Job Description: Data Scientist
Location: Minneapolis, MN (Day 1 onsite)
Experience: 5+ Years
Note: We are seeking an experienced Data Scientist with strong knowledge of data science methodologies, statistical techniques, and machine learning algorithms. The ideal candidate will have hands-on experience analyzing complex datasets, developing analytical models, identifying patterns, and translating data-driven insights into actionable business recommendations The candidate must be local to Minneapolis, MN, and have approximately 5 years of relevant experience in Data Science.
Required Skills
- 5+ years of hands-on Data Science experience, with a strong track record of applying statistical methods, machine learning algorithms, and advanced analytical techniques to solve complex real-world business problems.
- Strong understanding of data science concepts, statistical methods, and algorithms.
- Knowledge of machine learning techniques, including supervised and unsupervised learning.
- Experience with data analysis, exploratory data analysis, and predictive modeling.
- Ability to interpret data and translate findings into actionable insights.
- Strong analytical, problem-solving, and communication skills.
Key Responsibilities
- Analyze large and complex datasets to identify trends, patterns, and business insights.
- Apply statistical methods and mathematical techniques to solve business problems.
- Develop, implement, and evaluate machine learning algorithms and predictive models.
- Perform data cleaning, preprocessing, feature engineering, and exploratory data analysis.
- Select appropriate algorithms based on business objectives and data characteristics.
- Evaluate model performance using relevant statistical metrics and validation techniques.
- Communicate analytical findings and model results to technical and business stakeholders.
- Collaborate with cross-functional teams to support data-driven decision-making.
- Document methodologies, assumptions, results, and recommendations.
Preferred Technical Skills
- Python or R for data analysis and modeling.
- SQL for data extraction and manipulation.
- Experience with model validation, performance evaluation, and feature engineering.
- Familiarity with data visualization and analytical reporting tools.
Shiva Nayani
Sr Technical Recruiter
Desk Phone: +1
Email ID LinkedIn:
(NYNJMSDC, MWBE, NY SBS MBE, CPUC, & WBE Certified)
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Address: 3rd Ethel Rd, Suite # 302, Edison, NJ 08817
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