Cientista de Dados Pleno enhancing CRM performance through data analysis and predictive modeling. Collaborative role directly impacting client success with actionable insights.
About the role
- Growth Data Scientist employed at Mercari to drive ML initiatives for business impact and user engagement.
Responsibilities
- Drive ML-Powered Interventions: Design, build, and productionize models that predict user behavior (e.g., conversion, churn, and reactivation) to estimate incentive elasticity and incremental business impact.
- Innovate Personalization Systems: Architect the shift toward dynamic incentive control, intelligent exposure, and highly personalized targeting at scale.
- Own Business Outcomes: Take direct responsibility for marketing and incentive ROI, incremental GMV, and LTV uplift, utilizing model performance as a powerful lever for business success rather than just an end goal.
- End-to-End Experimentation: Actively drive the ML lifecycle from experiment design and KPI definition to post-launch analysis and continuous iteration.
- Cross-Functional Partnership: Collaborate tightly with Growth, Marketing, and Product teams to translate complex growth opportunities into scalable, ML-driven decision frameworks.
- Build Reusable Growth ML Foundations: Develop shared frameworks for uplift modeling, elasticity estimation, and intervention optimization to accelerate the rollout of future growth initiatives.
Requirements
- Strong interest in growth, marketing, and direct business impact, with a willingness to explicitly own business impact.
- Proven experience applying machine learning to real, user-facing decisions and production environments.
- Proficiency in Python and SQL; experience with ML frameworks (e.g., scikit-learn, XGBoost, LightGBM, TensorFlow, or PyTorch)
- Experience with large-scale data processing tools (e.g., BigQuery, Spark, or equivalent)
- Solid understanding of statistics, experimental design, and causal reasoning
- Familiarity with ML deployment and monitoring in production systems
- Japanese: Preferred
- English: Required
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
Workday Data Lead for a hybrid 6 month Outside IR35 contract at Benefact Group in Gloucester. Responsible for leading data conversion and ensuring compliance during Workday ERP implementation.
Data Scientist / AI Engineer at lemlist, focused on deploying impactful AI use cases. Collaborate with product and engineering teams to drive business results through AI.
Data Scientist within Growth & Marketing at Polarsteps analyzing data to shape growth strategies and influence business decisions.
Data Scientist working within Polarsteps' growth team, driving experimentation and data - backed decisions. Collaborating with product and marketing for scalable insights and recommendations.
Manager on Data Science team at Anthropic leading analytical strategies for B2B growth. Collaborating across teams to drive insights and metrics for a consumption - based AI platform.
Head of Data at Enteractive, shaping data strategy and driving insights for iGaming player reactivation. Building a data function to foster data - driven culture and decision - making.
Senior Data Scientist for the CDC analyzing data and building forecasting models using Python and SQL. Collaboration with engineering and data teams for effective demand forecasting.
Analista de Produto atuando na gestão do portfólio de produtos de seguros na Youse Seguros. Contribuindo para a evolução das ofertas e experiência do cliente com foco em resultados.
Data Scientist driving detection and mitigation of fraud across audio verticals on our platform. Collaborating with data scientists and ML engineers to ensure fair engagement and accuracy for users and creators.