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Data Scientist

Data Scientist

Danfoss

5 years

0 Lacs

india

Posted:3 hours ago| Platform: GlassDoor logo

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Skills Required

data technology ai learning drive cutting algorithms design ml deployment integration engineering model experimentation python tensorflow pytorch azure databricks versioning monitoring automation certifications collaboration power

Work Mode

On-site

Job Type

Part Time

Job Description

Requisition ID:

46468

Job Location(s):

Oragadam, IN

Employment Type:

Full Time

Segment:

Group Functions CFO

Job Function:

Information Technology

Work Location Type:

On-site

The Impact You'll Make

As a Data Scientist in our AI & Digital Acceleration team, you will be at the forefront of shaping how advanced AI and machine learning drive real business outcomes. Your work will transform cutting-edge algorithms into scalable solutions that empower decision-making and unlock new opportunities. By accelerating AI adoption, you will help position our organization as a global leader in innovation—creating measurable impact across industries.

What You’ll Be Doing

Design and deliver end-to-end AI/ML solutions, from problem framing and data exploration to deployment and monitoring.
Build and optimize production-grade models, ensuring seamless integration and continuous improvement.
Develop scalable pipelines for data ingestion, feature engineering, and model training.
Collaborate with product owners and stakeholders to translate business challenges into technical solutions that drive strategic impact.
Champion best practices in experimentation, reproducibility, and model evaluation.
Stay ahead of emerging AI trends, integrating innovations like Generative AI into real-world applications.
Communicate complex concepts clearly to non-technical audiences, enabling informed decisions.

What We're Looking For

5+ years in Data Science or Machine Learning, with at least 2 years in a senior or lead role.
Proven track record of delivering production-ready AI solutions with measurable business impact.
Hands-on experience with Generative AI is a strong plus.
Proficiency in Python, SQL, and frameworks like LangChain, TensorFlow, PyTorch, Scikit-learn.
Familiarity with cloud ML platforms (Azure ML, Google Cloud AI) and tools like Databricks, MLflow.
Solid understanding of CI/CD for ML, model versioning, monitoring, and automation pipelines.
Ability to influence stakeholders, communicate technical insights effectively, and work cross-functionally.
A curious learner who thrives in ambiguity, embraces challenges, and continuously seeks improvement.
Strong business acumen and problem-solving skills with a bias for action.

What You'll Get from Us

A dynamic environment where innovation and experimentation are encouraged.
Opportunities to lead high-impact AI initiatives and work on cutting-edge technologies like Generative AI.
Access to continuous learning programs, certifications, and global collaboration networks.
A culture that values growth mindset, empowering you to learn, adapt, and shape the future of AI.
The chance to make a tangible difference by driving AI transformation at scale.

Ready to Make a Difference?

If this role excites you, we’d love to hear from you! Apply now to start the conversation and learn more about where your career can go with us.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or other protected category.

Danfoss engineers solutions that increase machine productivity, reduce emissions, lower energy consumption, and enable electrification.

Our solutions are used in such areas as refrigeration, air conditioning, heating, power conversion, motor control, industrial machinery, automotive, marine, and off- and on-highway equipment. We also provide solutions for renewable energy, such as solar and wind power, as well as district-energy infrastructure for cities.

Our innovative engineering dates back to 1933. Danfoss is family-owned, employing more than 39.000 people, serving customers in more than 100 countries through a global footprint of 95 factories.

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Data Scientist