Data Scientist (India)

Data Scientist (India)

10 Aug
|
Ingersoll Rand Careers
|
India

10 Aug

Ingersoll Rand Careers

India

Ingersoll Rand is committed to achieving workforce diversity reflective of our
communities. We are an equal opportunity employer. All qualified applicants will
receive consideration for employment without regard to age, ancestry, color,
family or medical care leave, gender identity or expression, genetic
information, marital status, medical condition, national origin, physical or
mental disability, political affiliation, protected veteran status, race,
religion, sex (including pregnancy), sexual orientation, or any other
characteristic protected by applicable laws, regulations and ordinances.

Job Title

Data Scientist – MLOps & Analytics Governance

Location

Bangalore

About Us

Ingersoll Rand is a global provider of mission-critical flow creation, life
science and industrial solutions. Ingersoll Rand’s Global Engineering &
Technology Center (GEC) in Bangalore, A GREAT PLACE TO WORK CERTIFIED WORKPLACE
is driven by an ownership mindset and entrepreneurial spirit, has been a beacon
of innovation for over 19 years, embodying our purpose to “Make Life Better” for




our employees, customers, shareholders and the planet.

The Engineering & Technology center has expertly supported a diverse range of
industrial products, offering deep expertise in core and digital engineering
space. By cultivating a sense of inclusion, belonging and respect, and a
collaborative culture, the GEC has fostered the most talented and capable
engineers, thereby playing a pivotal role in driving Ingersoll Rand’s purpose
and strategic focus areas.

Job & Division Summary:

We are looking for a technically robust Data Scientist – MLOps & Analytics
Governance with 4–5 years of experience who will own the full MLOps lifecycle,
enforce data quality governance and insights validations. The ideal candidate is
highly proficient in writing optimised, scalable Python and SQL code with deep
hands-on experience running large-scale workloads in BigQuery on GCP. This role
is critical to ensuring ML models are

📌 Data Scientist (India)
🏢 Ingersoll Rand Careers
📍 India

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