Senior Data Scientist - Media Optimization Job at Microsoft Corporation (Redmond)

Senior Data Scientist – Audience Data Product

We are looking for a Senior Data Scientist – Audience Data Product to join our G...

Location

United States , Bethesda, MD

Salary:

52.06 - 82.45 USD / Hour

Marriott Bonvoy

Expiration Date

Until further notice

Requirements

4-year degree from an accredited university in Data Analytics, Computer Science, Engineering, Information Systems, or a similar quantitative discipline, with 4+ years of experience demonstrating progressive career growth and a history of exceptional performance in data science or analytics OR 2+ years of experience in data science or analytics with a Master's degree
Proven experience in building and optimizing audience segmentation and lookalike models for targeted advertising using data science techniques, including clustering, classification, and predictive modeling
Strong experience with writing AI/ML models in Python, Spark or SQL, and familiarity with cloud data warehouses (e.g., Snowflake, AWS) for data processing and model deployment
Demonstrated ability to use data science methodologies (e.g., machine learning, statistical modeling) to analyze and optimize large-scale datasets for audience targeting
Ability to collaborate cross-functionally with marketing, digital, and technology teams to align on broader data strategies and contribute insights to media optimization and performance measurement

Job Responsibility

Design and develop audience segmentation and various lookalike models to optimize targeting across owned & paid channels
Work with cross-functional teams to collect, analyze, and optimize media exposure data for continuous media optimization and audience measurement
Collaborate closely with teams from marketing, digital, and technology to evolve the media data ecosystem, leveraging advanced tools such as cloud data warehouses (Snowflake), data cleanrooms, and customer data platforms (CDPs)
Develop and implement segmentation and modeling strategies
Collaborate with marketing and analytics teams to design and build segmentation models and lookalike models for optimized targeting across paid media channels
Work with the AdTech and IT teams to ensure effective integration and deployment of data infrastructure that supports segmentation and audience activation efforts
Align segmentation models and tactics with the broader organizational data strategy to ensure consistency with long-term business goals and objectives
Collaborate closely with marketing and analytics teams to define key performance indicators (KPIs) and data requirements for optimizing segmentation strategies, improving campaign targeting, and driving ROI
Collaborate with technical teams and vendors (e.g., AWS, Snowflake) to build and enhance infrastructure that supports data-driven segmentation, model development, and performance measurement
Identify and work on improving processes that enhance data quality and reduce manual interventions in segmentation model development and activation workflows

What we offer

Coverage for medical, dental, vision, health care flexible spending account, dependent care flexible spending account, life insurance, disability insurance, accident insurance, adoption expense reimbursements, paid parental leave, 401(k) plan, stock purchase plan, discounts at Marriott properties, commuter benefits, employee assistance plan, and childcare discounts

Fulltime

Senior Data Scientist, Decisions

Rocket Money is looking for a Senior Data Scientist to drive marketing efficienc...

Location

United States , San Francisco, CA; Washington, D.C.; New York City, N.Y.; Silver Spring; Miami; Denver

Salary:

180000.00 - 220000.00 USD / Year

Truebill

Expiration Date

Until further notice

Requirements

6+ years of professional experience in data science
Proficiency in SQL
Proficiency in at least one scripting language
Proficiency in statistical modeling
Proficiency in engineering scalable experimentation solutions
Expert level experiment design and assessment skills
Direct experience building production grade tooling for operational use by teams of internal decision makers
Experience driving marketing and product strategy with experimental and observational data
Experience working with engineering teams to design optimal feedback signals between applications and ad networks or build experimentation platforms
Proven ability to collaborate across teams and communicate technical insights effectively

Job Responsibility

Lead internal marketing effectiveness measurement and estimation approaches
Lead projects from start to finish
Design and conduct experiments to estimate the impact of marketing and product strategies
Lead a systematic marketing and product experimentation program
Contribute to product experimentation via expert level experimental design, assessment, and collaboration with product managers
Work with data engineering and analytics teams to build scalable and durable machine learning to data analytics pipelines
Build, test, and deliver internal facing predictive tools
Effectively design and assess experiments for a variety of user facing experiences
Mentor other members, participate in code reviews, and ensure quality in production systems
Work with engineering teams to design and architect predictive feedback mechanisms for digital ad networks and add new features to our in-house experimentation engine

What we offer

Health, Dental & Vision Plans
Life Insurance
Long/Short Term Disability
Competitive Pay
401k Matching
Team Member Stock Purchasing Program (TMSPP)
Learning & Development Opportunities
Tuition Reimbursement
Unlimited PTO
Daily Lunch, Snacks & Coffee (in-office only)

Fulltime

Senior Manager, Marketing Science

The Sr. Manager of Marketing Science drives and executes strategic initiatives t...

