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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%
Full Time
Investment Management
$110k-135k (estimate)
03/07/2023
06/13/2024
The job skills required for Data Scientist include Analysis, Data Science, Machine Learning, Computer Science, Programming, Futures, etc. Having related job skills and expertise will give you an advantage when applying to be a Data Scientist. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Data Scientist. Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for Data Scientist positions, which can be used as a reference in future career path planning. As a Data Scientist, it can be promoted into senior positions as a Data Scientist IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Scientist. You can explore the career advancement for a Data Scientist below and select your interested title to get hiring information.
If you are interested in becoming a Data Scientist, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Scientist for your reference.
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Quotes from people on Data Scientist job description and responsibilities
Data scientists work closely with business stakeholders to understand their goals and determine how data can be used to achieve those goals.
12/22/2021: Dallas, TX
Data scientists are meant to use their technology and social science skills to develop different trends and manage data wisely.
02/17/2022: Lompoc, CA
A data scientist develops software to structure the raw data.
02/16/2022: Lansing, MI
Data scientist will need to meet with their business stakeholders early and often to ensure that they are on the same page about the goals and deliverables of the project.
02/12/2022: San Diego, CA
Data scientists may spend some of their time working on ad hoc data requests, but these types of requests should only take up a small portion of their time.
02/01/2022: Peoria, IL
Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.
Career tips from people on Data Scientist jobs
Analyzing data from multiple angles and searching for trends that could reveal problems or opportunities.
01/31/2022: Passaic, NJ
Data scientists lay a solid foundation to help perform all kinds of analysis.
01/31/2022: Champaign, IL
Data scientists are also expected to have stronger software engineering skills that data analysts.
02/19/2022: Springfield, OR
Business analysts are focused on reporting, just like data analysts.
02/04/2022: Jamestown, NY
A data scientist should understand the assumptions that need to be met for each statistical test.
03/04/2022: Hialeah, FL
Step 3: View the best colleges and universities for Data Scientist.