Data Scientist

Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, certifications obtained. Market and organizational factors are also considered. Successful candidates may be eligible to receive annual performance bonus compensation.

Benefits

• Day 1 Medical, supplemental health, dental & vision for full-time employees who work 30+ hours
• Best-in-class well-being programs
• Annual, no-cost health assessment program Blueprint for Wellness®
• healthyMINDS mental health program
• Vacation and Health/Flex Time
• 6 Holidays plus 1 "MyDay" off
• FinFit financial coaching and services
• 401(k) pre-tax and/or Roth IRA with company match up to 5% after 12 months of service
• Employee stock purchase plan
• Life and disability insurance, plus buy-up option
• Flexible Spending Accounts
• Annual incentive plans
• Matching gifts program
• Education assistance through MyQuest for Education
• Career advancement opportunities

Responsibilities

• Performs ad-hoc analysis to identify the root cause of trends in business performance
• Develops and tracks key performance indicators (KPIs) in partnership with business stakeholders
• Communicates findings and recommendations to business leaders through data visualizations and reports
• Writes code to transform raw data into clean, structured, and reliable data sets for analysis
• Builds and maintains automated business intelligence dashboards and reports
• Documents data sources, models, and metrics to maintain a trustworthy data ecosystem

Qualifications

• 1-3 years of experience in an analytical role
• Foundational skills in statistics, SQL, and a programming language like Python or R are required
• An advanced degree can often substitute for 1-2 years of work experience

Skills

• Strong proficiency in SQL for data extraction and manipulation, and Python or R for statistical analysis
• Ability to communicate findings clearly through data visualization and written reports

Knowledge

• Foundational knowledge of statistics, probability, and key performance indicators (KPIs) relevant to the business
• Foundational knowledge of data warehousing concepts (e.g., dimensional modeling) and BI tools (e.g., Looker, Tableau, PowerBI)

Pay

$75,000 / year