Location

United States , Bannockburn

Salary:

137000.00 - 215270.00 USD / Year

BioLife Plasma Services

Expiration Date

Until further notice

Requirements

Bachelor’s and/or master’s degree in any area of social science, business, marketing, advertising, or a closely related field
Experience with data analytics from end-to-end, i.e., including ideation, proposal creation, getting stakeholder buy-in, gathering requirements, designing analytics models/solutions, building prototypes, and working with IT/Data Science teams to deploy and scale solutions
7+ years of experience in advanced analytics and statistical modeling in the areas of business performance analysis, forecasting, promotion and media effectiveness and optimization, and consumer behavior
Excellent verbal and written communication and presentation skills. Able to communicate effectively to all levels of the organization, including senior leadership
Bring a growth mindset, curiosity, positivity, intuitive thinking, and a passion for excellence
Extensive experience across many areas of marketing science
MMM, MTA, Loyalty, Website, Surveys, Paid/Owned/Earned Media
Experience with SQL, Python, and R for data analysis and model development
Strong analytical skills with a solid foundation in many of the following statistical and AI/ML methods: regression analysis (continuous, categorical, survival, time-series, and count models, etc.)
classification (CART, SVM, Neural Networks, etc.), clustering (k-means/medoid, hierarchical, self-organizing maps, etc.), and other AI/ML techniques

Job Responsibility

Lead marketing science initiatives in the development and execution of advanced analytics to support marketing strategies and goals
Provide thought leadership on marketing measurement techniques, including the trade-offs between controlled experiments, natural experiments, and multivariate statistical models for different situations
Partner with our media agency to ensure we are maximizing the output of our media mix model (MMM) partner
Deep understanding and experience with creating and managing marketing attribution solutions, i.e., multi-touch attribution (MTA). Ability to build/maintain in-house solutions and/or work with outside partners as necessary
Identify and maintain marketing analytics key performance indicators (KPIs) to track and measure performance
Partner with data scientists, IT, and consultants to develop advanced analytical models and dashboards related to marketing
Ability to perform statistical analyses and tests to quantify the business value of an opportunity
Familiarity with AI/ML applications in marketing
Ensure the accurate and timely delivery of marketing performance reports and insights
Able to translate data into contextualized insights that can be shared across the business

What we offer

Medical, dental, vision insurance
401(k) plan and company match
Short-term and long-term disability coverage
Basic life insurance
Tuition reimbursement program
Paid volunteer time off
Company holidays
Well-being benefits
Up to 80 hours of sick time per calendar year
Accrue up to 120 hours of paid vacation (for new hires)

Fulltime

Manager, Data Science

We’re looking for a Data Science Manager to architect and lead the next generati...

Location

United States , San Francisco

Salary:

187000.00 - 281000.00 USD / Year

GoFundMe

Expiration Date

Until further notice

Requirements

8+ years of experience in data science roles with direct impact on marketing, growth, or revenue optimization
Master’s or Ph.D. in a quantitative field (Statistics, Mathematics, Economics, Computer Science, Physics, Operations Research or related), or equivalent applied experience
Advanced proficiency in Python (NumPy, pandas, scikit-learn) and SQL (window functions, optimization)
Deep experience with experimentation frameworks: A/B testing, causal inference, uplift modeling, and attribution models
Proven success in forecasting, optimization, and budget allocation models for marketing and growth functions
Hands-on with data platforms (Snowflake, Databricks) and BI tools (Looker, Tableau, or equivalent)
Strong data storytelling and executive presentation abilities
Exceptional communication skills with the ability to influence executive stakeholders and translate data into actionable business recommendations
Experience developing senior data scientists and elevating team practices
Demonstrated ability to define a strategic vision for applied data science in marketing, balancing rapid experimentation with long-term infrastructure investments

Job Responsibility

Build a strong AI and data science foundation: Develop scalable pipelines, reusable modeling frameworks, and robust experimentation platforms to support marketing and growth decision-making
Lead end-to-end data science & AI projects: From requirements gathering through feature engineering, modeling, validation, deployment, and monitoring
Establish best practices: Champion standards in model governance, reproducibility, data quality, and system reliability to ensure sustainable and trustworthy AI adoption
Drive marketing science innovation: Apply advanced methods—causal inference, uplift modeling, multi-touch attribution, and media mix modeling—to unlock insights and optimize spend
Advance forecasting & ROI modeling: Deliver budget allocation frameworks and predictive models that guide long-term roadmap planning and marketing efficiency
Partner cross-functionally: Work closely with Marketing, Growth, Product, Engineering, and Finance leaders to align analytics initiatives with revenue impact
Invest in people: Mentor, coach, and elevate a team of high-performing data scientists
foster a culture of technical rigor, curiosity, and applied innovation
Push the frontier of applied AI in marketing: Evaluate emerging generative and predictive AI approaches for audience segmentation, creative optimization, personalization, and campaign efficiency

