We are looking for a Data Science Lead along with Data
Science and Data Engineering support roles to build and deliver advanced AI/ML
and data science solutions in a fast‑paced, agile environment. This role
focuses on rapid iteration, business impact, and end‑to‑end model development,
including propensity modeling and close integration with data engineering
pipelines. Leveraging GenAI and data assist tools to accelerate outcomes is a
key part of this role. Experience in the HR domain is a strong plus.

Responsibilities

• 
  Lead
  end‑to‑end data science initiatives using agile and iterative delivery
  models
• 
  Design,
  develop, and deploy AI/ML models, including propensity models, aligned to
  business outcomes
• 
  Drive
  and define data engineering requirements to support model development,
  optimization, and scalability
• 
  Leverage
  GenAI / Data Assist tools to accelerate data exploration, modeling, and
  experimentation
• 
  Collaborate
  with business and technical stakeholders to ensure models deliver
  measurable impact
• 
  Perform
  data analysis, feature engineering, model training, validation, and
  refinement
• 
  Support
  testing, deployment, and monitoring of AI/ML solutions in production
  environments
• 
  Work
  closely with data scientists and data engineers to ensure seamless handoff
  and integration

Requirements

Data Science Lead (SC / M Level)

• 
  Proven
  experience leading data science projects with rapid iterations in an agile
  setup
• 
  Strong
  hands‑on experience in AI/ML model development, especially propensity
  modeling
• 
  Ability
  to drive and influence data engineering workstreams to support model
  development and refinement
• 
  Experience
  leveraging GenAI or Data Assist tools to accelerate data science workflows
  is highly desirable
• 
  Prior
  experience in the HR domain is a strong advantage

Data Science Support (SC / C Level)

• 
  Solid
  foundation in AI/ML techniques and applied data science
• 
  Ability
  to follow technical direction and contribute to model development as part
  of a team
• 
  Experience
  in data analysis, feature engineering, and model validation

Data Engineer (C Level)

• 
  Experience
  building and maintaining data pipelines on AWS
• 
  Strong
  knowledge of cloud databases, structured and unstructured datasets
• 
  Hands‑on
  experience loading data into S3 and working with tabular schemas
• 
  Databricks
  experience preferred

Work Timing

EST, New York City, New York

Hours per week

40

Duration of Contract

10 Months

Application Process

Please visit
Jobs
at Mindverse Consulting Services Private Limited
and locate the
applicable job title. Read the JD in details and Click "I'm
Interested" and fill out accordingly.

Attach your CV and any other document you deem fit along
with the "Screening Questions" which is mandatory. Please be specific
and detailed. Note these questions are from the custom to evaluate your
candidature.

Any vague or inconclusive answer will not be considered.

Incase of any query, feel free to reach out to
career@mindverseconsulting.com