ADN Group
Data Scientist (W2 Only)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist (W2 Only) in New York, NY, for 12+ months, onsite. Required skills include AI/ML, GenAI, AWS, Databricks, and Tableau. Experience in HR is a plus; local US citizens only.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
March 27, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
New York, NY
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🧠 - Skills detailed
#Data Pipeline #AI (Artificial Intelligence) #Deployment #Tableau #Databricks #S3 (Amazon Simple Storage Service) #Data Engineering #Data Science #ML (Machine Learning) #Model Validation #Data Analysis #AWS (Amazon Web Services) #Scala #Cloud #Agile #Databases
Role description
Job Title: Data Scientist (W2 Only)
Location: New York, NY, 10112
Work Type: Onsite Role
Duration: 12+ Months
NOTE: Only Local Candidates || US Citizens
Primary Skills: Data Scientist, AI/ML, GenAI, Data Assist, AWS, Databricks, Agile, S3, Tableau
Job Summary:
This role involves building and delivering advanced data science and AI/ML solutions in an agile environment, with a focus on rapid iteration and business impact.
The Data Science Lead will drive end-to-end model development, including propensity modeling and integration with data engineering pipelines, while leveraging GenAI to accelerate outcomes.
Supporting roles include Data Scientists and Data Engineers who will collaborate to build models, manage data pipelines, and ensure scalable data infrastructure.
Experience in the HR domain is a plus.
Job Responsibilities
Lead end-to-end data science projects using agile and iterative approaches.
Develop and deploy AI/ML models, including propensity modeling.
Drive data engineering requirements to support model development and optimization.
Leverage GenAI/Data Assist tools to accelerate data science workflows.
Collaborate with stakeholders to align models with business outcomes.
Build and refine machine learning models under guidance.
Perform data analysis, feature engineering, and model validation.
Support deployment and testing of AI/ML solutions.
Minimum Requirements:, Tableau
Data Science Lead (SC or M level) - should have experience leading data science project with rapid iterations in an agile manner.
Should have experience developing AI/ML propensity modeling experience and in driving data engineering to support the model development and refinement.
Driving the use of Data Assist or GenAI to accelerate the project would be great. Experience in HR domain would be ideal!
Data Science Support (SC or C level) - Should have AI/ML experience and be able to take direction and develop model as part of a team
Data engineer (C level) - should have experience building pipelines in AWS and cloud databases. Structured and unstructured data sets.
Loading of data into S3 as well as tabular schemas.
Databricks experience preferred.
Vishal (Victor) Verma | Assistant Manager
vishal@nsitsolutions.com
NS IT Solutions
www.nsitsolutions.com
Job Title: Data Scientist (W2 Only)
Location: New York, NY, 10112
Work Type: Onsite Role
Duration: 12+ Months
NOTE: Only Local Candidates || US Citizens
Primary Skills: Data Scientist, AI/ML, GenAI, Data Assist, AWS, Databricks, Agile, S3, Tableau
Job Summary:
This role involves building and delivering advanced data science and AI/ML solutions in an agile environment, with a focus on rapid iteration and business impact.
The Data Science Lead will drive end-to-end model development, including propensity modeling and integration with data engineering pipelines, while leveraging GenAI to accelerate outcomes.
Supporting roles include Data Scientists and Data Engineers who will collaborate to build models, manage data pipelines, and ensure scalable data infrastructure.
Experience in the HR domain is a plus.
Job Responsibilities
Lead end-to-end data science projects using agile and iterative approaches.
Develop and deploy AI/ML models, including propensity modeling.
Drive data engineering requirements to support model development and optimization.
Leverage GenAI/Data Assist tools to accelerate data science workflows.
Collaborate with stakeholders to align models with business outcomes.
Build and refine machine learning models under guidance.
Perform data analysis, feature engineering, and model validation.
Support deployment and testing of AI/ML solutions.
Minimum Requirements:, Tableau
Data Science Lead (SC or M level) - should have experience leading data science project with rapid iterations in an agile manner.
Should have experience developing AI/ML propensity modeling experience and in driving data engineering to support the model development and refinement.
Driving the use of Data Assist or GenAI to accelerate the project would be great. Experience in HR domain would be ideal!
Data Science Support (SC or C level) - Should have AI/ML experience and be able to take direction and develop model as part of a team
Data engineer (C level) - should have experience building pipelines in AWS and cloud databases. Structured and unstructured data sets.
Loading of data into S3 as well as tabular schemas.
Databricks experience preferred.
Vishal (Victor) Verma | Assistant Manager
vishal@nsitsolutions.com
NS IT Solutions
www.nsitsolutions.com
