Protective Life Insurance Data Scientist in Birmingham, Alabama

Post Date

4/6/2018

Title

Data Scientist

Job Type

Full Time

Job Category

Data Science & Analytics

City

Birmingham

State

AL

Description

Protective Life Corporation, which today offers a broad portfolio of life, specialty insurance and investment products, traces its roots

to the Corporation's flagship company, Protective Life Insurance Company. Throughout our more than 100-year history, we have been a values-driven company, with strong financials. In 2015, Protective Life became a wholly owned subsidiary of The Dai-ichi Life

Insurance Company. Because of that acquisition, we are growing rapidly, and have a need for a Data Scientist to join the team.

As a Data Scientist, you will work with a multidisciplinary team to design and develop innovative analytical products & solutions using advanced analytics, data mining and machine learning.

You will use your critical thinking and problem-solving skills to assist in developing new approaches to complex business problems and thus make an impact on the company’s success. You should have the flexibility to work sometimes with ambiguity and changing

business priorities.

The ideal candidate must have a solid understanding of various modeling techniques, hands-on coding experience and a great communication skill where he/she can present complex technical

topics in simple business language.

Responsibilities & Essential Functions:

  • Collaborate with business leaders and partners to understand business needs and translate it into established business goals and measures of success

  • Independently gather requirements from appropriate business partners for project, including necessary data for analysis. Develop project plans, execute on deliverables within agreed upon

timeframes, manage deadlines, communicate progress and make recommendation to address issues

  • Ability to perform data mining on large datasets (structured and unstructured), build models and do analysis using advance modeling techniques

  • Under limited supervision, ascertain and execute plans to build, implement and maintain predictive models using available tools and programming languages. Monitor and provide feedback

on model performance and recalibrate model as necessary

  • Present and communicate results using tools like PowerPoint to target audience

Job Requirements

Basic Qualifications:

  • Bachelor’s, Master’s or PhD Degree in Applied Mathematics, Statistics, Computer Science, Data Science (or related fields) and a minimum of 3, 1-2 or 0-2 years of related work experience

for BS, MS or PhD respectively

  • Solid understanding of unsupervised and supervised modeling techniques, e.g., Clustering, PCA, GLM, Random Forest, Boosted Trees, Linear Classifiers etc

  • Experience in data manipulation and cleaning

  • Proficient in 2 programming languages out of R, Python, SAS and SQL

Preferred Qualifications:

  • MS/PhD in Applied Mathematics, Statistics, Computer Science (or related fields) and 3+ years of experience in programming languages for large scale data and predictive analysis (predictive

modeling, machine learning or data mining)

  • 3+ years of experience with machine learning

  • 3+ years of experience with relational databases

  • 3+ years of experience with programming languages (SQL, R, Python and SAS)

  • Hands-on experience working in Hadoop environment

  • Hands-on experience with text and image analytics

  • Hands-on experience with data science platforms, e.g., H2O, Databricks, Domino Data etc

  • Conceptual understanding of Hadoop and Big Data ecosystem