Data Scientist 1

AAA • Coppell, TX

2d • Hybrid

About The Position

The Data Scientist acts as an internal business consultant, using data to help optimize the organization, reduce costs and errors, and improve service for its members. The role addresses problems raised by stakeholders by retrieving, analyzing, and interpreting relevant data; identifying patterns or trends and assessing their statistical significance; and presenting findings to stakeholders in collaboration with a data engineer. Analyses may confirm, refute, or acknowledge a hypothesis and may lead to implementation or further work.

The posting describes the role as hybrid, requiring the candidate to live within 100 miles of the Coppell, Texas office and work on-site three days per week, with additional on-site collaboration days and team meetings two to three times per month. It also states that the role is remote while requiring regular collaboration days at the Independence, Ohio office.

Requirements

• Solid foundation in statistics and data analysis.
• Proficiency with SQL.
• Proficiency in either Python or R.
• Ability to describe and explain involvement and decisions throughout a data analysis project, including data retrieval, analysis, identification of trends or patterns, significance assessment, and delivery of business insights or recommendations.
• Excellent communication skills, including the ability to explain data-related work to people who may be less technically or data savvy.
• Flexibility and ability to adapt the approach or deliverable as project needs change.
• Previous experience working with an Agile team or understanding of Agile concepts.
• For the Coppell-based hybrid arrangement, residence within 100 miles of the Coppell, Texas office and availability to work on-site three days per week and for collaboration days two to three times per month.

Responsibilities

• Work with stakeholders to identify and solve business problems using data.
• Pull relevant data from SQL databases.
• Analyze and interpret data using Python, R, Excel, or other suitable tools.
• Identify data patterns and trends and assess their statistical significance.
• Visualize data using Tableau.
• Present findings to stakeholders in collaboration with a data engineer and confirm, refute, or acknowledge hypotheses.
• Communicate changes in approach, timelines, and deliverables clearly to stakeholders and team members.
• Participate in daily Agile standups, complete projects or stories during bimonthly sprints, and meet deployment deadlines.

Benefits

• Medical, dental, and vision health coverage
• 401(k) savings plan with company match
• Pension
• Tuition assistance
• Floating holidays
• Paid time off for community volunteer programs
• Paid parental leave
• Wellness programs
• Employee discounts on membership, insurance, travel, entertainment, services, and more

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed