
</p><p><b>For Your Wellness </b>: Access 24/7 support including professional therapy, coaching, and emotional well‑being programs alongside guided meditation and resources that support physical, mental, social, and financial wellness.
</p><p></p><p>We are committed to being a place where diversity is not only present, it is embraced. As an equal opportunity employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, veteran status, genetic information, marital status, citizenship status, sexual orientation, gender identity or any other characteristic protected by law. Additionally, in accordance with Section 503 of the Rehabilitation Act of 1973 and the Vietnam Era Veterans&rsquo; Readjustment Assistance Act of 1974, TransUnion takes affirmative action to employ and advance in employment qualified individuals with a disability and protected veterans in all levels of employment and develops annual affirmative action plans. Components of TransUnion&rsquo;s Affirmative Action Program for individuals with disabilities and protected veterans are available for review to any associate or applicant for employment upon request by contacting ERCoE@transunion.com .
</p><p></p><p>Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, Fair Chance Initiative for Hiring Ordinance, and the California Fair Chance Act.
</p><p></p><p>Adherence to Company policies, sound judgment and trustworthiness, working safely, communicating respectfully, and safeguarding business operations, confidential and proprietary information, and the Company&rsquo;s reputation are also essential expectations of this position.
</p><p></p><h2 class="jobSectionHeader"><b>Pay Scale Information:
</b></h2><p></p>The U.S. base salary range for this position is $90,000.00 - $150,000 annually. *The salary range for this position reflects a reasonable estimate of the range of compensation for this job. At TransUnion, actual compensation is based on careful consideration of additional factors such as (but not limited to) an individual&rsquo;s education, training, work experience, job-related skill set, location, and industry knowledge, as well as the scope and responsibilities of the position and market considerations. Regular, fulltime non-sales positions may be eligible to participate in TransUnion&rsquo;s annual bonus plan. Certain positions may be also eligible for long-term incentives and other payments based on applicable company guidance and plan documents.&amp;#xa;
<p></p><p><b>TransUnion Overview:
</b></p><p>At TransUnion, we encourage and are committed to creating a real, positive impact and shared sense of purpose within our <b>Workforce for Good </b>, which empowers our people to grow, innovate and contribute to a better future for our communities and customers. We strive to build an environment where our associates are in the driver&rsquo;s seat of their professional development&mdash; while having access to help along the way. We recognize that success comes when our associates thrive both professionally and personally; that&rsquo;s why we prioritize work/life flexibility and offer resources for our teams across the globe to collaborate and drive excellence.<br>
</p><p></p><p>Be a part of our <b>Workforce for Good </b>&ndash; you&rsquo;ll work with great people, pioneering products and cutting-edge technology.
</p><p></p><p>TransUnion's Internal Job Title:
</p>Sr Consultant, Data Science and Analytics
<p></p><p>Company:
</p>TransUnion LLC</div>

