Data Analytics Lead Engineer

Building No: 12C, Floor 9,10,11, Building No: 12B -Stilt floor, Raheja Mindspace, Cyberabad, Madhapur, Hyderabad - 500081, Telangana, India

Carrier

Carrier is the global leader in sustainable healthy buildings, HVAC, commercial and transport refrigeration solutions. Learn more about Carrier Corporation.

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Country:

India

Location:

Building No: 12C, Floor 9,10,11, Building No: 12B -Stilt floor, Raheja Mindspace, Cyberabad, Madhapur, Hyderabad - 500081, Telangana, India

Role: Data Analytics Lead Engineer

Location: Hyderabad

Full/ Part-time: Fulltime

Build a career with confidence

Carrier Global Corporation, global leader in intelligent climate and energy solutions is committed to creating solutions that matter for people and our planet for generations to come. From the beginning, we've led in inventing new technologies and entirely new industries. Today, we continue to lead because we have a world-class, diverse workforce that puts the customer at the center of everything we do.

About the role

Experienced professional in Data and Analytic Methods who works to achieve day-to-day objectives with major impact on operational results within work area. Leads in the collection of data across processes and products in scientific and mathematical principles. Responsible for identifying problems and analyzing opportunities through the use of statistical techniques. Leads in the preparation of datasets and communicates results to multiple teams within department.

Key Responsibilities:


Responsible for the implementation of business objectives and initiatives to ensure alignment with organization goals.
Collaborates with senior management and provides recommendations on product and program initiatives.
Implements analytical projects to optimize tools and technology.
Responsible for the implementation of training techniques to guide teams on modeling approaches and methodologies.
Leads in the analysis of potential opportunities via customer segmentation, behavior and product analytics.
Responsible for the implementation of evaluation metrics and models to analyze business performance and areas of opportunity.

Educates team on best practices and fosters cross-departmental collaboration.

Requirements

Good knowledge of Data science life cycle
Hands on experience in developing analytics approaches and solutions
Expertise in Python, AI/ML libraries, ML, DL and problem solving
Working experience on MLOps on cloud platforms like AWS/Azure.
Knowledge of GenAI, LLM project implementation.

Benefits

We are committed to offering competitive benefits programs for all of our employees, and enhancing our programs when necessary.

  • Enjoy your best years with our retirement savings plan
  • Have peace of mind and body with our health insurance
  • Make yourself a priority with flexible schedules, parental leave and our holiday purchase scheme
  • Drive forward your career through professional development opportunities
  • Achieve your personal goals with our Employee Assistance Programme

Our commitment to you

Our greatest assets are the expertise, creativity and passion of our employees. We strive to provide a great place to work that attracts, develops and retains the best talent, promotes employee engagement, fosters teamwork and ultimately drives innovation for the benefit of our customers. We strive to create an environment where you feel that you belong, with diversity and inclusion as the engine to growth and innovation. We develop and deploy best-in-class programs and practices, providing enriching career opportunities, listening to employee feedback and always challenging ourselves to do better. This is The Carrier Way.

Join us and make a difference.

Apply Now!

Carrier is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.

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Tags: AWS Azure Data Analytics Generative AI LLMs Machine Learning MLOps Privacy Python Statistics

Perks/benefits: Career development Flex hours Health care Insurance Parental leave

Region: Asia/Pacific
Country: India

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