Senior Data Scientist
- Compensation
- Not disclosed
- Location
- Not listed
- Work setup
- Remote
- Seniority
- Senior
- Employment
- Contract
- Experience
- 3+ years
- Category
- Data science
- Posted
Skills
Must have
- Master’s degree or higher in data science, statistics, economics, computer science, engineering, or another quantitative field; or equivalent practical experience.
- 3+ years of experience developing predictive models or analytical solutions in a professional setting.
- Strong programming skills in Python and SQL, including experience with common data science libraries such as pandas and scikit-learn.
- Experience selecting, training, and evaluating statistical or machine learning models for structured data.
- Understanding of sound validation practices, including holdout testing, time-based validation, and methods to reduce data leakage.
- Experience working with large datasets using Spark or similar distributed processing tools.
- Ability to explain technical findings and model limitations clearly to both technical and nontechnical partners.
Nice to have
- Experience with automotive, vehicle valuation, lending, insurance, leasing, auctions, or other asset-value modeling.
- Experience forecasting values or depreciation across multiple time horizons and market conditions.
- Experience with model interpretability, prediction intervals or other uncertainty measures, and ongoing model monitoring.
- Experience building or supporting production data science workflows in a cloud or distributed computing environment.
- Familiarity with deep learning frameworks such as PyTorch or TensorFlow, when appropriate to the data and use case.
- Experience using text or other unstructured data in predictive modeling.
- Familiarity with generative AI tools, when relevant to extracting or organizing information from unstructured sources.
Full description
**IntelliSoft Technologies is a leading global information technology firm that specializes in Big Data & AI serving fortune 500 clients for past 21years. Company has been globally recognized for its comprehensive portfolio of services, innovation in technology and strong commitment to sustainability, governed by technocrats with industry experience.
At IntelliSoft, our professional development team helps your career by identifying the right opportunities and guide you to acquire latest technologies in this fast paced technology world. We believe in our employees and provide them excellent benefits.Role: Senior Data ScientistLocation: RemoteBasic Qualifications**
- Master’s degree or higher in data science, statistics, economics, computer science, engineering, or another quantitative field; or equivalent practical experience.
- 3+ years of experience developing predictive models or analytical solutions in a professional setting.
- Strong programming skills in Python and SQL, including experience with common data science libraries such as pandas and scikit-learn.
- Experience selecting, training, and evaluating statistical or machine learning models for structured data.
- Understanding of sound validation practices, including holdout testing, time-based validation, and methods to reduce data leakage.
- Experience working with large datasets using Spark or similar distributed processing tools.
- Ability to explain technical findings and model limitations clearly to both technical and nontechnical partners.
Preferred Qualifications
- Experience with automotive, vehicle valuation, lending, insurance, leasing, auctions, or other asset-value modeling.
- Experience forecasting values or depreciation across multiple time horizons and market conditions.
- Experience with model interpretability, prediction intervals or other uncertainty measures, and ongoing model monitoring.
- Experience building or supporting production data science workflows in a cloud or distributed computing environment.
- Familiarity with deep learning frameworks such as PyTorch or TensorFlow, when appropriate to the data and use case.
- Experience using text or other unstructured data in predictive modeling.
- Familiarity with generative AI tools, when relevant to extracting or organizing information from unstructured sources.
Equal Employment Opportunity
All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.