Lead Data Scientist, Financial Services Consulting

University of Missouri

<div><div><div><h2 class="jobSectionHeader"><b>Hiring Department</b></h2><div><br>
<div><div>
</div><p>Life Sciences Center</p>
</div></div></div></div><div><div><h2 class="jobSectionHeader"><b>
Job Description</b></h2><div><br>
<div><div>
</div><p>The Wan Influenza Systems Biology Lab seeks applications for a Senior Scientist in Computational Biology. The lab is affiliated with the Departments of Molecular Microbiology and Immunology (School of Medicine), Electrical Engineering and Computer Science (College of Engineering), and Veterinary Pathobiology (College of Veterinary Medicine), and is part of NextGen Center for Influenza and Emerging Infectious Diseases (CIEID) and Bond Life Sciences Center (LSC).</p><p>
Our research integrates clinical, experimental, computational, and translational approaches to study influenza transmission, including mechanisms of spread, viral evolution, and host immune responses. Our goal is to improve vaccines and antiviral strategies, reduce disease burden, and mitigate outbreaks.</p><p>
Responsibilities:</p><p>
The successful candidate will contribute to projects in one or more of the following areas: influenza transmission and epidemic outbreaks, including developing advanced deep learning models to predict emerging antigenic and genetic variants in human and animal populations and modeling how these variants drive continued circulation and disease outbreaks; effects of prior exposures and infection, including developing within-host and deep learning models to understand molecular, cellular, and host factors, particularly pre-existing immunity from prior exposures, that shape immune responses, viral transmission, and spread; and omics analyses, including developing and applying integrative approaches to analyze genomics, single-cell RNA sequencing, and glycomics data to investigate host&ndash;pathogen interactions and mechanisms of disease progression and burdens.</p><p>
The candidate will be expected to lead a computational biology team, including postdoctoral fellows, graduate students, and junior lab members, and to publish in peer-reviewed journals. The computational team will work closely with experimental researchers to support data generation and validation across human studies, animal models, and laboratory-based approaches. Additional responsibilities include contributing to project reports and grant preparation. Strong motivation and the ability to work collaboratively within a diverse, interdisciplinary team are essential.</p><p>
We support professional growth through collaborations with leading researchers at MU and beyond, along with opportunities for grant writing and independent project development</p>
</div></div></div></div><div><div><h2 class="jobSectionHeader"><b>
Shift</b></h2><div><br>
<div><div>
</div><p>Onsite, Monday - Friday, 8am &ndash; 5pm</p>
</div></div></div></div><div><div><h2 class="jobSectionHeader"><b>
Minimum Qualifications</b></h2><div><br>
<div><div>
</div><p>Bachelor's degree in related/relevant area and at least 4 years of experience from which comparable knowledge and skills can be acquired is necessary.</p>
</div></div></div></div><div><div><h2 class="jobSectionHeader"><b>
Preferred Qualifications</b></h2><div><br>
<div><div>
</div><p>PhD in Computer Science, Computational Biology, or a related field, with postdoctoral (or equivalent) research experience. Demonstrated expertise in computational modeling, machine learning (particularly deep learning), and analysis of large-scale biological datasets (e.g., genomics, transcriptomics, or other omics data). Strong programming skills (e.g., Python, R, or similar), experience with high-performance computing environments, and a track record of peer-reviewed publications are highly desirable.</p>
</div></div></div></div><div><div><h2 class="jobSectionHeader"><b>
Anticipated Hiring Range</b></h2><div><br>
<div><div>
</div><p>Salary Range: $72,000.00 - $110,000.00 per year</p><p>
Grade: GGS 011</p><p>
University Title: Senior Scientist</p><p>
Internal applicants can determine their University title by accessing the Talent Profile tile in myHR.</p><br>
</div></div></div></div><div><div><h2 class="jobSectionHeader"><b>
Application Materials</b></h2><div><br>
<div><div>
</div><p>Cover letter &amp; Resume/CV</p>
</div></div></div></div><div><div><h2 class="jobSectionHeader"><b>
Other Information</b></h2><div><br>
<div><div>
</div><p>Want to learn more directly from people that work at the Bond Life Sciences Center? Check out our latest video highlighting the important work and experiences of our team:</p><p>
https://mizzou.us/WorkatBondLSC
</p><p>About Us:<br>
The Bond Life Sciences Center at the University of Missouri is a dynamic hub where groundbreaking research meets real-world impact. Designed to foster interdisciplinary collaboration, our state-of-the-art facility brings together experts in diverse fields&mdash;engineers, cancer biologists, plant scientists, and IT specialists&mdash;all working towards a common goal: to save lives, reduce costs, and enhance everyday life for Missourians and people around the globe.</p><p>
Our Mission:<br>
We are committed to transforming scientific discoveries into actionable solutions. Our innovative research not only addresses pressing challenges in human and animal health, the environment, and agriculture, but it also translates into meaningful improvements in the lives of individuals everywhere. We also strive to share our findings with the public, ensuring that our discoveries resonate far beyond the lab in a language anyone can understand through our blog, Decoding Science, events for the public, social media and more.</p><p>
Why Join Us?<br>
At the Bond Life Sciences Center, you&rsquo;ll be part of a vibrant community dedicated to making a difference. Our collaborative environment not only supports innovative research but also ensures that our discoveries lead to tangible benefits for society. Work in an award-winning facility designed for creativity and impact and contribute to a mission that truly changes lives.</p><p>
Join us in our quest to advance science and improve lives, one discovery at a time!</p>
</div></div></div></div><div><div><h2 class="jobSectionHeader"><b>
Community Information</b></h2><div><br>
<div><div>
</div><p>Columbia offers small-town friendliness with big city features and a high quality of life for people of all ages and interests. Founded on education and known as an ideal college town, its location also makes it an attractive spot for businesses and travelers. Located on Interstate 70 and U.S. Highway 63, Columbia is right in the middle of the state and the nation. Just a couple hours&rsquo; drive from St. Louis and Kansas City, Columbia is Boone County&rsquo;s largest population center offering big-city culture, activities, and resources with a low cost of living. Columbia is home to a variety of restaurants and entertainment venues and hosts more than a dozen festivals each year. If you want to grow your career, continue your education, raise a family, and retire, Columbia is a good place to be!</p>
</div></div></div></div><div><div><h2 class="jobSectionHeader"><b>
Benefit Eligibility</b></h2><div><br>
<div><div>
</div><p>This position is eligible for University benefits. As part of your total compensation, the University offers a comprehensive benefits package, including medical, dental and vision plans, retirement, paid time off, short- and long-term disability, paid parental leave, paid caregiver leave, and educational fee discounts for all four UM System campuses. For additional information on University benefits, please visit the Faculty &amp; Staff Benefits website at https://www.umsystem.edu/totalrewards/benefits.</p><p></p><p><b><br>
Equal Employment Opportunity</b></p><p>
The University of Missouri is an Equal Opportunity Employer.</p><p><br>
To request ADA accommodations, please call the Director of Accessibility and ADA at 573-884-7278.</p></div></div></div></div></div>

