Data Scientist Specialist
Core
Develop statistical and Machine Learning models to solve business challenges, perform exploratory and diagnostic analyses, and transform analytical results into actionable recommendations for stakeholders.
Role type
Data Scientist Specialist (ML & Analytics)
Builds
Production ML models, data pipelines, and feature engineering solutions for CRM and business intelligence.
Domain
Financial Services / Data Science
Deliverable
production ML models | product features
Required skills
Machine Learning, Python, SQL, Databricks, Spark, Statistical Analysis, Predictive Modeling, Data Pipelines, Feature Engineering, Data Visualization
Preferred skills
Financial Services domain knowledge, Cloud platforms (AWS/Azure/GCP), Model Governance and Explainability
Technologies
Databricks, Spark, SQL, Tableau, Power BI
Responsibilities
Develop statistical and ML models to solve business challenges; Build and optimize data pipelines and feature engineering using Databricks and Spark; Perform exploratory and diagnostic analyses to generate strategic insights; Apply advanced modeling techniques for segmentation, classification, regression, propensity, and recommendation; Collaborate with multidisciplinary teams and participate in code reviews; Document models and support governance and audit processes.
Seniority
Mid-Senior, hands-on IC
