Data Scientist

Safe-Guard Products International LLC • Atlanta, GA

7d • Hybrid

About The Position

Safe-Guard’s Risk Department is expanding and adding a new Data Scientist role within the Enterprise Analytics team. Safe-Guard has claims and contract data on over 40 million vehicles, with thousands of vehicles added every day.  We are the leading provider of automotive warranties in North America, providing warranties to a wide variety of clients. Our clients include BMW, Mercedes-Benz, GM, and many more.

As a Data Scientist at Safe-Guard, you will be responsible for a wide variety of analytical tasks. This includes but is not limited to: deploying and monitoring machine learning solutions, gathering data from different systems using SQL/Python, and working with business partners to identify new analytical projects. The ideal candidate will be comfortable taking ownership of complex analytical projects and leading them from start (opportunity identification) to finish (deployment and monitoring).

Requirements

• 4+ years working in analytical role (e.g., data scientist, data analyst, etc.)
• Proven track record of developing and deploying analytical solutions
• Foundational understanding of common data science techniques such as logistic regression, decision trees, clustering, A/B testing, design of experiments, hypothesis testing, and neural networks
• B.S. in mathematics, computer science, statistics, engineering, or equivalent
• Expert proficiency in SQL, Python, and Git
• Strong written and verbal communication skills
• Experience leading or mentoring Jr. Data professionals

Nice To Haves

• M.S. in mathematics, computer science, statistics, engineering, or equivalent (preferred)

Responsibilities

• Collaborate with IT, Claims, Legal, and Sales teams to identify ways in which analytics can be leveraged to increase profitability
• Develop, deploy, and monitor enterprise-wide AI and machine learning solutions to support both claims and sales analytics initiatives
• Provide guidance on AI and machine learning best practices
• Provide data insights to drive business outcomes, business decisions, and strategy
• Lead a small team of Data Engineers and Data Analysts

Benefits

• Medical, Dental, and Vision Insurance
• Flexible Spending Account
• Health Savings Account
• 401(k) Plan with Company Match
• Company-paid Short-Term and Long-Term Disability
• Company-paid Life Insurance
• Paid Holidays and Vacation
• Employee Referral Program
• Employee Assistance Program
• Wellness Programs
• Paid Community Service Opportunities
• Tuition Reimbursement
• Ongoing Training & Personal Development
• And More!

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 251-500 employees