What we offer

Make an Impact: Be part of a mission-driven organization making a positive difference in millions of lives every year
Innovative Environment: Work with a diverse, passionate, and talented team in a fast-paced, forward-thinking atmosphere
Collaborative Team: Join a fun and collaborative team that works hard and celebrates success together
Competitive Benefits: Enjoy competitive pay and comprehensive healthcare benefits
Holistic Support: Enjoy financial assistance for things like hybrid work, family planning, along with generous parental leave, flexible time-off policies, and mental health and wellness resources to support your overall well-being
Growth Opportunities: Participate in learning, development, and recognition programs to help you thrive and grow
Commitment to DEI: Contribute to diversity, equity, and inclusion through ongoing initiatives and employee resource groups
Community Engagement: Make a difference through our volunteering program

Fulltime

FLEX Senior Director, Partner Campaign Reporting Strategy

As a FLEX Senior Director, Partner Campaign Reporting Strategy, you will play a ...

Location

United States , Bethesda, MD

Salary:

70.67 - 109.09 USD / Hour

Marriott Bonvoy

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Marketing, Business, Economics, Data Science, or a related field
Ten or more years of experience in digital media or other digital business with a strong analytical background and experience
Strong knowledge of media channels, marketing technology, marketing operations, audience segmentation, and customer data strategies
Strong understanding of measurement and analytics across digital marketing and media channels, including reporting frameworks and analytical models
Understanding of core measurement science concepts: experimentation and measurement frameworks (A/B testing, matched market, MMM, etc.), statistical sampling techniques and hypothesis testing, power analysis, synthetic control
Strong technical and analytical foundation, with experience in data-driven decision-making and marketing analytics
Proven success in leading people teams, as well as running sophisticated business processes in a fast-paced environment across multiple internal teams
Proven experience presenting analytical insights and answering all technical/data questions for both technical and non-technical stakeholders
Strong strategic and critical thinking skills
strong bias toward data-based decision-making with the ability to break down complex problems and formulate plans

Job Responsibility

Oversee the strategy and execution of partner-facing measurement and reporting initiatives, including defining key KPIs, designing reporting dashboards, and managing a team of Partner Campaign Reporting specialists
Translate campaign and performance data into clear insights and actionable recommendations for advertising partners
Partner effectively with the Sales & Partnerships team to ensure business needs around measurement and reporting are captured and reflected in standardized measurement and reporting templates
Work cross-functionally with internal teams to document and communicate capabilities, oversee and deliver customized reporting solutions, and prioritize analytics requests
Validate all measurement and campaign performance across Marriott’s advertisers
Collaborate with Data Scientists and Engineers to design and build new analytical models, measurement pipelines, and visualization dashboards and tools
Leverage a data-driven approach to evaluate optimization opportunities on reporting capabilities / tools

What we offer

Coverage for medical, dental, vision, health care flexible spending account, dependent care flexible spending account, life insurance, disability insurance, accident insurance, adoption expense reimbursements, paid parental leave, 401(k) plan, stock purchase plan, discounts at Marriott properties, commuter benefits, employee assistance plan, and childcare discounts

Fulltime

Data Scientist

As a Data Scientist within Jellyfish’s Cloud and Martech practice, you will cont...

Location

Mexico , Mexico City

Salary:

Not provided

Jellyfish

Expiration Date

Until further notice

Requirements

2–4 years of experience in data science, marketing analytics, or a quantitative field
Proficiency in Python (Pandas, Scikit-learn) and SQL is essential
Familiarity with the digital marketing ecosystem (Google Analytics, Meta, Amazon Marketing Cloud, etc.)
Good understanding of causal inference, attribution models, and hypothesis testing
Ability to explain 'the why' behind the data to internal teams and clients
Degree in a quantitative field (Mathematics, Statistics, Computer Science, Economics) or equivalent practical experience
A self-starter mindset with a desire to learn new libraries, automate repetitive tasks, and stay updated on privacy-safe measurement

