Sr. Data Scientist
Ecospace Campus 3A, 4th Floor, Outer Ring Road, Bellandur, Bengaluru- 560103, India
Carrier
Carrier is the global leader in sustainable healthy buildings, HVAC, commercial and transport refrigeration solutions. Learn more about Carrier Corporation.Country:
IndiaLocation:
Ecospace Campus 3A, 4th Floor, Outer Ring Road, Bellandur, Bengaluru- 560103Location - Bengaluru
Skills - Sr.Data Scientist
About the Role - We are seeking a Senior Data Scientist to join our AI team. In this role, you will be responsible for designing, developing, and deploying advanced machine learning models to solve complex business challenges. You will work closely with cross-functional teams to translate business requirements into data-driven solutions, ensuring that our AI initiatives deliver measurable value to the organization. As a senior member of the team, you will also mentor junior data scientists and contribute to the overall data science strategy.
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
6+ 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 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.
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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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: A/B testing Agile AWS Big Data Computer Science Data analysis Data pipelines Deep Learning Git Hadoop Machine Learning Mathematics ML models MLOps Model deployment Model training NLP NumPy Pandas PhD Pipelines Privacy Python PyTorch Scikit-learn Spark Statistics TensorFlow Testing Unsupervised Learning
Perks/benefits: Career development Health care Insurance
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