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Contract Data Scientist Risk Jobs in New Jersey (NOW HIRING)

The US Financial Crime Risk Modeling & Advanced Analytics team within US Financial Crime department ... We are seeking talented data scientists to join us to innovate, drive, and support initiatives and ...

Senior Data Scientist

Princeton, NJ · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As a Senior Data Scientist within Bristol Myers Squibb's AI Venture Studio delivery team, you will ... Assess model and agent outputs for quality, uncertainty, calibration, bias, hallucination risk ...

Contract We are looking for a dynamic and analytical Decision Scientist cum Consultant with a ... data products. This role requires someone who can seamlessly combine technical expertise with ...

Lead Data Scientist

New Brunswick, NJ · On-site +1

$140K - $160K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Data Science Job Category: Scientific/Technology All Job Posting Locations: New Brunswick, New ... risk associated in delivering products on time. Develop supply chain digital twin using graph ...

Lead Data Scientist

New Brunswick, NJ · On-site +1

$140K - $160K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Data Science Job Category: Scientific/Technology All Job Posting Locations: New Brunswick, New ... risk associated in delivering products on time. Develop supply chain digital twin using graph ...

Data Scientist - FCRM

Mount Laurel, NJ · On-site

$96K - $155K/yr

The Data Scientist III provides technical leadership across the overall Analytics function which ... Experience in Financial Crimes / Compliance Risk Analytics field * Experience in generating data ...

Contract About the Role: We looking for a dynamic and analytical Decision Scientist cum Consultant ... Develop predictive models and data-driven strategies to solve business challenges. 4. Consultation ...

Lead Data Scientist

Woodcliff Lake, NJ · On-site

$181.71 - $201.30/hr

... risk, and P&L; lead the preparation, documentation, and review of standard operating procedures and protocols for data science and analytical models, as well as required system documentation; define ...

Lead Data Scientist

Woodcliff Lake, NJ · On-site

$181K - $201K/yr

... risk, and P&L; lead the preparation, documentation, and review of standard operating procedures and protocols for data science and analytical models, as well as required system documentation; define ...

Senior Data Scientist Summary: We are seeking a seasoned Senior Data Scientist with overall 10-12 ... contracts.Incorporate and operationalize defined ML pipelines with MLOps practices: model ...

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Contract Data Scientist Risk information

What is a contract data scientist risk?

Contract Data Scientist Risk jobs involve analyzing large datasets to identify, assess, and model risks within an organization on a contract or temporary basis. These professionals use statistical techniques, machine learning, and data visualization to help companies make informed decisions about risk management. Their work often focuses on financial, operational, or compliance risks, and they typically collaborate with risk managers and other stakeholders. Contract roles offer flexibility and are often project-based, allowing companies to access specialized expertise when needed.

How does a contract data scientist risk typically collaborate with cross-functional teams within an organization?

As a Contract Data Scientist focused on risk, you’ll frequently work alongside risk analysts, compliance officers, IT professionals, and business managers to identify, assess, and mitigate potential threats to the organization. You’ll translate complex data models into actionable insights, present findings to non-technical stakeholders, and often participate in strategic meetings to align your analyses with business goals. Effective communication and teamwork are essential, as your models and recommendations directly influence decision-making across departments. This collaborative environment allows you to quickly gain exposure to different areas of the business and expand your professional network.

What are the key skills and qualifications needed to thrive as a contract data scientist risk, and why are they important?

To thrive as a Contract Data Scientist in Risk, you need strong analytical skills, proficiency in statistical modeling, and a solid background in mathematics or computer science, often supported by an advanced degree. Familiarity with programming languages like Python or R, expertise in machine learning libraries, and experience with risk modeling platforms or data visualization tools are typically required. Outstanding problem-solving abilities, attention to detail, and effective communication make someone stand out in this position. These skills and qualities are crucial for accurately identifying, assessing, and mitigating risks, enabling data-driven decision-making in dynamic business environments.

What are the most commonly searched types of Data Scientist Risk jobs in New Jersey?

The most popular types of Data Scientist Risk jobs in New Jersey are:

What cities in New Jersey are hiring for Contract Data Scientist Risk jobs?

Cities in New Jersey with the most Contract Data Scientist Risk job openings:

Infographic showing various Contract Data Scientist Risk job openings in New Jersey as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution.

