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

Senior Data Scientist –GCP Focus (Marketing Analytics)

At Valtech, you’ll find an environment designed for continuous learning, meaning...

Location

Brazil

Salary:

Not provided

Valtech

Expiration Date

Until further notice

Requirements

Hands-on experience with GCP services used in production analytics environments, including BigQuery, Vertex AI, Looker, Pub/Sub, Cloud Functions, Cloud Storage, and Cloud Run (or equivalent deployment/runtime patterns)
Proven experience building marketing mix models, attribution models, or other statistical/ML models using marketing or media data (e.g., paid media, campaign performance, digital channels, or customer journeys)
Proven industry experience developing predictive or inferential statistical models or a Master’s/PhD in a quantitative field such as Engineering, Mathematics, Statistics, Computer Science, or related disciplines
Deep understanding of causal inference, time-series analysis, or econometric techniques as applied to marketing analytics
Experience applying statistical and machine learning libraries effectively to real-world business and marketing problems
Proficiency in SQL, Python, and/or R, with the ability to execute end-to-end data ingestion through insight generation
Experience defining and reporting model performance and business impact metrics (e.g., precision/recall, MAPE, ROI, incrementality), including documented backtesting
Experience delivering production model artifacts such as model cards, registry updates, confidence intervals, and guardrail-aware recommendations
4+ years of experience in similar data science, marketing analytics, or advanced analytics roles
Advanced English proficiency

Job Responsibility

Contribute to production readiness through monitoring
incident response support
and operational runbooks to meet agreed service levels
Conduct root-cause analysis of production issues that lead to adverse model outputs
Design
build
and optimize marketing mix models (MMM)
attribution models
and other econometric or causal models using marketing data
Select and implement appropriate machine learning models for time-series forecasting

What we offer

Flexibility
with remote and hybrid work options (country-dependent)
Career advancement
with international mobility and professional development programs
Learning and development
with access to cutting-edge tools
training and industry experts

Fulltime

Senior Data Scientist- GCP Focus (Marketing Analytics)

Ideal candidates will bring a strong quantitative background and a disciplined a...

Location

Colombia

Salary:

Not provided

Valtech

Expiration Date

Until further notice

Requirements

Hands-on experience with GCP services used in production analytics environments, including BigQuery, Vertex AI, Looker, Pub/Sub, Cloud Functions, Cloud Storage, and Cloud Run (or equivalent deployment/runtime patterns)
Proven experience building marketing mix models, attribution models, or other statistical/ML models using marketing or media data (e.g., paid media, campaign performance, digital channels, or customer journeys)
Proven industry experience developing predictive or inferential statistical models or a Master’s/PhD in a quantitative field such as Engineering, Mathematics, Statistics, Computer Science, or related disciplines
Deep understanding of causal inference, time-series analysis, or econometric techniques as applied to marketing analytics
Experience applying statistical and machine learning libraries effectively to real-world business and marketing problems
Proficiency in SQL, Python, and/or R, with the ability to execute end-to-end data ingestion through insight generation
Experience defining and reporting model performance and business impact metrics (e.g., precision/recall, MAPE, ROI, incrementality), including documented backtesting
Experience delivering production model artifacts such as model cards, registry updates, confidence intervals, and guardrail-aware recommendations
4+ years of experience in similar data science, marketing analytics, or advanced analytics roles
Advanced English proficiency

Job Responsibility

Contribute to production readiness through monitoring, incident response support, and operational runbooks to meet agreed service levels
Conduct root-cause analysis of production issues that lead to adverse model outputs
Design, build, and optimize marketing mix models (MMM), attribution models, and other econometric or causal models using marketing data
Select and implement appropriate machine learning models for time-series forecasting, supply-chain optimization, and marketing performance use cases
Contribute well-tested, maintainable code to existing object-oriented Python codebases
Analyze raw, large-scale datasets to deliver meaningful impact for enterprise clients while maintaining scientific rigor
Engineer data pipelines and data products that enable stakeholders to make informed, data-driven marketing and business decisions
Communicate analytical insights in a clear, intuitive, and visually compelling manner for marketing, product, and executive audiences
Create highly visual and interactive dashboards using Tableau, Power BI, Looker, or custom web applications
Conduct deep-dive analyses and design KPIs to measure marketing effectiveness, ROI, incrementality, and business growth

What we offer

Flexibility, with remote and hybrid work options (country-dependent)
Career advancement, with international mobility and professional development programs
Learning and development, with access to cutting-edge tools, training and industry experts

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

Senior Product Manager, Recommendations

We are looking for a Senior Product Manager to own and drive critical product ar...

