[NJ] Engagement Lead - Analytics
Princeton, NJ
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingDrive end-to-end data science projects, from problem framing to model validation
Build reusable accelerators and internal ML and AI products
Set and enforce standards for rigor, documentation, and reproducibility
Lead client discussions and presentations of technical results
Partner with data and engineering teams to operationalize outputs and pipelines
From the employer’s posting
Drive end-to-end data science projects, including problem framing, exploratory data analysis, feature development, and model development and validation
Build internal product offerings and reusable accelerators, such as packaged modeling workflows and internal ML and AI products.
Set and enforce standards for rigor, documentation, and reproducibility across the workstream
Lead client discussions and presentations, translating technical results into clear business wins.
Partner with data and engineering teams as needed to operationalize outputs, including repeatable pipelines, handoffs, and monitoring considerations
What you’ll bring
All qualificationsCore experience
- 5-7 years of experience in data science, advanced analytics and applied ML
- Expertise in SQL and relational datasets
- Extensive Python or R for analysis and modeling
- Strong applied statistics and ML/AI modeling experience
Qualification wording
5-7 years of relevant experience in data science with a focus on advanced analytics and applied ML.
Expertise in SQL and strong fluency with relational datasets.
Extensive Python or R experience for analysis and modeling.
Strong applied Statistical foundation for building and evaluating models
Tools in this posting
- Python
- R
- SQL
Source — Tool mentions in context
- Strong experience with ML and AI modeling concepts and practical application across multiple projects. Expertise in SQL and strong fluency with relational datasets. - Extensive Python or R experience for analysis and modeling. - Excellent communication skills, verbal and written, with strong client-facing presence.
- Strong applied Statistical foundation for building and evaluating models - Strong experience with ML and AI modeling concepts and practical application across multiple projects. Expertise in SQL and strong fluency with relational datasets. - Extensive Python or R experience for analysis and modeling.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 19, 2026 · 35 days ago
- Recorded sightings
- 48
- Last seen by us
- Oct 24, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
Complete your application on procdna.applytojob.com. The employer’s form will show what is required.
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Job description
About ProcDNA
ProcDNA is a global rocket ship in life sciences consulting. We fuse design thinking with cutting-edge tech to create game-changing Commercial Analytics and Technology solutions for our clients. We're a passionate team of 450+ across 9 offices, all growing and learning together since our launch during the pandemic. Here, you won't be stuck in a cubicle - you'll be out in the open water, shaping the future with brilliant minds. Ready to join our epic growth journey?
What we are looking for
ProcDNA is seeking a Data Scientist to join our team. The ideal candidate brings deep experience leading advanced analytics and machine learning work in the pharma industry and can translate complex business problems into clear analytical strategies. You are comfortable owning end-to-end delivery, leading client conversations, mentoring teams, and shaping internal product offerings that can be scaled across engagements.
What you will do
ProcDNA is a global rocket ship in life sciences consulting. We fuse design thinking with cutting-edge tech to create game-changing Commercial Analytics and Technology solutions for our clients. We're a passionate team of 450+ across 9 offices, all growing and learning together since our launch during the pandemic. Here, you won't be stuck in a cubicle - you'll be out in the open water, shaping the future with brilliant minds. Ready to join our epic growth journey?
What we are looking for
ProcDNA is seeking a Data Scientist to join our team. The ideal candidate brings deep experience leading advanced analytics and machine learning work in the pharma industry and can translate complex business problems into clear analytical strategies. You are comfortable owning end-to-end delivery, leading client conversations, mentoring teams, and shaping internal product offerings that can be scaled across engagements.
What you will do
- Drive end-to-end data science projects, including problem framing, exploratory data analysis, feature development, and model development and validation, taking lead on approach decisions and tradeoffs.
- Build internal product offerings and reusable accelerators, such as packaged modeling workflows and internal ML and AI products.
- Set and enforce standards for rigor, documentation, and reproducibility across the workstream, ensuring outputs are audit-ready and client-ready
- Lead client discussions and presentations, translating technical results into clear business wins.
- Partner with data and engineering teams as needed to operationalize outputs, including repeatable pipelines, handoffs, and monitoring considerations
- Master’s degree or higher in a quantitative field with a strong academic record.
- 5-7 years of relevant experience in data science with a focus on advanced analytics and applied ML.
- Strong applied Statistical foundation for building and evaluating models
- Strong experience with ML and AI modeling concepts and practical application across multiple projects. Expertise in SQL and strong fluency with relational datasets.
- Extensive Python or R experience for analysis and modeling.
- Excellent communication skills, verbal and written, with strong client-facing presence.
- Strong problem-solving mindset, detail orientation, and ability to independently manage dynamic, multi stakeholder workstreams.
Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Princeton, NJ
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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