Job Description

At we Challenge Possible. Our brands \xe2\x80\x93 including and - create access to cooling and comfort in buildings and homes, transport and protect food and perishables, connect customers to elevated performance with less environmental impact, dramatically reduce energy demands and carbon emissions, and innovate with a better world in mind. We boldly challenge what\xe2\x80\x99s possible for a sustainable world.

Job Summary\xef\xbc\x9a
We are looking for a talented, highly motivated, and results-driven data scientist who will help our team to grow and bring high value to the Organization. In this role, you should demonstrate excellent problem formulation/definition skills and solve challenging data science problems for Enterprise.

Responsibilities:

• Work with different Business teams globally in identifying challenging problems with impact analysis.
• Collaborate with different teams in identifying the right data sources that address the problem.
• Work with domain experts and perform feature engineering through extracting meaningful features and exploratory analysis
• Develop machine learning-based algorithms that potentially address business problems. Combine models through ensemble modeling for high fidelity, test and validate for consistency and work with IT/Product teams in operationalizing them
• Have excellent business and communication skills to be able to work with stakeholders like the business teams, engineering teams, and partner teams
• Demonstrated ability in mentoring new engineers and leading diverse and complex projects
• Highly motivated strong team player with the ability to work both independently and collaboratively within a team.
• Has strong analytical skills, including the ability to scope out business problems to be solved, start from ambiguous problem statements, identify and access relevant data, make appropriate assumptions, perform insightful analysis and draw conclusions relevant to the business problem.
• Experience in creating powerful data-driven visualizations to describe ML modeling results to stakeholders.
• Be an expert in storytelling with data and articulating the AI/ML problems in an understandable manner to the senior leadership of the Business Units
• Demonstrated ability to work well in a global team environment
• Follow Agile development process during daily work

Qualifications:

• Bachelors Degree in Engineering (preferably in mechanical discipline)
• Master\xe2\x80\x99s or Advanced Degree in Business Analytics, Data Sciences, Statistics, or relevant quantitative field.
• Min 10 years of proven experience in developing Prognostic and Predictive models for industrial applications.
• Strong proficiency in

• Inferential statistics
• Machine-learning and Deep learning methods
• Anomaly detection modeling and Time Series Analysis
• SQL and Python/R Programming
• Strong proficiency in Text/Image analytics
• Familiarity with tools such as Alteryx Designer, Tableau is added advantage.
• Strong knowledge in the application of Industrial Machinery such as HVAC/R, Automobiles, and Compressors, etc.
• Work location \xe2\x80\x93 Bangalore IRETC Office

We offer competitive compensation and comprehensive benefits and programs that help our employees thrive in both their professional and personal lives. We are proud of our winning culture which is inclusive and respectful at its core. We share a passion for serving customers, caring for others, and boldly challenging what\xe2\x80\x99s possible for a sustainable world.

We are 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 race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, age, marital status, disability, status as a protected veteran, or any legally protected status.

Trane Technologies