Data Scientist
$72K-$117K (Glassdoor est.)
Job Title:
Data Scientist

Location:
Ameritas Life-Cincinnati-OHCN2

Area of Interest:
Information Technology

Full-Time/Part Time:
Full-time

Job Description:
Deepen understanding and usage of data across the enterprise.

At Ameritas, fulfilling life is what we do daily. We continuously strive to help our customers and employees enjoy life at its very best by reducing uncertainty, helping grow assets and protecting what is most cherished. We're here to help people put worry behind and the future ahead and help enable a life that's rich in family, happiness, health and financial security. When lives are fulfilled, our mission is fulfilled.

Ameritas Life Insurance Corp is seeking a Data Scientist to drive the business by collecting and analyzing customer and operational data to deepen the understanding of the customer behavior across all channels.

Essential Job Functions
Work directly with the business to understand their questions, business processes, programs and/or initiatives, then identify how analytical solutions could help deliver value for them.
Learn and understand the insurance industry, practices, standards and concepts for all business lines to determine how they are interrelated and the impact on data integration
Determine necessary data sets and translate data into viable insights and business recommendations
Responsible for utilizing software best practices, creating models, algorithms and modern techniques
Utilizes extensive research and problem-solving skills that includes descriptive and predictive analytics
Understand data collection capability in all business systems and recommend enhanced business processes
Implement predictive modeling to create actionable outcomes
Assist in automating data wrangling, iterative solution search and operationalization of models, working alongside data architects.
Provide analytical support and guidance, through database querying, third-party vendor reporting and external partner reports, across the enterprise
Work with cross-functional teams to resolve data discrepancies and system issues
Communicate with and present to managers from all levels of the business, both internal and external
Requirements
Bachelor's degree or equivalent amount of experience required, preferably in a quantitative field such Data, Computer Actuarial Sciences, Engineering, Statistics or Mathematical degrees
4+ years of relevant experience in the areas listed below, or equivalent combination of education and experience.
Experience programming in R, SQL, Python
Knowledge of statistical areas such as ANOVA, multiple regression, timeseries modeling, principal component analyses, decision trees, clustering, etc.
The ability to handle missing data through an algorithmic approach such as multiple imputations to enable insights in sparse and messy datasets
Experience coding and maintaining predictive algorithms
Strong research, statistical, analytical, processing and mathematical skills with ability to structure and conduct analysis
Fluency with analytics platforms like SAS, DSX or SPSS, Data Robot, Alteryx, etc.
Motivated and self-directed - will seek out answers rather than waiting to be told what to do
Disposition for data detective work a plus
Strong written and verbal skills
Possess strong time management skills, as you will be managing multiple projects at once
We are Ameritas: proud to say we're in the business of fulfilling life.
Ameritas Life Insurance Corp
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Ameritas Life Insurance Corp