Senior Scientist - Wan Lab

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
The Artificial General Intelligence (AGI) team is seeking a dedicated, skilled, and innovative Applied Scientist with a robust background in machine learning, statistics, quality assurance, auditing methodologies, and automated evaluation systems to ensure the highest standards of data quality, to build industry-leading technology with Large Language Models (LLMs) and multimodal systems.<br>
<br>
Key job responsibilities<br>
As part of the AGI team, an Applied Scientist will collaborate closely with core scientist team developing Amazon Nova models. They will lead the development of comprehensive quality strategies and auditing frameworks that safeguard the integrity of data collection workflows. This includes designing auditing strategies with detailed SOPs, quality metrics, and sampling methodologies that help Nova improve performances on benchmarks. The Applied Scientist will perform expert-level manual audits, conduct meta-audits to evaluate auditor performance, and provide targeted coaching to uplift overall quality capabilities. A critical aspect of this role involves developing and maintaining LLM-as-a-Judge systems, including designing judge architectures, creating evaluation rubrics, and building machine learning models for automated quality assessment. The Applied Scientist will also set up the configuration of data collection workflows and communicate quality feedback to stakeholders. An Applied Scientist will also have a direct impact on enhancing customer experiences through high-quality training and evaluation data that powers state-of-the-art LLM products and services.<br>
<br>
A day in the life<br>
An Applied Scientist with the AGI team will support quality solution design, conduct root cause analysis on data quality issues, research new auditing methodologies, and find innovative ways of optimizing data quality while setting examples for the team on quality assurance best practices and standards. Besides theoretical analysis and quality framework development, an Applied Scientist will also work closely with talented engineers, domain experts, and vendor teams to put quality strategies and automated judging systems into practice.</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience implementing algorithms using both toolkits and self-developed code</li><li>Have publications at top-tier peer-reviewed conferences or journals</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, MA, Boston - 136,000.00 - 184,000.00 USD annually<br>
USA, WA, BELLEVUE - 136,000.00 - 184,000.00 USD annually</div><p></p>

Applied Scientist, Artificial General Intelligence, AGI Data Services

Impetus Technologies

<p></p><div><div><div><div><div><div><div><p>United States</p></div></div></div><div><div><div><br>
</div></div></div></div></div></div><div><div><div><div><div><div><div><div><p>
Qualification</p><div>
:</div></div><div><div><p>
Requires a Master's Degree in Data Scientist and 1 year of experience. Experience as a Software Engineer is acceptable, or any suitable combination of education, training or experience thereof.<br>
</p></div></div></div></div></div><div><div><div><div><p>Skills Required</p><div>
:</div></div><div><p>
Cloud &amp; Big Data, AI, ML</p></div></div></div></div><div><div><div><div><p>
Role</p><div>
:</div></div><div><div><p>
Position is for a Data Scientist (internal title: Research Scientist) responsible for designing, building, and implementing enterprise-level data warehouses and data lakes for corporate clients. Duties include, but are not limited to: Build and maintain data warehouses, data lakes, and modern analytics platforms to support high-volume data processing and reporting; data science techniques, including predictive modeling, clustering, and regression, to extract insights and support informed decision-making; Leverage advanced AI/ML approaches including deep learning, NLP, unsupervised learning, and reinforcement learning to improve forecasting accuracy, automate processes, and generate business insights; Lead the design and development of scalable data pipelines and ETL workflows, ensuring data is accurate, accessible, and ready for analytics; Engage with clients to understand business challenges and translate them into practical, data-driven solutions; Implement generative AI and Retrieval-Augmented Generation (RAG) systems to enhance analytics applications and automate knowledge retrieval; Collaborate with business analysts, architects, and data scientists to deliver integrated solutions combining traditional data engineering with advanced AI capabilities; Ensure data quality, governance, and compliance by implementing validation frameworks and monitoring systems for large-scale data operations; Migrate legacy systems and mainframe workflows to scalable cloud or hybrid platforms to improve performance and support modernization initiatives; Develop interactive dashboards and reporting solutions to provide visibility into KPIs, operational metrics, and analytical outputs; Integrate big data processing frameworks to manage high-volume structured and unstructured datasets and improve analytical efficiency; Conduct performance optimization for data pipelines, ML workloads, and cloud systems to reduce latency and improve scalability; Implement CI/CD workflows for data engineering and machine learning components to ensure consistent deployment and version control; Document system architectures, data workflows, and AI model behavior to support knowledge transfer and regulatory compliance; and stay current with emerging technologies, including Agentic AI, cloud-native services, and next-generation ML frameworks, and evaluate their applicability to enterprise use cases.</p><br>
<p><br>
Jobsite: Position allows for hybrid employment (three days on-site and two days remote), but must be willing to travel to various unanticipated jobsites within the U.S. Frequency of travel is unanticipated.</p>
</div></div></div></div></div><div><div><div><div><p>
Experience</p><div>
:</div></div><div><p>
Up to 1 year</p></div></div></div></div><div><div><div><div><p>
Job Reference Number</p><div>
:</div></div><div><p>
13743</p></div></div></div></div></div></div></div></div></div><p></p>

