Senior Data Scientist

Fort Wayne, Indiana

 

Senior Data Scientist

We are seeking people who are passionate about data and applying the latest machine learning technology to solve business problems. As a senior member on the Data Science team, you will be responsible for designing building the tools that move the company along its digital destination.  The Data Scientist will utilize vast amounts of data to help develop a better understanding of underwriting risks, reduce the volatility of claims and build common platforms across the various business units. You be hands on in the development of deep learning models for data extraction, mobile app deployment and dashboards to drive smart decisions. 

There are a large number of projects in underwriting, security, claims, marketing and online areas. Successful candidates combine their in-depth understanding of each projects business outcome, strategic alignment, user impact, technical feasibility and resource requirements to prioritize and optimize team efforts. 

You will help to design and manage programs to teach areas of the business new analytical tools, techniques, and visualizations, and to reinforce the idea that data is our strongest asset. Published work / prior teaching experience is a plus.

Our team functions as an internal consultancy; you will need to develop strong working relationships between many different departments. As such, we look for the ability to positively represent your Data Science team, interact and provide direction to members at all levels and departments, and be able to speak to what is new and upcoming in our field.

  

What experience we are looking for

Infrastructure/Design:

Experience setting up data warehousing solutions and associated pipelines for internal/external sources, including ETL tools. o Experiment design and related project management skills. Your documentation could often be the foundation for departmental training.

Data Munging:

Strong experience with data munging in SQL and NoSQL environments for both structured and unstructured data. o Experience working with RDBMS and distributed technologies (e.g. Spark, MapReduce, Hive, or Pig).

Experience sourcing and merging additional external sources of data.

Model Development and Deployment:

A strong history working throughout the complete lifecycle (from idea to execution) for machine learning in Python or R. This would include parametric and nonparametric modeling for supervised and unsupervised solutions. (( NOTE )) PYTHON is preferred and the company will be doing short programming tests in PYTHON 

A strong understanding in the different ML techniques and variable reduction approaches as well as parameter and hyper-parameter tuning.

Visualization experience in dashboards (Tableau) and web apps (R Shiny).

Strong coding skills are paramount here. You will need the ability to script and program to mine data, automate tasks, etc. (Python, bash, sh). 

Education/Experience:

Masters in statistics or related field, PhDs or a record of accomplishment of continued learning is preferred.

7+ years of technical experience with the above qualifications. o Experience with medical malpractice, workers compensation, or other low frequency, high-severity industries is preferred, but not required. Experience with dirty medical data also preferred.  o A history of leading junior team members.