Data Scientist

Job Description

Job Description

• Perform detailed quantitative analyses to support business and client needs.
• Manage multiple projects concurrently while meeting deadlines.
• Represent Data Science in cross‑functional collaborations.
• Support end‑to‑end solution implementation and deployment.
• Evaluate and improve existing methodologies.
• Document, present, and communicate findings to diverse audiences.
• Identify, troubleshoot, and resolve data or system issues.
• Continuously develop technical and analytical skills.

• Bachelor’s or Master’s Degree with a quantitative discipline.
• 0–2 years of professional experience in a quantitative or analytical role.

• Strong quantitative and problem‑solving capabilities.
• Proficiency in Python and SQL.
• Understanding of analytical processes and methodologies.
• Effective written, verbal, and presentation skills.
• Strong organizational and time‑management skills.
• Ability to work independently and collaboratively in a team environment.

This role has a market‑competitive salary with an anticipated base compensation of the following range: 66,800. . Actual salaries will vary depending on a candidate’s experience, qualifications, skills, and location. This role might also be eligible for a sales‑based incentive or performance‑based bonus. Other benefits include flexible working environment, comprehensive health insurance, industry‑leading parental leave, life insurance, education support and more.

• Comprehensive healthcare plan (medical, Rx, dental, and vision).
• Flexible spending accounts and a Health Savings Account (including company contributions).
• Life and AD&D insurance.
• 401(k) retirement plan including company matching contributions.
• Disability insurance.
• Tuition Reimbursement.
• Discretionary paid time off program and 11 paid holidays.
• Flexible working environment
• Volunteer time off
• Linked In Learning