

Akkodis
Data Scientist
โญ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist in Waltham, MA, for 9 months at $80-$85/hr. Requires 5+ years in software engineering, expertise in AI/ML systems, CI/CD, Kubernetes, and Python. Experience in biotech or pharmaceuticals is preferred.
๐ - Country
United States
๐ฑ - Currency
$ USD
-
๐ฐ - Day rate
680
-
๐๏ธ - Date
March 3, 2026
๐ - Duration
More than 6 months
-
๐๏ธ - Location
Hybrid
-
๐ - Contract
W2 Contractor
-
๐ - Security
Yes
-
๐ - Location detailed
Waltham, MA
-
๐ง - Skills detailed
#R #Azure #Agile #Data Science #Data Processing #ML (Machine Learning) #AWS (Amazon Web Services) #Deployment #Observability #AI (Artificial Intelligence) #API (Application Programming Interface) #Python #Data Engineering #Documentation #Scala #GitHub #Data Pipeline #Security #Cloud #Programming #GCP (Google Cloud Platform) #Computer Science #Kubernetes #Automated Testing
Role description
Akkodis is seeking a Data Scientist for a contract role with a client in Waltham, MA.
Duration: 9 Months
Location - Waltham, MA 02451 (Hybrid)
Pay Range: $80- $85/hr on W2 All Inclusive (The rate may be negotiable based on experience, education, geographic location, and other factors.)
MISSION STATEMENT
The Senior Systems Engineer - Production AI will join the mRNA Systems Engineering team to design, build, and operate production-grade systems based on AI and machine learning that accelerate mRNA vaccine research and development. Working in a highly agile, cross-functional environment at the interface of software engineering, AI/ML, and pharmaceutical sciences, the role contributes to building scalable digital products that bring predictive models into production and empower scientific users across Vaccines R&D.
KEY RESPONSIBILITIES
โข Design, develop, deploy, and operate production-grade AI/ML systems and data pipelines in an agile environment.
โข Build, maintain, and optimize CI/CD pipelines using GitHub Actions to enable automated testing and deployment.
โข Deploy and operate applications on Kubernetes using GitOps practices (e.g., ArgoCD).
โข Develop user-facing applications through APIs and/or graphical interfaces.
โข Deploy predictive models into production environments with a strong focus on reliability, scalability, and observability.
โข Build and optimize compute pipelines supporting data processing and model training.
โข Collaborate closely with data scientists, computational biologists, and vaccine researchers to translate scientific needs into robust digital solutions.
โข Actively participate in agile ceremonies and contribute to the continuous improvement of team practices.
โข Ensure high standards for code quality, documentation, and knowledge transfer.
โข Communicate complex technical concepts clearly to both technical and nontechnical stakeholders.
REQUIRED QUALIFICATIONS
Education:
โข Bachelor's degree or higher in Computer Science, Software Engineering, Data Science, or a related field. Advanced degrees are valued but not required.
Experience:
โข Minimum of 5 years of professional software engineering experience.
โข Demonstrated delivery of production-level systems with measurable impact.
โข Strong experience working in agile environments with a customer-oriented mindset.
โข Proven experience deploying and operating applications in production.
Technical Skills:
โข GitHub Actions and CI/CD pipeline implementation.
โข Kubernetes-based container orchestration.
โข GitOps practices (ArgoCD or equivalent).
โข Strong Python programming skills.
โข API and/or web application development.
โข Production deployment of machinelearning models and MLOps practices.
โข Familiarity with major cloud platforms (AWS, Azure, or GCP).
Language:
โข English: fluent (mandatory). French: nice to have.
PREFERRED QUALIFICATIONS
โข Experience in pharmaceutical, biotechnology, or life sciences environments.
โข Awareness of drug discovery, vaccine development, or experimental sciences.
โข Experience with workflow orchestration tools such as Metaflow.
โข Experience in mentoring or technical training.
โข Contributions to opensource or technical communities.
โข Experience designing scalable data engineering solutions.
