Sr. Data Scientist

Country:

India

Location:

Ecospace Campus 3A, 4th Floor, Outer Ring Road, Bellandur, Bengaluru- 560103

Role: Sr. Data Scientist

About the Role:

Experienced Data Science & Analytics professional. Creating data mining architectures/models/protocols, statistical reporting, and data analysis methodologies to identify trends in large data sets. Analysis may be applied to various areas of the business (e.g., Market Economics, Supply Chain, Marketing/Advertising, Scientific Research, etc.)

Primary responsibilities: 

• Design, develop, and deploy machine learning models that meet performance standards and business requirements
• Conduct comprehensive data analysis to extract actionable insights and drive data-informed decision-making
• Present findings and recommendations to stakeholders, including executive leadership
• Continuously monitor and evaluate the performance of AI models in production, implementing improvements and updates as needed
• Collaborate with data engineers to ensure efficient data pipelines and high-quality datasets for model training and evaluation
• Stay abreast of the latest developments in AI and data science, incorporating cutting-edge techniques and technologies into projects
• Mentor junior data scientists and contribute to the development of best practices and standards for the data science team
• Work closely with the MLOps team to ensure smooth deployment and integration of models into production environments
• Contribute to the creation and maintenance of documentation, including model specifications, data dictionaries, and user guides
• Participate in sprint planning, daily stand-ups, and retrospectives as part of an Agile development process

​Experience and Skills Required: 

• Master's degree or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field
• 5+ years of experience in applied data science or machine learning roles
• Strong proficiency in Python and its data science libraries (e.g., NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch)
• Extensive experience with machine learning techniques, including supervised and unsupervised learning, deep learning, and natural language processing
• Proven track record of developing and deploying machine learning models in production environments
• Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS)
• Solid understanding of statistical analysis, experimental design, and A/B testing
• Excellent problem-solving skills and ability to translate complex business problems into data science solutions
• Strong communication skills with the ability to explain technical concepts to non-technical stakeholders
• Experience with version control systems (e.g., Git) and collaborative development practices
• Familiarity with MLOps practices and tools for model deployment and monitoring
• Knowledge of data privacy regulations and ethical considerations in AI development
• Experience mentoring junior data scientists and contributing to team growth
• Ability to work effectively in a fast-paced, collaborative environment

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

• Make yourself a priority with flexible schedules and leave Policy

• Drive forward your career through professional development opportunities Achieve your personal goals with our Employee Assistance Program.

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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