Skip to main content

Radius Unit

Data Scientist

Hyderabad, India
Job ID 30140255 Job Category Digital Technology




Building No 12D, Floor 5, Raheja Mindspace, Cyberabad, Madhapur, Hyderabad - 500081, Telangana, India

Job Title – Data Scientist

Preferred Location: Hyderabad, India

Full time/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.

Role Description:

Data Scientist is crucial role in product development team at Carrier. As a Data Scientist you can dive deep into gigantic data from multiple sources and build smart data driven solutions that change the face of your BU. You will also work closely with cross-functional teams to develop and optimize AI models and contribute to the creation of innovative products, services,  virtual assistants and chatbot solutions.

Primary Skills/Expectations:

  • Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress.
  • Working knowledge in Python or R
  • Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability.
  • Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world.
  • Drive evangelization of data sciences across our division by communicating the use cases of advanced analytics
  • Track industry trend, drive data standards and best practices, and leverage latest industry technologies to increase efficiency of Data Science prototypes
  • Work with different Functional teams across the globe in identifying Business problems with impact analysis
  • Acquire Data from primary or secondary data sources available in structured and unstructured form
  • Perform Data modeling activities such as data cleansing, merging and enrichment etc.
  • Perform feature engineering through extracting meaningful features from measured and/or derived data
  • Proficient in SQL and experience with big data platforms like Hadoop, Spark, or similar technologies: Necessary for data manipulation and analysis.
  • Strong mathematical skills (e.g., statistics, algebra): Fundamental for data modeling and analysis.
  • Verifying data quality, and/or ensuring it via data cleaning.
  • Supervising the data acquisition process if more data is needed.
  • Defining validation strategies.
  • Defining the preprocessing or feature engineering to be done on a given dataset • Defining data augmentation pipelines • Building and implementing advanced machine learning models.
  • Training models and tuning their hyper parameters.
  • Analyzing the errors of the model and designing strategies to overcome them.
  • Deploying models to production.
  • Experience in processing and managing large data sets (TB scale) is preferred.


  • 6-9 years of overall experience.


  • B.E/B.Tech/MCA/M.Tech/M.Sc with Data Science/Statistics as major
  • Or additional diploma in Data Science from recognized university/college along with Degree in Engineering/Science(B.Tech/M.Tech/MSc./MCA)


  • Preference will be given to the person who participated in global Data Science challenges such as Kaggle to analyze large datasets.


  • 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.

Job Applicant's Privacy Notice:

Click on this link to read the Job Applicant's Privacy Notice


Explore Jobs at Carrier

You currently have no recently viewed jobs.

View Open Positions

You currently have no saved jobs to view.

View Open Positions

Explore More at Carrier

Inclusion & Diversity

Carrier remains steadfast in our goal to create a workplace that is truly and genuinely inclusive, and where all employees feel like they _belong.

Carrier Business Services

Explore Careers in Carrier Business Services.

Who We Are: About Carrier

For over a century we have lead the way. Today, we're redefining what's possible. We are the new Carrier.

Carrier Unscripted: Why Employees Love Carrier

There's no script for changing the world. Hear what current employees have to say about working with Carrier.

Work With Us - Why Carrier?

Learn more about working at Carrier.

Get Job Alerts

Sign up below to receive job alerts and be the first to hear about new job openings.

Check Application Status

Already applied for a job at Carrier? Log in to check your application's status.