Technologist, Data Engineering

Western Digital

3 - 6 years

20 - 25 Lacs

bengaluru

Posted:14 hours ago| Platform:

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Skills Required

computer science advanced analytics data science enterprise applications machine learning stakeholder management big data monitoring sql python

Work Mode

Work from Office

Job Type

Full Time

Job Description

We are seeking a highly experienced and visionary

Senior Data Scientist

at the

Technologist level

to lead strategic AI/ML and GenAI initiatives. This role demands deep technical expertise, leadership in complex projects, and a passion for innovation in data science and advanced analytics.

Key Responsibilities

Lead the
end-to-end data science lifecycle
: problem definition, data acquisition, model development, deployment, and monitoring.
Architect and implement
scalable AI/ML solutions
using modern frameworks, cloud platforms, and MLOps best practices.
Drive
GenAI initiatives
including fine-tuning, prompt engineering, and integration into enterprise applications.
Provide
strategic direction and thought leadership
on advanced analytics adoption across the business.
Mentor, coach, and upskill a team of data scientists and engineers; foster a culture of
innovation and collaboration
.
Partner with cross-functional teams (engineering, product, factory operations, IT) to translate business needs into data-driven solutions.
Ensure model
robustness, fairness, interpretability
, and compliance with ethical AI standards.
Design and oversee
experimentation frameworks
(A/B testing, causal inference, statistical modeling) for data-driven decision making.
Stay ahead of
emerging trends
in AI, ML, and big data technologies; evaluate their potential for business impact.
Present insights, models, and strategies to
senior leadership and non-technical stakeholders
in clear, actionable terms.

Qualifications

MS/ME/MTech/PhD in Data Science, Statistics, Computer Science, or related fields.
~15 years of experience in data science, AI/ML, or advanced analytics, including leadership in complex projects.
Proven expertise in:
Machine Learning, Deep Learning, and Statistical Modeling
Optimization techniques for solving complex, high-dimensional problems.
GenAI applications including architectures like RAG, fine-tuning, and LLMOps.
Synthetic data generation and handling highly imbalanced and high-volume datasets.
GenAI applications including architectures like RAG, fine-tuning, and LLMOps.
Experience with
anomaly detection, pretrained transformers
, and
custom embedding models
.
Strong proficiency in
Python and SQL
for data wrangling, analysis, and modeling.
Hands-on experience with
TensorFlow, PyTorch, Pyspark
, and related AI/ML frameworks.
Deep understanding of
Big Data platforms
(e.g., Spark, Hadoop, distributed databases, cloud data warehouses).
Experience in
MLOps
: model deployment, monitoring, versioning, and lifecycle management.
Strong knowledge of
data architecture, pipelines
, and feature engineering at scale.
Familiarity with
data visualization tools
: Tableau, Power BI, Matplotlib, Plotly.
Excellent communication and stakeholder management skills, with the ability to influence at senior levels.

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