Data Scientist

Akkodis group; Morristown (NJ); Remote; USD 100,000 - 125,000; Full time

Job summary

Akkodis is seeking a Data Scientist for a contract position in Morristown, NJ, focusing on AI/ML solutions to improve patient outcomes. This role involves leading the design of federated learning systems and developing predictive models. Candidates should have an advanced degree and significant experience in data management and statistical modeling.

Benefits

Medical insurance

Dental insurance

Vision insurance

Life insurance

Short-term disability

Commuter benefits

401K plan

Qualifications

• Minimum 5 years in data management and statistical modeling.
• At least 2 years in AI/ML solution development.
• Experience developing and deploying ML models in production.

Responsibilities

• Lead the development of AI/ML solutions to enhance digital health platforms.
• Design federated data management systems for secure data use.
• Build predictive models to analyze complex healthcare datasets.

Skills

Machine Learning

Statistical Modeling

Data Management

Predictive Analysis

Education

MS or PhD in Computer Science, Statistics, Applied Mathematics, or related field

Tools

Python

R

TensorFlow

PyTorch

Job description

Akkodis is seeking a Data Scientist for a Contract job with a client in Morristown, NJ(Remote). You will lead the design of federated learning systems and predictive models to drive personalized care and improve patient outcomes.

Rate Range: $75/hour to $79/hour; The rate may be negotiable based on experience, education, geographic location, and other factors.

Data Scientist job responsibilities include:

• Lead the development of AI/ML and generative AI solutions to enhance digital health platforms and improve patient outcomes.

• Design and implement federated data management and learning systems to ensure secure, scalable, and privacy-preserving data use.

• Build predictive models and apply advanced statistical techniques to analyze complex healthcare datasets, including clinical and behavioral data.

• Develop robust data engineering pipelines to ensure data quality, governance, and interoperability across systems.

• Collaborate with cross-functional teams to integrate intelligent features into patient- and caregiver-facing digital tools.

• Continuously evaluate and validate machine learning models to ensure clinical relevance, scalability, and performance.

Desired Qualifications:

• Advanced degree (MS or PhD) in Computer Science, Statistics, Applied Mathematics, Biostatistics, or a related field.

• Minimum of 5 years in data management and statistical modeling, with at least 2 years in AI/ML solution development.

• Proven experience developing and deploying machine learning models in production environments using Python, R, TensorFlow, or PyTorch.

• Strong understanding of healthcare data standards, privacy regulations, and experience working with clinical and non-clinical healthcare datasets.

If you are interested in this role, then please click APPLY NOW. For other opportunities available at Akkodis, or any questions, feel free to contact me at [e-mail]

Pay Details: $75.00 to $79.00 per hour

Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, EAP program, commuter benefits and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable.

Equal Opportunity Employer/Veterans/Disabled

To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to https://www.akkodis.com/en/us/candidate-privacy-policy

The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:

• The California Fair Chance Act
• Los Angeles City Fair Chance Ordinance
• Los Angeles County Fair Chance Ordinance for Employers
• San Francisco Fair Chance Ordinance