Data Scientist, Media Jobs

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

Principal Data Scientist

The Principal Data Scientist – Media Attribution will lead the development of cu...

Location

United States , Bellevue

Salary:

127400.00 - 229800.00 USD / Year

T-Mobile

Expiration Date

Until further notice

Requirements

Proven experience in marketing and media analytics, with a focus on attribution modeling, causal inference, and media mix optimization
Strong background in machine learning, econometrics, and statistical modeling with applications in marketing measurement
Expertise in Python, R, SQL, and cloud platforms (AWS, GCP, or Azure) for scalable modeling and data processing
Experience with experimental design and incrementality testing in digital and traditional media channels
Ability to communicate complex data science concepts to both technical and non-technical stakeholders, influencing business decisions
Ph.D. or Master’s degree in a quantitative field (e.g., Statistics, Economics, Computer Science, Applied Mathematics)

Job Responsibility

Lead the development and refinement of attribution models (MTA, MMM) to quantify the impact of media investments across channels (digital, social, TV, search, etc.)
Advance causal inference techniques to improve media measurement, including uplift modeling, propensity scoring, and Bayesian methods
Develop forecasting models to predict marketing performance, budget allocation impacts, and long-term customer acquisition trends
Enhance ad testing methodologies, including A/B testing, synthetic control experiments, and incrementality testing, to measure media effectiveness accurately
Collaborate with marketing, finance, and analytics teams to translate model insights into business strategies that drive ROI improvements
Optimize media spend through AI-driven decisioning, leveraging reinforcement learning, Bayesian optimization, and econometric modeling
Stay at the forefront of AI & ML innovations in marketing measurement, driving technical advancements and thought leadership within the team
Work closely with data engineers to scale and automate model deployment, integrating ML solutions into production environments

What we offer

medical, dental and vision insurance
flexible spending account
401(k)
employee stock grants
employee stock purchase plan
paid time off
up to 12 paid holidays
paid parental and family leave
family building benefits
back-up care

Fulltime

New

Staff Data Scientist - Performance Marketing

We’re looking for a Staff Data Scientist to serve as the senior individual contr...

Location

United States , San Francisco

Salary:

166500.00 - 249500.00 USD / Year

GoFundMe

Expiration Date

Until further notice

Requirements

8+ years of experience in data science or applied ML, with at least 5 years focused on paid marketing or growth analytics
Master’s or Ph.D. in a quantitative discipline (Statistics, Economics, Computer Science, Mathematics, or related field) or equivalent applied experience
Advanced proficiency in Python (NumPy, pandas, scikit-learn) and SQL (window functions, performance tuning)
Hands-on experience designing, analyzing, and interpreting A/B tests and experimentation frameworks
Expertise in statistical inference, causal modeling (regression, propensity scoring), uplift modeling, and marketing attribution models (multi-touch attribution, Markov chains)
Proven track record in time-series forecasting and budget allocation models
Familiarity with ETL frameworks, data warehousing, and APIs
Data visualization skills using Looker or equivalent BI tools
strong storytelling and presentation abilities
Exceptional communication skills: able to influence non-technical stakeholders and present complex analyses to executive audiences

Job Responsibility

Lead end-to-end marketing data science initiatives: Define analytical strategy, develop models, and deliver insights that drive measurable impact on user acquisition, retention and efficiency
Develop advanced attribution and causal frameworks: Build and/or evolve models including multi-touch attribution, media mix modeling, causal inference, and uplift modeling to quantify incremental impact
Advance predictive and prescriptive modeling: Design time-series, optimization, and budget allocation models to forecast ROI and guide marketing investment decisions
Operationalize AI in marketing workflows: Research and implement AI/ML systems for targeting, bidding, and creative optimization by leveraging predictive and generative methods to improve campaign efficiency
Enhance experimentation frameworks: Partner with engineering to expand statistical testing infrastructure, ensuring scalable, accurate causal measurement across campaigns and channels
Act as a technical thought leader: Shape best practices in feature engineering, model versioning, validation, and deployment for marketing science applications
Explore adaptive experimentation: Research, apply and refine multi-arm and contextual bandit algorithms to optimize budget allocation and message selection in near real-time
Collaborate cross-functionally: Partner with Marketing, Growth, and Finance teams to interpret insights, influence strategy, and align data science work with business goals
Mentor and elevate: Guide other data scientists technically through design reviews, model audits, and shared learning sessions, helping scale best practices across the org

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
equity + benefits

Fulltime

New

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

New

Data & Marketing Consultant Intern

Join our New York team (in our office in Brooklyn, Williamsburg) as a Data & Mar...

