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Radius Unit

SIOP Sr. Data Scientist

India
Job ID 30171268 Job Category Digital Technology
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Country:

India

Location:

Capital Cyberscape, 2nd Floor, Ullahwas, Sector 59, Gurugram, Haryana 122102

Role: Data Scientist

Location: Gurgaon/Hyderabad

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:The ideal candidate will have mathematical and statistical expertise, along with natural curiosity and a creative mind. While mining, interpreting, and cleaning our data, this person will be relied on to ask questions, connect the dots, and uncover hidden opportunities for realizing the data’s full potential. As part of a team of specialists, the data scientist will “slice and dice” data using various methods and create new visions for the future.

Job Description:

Roles and Responsibilities :

  • Conduct comprehensive market research, including competitive analysis, customer segmentation, and market trend identification.

  • Develop and implement statistical forecasting models to predict future market demand, sales trends, and customer behavior.

  • Utilize regression analysis techniques to understand the relationships between various factors and business outcomes.

  • Collect, clean, and transform large datasets from various sources, including internal databases, external APIs, and public data repositories.

  • Engineer relevant features from raw data to improve model performance and extract meaningful insights.

  • Develop and implement data pipelines for efficient data extraction, transformation, and loading (ETL).

  • Develop and deploy machine learning models, including supervised and unsupervised learning algorithms (e.g., decision trees, random forests, support vector machines, neural networks).

  • Explore and implement deep learning techniques, such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), and generative adversarial networks1 (GANs), for complex tasks like image recognition, natural language processing, and time series forecasting.  

  • Train, validate, and evaluate machine learning models using appropriate metrics and techniques.

  • Monitor model performance over time and implement necessary adjustments to maintain accuracy and effectiveness.

  • Communicate model findings and insights to stakeholders in a clear and concise manner.

Minimum Requirements:

  • Bachelor's in Statistics, Mathematics, Computer Science, Economics, or a related field is preferred

Benefits:

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

  • Have peace of mind and body with our health insurance

  • 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.

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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