Senior Data Scientist (Europe, remote) - Sherpany

Job Description :

As Senior Data Scientist, you will own end-to-end data workflows and build ML pipelines for analytics and predictive modeling. You will partner with stakeholders to refine questions, apply advanced statistical and ML techniques and communicate insights that inspire action

What you'll do :

build and own end-to-end data-driven workflows for product and business growth

produce concise, high-impact analyses of product usage patterns on demand

apply advanced statistical and ML models to retention curves, user lifecycle metrics, and product usage data

identify meaningful user segments and uncover hidden behavioral patterns that impact engagement and churn

partner with product, engineering and business teams to define questions and guide decisions

advise on experimentation design (sample sizes, statistical significance) to validate retention hypotheses and feature impact

translate insights into actionable recommendations that drive measurable impact

create impactful reports, dashboards and visualizations that highlight what matters most

What you bring :

advanced modeling expertise (statistical methods, ML algorithms)

strong SQL and Python skills

solid understanding of data engineering principles and pipeline design

hands-on experience with major Python libraries such as pandas, numpy, matplotlib, seaborn for data manipulation and visualization

experience with retention analytics, user segmentation and lifecycle modeling is a strong plus

experience with DBT, Databricks and visualization tools (Tableau, Power BI) is a plus

excellent communication and storytelling with data

ability to work autonomously and influence decisions

ability to translate retention insights into practical product improvements (e.g., onboarding flows, engagement strategies)

#LI-Sherpany

Our company is committed to fostering a diverse and inclusive workforce where all individuals are respected and valued. We are an equal opportunity employer and make all employment decisions without regard to race, color, religion, sex, gender identity, sexual orientation, age, national origin, disability, protected veteran status, or any other protected characteristic. We encourage applications from candidates of all backgrounds and are dedicated to building teams that reflect the diversity of our communities.