Data Scientist
Core
Develop predictive models, generate actionable insights, and solve complex business problems using data.
Role type
Intermediate IC data scientist
Builds
Production ML models, data pipelines, and analytical dashboards
Domain
General business analytics (Financial Services, Banking, Insurance, Retail, Telecommunications)
Deliverable
production ML models | dashboards & analysis
Required skills
Python (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch), SQL, statistics and probability, supervised and unsupervised learning, feature engineering, model evaluation and tuning, cloud platforms (Azure, AWS, GCP), data visualization (Power BI, Tableau, Matplotlib)
Preferred skills
MLOps frameworks, Generative AI/LLMs/RAG/AI Agents, Databricks/Azure ML/Snowflake, Spark/PySpark, CI/CD for ML, Docker/Kubernetes
Technologies
Python, SQL, TensorFlow, PyTorch, Power BI, Tableau, Matplotlib, Azure, AWS, GCP, Databricks, Snowflake, Spark, Docker, Kubernetes
Responsibilities
Analyze large datasets to identify trends and business opportunities; Design, develop, validate, and deploy machine learning and predictive models; Build and optimize data pipelines for data preparation and model training; Perform exploratory data analysis (EDA) and statistical analysis; Develop forecasting, classification, clustering, recommendation, and anomaly detection models; Monitor model performance and implement improvements; Ensure adherence to data governance, security, and compliance requirements
Seniority
Intermediate, hands-on IC