What are the responsibilities and job description for the Data Scientist | 2026PX04003 | DLTJP00054289|DELO-48994 position at Mindverse Consulting Services?
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