Data Scientist identifies trends, patterns, and anomalies found in big data sets by performing extensive data analysis to develop insights. Performs data mining, cleaning, and aggregation processes to prepare data, implement data models, conduct analysis, and develop databases. Being a Data Scientist interprets results from multiple structured and unstructured data sources using programming, statistical, and analytical techniques and tools. Collaborates with teams to understand each data analysis projects' underlying purpose, focus, and objectives. Additionally, Data Scientist designs, develops, and implements the most valuable data-driven solutions for the organization. May require a master's degree in computer science, mathematics, engineering or equivalent. Typically reports to a manager. The Data Scientist work is closely managed. Works on projects/matters of limited complexity in a support role. To be a Data Scientist typically requires 0-2 years of related experience. (Copyright 2024 Salary.com)
Why MMIT? At MMIT (https://www.mmitnetwork.com/), we provide our healthcare clients with a transparent, structured view of complex drug coverage information. We are a company that values:
We answer the “what” and the “why” related to drug coverage and reimbursement, leveraging technology, research and industry experts to make sense of how and why specific pharmaceutical drugs are covered. Physicians and pharmacies use our data and applications to understand what drugs are available to patients and how they are covered by health plans. Pharmaceutical manufacturers trust our data to understand how their drug and competitive drugs are covered, which helps forecast performance and tune strategy.
Team Overview
The MMIT Product Management Team is charged with developing, growing and maintaining the MMIT product portfolio that smooth access to lifechanging therapies. This entails managing products through all phases of the product lifecycle, from concept to sunset. The product management team embraces a market-backed perspective, champions unmet client needs, and is committed to a highly accountable and collaborative Product Management approach.
MMIT is seeking experienced Data Scientists to meaningful contributes to the growth and development of the MMIT product portfolio. Ideal candidates are comfortable working with large, complex data sets to help inform, simplify and actualize key product capabilities. They will have comfort collaborating with various stakeholders and navigating ambiguity with limited direction. They will dedicate themselves to understanding the MMIT product portfolio (both current capabilities and future product roadmaps) and key data dependencies to inform data models, architecture, and new product development.
To succeed in this role, you will apply your skillset to
Relevant Skills and Experiences
Preferred candidates may also have
All your information will be kept confidential according to EEO guidelines.
Position will be based in Livingston NJ or Yardley PA
(highly qualified remote applicants will be considered)
Travel Requirements:
Approximately < 10%
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