Job Responsibility

Process and analyze large datasets to identify trends, performance patterns, and opportunities for optimization
Support the development of statistical models, including Geo-based experiments, Media Mix Models (MMM), and Incrementality testing, ensuring accuracy and reliability
Build and maintain predictive models that enhance customer experience and improve revenue outcomes for our clients
Create reproducible and documented analytical workflows using Python and SQL to ensure projects are scalable and efficient
Translate technical findings into clear visualizations and dashboards (Looker, Tableau) that help non-technical stakeholders understand performance
Work alongside Senior Data Scientists and Cloud Engineers to integrate analytical solutions into broader client ecosystems

What we offer

Savings fund: You'll save 5% of your monthly income and Jellyfish will contribute the same amount you save to your savings fund
Custom Work Environment: Work remotely for up to 60% of your days and shape your day between 8am. and 6:30pm with flexible working hours
Growth, Your Way: Accumulate one paid day each month (2 hours per week) for self-development and access to Jellyfish Learn
Health Insurance: We provide a private health insurance policy that includes visual and dental plan coverage

Fulltime

New

Research Manager - Customer Experience Strategy

We’re building a world of health around every individual — shaping a more connec...

Location

United States

Salary:

54300.00 - 159120.00 USD / Year

CVS Health

Expiration Date

March 11, 2026

Requirements

4+ years of experience with formal research methods, statistics, and analyses that are common in marketing research
4+ years of experience designing, planning, analyzing, and delivering successful qualitative and quantitative customer research across a variety of methodologies that meet business partner objectives
3+ years generation of experience creating visualization and reports using BI tools such as Power BI or Tableau
3+ years developing KPIs and turn insights into actions demonstrating where stakeholders should make impacts and monitor improvements
3+ years of creating quality control process and participating and completing UAT testing
Bachelor’s Degree or equivalent (HS Diploma and 4 years of experience) required

Job Responsibility

Strategic Research: Lead and evolve the digital twin research agenda, ensuring simulations and outputs directly address priority business questions. Continuously refine research use cases as data availability, platform capabilities, and strategic needs shift to maximize relevance and organizational impact
Stakeholder Partnership & Needs Discovery: Partner closely with stakeholders across product, operations, and strategy to clarify objectives, constraints, and decision timing. Facilitate conversations that refine research questions, challenge assumptions, set realistic expectations, and ensure the digital twin is applied to the most valuable problems
Research Design & Execution: Execute digital-twin analyses that test hypotheses, compare alternative futures, and generate evidence that supports confident decision‑making across diverse business contexts
Insight Development & Analysis: Translate simulation outputs into meaningful insights by identifying patterns, tradeoffs, risks, and opportunities. Connect findings to strategic implications, moving beyond analysis to articulate relevance, expected impacts, and the “why it matters” behind observed dynamics
Strategic Recommendations & Decision Support: Develop clear, evidence‑based recommendations informed by digital twin insights. Frame decision pathways, scenario implications, and potential outcomes, equipping stakeholders with the guidance needed for planning, resource allocation, and strategic prioritization
Communication & Storytelling: Craft compelling, audience‑appropriate narratives that distill complex insights into clear, action‑oriented messages. Deliver visually strong, confident presentations that build trust in the digital twin’s value while transparently acknowledging uncertainties and limitations
Insight Adoption & Change Enablement: Ensure insights are understood, trusted, and embedded in decision processes by partnering with teams on application, workflow integration, and change management. Monitor adoption, gather feedback, and iterate approaches to strengthen practical impact and organizational confidence
Insights Integration & Cross‑Functional Research Partnership: Collaborate with Customer Insights and other research teams to align methodologies, validate findings, and identify where digital twin research can extend, complement, or stress‑test primary research. Integrate outputs into cohesive, holistic narratives across the broader insights ecosystem

What we offer

Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan
No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching
Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility

Fulltime

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New

Applied Researcher I (AI Foundations)

At Capital One, we are creating trustworthy and reliable AI systems, changing ba...

Location

United States , San Jose; San Francisco; New York; Cambridge; McLean

Salary:

218700.00 - 272300.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research
PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields
PhD focus on NLP or Masters with 5 years of industrial NLP research experience
Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization)
Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens)
Publications in deep learning theory
Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR
PhD focused on topics related to optimizing training of very large deep learning models
Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression
Experience optimizing training for a 10B+ model

Job Responsibility

Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products
Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal insights hidden within huge volumes of data
Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation
Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences
Flex interpersonal skills to translate the complexity of the work into tangible business goals

What we offer

Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
Comprehensive, competitive, and inclusive set of health, financial and other benefits that support total well-being

Fulltime

Senior Data Scientist - Media Optimization

Microsoft Corporation

Location:
United States , Redmond

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
March 04, 2026

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