We are seeking experienced members to join the MedPro Group who are passionate about using data to solve business problems. As part of a newly developed Data Science team, you will design, and build out, the data pipeline to fuel the company along its digital journey. In this role, you will utilize a vast amount of data to help develop a deep understanding of underwriting risk, reduce the volatility of medical malpractice claims, and build common analytic platforms across our diverse businesses. You will also serve as the expert for building the infrastructure for data science project rollouts and function as the link between IT and Data Science.
You will have an impact on patient safety and the quality of billions of procedures performed annually by the 200,000+ MedPro Group insured healthcare providers. This position reports to the Lead Data Scientist and is an opportunity to get in on the ground floor of a quickly growing team with high visibility.
What We Look For:
We have a large number of potential projects in underwriting, claims, marketing, security, and online areas, which gives team members a lot more freedom of direction. As a result, we find that driven and genuinely curious people thrive here (not what but why). You would be involved with multiple projects, with timelines from days to months. We look for the ability to use independent judgment and initiative, and to anticipate the needs of leadership. We desire candidates who can accomplish tasks without extensive direction. This will mean top-notch experience leading a diverse set of small projects with limited oversight.
Our colleagues have diverse backgrounds; as such, candidates must be comfortable in an environment of whiteboard sessions to bounce ideas around on experiment design and approach, both on-site and remotely.
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 at MedPro, and be able to speak to what is new and upcoming in our field.
What skills you need:
Infrastructure and Design:
Strong experience setting up data warehousing solutions and associated pipelines for internal/external sources, including ETL tools.
Experience optimizing 'big data' data pipelines, architectures and data sets with RDBMS and distributed technologies (e.g. Spark, MapReduce, Hive, or Pig).
A successful history of manipulating, processing and extracting value from large disconnected datasets.
Ability to assemble large, complex data sets that meet functional / non-functional business requirements.
Strong experience with data munging and query authoring in SQL and NoSQL environments for both structured and unstructured data.
Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
Model Development and Deployment:
Build processes supporting data transformation, data structures, metadata, dependency and workload management.
Strong coding skills are paramount here. You will need the ability to script and program to mine data, automate tasks, etc. (Python, bash, sh).
Exposure to visualization experience in dashboards (Tableau) and web apps (R Shiny) is preferred but not required.
Bachelors in Computer Science or related field, Masters or a record of accomplishment of continued learning is preferred.
5+ years of technical experience with the above qualifications.
Experience managing others: This position will have direct reports.
Experience managing workflows for others, your team will be largely responsible for the initial data defining and munging for the Data Scientists.
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.
You have a history of building and interacting with well-written RESTful APIs.
You have set up and worked in AWS/Azure/Google Cloud environments.
Exposure of the complete lifecycle (from idea to execution) for machine learning projects in Python or R would be very helpful.
What's in it for you?
Competitive benefits package with medical, dental, vision, and profit sharing.
Traditional and Roth 401k with company matching fully-vested on day one.
Continued education support and conference attendance.
On-site facilities (Catered, discounted meals, gym, yoga studio, and a competitive table tennis atmosphere).
Additionally, this position may allow for flexible remote days or full remote, depending on candidate experience and skillset. Office locations are Princeton, NJ and Fort Wayne, IN. Expect to be at the FW headquarters for important deliverable meetings, DS team activities, and company grill-outs.
To submit a resume for consideration, please send a cover letter and resume, including cumulative GPA from highest level of education completed, to: email@example.com.
The Medical Protective Company