Data Scientist (2 years of experience)
Core
Collect, clean, and preprocess data; perform exploratory data analysis; develop, validate, and deploy machine learning and predictive models; design data pipelines; translate business problems into analytical solutions.
Role type
Mid-level machine learning engineer (data scientist)
Builds
Production ML models, data pipelines, dashboards, and analytical reports
Domain
Data science, machine learning, predictive analytics
Deliverable
production ML models | dashboards & analysis
Required skills
Python, R, SQL, machine learning frameworks (Scikit-learn, TensorFlow, PyTorch), statistics, data visualization (Power BI, Tableau, Matplotlib), cloud platforms (AWS, Azure, GCP), big data tools (Spark, Hadoop), MLOps
Preferred skills
None stated
Technologies
Scikit-learn, TensorFlow, PyTorch, Power BI, Tableau, Matplotlib, AWS, Azure, GCP, Spark, Hadoop
Responsibilities
Collect, clean, and preprocess structured and unstructured data; Perform exploratory data analysis to identify trends and patterns; Develop, validate, and deploy machine learning and predictive models; Design and implement data pipelines and automation workflows; Monitor model performance and continuously improve algorithms
Seniority
Mid-level, hands-on IC