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, data pipelines, feature engineering processes, and dashboards
Domain
Technology, SaaS, Healthcare, Finance, Retail, Manufacturing, Biotechnology
Deliverable
production ML models (via careerplan.io/jobs/9A-00E-8E-E65-data-scientist-machine-learning)
Required skills
Python, SQL, Statistical Modeling, Predictive Analytics, Feature Engineering, Model Deployment, Data Visualization, A/B Testing, Time Series Analysis, NLP
Preferred skills
Generative AI, LLMs, RAG, MLOps, Docker, Kubernetes, CI/CD, API development
Technologies
TensorFlow, PyTorch, XGBoost, LightGBM, Scikit-learn, OpenAI API, LangChain, Hugging Face, MLflow, AWS, Azure, GCP, Databricks, Snowflake, BigQuery, Redshift, Power BI, Tableau, Looker
Responsibilities
Collect, clean, and transform structured and unstructured data; Develop and deploy machine learning algorithms; Analyze customer behavior and market trends; Collaborate with cross-functional teams to translate business problems into analytical solutions; Design and maintain data pipelines and model monitoring frameworks; Conduct hypothesis testing and forecasting; Optimize data quality and model performance.
Seniority
Mid-Senior, hands-on IC