Data Scientist | Machine Learning
Core
Transform complex data into actionable insights, build predictive models, and leverage Machine Learning/AI to solve real-world business challenges for U.S.-based organizations.
Role type
Senior IC Data Scientist (Machine Learning & AI)
Builds
Production ML models, data pipelines, feature engineering processes, and dashboards for business stakeholders
Domain
Technology, SaaS, Healthcare, Finance, Retail, Manufacturing, Biotechnology
Deliverable
production ML models | dashboards & analysis
Required skills
Python, SQL, Statistical Modeling, Predictive Analytics, Feature Engineering, Data Visualization, Model Deployment, A/B Testing, Hypothesis Testing, Time Series Analysis
Preferred skills
Generative AI, LLMs, RAG, MLOps, Docker, Kubernetes, CI/CD, API Development
Technologies
Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, OpenAI API, LangChain, Hugging Face, MLflow, AWS, Azure, GCP, Databricks, Snowflake, BigQuery, Redshift, Power BI, Tableau, Looker
Responsibilities
Collect, clean, transform, and analyze structured and unstructured data; Develop predictive models and machine learning algorithms; Build, validate, and deploy ML models for production; Analyze customer behavior, business performance, and market trends; Collaborate with cross-functional teams to translate business problems into analytical solutions; Design and maintain data pipelines and model monitoring frameworks; Develop dashboards and visualizations to communicate insights
Seniority
Mid-Senior, hands-on IC