Data Scientist

Arrow Electronics

<div>
 <strong>
  Position
  <br/>
  <br/>
 </strong>
 Data Scientist / Senior Machine Learning Engineer
 <br/>
 <br/>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 <strong>
  Position Overview:
  <br/>
  <br/>
 </strong>
 As Data Scientist / Senior Machine Learning Engineer at Arrow Electronics, you will assume a pivotal role in driving our data science and machine learning initiatives to reach unprecedented heights. Collaborating closely with cross-functional multinational teams, your responsibilities will encompass the end-to-end machine learning lifecycle, including stakeholder communications, data analysis, designing, development, deployment, and optimization of cutting-edge models aimed at addressing intricate challenges and generating actionable insights. Your expertise in data analysis, model development, and deployment will be crucial in shaping the future of our company.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Machine Learning Model Development: Design, develop, and implement advanced machine learning models and algorithms to solve real-world problems in various domains.
  </li>
  <li>
   Data Analysis: Explore and analyze large datasets to extract meaningful insights and identify trends, anomalies, and patterns.
  </li>
  <li>
   Model Evaluation: Evaluate the performance of machine learning models using appropriate metrics and fine-tune models for optimal results.
  </li>
  <li>
   Deployment: Lead the deployment of machine learning models into production environments and ensure scalability and efficiency.
  </li>
  <li>
   Cross-functional Collaboration: Collaborate closely with business stakeholders, software engineers, data engineers, and domain experts to integrate machine learning solutions into our products and services.
  </li>
  <li>
   Mentorship: Provide guidance and mentorship to junior data scientists and machine learning engineers, fostering a culture of continuous learning and growth.
  </li>
  <li>
   Research and Innovation: Stay up-to-date with the latest advancements in the field of data science and machine learning and apply innovative techniques to solve complex challenges.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Proven experience (2 to 5 years) in developing and deploying machine learning models in a production environment.
  </li>
  <li>
   Proficiency in programming languages, especially Python, and experience with data-related libraries such as pandas, matplotlib, NumPy, etc.
  </li>
  <li>
   Strong knowledge of machine learning frameworks and libraries.
  </li>
  <li>
   Expertise in data preprocessing, feature engineering, and model selection.
  </li>
  <li>
   Familiarity with large language models and AI agent design.
  </li>
  <li>
   Experience with text-based NLP, information extraction, entity recognition, and text-related data science tasks is highly desirable.
  </li>
  <li>
   Strong communication skills and the ability to convey technical concepts to non-technical stakeholders.
  </li>
  <li>
   Experience with vectorized databases and unstructured search engines is a plus.
  </li>
  <li>
   A Master&rsquo;s degree in computer science, Statistics, Data Science, or a related field is a plus.
  </li>
  <li>
   Publications or contributions to open-source projects are a plus.
   <br/>
   <br/>
  </li>
 </ul>
 If you are a passionate and experienced Data Scientist / Senior Machine Learning Engineer who thrives on solving challenging problems and wants to make a significant impact in the field, we encourage you to apply and join our dynamic team at Arrow Electronics Together, we will drive innovation and shape the future of data science and machine learning.
 <br/>
 <br/>
 <strong>
  Location:
  <br/>
  <br/>
 </strong>
 EG-Cairo, Egypt (Al Emdad &amp; Al Tamween)
 <br/>
 <br/>
 <strong>
  Time Type
  <br/>
  <br/>
 </strong>
 Full time
 <br/>
 <br/>
 <strong>
  Job Category
  <br/>
  <br/>
 </strong>
 Information Technology
</div>


Data Scientist / Senior Machine Learning Engineer

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