Support data science and analytics projects across the full lifecycle, including data gathering, cleaning, and exploratory analysis
Assist in developing and testing predictive or descriptive models under the guidance of senior team members
Analyze data sets to identify trends, patterns, and actionable insights
Build dashboards and visualizations to communicate findings to technical and non-technical stakeholders
Partner with cross-functional teams (engineering, product, business teams) to understand requirements and translate them into analytical approaches
Contribute to documentation of data workflows, methodologies, and results
Perform testing, validation, and quality checks on data and analytical outputs
Present findings and recommendations to team members and leadership (Aligned with existing expectations such as collaborating with development teams, analyzing results, and presenting findings to meet business needs)

Currently pursuing a Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field
Exposure to programming languages such as Python or R
Foundational knowledge of SQL and data querying
Familiarity with data analysis libraries (e.g., pandas, NumPy) or visualization tools (e.g., Power BI, Tableau)
Understanding of statistical concepts and basic machine learning techniques preferred

Health benefits to include Medical, Dental and Vision
Company match 401k
eligibility to participate in Employee Stock Purchase Plan
Eligibility to earn commissions/bonus based on company and individual performance
flexible paid time off (PTO) and sick time

Data Science, Analytics Intern – Technology Solutions

Key skills