Staff Data Scientist

Job Description: Staff Data Scientist

Role:Staff Data Scientist

Job Location:Bangalore

Word Mode:Hybrid

Experience:12+ years

We are looking for a dynamic, experienced, and versatile Staff Data Scientist to be part of clients global platform and applications development team in the Technology group. The purpose of this role is to develop, sustain and enhance the architecture of clients 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 bachelors 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.