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Job Title: Principal Data Scientist (hybrid- onsite Monday- Thursday)

Location: US-GA-Atlanta (Sandy Springs)

FLSA: Non-exempt

#LI-Hybrid

Job Overview:

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).

Job 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

The above statements are intended only to describe the general nature of the job and should not be construed as an all-inclusive list of position responsibilities.

Job 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
• M.S. in mathematics, computer science, statistics, engineering, or equivalent (preferred)
• Expert proficiency in SQL, Python, and Git
• Strong written and verbal communication skills
• Experience leading or mentoring Jr. Data professionals

Company 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!

About Safe-Guard Products International:

Safe-Guard serves Original Equipment Manufacturers (OEMs), top retailers, and independent agents in the automotive finance and insurance industry with the leading Protection Products Platform. Our platform delivers innovative protection products and solutions that protect consumers from the perils of ownership, while providing Finance &Insurance professionals the tools to ignite scalable and sustainable business growth. Safe-Guard’s success is driven by over 850 employees, who serve more than 12,000 dealers and support contract holders across the U.S. and Canada.

For 30 years and counting, our team continues to transform the motor vehicle space, earning a stellar reputation from our partners and peers by providing: 1) the highest quality protection products in the industry, 2) a broad platform of branded product, technology, marketing, and training solutions, and 3) an unwavering commitment to uncomplicated care and customer service.

Safe-Guard Products International is an equal opportunity employer and gives consideration for employment to qualified applicants without regard to age, race, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, marital status, disability or protected veteran status, or any other status or characteristic protected by federal, state, or local law.