Data Scientist – Python, Machine Learning & SQL

Location: Remote (EST/CST)

Employment Type: Contract

Status: Accepting Candidates

About the Role: Seeking a Data Scientist to develop and deploy machine learning models, analyze complex datasets, and deliver actionable business insights. This role combines Python, SQL, statistical analysis, and data pipeline development to support business operations and strategic decision-making.

Key Responsibilities: Design, develop, and deploy machine learning models and statistical algorithms. Analyze structured and unstructured data to generate actionable insights. Develop automated and ad-hoc reports to support business decisions. Build and maintain data pipelines and workflows for scalable analytics. Conduct time-series analysis, sequential testing, and experimental designs. Communicate findings and recommendations to technical and non-technical stakeholders. Qualifications5–10 years of experience in Data Science, Data Analytics, or a related role. Proficiency in Python, SQL, Unix/Linux Shell Scripting, and Stored Procedures. Experience with Python data analysis or machine learning libraries such as Pandas, scikit-learn, PyTorch, Matplotlib, or Plotly. Experience with ETL tools, preferably Talend, DataStage, or MOVEit Automation. Experience with Enterprise Data Warehouses (EDW) and databases, preferably Snowflake or Oracle. Experience with CI/CD pipelines, strong problem-solving skills, and excellent written and verbal communication.