Location

United States , New York

Salary:

Not provided

Numberly

Expiration Date

Until further notice

Requirements

Currently pursuing a degree: enrolled in a Bachelor’s or Master’s program
Interest in marketing and media: you are sensitive to the impact of original and relevant marketing and media ecosystems
Analytical mindset: you have a keen interest in using data to create meaningful insights and facilitate the transformation of our clients
Problem solver: you excel at listening, contextualizing issues, and developing optimized solutions to address them
Excellent communication skills: strong verbal and written communication abilities
Client-focused mindset: a deep commitment to understanding and prioritizing client needs by promoting and facilitating concrete and operational execution
Fluency in English, an extra language would be a plus

Job Responsibility

Client collaboration: work closely with clients to identify and address their data and marketing challenges using appropriate methodologies (competitive analyses, benchmarks, strategy audit, data, infra)
Identify business challenges: participate in identifying business challenges (and not just the symptoms) through brainstorms, problem solving methods, decision trees based on business, marketing and data hypotheses, as well as design thinking
Data-driven insights: utilize data and marketing expertise to develop actionable insights and optimize client strategies, leveraging the knowledge and tools of our 500 marketing technologists
Cross-functional teamwork: coordinate with a diverse team of experts, including data analysts, data scientists, CRM specialists, media traders, and developers, to deliver comprehensive solutions across sectors such as E-Commerce, Pharma, Retail, Consumer Goods, Luxury, and Financial Services
Knowledge documentation: contribute to the documentation of methodologies, best practices, and market analyses to continually enhance our collective expertise

What we offer

Take part in CSR initiatives with 1000mercis impacts
Ongoing learning, plus a fast and powerful onboarding
Bank holidays
Home days

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

New

Technical Writer

PaxeraHealth, a medical imaging and AI software development industry leader work...

Location

Egypt , Cairo

Salary:

Not provided

PaxeraHealth

Expiration Date

Until further notice

Requirements

Bachelor's degree or equivalent in English, Technical Writing, Journalism, Marketing/Communications, or related field
Two years of experience as a Technical Writer responsible for writing, publishing, and managing help content
Experience synthesizing feedback and input from multiple stakeholders
Excellent written and verbal communication skills with a strong attention to detail
Proven experience prioritizing writing projects and activities in a time-constrained setting with simultaneous deadlines
Must be proficient in document development and management software skills including Microsoft Office, Adobe, HTML
Must have demonstrated analytical and problem-solving skills and have the ability to effectively and independently manage a large workload with minimal supervision
Ability to navigate ambiguity and driving toward clarity and solutions

Job Responsibility

Understands and accurately translates technical information for a general audience and various healthcare, clinical, and medical imaging application user personas
Plans, develops, organizes, writes, proofreads, and edits written materials such as application guides, system manuals, product release notes, product integration guides, conformance statements, specifications, and other product and operational documentation
Produces dynamic, electronic documentation in addition to hard copy manuals
Maintains a comprehensive library of technical terminology and documentation
Analyzes and formats documentation to maintain continuity of content style
Manages timely updates and revisions to technical literature
Determines the needs of end users of technical documentation
Uses photographs, drawings, diagrams, animation, and charts that increase users understanding of content
Creates scripts for video tutorials
Creates comprehensive user assistance documentation, including how-to sections, FAQs, and Help sections

Fulltime

New

R&D Scientist

The role requires familiarity and some experience with basic lab techniques. Thi...

Location

United Kingdom , Slough

Salary:

17.96 GBP / Hour

SRG

Expiration Date

Until further notice

Requirements

Any life science/biotechnology/bioprocessing/biochemistry/chemical engineering
Media and/or buffer preparation
Aseptic technique

Job Responsibility

Perform experimental work to a high standard, analyse and report data
Collaborate with senior scientists and other team members to deliver in a fast paced and collaborative environment
Liese with other members of the Upstream Process Development team
Engage in routine lab housekeeping such as stock taking, ordering, administrative tasks
Undertake training as required for the role
Other duties as assigned

Fulltime

Data Scientist, Media

Primacy

Location:
United States

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
December 11, 2025

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