Applied Scientist, Marketing Measurement Job at Uber (New York)

Applied Scientist, Marketing Measurement

As an Applied Scientist on the incrementality foundations team within marketing ...

Location

United States , New York; San Francisco

Salary:

161000.00 - 179000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

Bachelor’s degree or higher in a quantitative field such as Statistics, Economics, Mathematics, Computer Science, or a related discipline
2+ years of experience applying statistical and causal inference methods to real-world data in an applied setting
Strong foundation in statistical modeling, hypothesis testing, and experimental design, including A/B testing, incrementality, or quasi-experimental methods
Hands-on experience designing, analyzing, and interpreting experiments, including evaluation of uncertainty, limitations, and tradeoffs
Proficiency in Python or R and SQL for analyzing and modeling large, complex datasets
Experience working with marketing, growth, advertising, or similar business domains where measurement and investment decisions are central
Ability to clearly communicate analytical insights to technical and non-technical stakeholders and collaborate effectively in cross-functional teams
Demonstrated ability to collaborate effectively in cross-functional, fast-moving environments

Job Responsibility

Develop and apply statistical and causal inference models to estimate the incremental impact of marketing across channels, markets, and test designs
Design custom tests & analyze results from complex experiments, including multi-cell, market-level, and longitudinal tests
Contribute to foundational modeling efforts such as hierarchical smoothing, aggregation across tests, and handling of low-signal or sparse data
Assist in research on advanced topics, including learning elasticity with experiments and analyzing event relationships to improve experiment accuracy and interpretation
Partner with Product and Engineering to integrate incrementality models into reporting and decision-making workflows
Research and help establish best practices for experiment design, post-analysis interpretation, and measurement tradeoffs
Collaborate with other Applied Science and Data Science teams to align incrementality outputs with broader measurement and investment frameworks

What we offer

Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
All full-time employees are eligible to participate in a 401(k) plan
Eligible for various benefits

Fulltime

Applied Scientist – Marketing & Personalization

You will join the Demand Data & Analytics team at Lounge by Zalando, the scienti...

Location

Germany , Berlin

Salary:

Not provided

Zalando

Expiration Date

Until further notice

Requirements

Master's degree (or equivalent) in a quantitative field such as Statistics, Data Science, Computer Science, Mathematics, Engineering or Economics
3–5 years of industry experience, ideally in e-commerce or digital marketing, building and shipping recommendation systems, segmentation models, propensity or predictive LTV models
comfortable with both statistical foundations and ML techniques
proficient in Python, SQL and PySpark (Databricks)
understand experimentation and applied causal inference, with hands-on experience in A/B testing and incrementality testing
enjoy communicating with non-technical stakeholders
thrive in an environment where ideas are challenged respectfully, ownership is real, and the team's success matters as much as your own

Job Responsibility

Build and own personalization systems: develop recommendation models (content-based, collaborative filtering, ranking) that directly shape what customers see in emails and push notifications
Drive predictive modeling
lead CLV prediction, churn and other propensity models that turn complex data into actionable strategies for our Marketing teams
Design rigorous experiments: own A/B tests and incrementality experiments to measure the true causal impact of CRM campaigns and personalization initiatives on revenue and long-term customer value
Integrate science into production: partner with Engineering to bring models into production, defining feature stores, data pipelines and monitoring frameworks
Bridge science and business: translate model results and their limitations into clear, structured insights that influence campaign and personalization roadmaps
Elevate the team: actively participate in code reviews, share ideas in a culture of open collaboration, mentor peers and be mentored in return

What we offer

Employee shares program
40% off fashion and beauty products sold and shipped by Zalando, 30% off Zalando Lounge, discounts from external partners
2 paid volunteering days a year
Hybrid working model with up to 60% remote per week, actual practice is up to each team to best support their collaboration
Work from abroad for up to 30 working days a year
27 days of vacation a year to start
Relocation assistance available (subject to prior agreement)
Family services, including counseling and support
Health and wellbeing options (including Gympass)
Mental health support and coaching available

Fulltime

Applied Scientist – Marketing & Personalization

You will join the Demand Data & Analytics team at Lounge by Zalando, the scienti...

Location

Germany , Berlin

Salary:

Not provided

Zalando Sverige

Expiration Date

Until further notice

Requirements

You hold a Master's degree (or equivalent) in a quantitative field such as Statistics, Data Science, Computer Science, Mathematics, Engineering or Economics
You have 3–5 years of industry experience, ideally in e-commerce or digital marketing, building and shipping recommendation systems, segmentation models, propensity or predictive LTV models
You are comfortable with both statistical foundations and ML techniques
Deep learning experience is a genuine plus
You are proficient in Python, SQL and PySpark (Databricks) and hold yourself to high coding standards
You understand experimentation and applied causal inference, with hands-on experience in A/B testing and incrementality testing
You enjoy communicating with non-technical stakeholders by proactively conveying ideas, managing expectations and acting as a bridge between science and business
You thrive in an environment where ideas are challenged respectfully, ownership is real, and the team's success matters as much as your own