Data Scientist / Pharma Manufacturing / Remote Work

Pioneer Data

Titusville, NJ • On-site

Contractor

Re-posted 25 days ago


Job description

Position Details:
Our client, a world-leading Pharmaceutical Company in Titusville, NJ is currently looking for a Data Scientist to join their expanding team.  
 
Job Title: Data Scientist / Pharma Manufacturing / Remote Work
Duration: 12 months contract, extendable up to 24 Months
Client Location: Titusville, NJ
 
Note:
The client has the right-to-hire you as a permanent employee at any time during or after the end of the contract.
You may participate in the company group medical insurance plan  
 
Job Description:
Position summary - Senior Scientist
 
Notes:
Role can be HYBRID or REMOTE, but must be in EST time zone, prefers the candidate lives in NJ or PA
Masters degree is required
Required experience with Python and SQL - REQUIRED
Must have MSAT or Manufacturing background
Will work on a major project, will help setup connections, and explore data analysis
Will research specific materials
Must be a critical thinker
Must be eager to learn
MUST HAVE PROGRAMMING AND CODING EXPERIENCE
Will help with coming up with unique ways to solve problems or obstacles
Must have hands on coding experience (versus using AI solutions)
 
Description:
MSAT Material Science is seeking a scientist to drive raw material quality and traceability initiatives that support regulatory compliance and dependable manufacturing outputs. 
This candidate will provide technical support to the MSAT Material Science team on a variety of deliverables critical to successful technical materials deliverables. 
This role will support a range of activities including investigations, specification development, material qualification, change control and technology transfer support, analytical method evaluation and data driven traceability efforts. 
The role will collaborate closely with Process, Planning, Manufacturing, Quality, Supply Chain/Procurement, Supplier Quality, and IT/data teams to improve raw material traceability, resolve material issues, and produce regulatory quality documentation.
Key responsibilities
Support the MSAT Material Science team on material related investigations and deviation analyses: gather and analyze manufacturing and analytical data, contribute to technical assessments, and help implement solutions as applicable.
Assist MSAT Material Science in developing and revising raw material specifications: draft language, define acceptance criteria, compile technical justification, compendial review and coordinate SME deliverables.
Support material qualification and requalification activities on behalf of the MSAT Material Science team: prepare qualification plans/protocols, coordinate testing with internal or external labs/vendors, analyze returned data, and draft qualification reports.
Provide technical input for change controls: prepare technical assessments, perform impact and risk evaluations, coordinate verification/validation activities, and compile evidence for closure.
Support technology transfer activities: prepare transfer documentation, align material requirements between development and manufacturing, and coordinate post transfer monitoring and follow up.
Contribute to material traceability and data mapping initiatives: work with Process, Planning, and IT/data teams to map raw material usage to manufacturing campaigns and produce actionable visualizations.
Interface with Supplier Quality and Procurement to support vendor qualification, incoming material review, sample evaluations, and supplier investigations.
Prepare and maintain regulatory grade documentation on behalf of MSAT Material Science: investigation summaries, specifications, test method rationales, SOPs, qualification packages, and technical reports.
Support audits and inspections by preparing evidence, supporting response to technical queries, and assisting in closure of material related findings under Quality oversight.
Communicate findings and recommendations to the MSAT Material Science team, cross functional partners, and leadership; present at technical meetings as required.
Mentor and guide junior staff, contractors, or interns on data review, documentation standards, and investigation best practices.
Qualifications
Advanced degree in Materials Science, Chemical Engineering, Chemistry, Polymer Science, or closely related discipline preferred; Master's with 3-5+ years experience. PhD with 0-3+ years experience.
Experience coordinating testing with external/internal analytical labs and interpreting lab reports.
Knowledge of GMP principles, validation strategies, and risk assessment methodologies (e.g., FMEA).
Familiarity with supplier qualification practices and vendor communications.
Demonstrated experience supporting material investigations, specification setting, qualification oversight, change control, and tech transfer in a regulated manufacturing environment (pharma, biotech, medical device, or related) preferred.
Strong data analysis skills and ability to synthesize manufacturing and analytical datasets to support root cause and risk assessments.
Proven technical writing skills for regulatory grade reports, specifications, and protocols.
Experience collaborating with Process, Planning, Manufacturing, Quality, Supply Chain/Procurement, Supplier Quality, and IT/data teams.
Familiarity with electronic quality systems (eQMS, LIMS), manufacturing systems (MES), SAP and common data tools (Excel, Python/R, JMP, or similar).
Prior industry experience in MSAT or material science support roles within regulated manufacturing preferred.