Job Description

Are you seeking an opportunity to use your data skills while partnering with senior executives to solve business challenges? At Ameritas, our mission is Fulfilling Life. We do that in many ways, but especially by helping people invest in themselves by offering trusted financial products and advice. Because we believe everyone should be happy, healthy, and financially secure, we work hard to provide trusted financial products and valued guidance, including individual life and disability insurance, employee benefits, retirement planning, investments, and wealth management services. Drive the business by collecting and analyzing customer and operational data to deepen the understanding of the customer behavior across all channels. Use strong written and verbal communication skills to "tell the story" and develop executive level presentations and guidance. Influence the direction of the business providing data driven conclusions to cross functional groups. This is a highly visible role that will work on high profile projects and interact with C suite level leaders in many instances. This role will require a candidate who is positive, curious, collaborative, motivated and self-directed. The position involves seeking out answers and solutions without being provided specifics on exact steps to be performed. Exceptional attention to detail and ability to work effectively with minimal supervision will be key to success. Success in this role will involve handling missing data through an algorithmic approach (such as multiple imputations) to enable insights in sparse and messy datasets. What you will do * Apply a broad range of advance modeling techniques and theories from statistics, machine learning, heuristics, NLP, and deep learning to create algorithms and predictive models that are actionable for the business * Design, develop and program methods, processes, and systems to consolidate and analyze diverse "big data" sources to generate actionable insights * Challenge the status quo and impact business outcomes * Exercise judgment in selecting optimal AI/ML methods, techniques, and evaluation criteria for obtaining results * Build robust DoE plans, testing plans, validation of models using unit test cases and/or other applicable testing * Work directly with the business to understand their questions, business processes, programs and/or initiatives; then identify how analytical solutions could help deliver value * Learn and understand 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 * Utilize software best practices in creating models, algorithms, and modern techniques * Utilize research and problem-solving skills that include descriptive, predictive, and prescriptive analytics * Understand data collection capability in business systems and recommend enhanced business processes * Assist (in partnership with data architects) in automating data wrangling, iterative solution search and operationalization of models * Provide analytical support and guidance across the enterprise, through database querying, third-party vendor reporting, and external partner reports * Work with cross-functional teams to resolve data discrepancies and system issues * Communicate with and present to managers from all levels of the business What you bring * Master's degree or equivalent combination of education and experience required. Desired fields of education preferably in Data, Computer Science, Actuarial Science, Engineering, Statistics or Mathematics. * 2+ years of relevant experience in the areas listed below, or equivalent combination of education and experience. Experience needs to include deep hands-on involvement in developing models and coding techniques. * Experience programming in R, SQL, Python required. * Working knowledge of statistical areas such as ANOVA, multiple regression, timeseries modeling, decision trees, clustering, Random Forest, Gradient boosting, and SVM required. * Strong research, statistical, analytical, processing, and mathematical skills with ability to structure, implement efficient coding, create/maintain predictive algorithms and conduct analysis is required. * Experience building and deploying models in a Big Data environment; comfortable with using Hive, MapReduce, Spark SQL, PySpark, JavaScript, Sqoop desired. * Working knowledge of any of the analytics platforms like SAS, MatLab, Data Robot, Alteryx, Dataiku, etc. is desired. * Working knowledge of AIML packages such as Keras, Theano, TensorFlow is desired. * Working knowledge of cloud infrastructures such as AWS or Azure desired. * Experience coding and maintaining predictive algorithms desired. * Knowledge of principal component analyses, deep learning using RNN/CNN, Hidden Markov, NLP, Bayesian techniques is desired. What we offer * Our company motto is "Fulfilling Life" and we take that job seriously, with a heavy commitment to volunteering and community support, employee well-being, and providing quality products and services that help our customers create a brighter future. * Being a mutual-based organization, the return on our investment goes back into the company, to benefit our members/customers. * We're committed to professional development, opportunity, inclusion, and diversity. Team building and collaboration are also priorities. * A total rewards package with all the comprehensive health and welfare benefits you'd expect, including competitive pay and incentives, 401(k), flexible work schedules and time off to care for yourself and others. * Additional popular benefits, including tuition reimbursement, and student loan repayment, an incentivized well-being program, adoption assistance, paid time off for volunteering, training, and career development opportunities. An Equal Opportunity Employer Ameritas has a reputation as a company that cares, and because everyone should feel safe bringing their authentic, whole self to work, we're committed to an inclusive culture and diverse workplace, enriched by our individual differences. We are an Equal Opportunity/Affirmative Action Employer that hires based on qualifications, positive attitude, and exemplary work ethic, regardless of sex, race, color, national origin, religion, age, disability, veteran status, genetic information, marital status, sexual orientation, gender identity or any other characteristic protected by law. Salary Range $63,715-$95,572 Equal Opportunity Employer Minorities/Women/Protected Veterans/Disabled more