Location

United States , San Jose

Salary:

195000.00 - 303000.00 USD / Year

Roku

Expiration Date

Until further notice

Requirements

7+ years of product management experience, ideally in recommendations, personalization, search/discovery, or ML/AI-driven product areas
Strong analytical rigor: comfort with experiment design, A/B testing, statistical significance, and metric frameworks. Ability to define, defend, and prevent drift on KPIs
Proven ownership and bias to action: track record of driving complex, ambiguous initiatives end-to-end — from problem framing through strategy to shipped outcomes. You escalate early, propose alternatives, and don't let work stall
Technical depth: experience working closely with ML engineers and data scientists on ranking, optimization, and signal-based systems. Ability to engage meaningfully in technical discussions about model performance, feature engineering, and system architecture
Excellent cross-functional leadership: demonstrated ability to influence and drive alignment across engineering, data science, design, business, and content teams without direct authority
Outcome-oriented experimentation mindset: experience designing and running experiments that drive real product and business decisions
Clear, concise communicator: strong written and verbal skills
ability to present strategy, trade-offs, and recommendations to executive leadership
Experience in streaming, media, entertainment, or large-scale content platforms
Familiarity with recommendation systems, content ranking, collaborative filtering, or personalization at scale (100M+ users)

Job Responsibility

Define and own the product strategy and roadmap for your area within Platform Recommendations, with a focus on maximizing user engagement and business value across all monetization models
Identify unique problem spaces across surfaces and develop strategic recommendations backed by data and analysis
Drive material outcomes from strategic themes: Drive material outcomes from strategic themes through deep, independent analysis, quantified impact, coherent recommendations, and leadership-ready proposals
Articulate customer and business problems clearly: Articulate customer and business problems clearly, evaluate options and trade-offs, and develop sequenced roadmaps that move the ball forward strategically
Lead KPI definition and defense: propose clear primary decision metrics and supporting metrics for every initiative, especially in ambiguous domains where north-star KPIs are not easily defined
Own experiment design end-to-end: define test contracts and hold the line on experimental rigor
Drive experiments to decisions: ensure every test is tied to a concrete decision or roadmap change, and prevent KPI drift by proactively aligning stakeholders
Move fast and demonstrate extreme ownership of outcomes: actively track, unblock, and push for value, and propose concrete options when faced with trade-offs
Maintain 100% lockstep with partners: Maintain 100% lockstep with partners in ML Research and Engineering, Merchandising, and Analytics with detail orientation and ensure alignment on strategy, outcomes and requirements/timelines
Communicate with clarity and conciseness: Communicate with clarity and conciseness, with high signal-to-noise in written documents, messaging, presentations and verbal discussions

What we offer

Health insurance
Equity awards
Life insurance
Disability benefits
Parental leave
Wellness benefits
Paid time off
Global access to mental health and financial wellness support and resources
Healthcare (medical, dental, and vision)
Life, accident, disability, commuter, and retirement options (401(k)/pension)

Fulltime

Senior Product Manager, Recommendations

Roku is changing how the world watches TV. Roku is the #1 TV streaming platform ...

Location

United States , New York

Salary:

195000.00 - 303000.00 USD / Year

Roku

Expiration Date

Until further notice

Requirements

7+ years of product management experience, ideally in recommendations, personalization, search/discovery, or ML/AI-driven product areas
Strong analytical rigor: comfort with experiment design, A/B testing, statistical significance, and metric frameworks. Ability to define, defend, and prevent drift on KPIs
Proven ownership and bias to action: track record of driving complex, ambiguous initiatives end-to-end — from problem framing through strategy to shipped outcomes. You escalate early, propose alternatives, and don't let work stall
Technical depth: experience working closely with ML engineers and data scientists on ranking, optimization, and signal-based systems. Ability to engage meaningfully in technical discussions about model performance, feature engineering, and system architecture
Excellent cross-functional leadership: demonstrated ability to influence and drive alignment across engineering, data science, design, business, and content teams without direct authority
Outcome-oriented experimentation mindset: experience designing and running experiments that drive real product and business decisions
Clear, concise communicator: strong written and verbal skills
ability to present strategy, trade-offs, and recommendations to executive leadership
Experience in streaming, media, entertainment, or large-scale content platforms
Familiarity with recommendation systems, content ranking, collaborative filtering, or personalization at scale (100M+ users)

Job Responsibility

Define and own the product strategy and roadmap for your area within Platform Recommendations, with a focus on maximizing user engagement and business value across all monetization models
Identify unique problem spaces across surfaces and develop strategic recommendations backed by data and analysis
Drive material outcomes from strategic themes through deep, independent analysis, quantified impact, coherent recommendations, and leadership-ready proposals
Articulate customer and business problems clearly, evaluate options and trade-offs, and develop sequenced roadmaps that move the ball forward strategically
Lead KPI definition and defense: propose clear primary decision metrics and supporting metrics for every initiative, especially in ambiguous domains where north-star KPIs are not easily defined
Own experiment design end-to-end: define test contracts and hold the line on experimental rigor
Drive experiments to decisions: ensure every test is tied to a concrete decision or roadmap change, and prevent KPI drift by proactively aligning stakeholders
Move fast and demonstrate extreme ownership of outcomes: actively track, unblock, and push for value, and propose concrete options when faced with trade-offs
Maintain 100% lockstep with partners in ML Research and Engineering, Merchandising, and Analytics with detail orientation and ensure alignment on strategy, outcomes and requirements/timelines
Communicate with clarity and conciseness, with high signal-to-noise in written documents, messaging, presentations and verbal discussions

What we offer

health insurance
equity awards
life insurance
disability benefits
parental leave
wellness benefits
paid time off
global access to mental health and financial wellness support and resources
healthcare (medical, dental, and vision)
life, accident, disability, commuter, and retirement options (401(k)/pension)

Fulltime

Senior Product Manager, Recommendations

We are looking for a Senior Product Manager to own and drive critical product ar...

