Growth Data Scientist employed at Mercari to drive ML initiatives for business impact and user engagement.
About the role
- Lead Data Scientist spearheading data science initiatives for media networks. Developing retention models to minimize churn and drive subscription growth through strategic collaboration.
Responsibilities
- Leverage structured and unstructured data from various media and entertainment sources to prepare datasets for advanced analytics and modeling.
- Develop and deliver impactful analytical tools and solutions leveraging statistical modeling, machine learning, and data science to uncover business insights and support strategic decision-making.
- Design and apply advanced predictive and machine learning models; including clustering (K-means, hierarchical), classification (KNN, Naive Bayes, CART), time series forecasting, logistic regression, and econometric models to optimize pricing strategies, assess price elasticity, segment customers, and enhance revenue across channels.
- Leverage generative AI and large language models (LLMs) to develop and implement personalized content and messaging strategies across diverse media channels, enhancing audience engagement and campaign effectiveness.
- Assess and validate statistical models using appropriate performance metrics to ensure precision and accuracy such as accuracy, sensitivity, specificity, ROC, AUC.
- Analyze consumer behavior trends and shifts across various digital touchpoints; perform cross-channel attribution analysis to inform targeted retention strategies.
- Monitor and analyze key engagement metrics to assess the performance of subscriber onboarding programs and their impact on long-term retention.
- Interpret complex analytical insights and translate them into clear, actionable business strategies that improve business outcomes.
- Support scalable deployment of data products by following best practices in CI/CD processes and contribute to agile project management through tools like Jira for sprint planning, tracking, and team coordination.
- Collaborate cross-functionally with technical and non-technical stakeholders to gather requirements, define project scope, and lead data science initiatives, demonstrating strong communication, leadership, and team-building skills.
Requirements
- Master’s or PhD in data Science, statistics, computer science, or related quantitative field.
- 5+ years’ experience in data science roles with demonstrated impact on retention, engagement, or churn reduction.
- Advanced skills in Python/R, SQL, and experience with ML libraries (scikit-learn, XGBoost, TensorFlow/PyTorch).
- Strong background in building predictive churn models, CLV, causal inference and uplift modeling.
- Leverage cloud platforms (e.g., AWS, Azure) and big data tools (e.g., Spark, Hive, Databricks), staying current with evolving technologies and Databricks’ architecture for scalable data science workflows.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Lead Data Scientist guiding AI innovation for Humana, developing AI systems to improve healthcare outcomes. Collaborating with teams to create interpretable and reliable AI solutions.
Data Scientist at Capital One creating machine learning models for customer management. Collaborating with teams to deliver insights from large datasets to enhance customer decisions.
Lead analytics strategy for Mastercard's digital products, driving business growth and data - driven decisions by collaborating with global teams and stakeholders.
Lead Data activities for North and South America at Air Liquide. Manage a team responsible for data strategies, conversions, and integrations in global ERP programs.
Data Scientist role at Novartis supporting biopharmaceutical development through data and statistical sciences. Aiming to optimize development processes with data flow management and insights.
HR Data Scientist advancing KLA’s HR Analytics capability through AI and predictive insights. Collaborating with HR partners to provide data - driven decision - making support.
Data Science Specialist at Nasdaq analyzing financial crime data for insights. Collaborating with teams to create impactful reports and presentations for fraud detection solutions.
Technology Analyst specializing in data science & analytics at Northern Trust. Involves projects in data science including investment management and technology management tasks.
Data Scientist leading the NLP Squad at Telefónica Tech. Driving AI solutions and data analysis while ensuring best practices in a collaborative team environment.