Job Responsibility

Build and own personalization systems: develop recommendation models (content-based, collaborative filtering, ranking) that directly shape what customers see in emails and push notifications
Drive predictive modeling
lead CLV prediction, churn and other propensity models that turn complex data into actionable strategies for our Marketing teams
Design rigorous experiments: own A/B tests and incrementality experiments to measure the true causal impact of CRM campaigns and personalization initiatives on revenue and long-term customer value
Integrate science into production: partner with Engineering to bring models into production, defining feature stores, data pipelines and monitoring frameworks
Bridge science and business: translate model results and their limitations into clear, structured insights that influence campaign and personalization roadmaps
Elevate the team: actively participate in code reviews, share ideas in a culture of open collaboration, mentor peers and be mentored in return

What we offer

Employee shares program
40% off fashion and beauty products sold and shipped by Zalando, 30% off Zalando Lounge, discounts from external partners
2 paid volunteering days a year
Hybrid working model with up to 60% remote per week, actual practice is up to each team to best support their collaboration
Work from abroad for up to 30 working days a year
27 days of vacation a year to start
Relocation assistance available (subject to prior agreement)
Family services, including counseling and support
Health and wellbeing options (including Gympass)
Mental health support and coaching available

Fulltime

Applied Scientist

The Marketing Science team acts as the engine behind Zalando's growth, partnerin...

Location

Germany , Berlin

Salary:

Not provided

Zalando Sverige

Expiration Date

Until further notice

Requirements

Proven track record of independently tackling concrete research problems and autonomously finding a path to a simple and fast solution, before iteration
Have worked on Deep Learning or Linear/Mixed Integer Optimization problems
Advanced coding and packaging skills in Python as well as experience with common big data processing and manipulation tools such as PySpark and SQL
MLops experience: Deploying models to production, writing unit/integration tests, and documentation
Experience in supervising more junior colleagues, as well as fostering organizational knowledge sharing
Good communication skills to translate (even complex) analytical / engineering decisions and outcomes to both peers and a broader, non-technical audience

Job Responsibility

Rigorous Experimentation: Establishing the 'ground truth' framework for measuring marketing effectiveness
Advanced Modeling: Building attribution models to value touchpoints and propensity models to refine targeting
Audience Optimization: creating customer uplift models to identify incremental value and building audiences that improve marketing efficiency
Marketing Investment Optimization: Steering external advertising platforms and optimizing marketing spend to align with core business objectives

What we offer

Employee shares program
40% off fashion and beauty products sold and shipped by Zalando, 30% off Zalando Lounge, discounts from external partners
2 paid volunteering days a year
Hybrid working model with 60% (or more) remote per week, actual practice is up to each team to best support their collaboration
Work from abroad for up to 30 working days a year
27 days of vacation a year to start
Relocation assistance available (subject to prior agreement)
Family services, including counseling and support
Health and wellbeing options (including Gympass)
Mental health support and coaching available

Fulltime

Applied Scientist II

We're looking for an Applied Scientist to join our Brand Science team and provid...

Location

United States , New York, New York; San Francisco, California

Salary:

161000.00 - 179000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

Ph.D., M.S. or Bachelors degree in Statistics, Economics, Mathematics, Operations Research, or other quantitative fields
Experience with data analysis and visualization tools, such as Python, R
Experience with SQL on large multi-table data sets
In-depth understanding of and experience with experimental design
Familiarity with causal inference and econometrics techniques to measure incrementality

Job Responsibility

Design measurement and optimization for a large brand marketing budget, using a toolset ranging from experimentation to survey-based methods and causal inference
Work closely with our media, research and marketing teams to develop actionable customer insights and recommendations to guide high level marketing strategy and inform improvements through the course of the campaign lifecycle
Leverage rich internal databases to mine patterns on winning marketing tactics and understand customer behavior to inform marketing briefs
Leverage causal inference models for advanced campaign measurement and optimization
Tackle open-ended questions about marketing effectiveness, interaction effects, incrementality & related topics
Regularly present insights and learnings to executive leadership

What we offer

Bonus program
Equity award
401(k) plan
Various benefits

Fulltime

Senior Applied Scientist

Senior Applied Scientist (all genders) The Demand Data & Analytics, Planning, S...

Location

Germany , Berlin

Salary:

Not provided

Zalando

Expiration Date

Until further notice

Requirements

Master’s degree in a data-driven scientific field such as Statistics, Econometrics, Machine Learning or Mathematics
at least 5 years in a similar analytical context with comparable questions to the area of marketing measurement (MMM, incrementality testing incl. geo-testing & conversion lift studies) with a preference of a Saas/consultancy background
Deep understanding of Causal Inference, Bayesian statistics and experimental design methodologies
Professional experience in Python or R for scientific computing and advanced SQL for data extraction from Redshift
Familiarity with Databricks and Tableau is a plus
Ability to work backwards from customer/business problems to discover new research opportunities and explain technical results to non-experts
Quick Thinking and Proactive Attitude
Ability to easily adapt to change and work independently

Job Responsibility

Innovate on MMM Architecture
Drive the Causal Inference & Incrementality Roadmap
Establish Validation Excellence
Master Large-Scale Data Environments
Bridge Science and Strategy
Act as an Expert of Marketing Data Science

What we offer

Employee shares program
40% off fashion and beauty products sold and shipped by Zalando, 30% off Zalando Lounge, discounts from external partners
2 paid volunteering days a year
Hybrid working model with up to 60% remote per week, actual practice is up to each team to best support their collaboration
Work from abroad for up to 30 working days a year
27 days of vacation a year to start
Relocation assistance available (subject to prior agreement)
Family services, including counseling and support
Health and wellbeing options (including Gympass)
Mental health support and coaching available

Fulltime

Senior Applied Scientist

The Demand Data & Analytics, Planning, Steering, and Performance Measurement Tea...

