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) (via careerplan.io/jobs/9A-00E-8E-E65-14-604-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, Predictive Analytics, Feature Engineering, Model Deployment, Data Visualization, Cloud Platforms, A/B Testing, NLP
Preferred skills
Generative AI, LLMs, RAG, MLOps, Docker, Kubernetes, CI/CD, Industry-specific domain knowledge
Technologies
TensorFlow, PyTorch, Scikit-learn, XGBoost, LightGBM, AWS, Azure, GCP, Databricks, Snowflake, BigQuery, Power BI, Tableau, LangChain, Hugging Face
Responsibilities
Collect, clean, and transform data from multiple sources; Develop and validate machine learning algorithms; Build and deploy models for production environments; Analyze customer behavior and market trends; Collaborate with cross-functional teams to translate business problems into solutions; Design and maintain data pipelines and model monitoring frameworks; Develop dashboards and visualizations for stakeholders.
Seniority
Mid-Senior, hands-on IC