Data Sciencist MMM

About Us

Straive is a global leader in data analytics and AI operationalization, helping enterprises embed advanced AI and data capabilities into core business workflows to deliver measurable business outcomes and ROI. With a workforce of ~20,000 professionals serving 350+ clients across 30+ markets, Straive combines technical scale with deep domain expertise. A key differentiator is its network of over 6,000 subject matter experts who specialize in managing and enriching complex, unstructured data enabling organizations to build AI systems grounded in accuracy, context, and business relevance.

The company continues to earn recognition from leading industry analysts and was recently named a Leader in AIM’s 2026 Generative AI and Data Engineering PeMa Quadrants. Backed by EQT a purpose-driven global investment organization which was ranked among the world’s leading private equity firms by PEI in 2025 Straive is positioned as a high-value alternative to traditional IT services providers, combining domain-led intelligence with AI execution at scale.

About The Role

We are looking for a seasoned Senior Data Scientist to join our growing Analytics & AI team. In this role, you will own the end-to-end design and delivery of advanced data science solutions — from experimental frameworks and predictive models to marketing measurement systems that drive strategicinvestment decisions. You will work at the intersection of marketing analytics, product science, and data engineering, partnering closely with cross-functional stakeholders to translate complex analyses into clear, impactful business actions.

Key Responsibilities

Marketing Mix Models (MMM) Design, build, and own

to quantify the ROI of marketing channels and guide media budget allocation decisions across

paid, owned, and earned channels.

causal inference frameworks Develop and iterate on

• A/B tests, geo-based holdouts, and quasi-experimental designs — to measure the incremental

impact of campaigns and product changes.

demand forecasting, customer lifetime value (LTV), and propensity models Build and

maintainthat directly influence merchandising, inventory, and retention strategies.

actionable budget recommendations and go-to-market strategies. Partner with Marketing,

Growth, and Finance teams to translate model outputs into

analytics tooling and dashboards Develop self-serve

that surface KPIs, anomaly signals, and model outputs to business stakeholders.

data pipeline architecture Contribute to

feature engineering frameworks, and best practices for scalable model deployment in a cloud

environment. reproducibility, documentation, and production-readiness.Mentor junior data scientists, conduct peer code reviews, and drive standards for

Stay current with research in Bayesian modeling, ML interpretability, and attribution

methodologies — bringing new techniques to bear on business problems.

Skills & Technical Expertise

• Domain Technologies & SkillsMarketing Science MMM / Bayesian MMM, Multi-Touch Attribution (MTA), Causal
• Inference, Media Mix Optimization Machine Learning Time-Series Forecasting, Regression & Classification, XGBoost /LightGBM, Bayesian Inference
• Programming & Tools Python (pandas, statsmodels, scikit-learn), SQL, dbt / Airflow
• Data & Cloud Snowflake / Redshift, Spark / BigQuery, AWS / GCP, MLflow /SageMaker
• Experimentation A/B & Multivariate Testing, Geo-based Holdouts, Difference-in-Differences
• Visualization &, Comms Tableau / Looker, Streamlit, Executive-level storytelling and presentation

Qualifications

→ 6+ years in a data science or quantitative analytics role

→ Hands-on MMM model building (not just consumption) — able to discuss model calibration, prior setting, and interpretation of results

→ Strong e-commerce domain experience — web/app funnel analytics, conversion, retention, or

media analytics

→ Proficiency in Python and SQL; comfort with statistical modeling libraries (statsmodels, scikit-

learn)

→ Experience deploying models into production or semi-automated pipelines in a cloud environment

→ Strong communication skills — ability to present findings and recommendations to C-level

stakeholders

→ Bachelor or Master degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field

Recognition & Achievements

• We have been recognized as a Star Performer in Data & AI Services Specialists - Everest’s North America PEAK Matrix 2025, and as a Leader in AIM’s Pema Quadrant of Agentic AI Service Providers - 2025.
• In Nov 2023, Straive acquired Gramener, an award-winning, design-led data science company, enhancing our data, analytics, and AI capabilities. In June 2025, we acquired SG Analytics, a leading provider of AI-powered insights and contextual analytics services.

For more information, please visit our 🌐Website https://www.straive.com/