Fidelity Life/Efinancial

Data Scientist

US-WA-Bellevue
Job ID
2017-1686

Overview

As a key member of the Analytics team, you will be responsible for data-driven insights that enable Efinancial and Fidelity Life Association to optimize business processes and the customer experience. You will gather, organize and aggregate large sets of data in order to produce meaningful business insight in areas such as call center activity, predictive modeling of customer value, constraint optimization, and underwriting.  If you love leading and developing a strategic vision, solving complex problems, driving business strategy and increasing overall profitability by developing deep analytic approaches and infrastructure, this role is for you!

Responsibilities

  • Build predictive and behavioral analyses models that are used by the marketing, underwriting & sales teams to enhance targeting, increase revenue, and allocate resources more efficiently
  • Develop a behavior-based model of the customer lifecycle
  • Evaluate specific product performance and sales performance to make recommendations to Senior Management to increase productivity and drive efficiencies
  • Identify the necessary data and equations to answer business questions
  • Translate business questions into definable metrics and vice versa.  Ability to explain the story the numbers are telling, test hypotheses with numerical data, and identify problem areas
  • Research competitors, adjacent markets, and current market trends to discover new business or process opportunities

Qualifications

  • Bachelor’s degree in a quantitative field such as mathematics, economics, statistics, informatics, data science, or engineering required, advanced degree strongly preferred
  • Experience with statistical analysis, complex SQL queries, and business modeling
  • Demonstrated knowledge of applying data mining techniques (i.e. classification, & clustering, time series forecasting, Simulation and system modeling), statistics and information retrieval methods to real-world data
  • Expertise in predictive modeling using both supervised, unsupervised, and reinforcement learning techniques. Must have knowledge and experience in the following: generalized linear models, model validation and testing, dimensionality reduction, clustering, and Bayesian approaches to data analysis
  • Strong foundations in the design and interpretation of experiments
  • Experience working with a data warehouse environment and leveraging models within a cloud based environment
  • Proven ability to transform the results of complex modeling procedures into concrete decisions and actions
  • Demonstrated proficiency with R or Python
  • Working knowledge of Hadoop, Hive, and/or MapReduce

 

EEOC/Other

Efinancial is an equal opportunity employer and supports a diverse workplace. As an Efinancial employee, you will be eligible for Medical and Dental Insurance, Health Savings Accounts, Flexible Spending Accounts (Health, Dependent Care & Transit), Vision Care, 401(K), Short-term and Long-term Disability, Life and AD&D coverages.

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