Job Location: Bloomington, MN
Data Scientist
SFM – The Work Comp Experts
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SFM is unique in that we are small enough that your voice is heard, but has all the benefits and perks of a larger employer. We value your opinion, help you reach your goals, and make it easy for you to maintain work-life balance. We value our employees and believe that their success is our success. Our benefits are designed to help you navigate your work-life journey. We offer generous PTO, paid holidays, student loan pay back, medical and dental insurance, 401K and much more. Find out why our employees rate us a top employer and choose to stay and grow with us. Visit our careers page to learn more about working at SFM.
The role
The Data Scientist will build and maintain predictive models to support the company’s business needs and strategic goals while advocating for use of data and analytics to drive decision making. You will build new models, review and improve existing models and tools, and be responsible for other analytics special projects. We are looking for someone who can learn SFM’s business and help identify the business problems where predictive modeling would have the highest return on investment. Experienced Data Scientists are encouraged to apply and if qualified, will be considered for a Senior role. We will tailor your project work and training to your experience level so that you able to grow and develop with SFM. As part of a small team, your responsibilities will vary as needs arise; we are looking for a team member who is curious, excited about seeing all parts of the company and is willing to pitch in where needed.
This position is eligible for remote work in Minnesota, Wisconsin, Iowa or Nebraska. If working remotely, occasional travel to Bloomington, MN may be needed.
What You Will Be Doing
1. Extract and manipulate data: Collect or extract data from internal and external sources, including processing, cleaning, and validating data for use in analytical work.
2. Build predictive models: Use statistical modeling and machine learning techniques to develop predictive models that help the business make decisions and improve efficiency. This includes taking high-level business challenges, translating them into a quantitative framework, and using advanced analytics to develop solutions.
3. Review and improve existing models: Review existing models to identify where enhancements are needed. Identify the type of statistical model appropriate in various situations. Periodically test and retrain models with new data and methods.
4. Vet external tools and platforms: Review existing vendor tools used by Claims and Underwriting to understand their effectiveness and how best to use them. Research and keep up to date on other tools in the industry that may benefit SFM. Stay up to date on machine learning tools and platforms used in the industry and make suggestions on what to adopt to meet SFM’s data science needs.
5. Conduct ad hoc analysis: Perform miscellaneous analysis as needed to help answer business questions. Depending on background, may assist with actuarial functions of pricing and reserving with a particular focus on opportunities for multi-variate analysis as well as general process improvement.
6. Communicate Findings: Communicate effectively with leaders and management on project status, work assignments, and results. Communicate technical concepts to non-technical audiences. Present findings to internal and external stakeholders. Provide clear and concise documentation.
7. Drive Business Implementation: Assist business partners by translating business goals into data science models and metrics. Work with business partners to drive buy-in and get recommendations implemented. Help users understand and get comfortable with the models to ensure they become part of the business process. Assist with the integration of models into existing workflows and processes.
What We’ll Love About You
- Bachelor’s Degree or equivalent work experience in Statistics, Mathematics, Data Science, Actuarial Science, or a related analytical STEM field; Master’s degree preferred.
- Experience in insurance, finance or healthcare industries is a plus.
- Previous modeling or actuarial experience within the Property and Casualty Insurance Industry is desirable.
- Advanced knowledge of statistical concepts and machine learning methods developed through coursework or work experience, including concepts such as generalized linear models, regression, clustering, classification, decision trees, etc.
- Working knowledge of at least one statistical programming language such as R, Python or SAS.
- Ability to communicate technical concepts for non-technical audiences
- Knowledge of relational database concepts and experience writing SQL queries to extract data preferred
- Strong innovation skills and able to inspire innovation and continuous quality improvement.
- Good verbal and written communication skills.
- Self-driven with an ability to lead key statistical initiatives while working with multi-functional teams.
- Excellent customer service skills
Physical Requirements
Regular attendance is required. Work takes place in a semi paperless environment within an in or office home office setting, using standard office equipment such as computers, phones, and photocopiers, which requires being stationary for extended periods of time. While performing the duties of this job, the employee is regularly required to talk or hear, and maintain concentration and focus. The employee frequently is required to stand; walk; use hands and fingers, handle or feel; and reach with hands and arms and work with close vision. This position requires the ability to occasionally lift office products and supplies, up to 20 pounds. Work is performed indoors with little to no exposure to extreme outdoor weather conditions. Travel as needed.
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
About SFM
Since 1983, our mission has been to be the workers’ compensation partner of choice for agents, employers and their workers. In that time, we’ve expanded to over 25,000 customers in the Midwest and grown our offerings to include vocational rehabilitation, loss prevention, medical services and more. Though much has changed through the years, our focus continues to be unrivaled customer service, safety, and providing better outcomes for employers and injured workers.
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SFM Mutual Insurance Company and each of its parent companies, subsidiaries and/or affiliated companies are Equal Opportunity/Affirmative Action Employers. SFM provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, status with regard to public assistance, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
SFM Companies, EEO/AA Employers. SFM is a participant of E-Verify. Applicants have rights under Federal Employment Laws.
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