Pay
$118K–$195K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,828 postings in the last year. Stated ranges, not salaries paid.
Morris Plains, NJ
Actively hiring, first seen by us 7 hours agoBuild and deliver hands-on analytical solutions, predictive models, and AI-powered tools.
Work with diverse pharmaceutical data sources, including APLD, LAAD, NPP/Omnichannel, Execution, and EHR datasets.
Develop and deploy new predictive models to address evolving business needs.
Key Responsibilities: Build and deliver hands-on analytical solutions, predictive models, and AI-powered tools. Work with diverse pharmaceutical data sources, including APLD, LAAD, NPP/Omnichannel, Execution, and EHR datasets.
Build and deliver hands-on analytical solutions, predictive models, and AI-powered tools. Work with diverse pharmaceutical data sources, including APLD, LAAD, NPP/Omnichannel, Execution, and EHR datasets. Refine, optimize, and accelerate existing predictive models to improve performance and business outcomes.
Refine, optimize, and accelerate existing predictive models to improve performance and business outcomes. Develop and deploy new predictive models to address evolving business needs. Translate complex data into actionable business insights and scalable analytical solutions.
Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$118K–$195K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,828 postings in the last year. Stated ranges, not salaries paid.
Day 0
Early. Similar jobs usually come down between day 8 and day 59.
From 11,556 similar postings that came down. Coming down is not always a hire.
13 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Experience working with pharmaceutical commercial data sources such as APLD, LAAD, NPP, Omnichannel, and EHR. - Proficiency in Python, R, SQL, and relevant machine learning techniques. - Ability to build solutions independently rather than just manage analytical teams.
Complete your application on kmkconsultinginc.applytojob.com. The employer’s form will show what is required.
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New Data Scientist postings at the employers we follow are down 4% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
We are looking for a hands-on Data Science professional with strong experience in building analytical solutions, developing AI tools, and enhancing predictive models.
Key Responsibilities:
Build and deliver hands-on analytical solutions, predictive models, and AI-powered tools.
Work with diverse pharmaceutical data sources, including APLD, LAAD, NPP/Omnichannel, Execution, and EHR datasets.
Refine, optimize, and accelerate existing predictive models to improve performance and business outcomes.
Develop and deploy new predictive models to address evolving business needs.
Translate complex data into actionable business insights and scalable analytical solutions.
Strong hands-on experience in Advanced Analytics, Predictive Modeling, and AI/ML.
Experience working with pharmaceutical commercial data sources such as APLD, LAAD, NPP, Omnichannel, and EHR.
Proficiency in Python, R, SQL, and relevant machine learning techniques.
Ability to build solutions independently rather than just manage analytical teams.
A hands-on analytics professional who combines pharmaceutical domain knowledge, strong technical capabilities, and practical AI/ML experience to enhance existing models and build new analytical solutions.
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Morris Plains, NJ
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.