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Data Scientist

Job in Bengaluru, 560001, Bangalore, Karnataka, India
Listing for: Integers.Ai
Full Time position
Listed on 2026-03-15
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, Data Scientist
Job Description & How to Apply Below
Position: Staff Data Scientist
Location: Bengaluru

Job Description:

Staff Data Scientist

· Role:  Staff Data Scientist

·

Job Location:

Bangalore

· Word Mode:  Hybrid

·

Experience:

12+ years

About the Role   We are looking for a dynamic, experienced, and versatile Staff Data Scientist to be part of client’s global platform and applications development team in the Technology group. The purpose of this role is to develop, sustain and enhance the architecture of client’s cloud (and on-premise) based platform and its applications.
The data scientist will assume a role of significant leadership on a team that is responsible for planning, executing and delivering novel projects as client incorporates advanced analytics and machine learning throughout our products and services, with a current emphasis on developing predictive diagnostics for industrial equipment. The role brings the capabilities of solution architecture and design using latest tech stack and in house developed platform.

He/she applies extensive technical expertise and has full knowledge of other related disciplines. This role requires the data scientist to be a hands-on software developer.

Key Responsibilities :

· Work on a team designing innovative software and algorithms to solve real-world problems in industrial processes. Use machine learning techniques, statistical tests, classical algorithms, and physically-motivated models as appropriate

· Perform in-depth exploratory analysis of data from the field and laboratory experiments

· Acquire domain knowledge about mechanical systems to aid in interpretation, analysis, and model building. Display drive and curiosity to understand the business to its core

· Develop applications according to requirements using a variety AI/ML and analytical techniques

· Maintain and update the analytics software platform (Python)

· Establish best practices around AI/ML production infrastructure, including building robust data pipelines and implementing MLops

· Keep abreast of developments in the field

· Collaborate with engineering and product development teams

· Provide day-to-day guidance and technical leadership to the data science team: collaborate with team members on their work, perform code reviews with a view to ensuring robust software deployments and implementing best practices, etc.

Required Skills & Experience

· Minimum 12 years relevant experience

· A bachelor’s or advanced degree in computer science, data science, operations research, applied mathematics, engineering, physics, or related field. Experience in more than one area is strongly preferred

· Proven experience in leading challenging data science projects

· Experience using data to monitor the function and health of mechanical equipment, or with designing or modeling physical systems, is a significant bonus

· Strong knowledge of math, probability, statistics, and algorithms

· Expertise with the Python data science ecosystem (pandas, scikit-learn, PyTorch/Keras, etc.) and with common machine learning approaches (generalized linear models/regression, clustering, tree-based methods, deep learning, etc.).

· Excellent data visualization skills

· Takes pride in writing clean, robust, production-ready Python code

· Prior experience implementing data pipelines (cleaning and ETL processes) and MLops (deployment with CI/CD pipelines, monitoring, and model version control) is a plus

· Adept in agile development methodologies

· Outstanding analytical and problem-solving skills

· Must demonstrate the ability to work in diverse, cross-functional teams in a dynamic business environment

· Candidates must be curious, creative, self-driven, and energetic self-starters

· Excellent written and verbal communication skills

Integers.

Ai is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
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