Location

United States , Santa Monica

Salary:

195000.00 - 303000.00 USD / Year

Roku

Expiration Date

Until further notice

Requirements

7+ years of product management experience, ideally in recommendations, personalization, search/discovery, or ML/AI-driven product areas
Strong analytical rigor: comfort with experiment design, A/B testing, statistical significance, and metric frameworks. Ability to define, defend, and prevent drift on KPIs
Proven ownership and bias to action: track record of driving complex, ambiguous initiatives end-to-end — from problem framing through strategy to shipped outcomes. You escalate early, propose alternatives, and don't let work stall
Technical depth: experience working closely with ML engineers and data scientists on ranking, optimization, and signal-based systems. Ability to engage meaningfully in technical discussions about model performance, feature engineering, and system architecture
Excellent cross-functional leadership: demonstrated ability to influence and drive alignment across engineering, data science, design, business, and content teams without direct authority
Outcome-oriented experimentation mindset: experience designing and running experiments that drive real product and business decisions
Clear, concise communicator: strong written and verbal skills
ability to present strategy, trade-offs, and recommendations to executive leadership
Experience in streaming, media, entertainment, or large-scale content platforms
Familiarity with recommendation systems, content ranking, collaborative filtering, or personalization at scale (100M+ users)

Job Responsibility

Define and own the product strategy and roadmap for your area within Platform Recommendations, with a focus on maximizing user engagement and business value across all monetization models
Identify unique problem spaces across surfaces and develop strategic recommendations backed by data and analysis
Drive material outcomes from strategic themes: Drive material outcomes from strategic themes through deep, independent analysis, quantified impact, coherent recommendations, and leadership-ready proposals
Articulate customer and business problems clearly: Articulate customer and business problems clearly, evaluate options and trade-offs, and develop sequenced roadmaps that move the ball forward strategically
Lead KPI definition and defense: propose clear primary decision metrics and supporting metrics for every initiative, especially in ambiguous domains where north-star KPIs are not easily defined
Own experiment design end-to-end: define test contracts and hold the line on experimental rigor
Drive experiments to decisions: ensure every test is tied to a concrete decision or roadmap change, and prevent KPI drift by proactively aligning stakeholders
Move fast and demonstrate extreme ownership of outcomes: actively track, unblock, and push for value, and propose concrete options when faced with trade-offs
Maintain 100% lockstep with partners: Maintain 100% lockstep with partners in ML Research and Engineering, Merchandising, and Analytics with detail orientation and ensure alignment on strategy, outcomes and requirements/timelines
Communicate with clarity and conciseness: Communicate with clarity and conciseness, with high signal-to-noise in written documents, messaging, presentations and verbal discussions

What we offer

health insurance
equity awards
life insurance
disability benefits
parental leave
wellness benefits
paid time off

Fulltime

Senior Digital Twin Software Engineer

The ARC Robotics Strategy & Virtual Systems team is a dynamic, fast-paced group ...

Location

United States , Austin; Mountain View; Warren

Salary:

Not provided

General Motors

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Computer Engineering, or a related field
5+ years of experience developing full-stack software applications in multiple programming languages such as Java, C#, C++, Python, JavaScript/TypeScript with modern frameworks (e.g., React, Angular)
Experience with systems integration and/or interoperating with Digital Twin or IoT platforms
Understanding of code quality analysis results and remediation mechanisms
Strong oral and written communication skills, with the ability to work independently and collaboratively across teams
Experience designing or consuming APIs and platform components
familiarity with reusable SDKs/libraries and REST/gRPC/WebSocket services
Solid version control and testing practices (e.g., Git, unit/integration testing, build automation, CI/CD)

Job Responsibility

Design and implement software for robotic simulation environments and automation frameworks
Build and integrate 3D modules (e.g., rendering, simulation, physics, spatial indexing) with platform services via well-designed APIs and data contracts
Work across the stack using modern front-end frameworks (e.g., React or similar), TypeScript/JavaScript, and service-oriented backends (e.g., Node.js, Python, Java, or C#)
Build and iterate on web-based playback and visualization tools that rely on WebRTC, WebSockets, and streaming media pipelines to deliver simulation replays
Work with databases and storage systems to organize simulation outputs, logs, and artifacts for fast retrieval and inspection
Collaborate with robotics engineers, data scientists, and system architects to integrate software into autonomous platforms
Optimize code for efficiency, scalability, and reliability in real-time systems
Conduct testing, debugging, and validation of software components
Document software designs, processes, and best practices for maintainability and knowledge sharing
Serve as a Subject Matter Expert (SME) for at least one platform or application component

What we offer

Relocation benefits

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

Select Country

Senior Data Scientist - Media Optimization

Job Description

Job Responsibility

Requirements

Nice to have

Looking for more opportunities?