Data Scientist (W2 Only)
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Job Location:
New York City, NY - USA
Monthly Salary:
Not Disclosed
Posted on:
3 hours ago
Vacancies:
1 Vacancy
Job Summary
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
NS IT Solutions
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
NS IT Solutions
Required Skills:
AGILEAGILE ENVIRONMENTAIMLMODELINGDATA INFRASTRUCTURETABLEAUDATA SCIENCEMODEL DEVELOPMENTAWS
