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As a Lead Data Science you will be able to contribuite and build on one of our most interesting projects among your tasks you will find
Design execute and analyze A/B and multivariate experiments to drive data-informed decision-making across products and features.
Develop scalable and statistically sound experimentation frameworks ensuring proper randomization metric definition and power analysis.
Collaborate with product managers engineers and analysts to embed experimentation into the product development lifecycle.
Build reusable tools and libraries for experiment tracking analysis and reporting.
Ensure validity of experiment results through rigorous diagnostic checks bias correction and guardrail metrics.
Drive a culture of experimentation across the organization by establishing best practices documentation and training programs.
Stay current on causal inference uplift modeling and experimentation methodologies to continuously refine our testing capabilities.
Qualifications :
Strong foundation in statistical techniques including hypothesis testing confidence intervals regression modeling and causal inference.
Expertise in designing and analyzing controlled experiments (A/B multivariate geo-testing etc.) at scale.
Proven programming skills in Python or R for data manipulation analysis and visualization.
Experience working with experiment platforms and telemetry/data instrumentation pipelines.
Proficiency with SQL and relational databases for pulling and analyzing experiment data.
Familiarity with business metrics and KPIs for product growth or marketing experiments.
Experience implementing uplift modeling CUPED and other variance-reduction or bias-correction techniques.
Exposure to Bayesian experimentation frameworks (e.g. using PyMC Stan or similar) is a strong plus.
Additional Information :
Flexible working options to help you strike the right balance.
All the equipment you need to harness your talent.
After office events football tennis and game nights (on headquarters).
Learning opportunities:
AWS Certifications (we are AWS Partners).
Study plans courses and other certifications.
English Lessons.
Mentoring and Development opportunities to shape your career path.
Great location and even greater teammates!
Remote Work :
Yes
Employment Type :
Full-time
Remote