Company Description: Largest Mutual Life Insurance Company in the United States
Salary: Highly Competitive, Depending on Experience
Position Type: Permanent
Job Number: 10134
The largest writer of retail life insurance in the U.S. and a top player in annuities, long-term care and mutual funds, is seeking a Data Engineer in its Center for Data Science and Analytics.
The Center for Data Science and Analytics is the innovative corporate Analytics group within the company. We are a rapidly growing entrepreneurial department, which aims to design, create and offer innovative data-driven solutions for many parts of the enterprise. We are aided by the company's existing business with a large market share in individual life insurance. We have the freedom to explore external data sources and new statistical techniques, and are excited about delivering a whole new generation of Analytical solutions.
In fact, we are designing and will build one of the first multivariate model-based continuous risk differentiations in the industry. This model will incorporate current underwriting best practices (including medical rules) as features and add other data sources, patterns/ideas and variables to essentially create a rating plan to support the next generation underwriting process. This is just one of several projects with large business value. Geographic analytics on agents and customers, application fraud detection, agent success prediction and client prospecting analytics (off-line and on-line) are other exciting examples of enormous incremental value from analytics. Our products will be implemented into real-time core business processes and decisions that drive the company (e.g. underwriting, pricing, agent recruiting, prospecting, new product development).
We work with data ranging from demographics, credit and geo data to detailed medical data (medical test results, diagnosis, prescriptions) and social media information. We have a modern computing environment with a solid suite of data science/modeling tools and packages, and a large (but manageable) group of well-trained professionals at various levels to support you. Life insurance is on the verge of huge change. This is a chance to be part of, actually to drive, the transformation of an industry.
You will be part of Data & Platform sub-function team under Center for Data Science and Analytics. The Data & Platform team services internally to Data Scientists who focus on Statistical analysis.
You will be part of a fast paced, high-impact team who will work with an entrepreneurial mindset using some of the best of breed tools as part of our Enterprise Data Lake (Hadoop) using R, Spark and Python.
You will apply your data engineering skills to build pipelines, workflows to gather, cleanse, test and curate datasets from Oracle, MSSQL Server, 3rd party data and create datasets in Enterprise Data Lake (Hadoop) which will be used by several teams of predictive modelers.
You will perform Proof of Concepts and test out new software tools under the umbrella of Data Science but geared more towards data engineering.
Our technology stack is RStudio Pro, SAS, Enterprise Data Lake (using Hortonworks Hadoop Data Platform), Waterline, Trifacta, R, Python, Spark, PySpark, SparkR, Linux
Andiamo provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Andiamo complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
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