WHAT WERE YOU LOOKING FOR
Sanofi values demonstrated impact, collaboration, and scientific curiosity. For the right candidate, depth of expertise and delivery track record are more important than the number of years of experience. The ideal candidate is a strong collaborator, comfortable working with scientific users, and motivated to build impactful digital products that advance mRNA vaccine development.
Equal Opportunity Employer/Veterans/Disabled
Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, an 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. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs that are direct hires to a client.
To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit https://www.akkodis.com/en/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:
ยท The California Fair Chance Act
ยท Los Angeles City Fair Chance Ordinance
ยท Los Angeles County Fair Chance Ordinance for Employers
ยท San Francisco Fair Chance Ordinance
Akkodis is seeking a Data Scientist for a contract role with a client in Waltham, MA.
Duration: 9 Months
Location - Waltham, MA 02451 (Hybrid)
Pay Range: $80- $85/hr on W2 All Inclusive (The rate may be negotiable based on experience, education, geographic location, and other factors.)
MISSION STATEMENT
The Senior Systems Engineer - Production AI will join the mRNA Systems Engineering team to design, build, and operate production-grade systems based on AI and machine learning that accelerate mRNA vaccine research and development. Working in a highly agile, cross-functional environment at the interface of software engineering, AI/ML, and pharmaceutical sciences, the role contributes to building scalable digital products that bring predictive models into production and empower scientific users across Vaccines R&D.
KEY RESPONSIBILITIES
โข Design, develop, deploy, and operate production-grade AI/ML systems and data pipelines in an agile environment.
โข Build, maintain, and optimize CI/CD pipelines using GitHub Actions to enable automated testing and deployment.
โข Deploy and operate applications on Kubernetes using GitOps practices (e.g., ArgoCD).
โข Develop user-facing applications through APIs and/or graphical interfaces.
โข Deploy predictive models into production environments with a strong focus on reliability, scalability, and observability.
โข Build and optimize compute pipelines supporting data processing and model training.
โข Collaborate closely with data scientists, computational biologists, and vaccine researchers to translate scientific needs into robust digital solutions.
โข Actively participate in agile ceremonies and contribute to the continuous improvement of team practices.
โข Ensure high standards for code quality, documentation, and knowledge transfer.
โข Communicate complex technical concepts clearly to both technical and nontechnical stakeholders.
REQUIRED QUALIFICATIONS
Education:
โข Bachelor's degree or higher in Computer Science, Software Engineering, Data Science, or a related field. Advanced degrees are valued but not required.
Experience:
โข Minimum of 5 years of professional software engineering experience.
โข Demonstrated delivery of production-level systems with measurable impact.
โข Strong experience working in agile environments with a customer-oriented mindset.
โข Proven experience deploying and operating applications in production.
Technical Skills:
โข GitHub Actions and CI/CD pipeline implementation.
โข Kubernetes-based container orchestration.
โข GitOps practices (ArgoCD or equivalent).
โข Strong Python programming skills.
โข API and/or web application development.
โข Production deployment of machinelearning models and MLOps practices.
โข Familiarity with major cloud platforms (AWS, Azure, or GCP).
Language:
โข English: fluent (mandatory). French: nice to have.
PREFERRED QUALIFICATIONS
โข Experience in pharmaceutical, biotechnology, or life sciences environments.
โข Awareness of drug discovery, vaccine development, or experimental sciences.
โข Experience with workflow orchestration tools such as Metaflow.
โข Experience in mentoring or technical training.
โข Contributions to opensource or technical communities.
โข Experience designing scalable data engineering solutions.
WHAT WERE YOU LOOKING FOR
Sanofi values demonstrated impact, collaboration, and scientific curiosity. For the right candidate, depth of expertise and delivery track record are more important than the number of years of experience. The ideal candidate is a strong collaborator, comfortable working with scientific users, and motivated to build impactful digital products that advance mRNA vaccine development.
Equal Opportunity Employer/Veterans/Disabled
Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, an 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. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs that are direct hires to a client.
To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit https://www.akkodis.com/en/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:
ยท The California Fair Chance Act
ยท Los Angeles City Fair Chance Ordinance
ยท Los Angeles County Fair Chance Ordinance for Employers
ยท San Francisco Fair Chance Ordinance






