Data Scientist

Hybrid Work Model- Van Wert, OH, Dublin, OH

We are a team of data scientists who are passionate and inquisitive problem-solvers. We work together to deliver innovative, best-in-class analytic solutions to our business partners. We prioritize Integrity, Relationships, and Excellence in everything we do.

Our employees have the opportunity to fully utilize their talents and areas of expertise while simultaneously expanding their technical and business skill set. We encourage each employee to bring their best self to work each day; we believe who you are is just as important as what you do!

As a Data Scientist II, you will be squarely in the middle of honing your expertise and domain knowledge of insurance while bringing your best to deliver the data science practices among your peers. You will be carrying the torch to refine and hone-in our existing models and their revisions while at the same time pioneering your own greenfield projects to deliver new capabilities. You will also have the opportunity to influence the department’s short- and long-term strategic goals. The Data Scientist II will be expected to use statistical techniques to solve real-world problems and should be adept at interpreting and communicating key findings to employees within and external to the Data Science group.

To summarize, you will be critical to strengthening our core product platforms, building new capabilities, and have Central's strong values and history at your back to provide the assurance to build products that are directly tied to our success!

How You’ll Make an Impact

• Mines and extracts data and applies statistics and algorithms necessary to derive insights for Central Insurance.
• Supports the generation of an automated insights generation framework for Central Insurance’s business partners to effectively interpret data.
• Provides actionable insights through data science.
• Conducts statistical analysis, including predictive and prescriptive modeling in order to provide a competitive advantage.
• Grows understanding beyond the fundamental knowledge on industry trends, emerging technologies, and new methodologies and applies it to projects.
• Serves as a junior member on automation and analytical projects, at times collaborating across various functions.
• Works with more senior level scientists on the team to translate requirements into an analytical approach.
• Contributes to, or builds the analytic approach to solving a business problem; helps identify the sources, methods, parameters, and procedures to be used; may also communicate with stakeholders on project scope and timelines.
• Gathers and assimilates data according to the project plan; works with the team to discuss analysis and findings.
• Under the tutelage of senior team members, develops final recommendations, ensuring solutions are actionable in the business.

What you will bring

• Bachelor’s degree in Computer Science or related field and 1 year of related experience.
• Or 3 years of related experience.
• Strong analytical and problem-solving skills.
• Strong data visualization development experience.
• Ability to set priorities and plans to meet business goals and objectives.
• Ability to shift & balance strategic, high-level thinking with attention to detail.
• Ability to lead, motivate & influence without having formal authority.
• Ability to act as a thought leader with a focus on innovative & high-quality solutions.
• Ability to work both independently and in a team environment with internal/external customers.
• Ability to understand, design & implement end-to-end BI workflows.
• Strong organizational, planning & problem-solving skills.
• Ability to communicate with stakeholders and business partners.

Preferred

• Experience in performing predictive analytics in a large-scale enterprise.
• SQL experience in querying large datasets.
• Programming experience (Python or R).
• Experience with visualization tools such as Power BI, Tableau, etc.
• Experience in a Data Science or Analytics role in Financial Services.
• Exposure to version control, GIT Hub.
• Exposure to Cloud computing, AWS, Azure, GCP, etc.