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)
Builds
Production ML models, dashboards, and data-driven strategies
Domain
Technology, SaaS, Healthcare, Finance, Retail, Manufacturing, Biotechnology
Deliverable
production ML models
Required skills
Python, SQL, statistical modeling, feature engineering, model deployment, data visualization, hypothesis testing, A/B testing, NLP, deep learning
Preferred skills
Generative AI, LLMs, RAG, MLOps, Docker, Kubernetes, CI/CD
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, and transform data from multiple sources; Develop predictive models and ML algorithms; Build, validate, and deploy ML models for production; Analyze customer behavior and market trends; Design and maintain data pipelines and model monitoring frameworks; Develop dashboards and visualizations; Conduct A/B testing and forecasting.
Seniority
Mid-Senior, hands-on IC (via careerplan.io/jobs/9A-00E-8E-E65-B1-602-data-scientist-machine-learning-at-cobalto-talent)