Location

Germany , Berlin

Salary:

Not provided

Zalando Sverige

Expiration Date

Until further notice

Requirements

Master’s degree in a data-driven scientific field such as Statistics, Econometrics, Machine Learning or Mathematics
at least 5 years in a similar analytical context with comparable questions to the area of marketing measurement (MMM, incrementality testing incl. geo-testing & conversion lift studies) with a preference of a Saas/consultancy background
Deep understanding of Causal Inference, Bayesian statistics and experimental design methodologies
Professional experience in Python or R for scientific computing and advanced SQL for data extraction from Redshift
Ability to work backwards from customer/business problems to discover new research opportunities and explain technical results to non-experts
Quick thinking and proactive attitude, able to adapt to change and work independently

Job Responsibility

Innovate on MMM Architecture: Advance our modeling by developing custom solutions that account for the unique dynamics of a Flash Sales model, implementing time-varying coefficients and stock availability constraints to ensure high-precision forecasting
Drive the Causal Inference & Incrementality Roadmap: Design and lead a comprehensive research plan for Geo-Lift and Incrementality tests to serve as the definitive 'ground truth' for validating and calibrating our Media Mix Models
Establish Validation Excellence: Act as the gatekeeper of scientific integrity by implementing rigorous Out-of-Sample validation, Bayesian calibration, and Multicollinearity diagnostics before models influence multi-million euro budget decisions
Master Large-Scale Data Environments: Leverage the AWS Ecosystem (S3 & Redshift) as well as Databricks to engineer complex features and process high-velocity datasets, turning raw signals into robust inputs for causal modeling
Bridge Science and Strategy: Take accountability for technical relationships with external MMM partners, aggressively challenging methodologies that conflict with Lounge business reality. Collaborate with main stakeholders like Marketing, Analytics and Engineering as well as external partners to translate complex Causal Inference outputs into actionable investment reallocations for Marketing leadership
Act as an Expert of Marketing Data Science: Keep up to date with the newest trends in the area of marketing, analytics and data science and exchange closely with your peers across the business by providing guidance

What we offer

Employee shares program
40% off fashion and beauty products sold and shipped by Zalando, 30% off Zalando Lounge, discounts from external partners
2 paid volunteering days a year
Hybrid working model with up to 60% remote per week, actual practice is up to each team to best support their collaboration
Work from abroad for up to 30 working days a year
27 days of vacation a year to start
Relocation assistance available (subject to prior agreement)
Family services, including counseling and support
Health and wellbeing options (including Gympass)
Mental health support and coaching available

Fulltime

Senior Applied Scientist

The Marketing Science team acts as the engine behind Zalando's growth, partnerin...

Location

Germany , Berlin

Salary:

Not provided

Zalando

Expiration Date

Until further notice

Requirements

A strong academic foundation (Master's or PhD preferred) in Econometrics, Statistics, Machine Learning, or Causal Inference
At least 5 years of practical industry experience specifically within marketing science or measurement
Proven experience building, deploying, and maintaining Marketing Mix Models (MMM)
Deep theoretical understanding of adstock transformations, saturation curves, and Bayesian priors
Deep proficiency in Python, SQL, and PySpark
Commitment to high coding standards, including active participation in code reviews
Self-starter with a proven track record of architecting measurement frameworks in high-ambiguity environments where user-level tracking is limited
Demonstrated experience guiding, upskilling, and mentoring mid-to-junior data scientists
Exceptional communication and negotiation abilities, capable of aligning incentives between Performance Marketing, Brand Marketing, and Finance leaders

Job Responsibility

Take ownership of highly ambiguous, macro-level research questions
Apply advanced Deep Learning, Bayesian time-series, and CausalML methodologies to bridge offsite brand awareness to long-term value add
Champion MLOps best practices
Mentor junior and mid-scientists
Bridge the gap between deeply technical methodologies and commercial strategy

What we offer

27 days of holiday a year to start for full-time employees (+1 day for every calendar year up to 30 days)
2 paid volunteering days a year
Hybrid working model with up to 60% remote per week
Work from abroad for up to 30 working days a year
Employee shares program
40% off fashion and beauty products sold and shipped by Zalando
30% off Lounge by Zalando
Discounts from external partners
Relocation assistance available
Family services, including counseling and support

Fulltime

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Applied Scientist, Marketing Measurement

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