Auto-Owners Insurance
Data Scientist
Lansing, MI
Sponsorship not specifiedDetected 30 days ago
PythonData StructuresSQLMachine LearningDeep LearningTensorFlowscikit-learnData ScienceStatisticsElectrical EngineeringResearchCommunicationMentoring
About the role
- Conduct ad-hoc analysis and present results clearly at multiple-levels of stakeholders through visual displays of quantitative information
- An understanding of statistical and machine learning techniques, including classification, regression, clustering, feature engineering, decision trees, gradient boosting, deep learning, etc.
- Aptitude and willingness to learn new things and teach others
Responsibilities
- Our group of caring associates create financial security by helping individuals and businesses make a new start when a loss occurs.
- Design, prototype, and implement new approaches for solving problems.
- Collaborate with a cross-functional team, including software developers, architects, and business leaders
- Monitor model performance and implement iterative improvements
Requirements
- Master's degree in a quantitative discipline (e.g. Mathematics, Statistics, Computer Science, Physics, Operations Research, Economics, Electrical Engineering, etc.)
- Proficiency in SQL or other data querying language
- Experience with common data science toolkits, such as R, Python, TensorFlow, SQL, Scikit-learn, Keras, etc.
- Candidates with 0-1 years of experience, please use the job posting for "Predictive Modeler".
Nice to have
- (Preferred) PhD in a quantitative discipline
- (Preferred) Experience in the insurance industry
Skills
- Strong written and oral communication skills
Compensation
- Compensation/Benefits
Benefits
- Use statistical and machine learning techniques to build models that address business needs and comply with regulatory requirements
Equal opportunity
- Auto-Owners Insurance is an equal opportunity employer.
- The Company hires, transfers, and promotes on the basis of ability, without consideration of disability, age, sex, race, color, religion, height, weight, marital status, sexual orientation, gender identity or national origin, or any factor contrary to federal, state or local law.
- Please note that the ability to work in the U.S. without current or future sponsorship is a requirement.
- #LI-DNI #IN-DNI
Visa & Work Authorization
- Please note that the ability to work in the U.S. without current or future sponsorship is a requirement.
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