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TuTeck Technologies
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Lead Data Scientist – AI/ML & Business Intelligence

Lead Data Scientist – AI/ML & Business Intelligence

TuTeck Technologies

10 years

0 Lacs

kolkata metropolitan area west bengal india

Posted:3 days ago| Platform:

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Skills Required

data ai ml analytics strategy design development architecture optimization model deployment database nosql etl workflow integration hadoop hive drive reporting service tableau power engineering sql tuning processing visualization logic management communication aws azure gcp redshift databricks containerization docker kubernetes analysis

Work Mode

On-site

Job Type

Full Time

Job Description

Job Title:

Location:

Job Type:

Notice Period

Role Summary

The Senior Data Science & Advanced Analytics Leader will be responsible for driving data strategy, leading the design and development of scalable data solutions, and enabling AI/ML-driven decision-making across the organization. This role requires a proven leader who can oversee the end-to-end development lifecycle, manage high-performing teams, and collaborate closely with cross-functional stakeholders to enable data-driven product innovation and business impact.

Key Responsibilities

Lead the
end-to-end architecture, development, and optimization of scalable data pipelines
supporting AI/ML model deployment and analytics use cases.
Oversee
Database and NoSQL data platforms (8–10+ years)
including schema design, performance optimization, and data modeling for transactional and analytical workloads.
Provide strong expertise in
ETL/ELT workflow orchestration
, data integration, and quality frameworks.
Hands-on experience working with
Hadoop, Hive, and broader big data ecosystems
for large-scale, high-volume data processing.
Drive the delivery of
executive-level reporting, real-time dashboards, and self-service BI solutions
, using tools such as
Tableau or Power BI
.
Define and execute
product analytics strategy
, enabling insights that power product direction and customer engagement.
Lead
AI-based feature development
from ideation to production-scale rollout.
Collaborate with engineering, product, business, and customer stakeholders to transform business objectives into measurable, data-driven outcomes.
Mentor and manage data engineers, BI developers, and data scientists, fostering a high-performance culture.

Required Qualifications

10+ years of professional experience in
Data Science, Advanced Analytics, or Business Intelligence
.
Minimum 4+ years leading and managing high-performing data/analytics teams.
Proven experience with
SQL/NoSQL databases
, schema design, performance tuning, and optimization.
Strong working knowledge of
Hadoop, Hive, and big data processing frameworks
.
Demonstrated proficiency with
Tableau or Power BI
for rich data visualization and analytics.
Deep understanding of
ETL processes
, data transformation logic, and workflow management tools.
Experience deploying AI/ML-driven analytics solutions at scale.
Excellent communication and stakeholder management skills.

Preferred Skills

Cloud experience (AWS, Azure, GCP – Data Factory, Redshift, Databricks, BigQuery, or equivalent).
Experience with MLOps or DataOps frameworks.
Familiarity with containerization and CI/CD (Docker, Kubernetes, Jenkins).
Knowledge of statistical analysis, predictive modeling, and feature engineering.

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