

JSR Tech Consulting
Senior Data Scientist
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Scientist on a contract-to-hire basis, hybrid in Newark, NJ, with a pay rate up to $65/hr on W2. Requires an advanced degree, strong ML/NLP skills, and experience with data pipelines and customer experience data.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
-
ποΈ - Date
January 12, 2026
π - Duration
Unknown
-
ποΈ - Location
Hybrid
-
π - Contract
W2 Contractor
-
π - Security
Unknown
-
π - Location detailed
Newark, NJ
-
π§ - Skills detailed
#Cloud #Data Science #Data Engineering #Statistics #ML (Machine Learning) #Programming #R #MLflow #Visualization #Python #Jenkins #NoSQL #Data Wrangling #SQL (Structured Query Language) #Model Deployment #AWS (Amazon Web Services) #Data Pipeline #Datasets #Cloudbees #"ETL (Extract #Transform #Load)" #SageMaker #Mathematics #Data Analysis #A/B Testing #Computer Science #Leadership #Scala #Database Management #Java #Time Series #Graph Databases #AWS SageMaker #Deployment #NLP (Natural Language Processing) #Databases
Role description
Senior Data Scientist
Contract Type: Contract to Hire
Location: Hybrid (3 days/week onsite in Newark, NJ)
W2 only. No C2C.
Pay rate: up to $65hr on W2.
What Youβll Do:
β’ Develop advanced data science solutions as defined by the Director, Data Science
β’ Perform hands-on data analysis, model development, training, testing, and deployment
β’ Research and apply new methods, algorithms, and modeling techniques
β’ Write production-ready code and work with ML engineers to deploy models
β’ Collaborate with data engineers to build robust data pipelines and integrate solutions with business platforms
β’ Support model development for customer engagement and wellness initiatives
β’ Manage external vendors involved in the data science development process
What Youβll Bring:
β’ Advanced degree (Masterβs or Ph.D.) in a quantitative discipline: Mathematics, Statistics, Physics, Engineering, Computer Science, Econometrics, Actuarial Science, or related fields
β’ Experience solving complex problems and applying judgment in dynamic environments
β’ Strong business acumen and ability to translate data into actionable insights
β’ Familiarity with designing experiments (e.g., A/B testing), working with claims or customer experience data
β’ A background in behavioral science (preferred but not required)
β’ Excellent communication, collaboration, and problem-solving skills
β’ Self-driven, with a strong focus on continuous learning
Technical Skills:
Applied Experience With:
β’ Data Acquisition & Transformation:
β’ Working with APIs, SQL, NoSQL
β’ Data visualization using Python, R, etc.
β’ Database Management:
β’ Relational (SQL) and unstructured (NoSQL) databases
β’ Graph databases (Cypher/GraphDB)
β’ Model Deployment:
β’ MDLC, CI/CD/CT pipelines (Jenkins, CloudBees, Harness, etc.)
β’ ML pipeline frameworks (MLFlow, AWS SageMaker)
β’ Statistics & Computing:
β’ Deep knowledge of statistics, probability, linear algebra, time series analysis, and experimentation
β’ Data Wrangling & Preparation:
β’ Processing large structured and unstructured datasets
β’ Machine Learning & NLP:
β’ Strong understanding of ML algorithms, theory, and real-world application
β’ Experience in natural language processing
β’ Programming Languages:
β’ Python, R, SQL, Java or Scala, Cypher
Why Youβll Love Working Here:
Youβll join a culture where your voice is heard, your work has purpose, and your career can thrive. At this rock-solid organization, youβll have access to continuous learning, leadership development, and the opportunity to shape high-impact projects that make a difference in the lives of millions.
Senior Data Scientist
Contract Type: Contract to Hire
Location: Hybrid (3 days/week onsite in Newark, NJ)
W2 only. No C2C.
Pay rate: up to $65hr on W2.
What Youβll Do:
β’ Develop advanced data science solutions as defined by the Director, Data Science
β’ Perform hands-on data analysis, model development, training, testing, and deployment
β’ Research and apply new methods, algorithms, and modeling techniques
β’ Write production-ready code and work with ML engineers to deploy models
β’ Collaborate with data engineers to build robust data pipelines and integrate solutions with business platforms
β’ Support model development for customer engagement and wellness initiatives
β’ Manage external vendors involved in the data science development process
What Youβll Bring:
β’ Advanced degree (Masterβs or Ph.D.) in a quantitative discipline: Mathematics, Statistics, Physics, Engineering, Computer Science, Econometrics, Actuarial Science, or related fields
β’ Experience solving complex problems and applying judgment in dynamic environments
β’ Strong business acumen and ability to translate data into actionable insights
β’ Familiarity with designing experiments (e.g., A/B testing), working with claims or customer experience data
β’ A background in behavioral science (preferred but not required)
β’ Excellent communication, collaboration, and problem-solving skills
β’ Self-driven, with a strong focus on continuous learning
Technical Skills:
Applied Experience With:
β’ Data Acquisition & Transformation:
β’ Working with APIs, SQL, NoSQL
β’ Data visualization using Python, R, etc.
β’ Database Management:
β’ Relational (SQL) and unstructured (NoSQL) databases
β’ Graph databases (Cypher/GraphDB)
β’ Model Deployment:
β’ MDLC, CI/CD/CT pipelines (Jenkins, CloudBees, Harness, etc.)
β’ ML pipeline frameworks (MLFlow, AWS SageMaker)
β’ Statistics & Computing:
β’ Deep knowledge of statistics, probability, linear algebra, time series analysis, and experimentation
β’ Data Wrangling & Preparation:
β’ Processing large structured and unstructured datasets
β’ Machine Learning & NLP:
β’ Strong understanding of ML algorithms, theory, and real-world application
β’ Experience in natural language processing
β’ Programming Languages:
β’ Python, R, SQL, Java or Scala, Cypher
Why Youβll Love Working Here:
Youβll join a culture where your voice is heard, your work has purpose, and your career can thrive. At this rock-solid organization, youβll have access to continuous learning, leadership development, and the opportunity to shape high-impact projects that make a difference in the lives of millions.






