Senior Marketing Mix Modeling Data Scientist Job at Cyclad Sp. z o.o.

Senior Data Scientist, Marketing

We’re hiring a Senior Marketing Data Scientist to partner closely with Harvey’s ...

Location

United States , San Francisco

Salary:

170000.00 - 200000.00 USD / Year

Harvey

Expiration Date

Until further notice

Requirements

6+ years of experience in quantitative roles operating in highly ambiguous environments, ideally as an early data scientist or Marketing analyst within a hyper-growth product company or research organization
Expertise in SQL, with extensive experience extracting large datasets and designing ETL workflows
Expertise working with Salesforce, Marketo and Ads spent data
Strong experience with modern data stack, such as DBT, Looker and Omni
Proficiency in quantitative programming languages, such as Python and R
Experience defining, implementing, and operationalizing Marketing campaign- and channel-level metrics from the ground up
Strong communication skills, with the ability to effectively partner with leaders across Marketing, GTM and Finance
Strategic mindset capable of generating insights that extend beyond traditional statistical significance testing to inform long-term product and business direction

Job Responsibility

Embed deeply with the Marketing organization as a trusted partner, identifying opportunities to improve performance and drive growth
Define, track, and evolve core metrics across marketing and business functions, building scalable dashboards and reporting frameworks that enable data-driven decision-making
Design, implement, and evaluate models (multi-touch attribution, marketing mix modeling, incrementality) for comprehensive Marketing Channel and Campaign performance and contribution
Apply statistical and machine learning techniques to model user behavior, forecast trends, and identify opportunities for growth and optimization
Translate complex analyses into compelling stories, delivering clear recommendations to cross-functional partners and executives
Partner with Marketing, RevOps and GTM System, to co-develop data infrastructure, ensuring robust pipelines, reliable data sources, and scalable systems that power analytics and modeling
Lead cross-functional analytics initiatives that synthesize competitive dynamics, customer feedback, and market trends into actionable opportunities for the business
Champion a data-informed culture by establishing best practices, mentoring peers, and shaping the strategic role of data science at Harvey

What we offer

Offers Equity
Offers Bonus
Comprehensive health, dental and vision coverage
retirement benefits (401k match up to 4%)
flexible PTO

Fulltime

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

Senior Data Scientist, Platform Inference - MarTech DS Measurement

We are seeking an experienced (Contract) Sr. Data Scientist for a 24 month contr...

Location

United States

Salary:

140.00 - 150.00 USD / Hour

Airbnb

Expiration Date

Until further notice

Requirements

5+ years of industry experience in a quantitative analysis role with a Master’s degree in a quantitative field (computer science, statistics etc.), or 2+ years of experience with a Ph.D.
Deep, hands-on experience building and validating Marketing Mix Models in a production setting
Strong working knowledge of causal inference methods, including geo-experimentation and observational approaches
Proficiency in Python and R for statistical modeling, and SQL for data manipulation
Ability to communicate complex concepts clearly to stakeholders at varying technical levels
Proven track record of solving business problems through data science methods

Job Responsibility

Marketing Mix Modeling: Design, build, and maintain MMM models that estimate incremental channel contributions, including prior elicitation, adstock/saturation modeling, validation, and sensitivity analysis
Geo-Based Measurement: Develop and analyze geo-experiments (synthetic control, difference-in-differences) to measure marketing incrementality and validate MMM outputs
Measurement Infrastructure: Build and maintain data pipelines and automated measurement systems ensuring reproducibility and scale
AI-Accelerated Prototyping: Use AI agent workflows to rapidly develop v0 prototypes and spec-driven model implementations — compressing weeks of iteration into days
Productionalization: Refine research prototypes into production-grade systems with proper unit testing, data validation, and code review standards
Insight Communication: Translate complex measurement findings into clear narratives and confident budget recommendations for Marketing and Finance stakeholders

What we offer

bonus
equity
benefits
Employee Travel Credits

Fulltime

Senior Data Scientist

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

Location

Mexico , Mexico City

Salary:

Not provided

Jellyfish

Expiration Date

Until further notice

Requirements

5+ years of experience in data science, analytics, or a quantitative discipline
Strong proficiency in Python and SQL
Experience with data visualization tools such as Looker, Tableau, Matplotlib, or similar
Understanding of the digital marketing ecosystem, including paid media channels, web/app analytics, and measurement frameworks
Experience working with datasets from tools such as Google Analytics, Campaign Manager, Amazon Marketing Cloud, ADH, Meta, or equivalents
Familiarity with MMM, incrementality testing, attribution models, or causal inference techniques
Curiosity and initiative, you look for ways to improve, automate, and scale analytical work
Strong communication and collaboration skills, with the ability to explain complex methods to non-technical stakeholders
Exposure to machine learning concepts (hands-on experience is a plus)

Job Responsibility

Analyse large and complex datasets to uncover trends, diagnose performance issues, and generate actionable recommendations
Apply and explain data science methodologies such as Geo-based experiments, Media Mix Models, Causal Impact Studies, Incrementality testing, and other robust statistical approaches
Develop and implement predictive and causal models that improve media performance, customer experiences, and revenue outcomes
Work with internal partners and external platforms to advance our capabilities in incrementality testing, media modelling, and privacy-safe measurement techniques
Build reproducible analytical workflows, document processes clearly, and create repeatable frameworks that scale across clients and markets
Translate model outputs into compelling narratives through visualizations, dashboards, and structured readouts
Collaborate closely with Cloud Engineers, Analysts, and Martech specialists to ensure solutions integrate effectively into 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

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 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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Senior Marketing Mix Modeling Data Scientist

Job Description

Job Responsibility

Requirements

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