Open 3 monthsWe first saw this posting 105 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
Status in our records
Live
First seen by us
Jul 31, 2026105 days ago
Recorded sightings
98
Last seen by us
Nov 13, 2026
Jul 31, 2026today
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 105
860
Up longer than most. Similar jobs usually come down between day 8 and day 60.
Well past ProcDNA’s usual: its jobs come down by about day 21.
From 11,783 similar postings that came down, and 5 of ProcDNA’s. Coming down is not always a hire.
ProcDNA is hiring
24 open jobs
Open jobs by the week we first saw them, last 12 weeks.
New Data Scientist postings at the employers we follow are down 4% over the last 6 weeks compared with the 6 before.
August 17Last week
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.
About the role
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.
About the Role We are seeking an experienced Marketing Mix Modeling (MMM) Analyst/Senior Analyst with a strong background in pharmaceutical and life sciences analytics. The ideal candidate will have hands-on experience in developing, interpreting, and delivering Marketing Mix Models for pharmaceutical clients and be comfortable working in a consulting environment.
Key Responsibilities:
Develop and execute Marketing Mix Models (MMM) for pharmaceutical/lifesciences brands in US.
Prepare and integrate sales, promotional, media, and market datasets for modeling.
Perform data transformations such as adstock, saturation, lag creation, normalization, and feature engineering.
Build, validate, and interpret regression-based MMM models.
Analyze marketing channel effectiveness, ROI, incremental sales, and promotional response.
Generate actionable recommendations for budget allocation and channel optimization.
Develop client-ready presentations and communicate insights to stakeholders.
Collaborate with consulting, data engineering, and commercial strategy teams throughout project delivery.
Required Qualifications
2–3 years of hands-on experience in Marketing Mix Modeling (MMM).
Mandatory experience in pharmaceutical and life sciences analytics, with exposure to commercial analytics and Marketing Mix Modeling engagements.
Strong understanding of:
Marketing Mix Modeling methodology
Regression modeling
Adstock and saturation techniques
ROI and contribution analysis
Model diagnostics and validation
Budget optimization, pathway modelling and synergy analysis
Experience working with HCP promotion, DTC media, digital marketing, and omnichannel promotional data.
Excellent analytical and problem-solving skills.
Technical Skills
Proficiency in Python.
Strong SQL skills.
Advanced Excel and PowerPoint.
Experience with statistical techniques including:
Linear Regression
Ridge/Lasso Regression
Bayesian Regression
Multicollinearity assessment
Time-series data preparation
Model validation
Preferred Candidate Profile
Experience delivering Marketing Mix Modelling projects for pharmaceutical clients.
Ability to independently execute end-to-end MMM engagements.
Strong communication, presentation, and stakeholder management skills.
Comfortable working in a fast-paced consulting environment.