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Role: Data Science

Location: Bangalore, India

Full/ Part-time: Full time

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

We are seeking a talented and experienced Senior Data Science Engineer to join our growing team. The ideal candidate will have a strong background in supply chain and operations, with expertise in developing advanced data science solutions for anomaly detection, forecasting, and revenue optimization using convolutional neural networks (CNN), Python, and PySpark.

Primary responsibilities: 

• Collaborate with cross-functional teams to understand business requirements and identify opportunities for leveraging data science to drive revenue growth and improve operational efficiency in the supply chain and operations domain.

• Design, develop, and deploy advanced data science models and algorithms for traditional and GenAI business products, with a focus on CNN anomaly detection, forecasting, and revenue optimization.

• Analyse large and complex datasets to extract actionable insights and develop predictive models that provide valuable business intelligence and support data-driven decision-making processes.

• Implement scalable and efficient data processing pipelines using Python and PySpark to pre-process, clean, and transform raw data into a format suitable for analysis and modelling.

• Evaluate the performance of data science models using appropriate metrics and techniques, and iterate on model design and parameters to continuously improve accuracy and effectiveness.

• Collaborate with software engineers and DevOps teams to integrate data science models into production systems and ensure scalability, reliability, and performance.

• Stay up-to-date with the latest advancements in data science, machine learning, and artificial intelligence technologies, and proactively identify opportunities to apply new techniques and methodologies to solve business challenges.

Experience and Skills Required: 

• Bachelor's degree or higher in Computer Science, Engineering, Mathematics, Statistics, or a related field. Advanced degree preferred.

• 7+ years of experience in data science, machine learning, and predictive analytics, with a focus on supply chain and operations.

• Strong proficiency in Python and PySpark for data manipulation, analysis, and modelling. Experience with libraries such as Pandas, NumPy, TensorFlow, and PyTorch is highly desirable.

• Solid understanding of convolutional neural networks (CNN) and deep learning techniques for anomaly detection, forecasting, and revenue optimization.

• Experience working with large-scale datasets and distributed computing frameworks for processing and analysing big data, such as Hadoop, Spark, and Databricks.

• Proven track record of developing and deploying data science solutions in production environments, with a focus on delivering measurable business impact and value.

• Excellent communication skills and ability to effectively collaborate with cross-functional teams, including business stakeholders, data engineers, software developers, and product managers.

• Strong analytical and problem-solving skills, with a passion for using data-driven approaches to solve complex business problems and drive innovation.

Qualifications:

• B.E/B.Tech/MCA/M.Tech qualification

• AWS Certified preferred, but not mandatory

Benefits

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

• Make yourself a priority with flexible schedules, parental leave

• 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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