
Data Scientist
Danfoss
full-time
Posted on:
Location Type: Office
Location: Oragadam • 🇮🇳 India
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
AzureCloudPythonPyTorchScikit-LearnSQLTensorflow
About the role
- 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.
Requirements
- 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.
Benefits
- 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.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
Data ScienceMachine LearningGenerative AIPythonSQLLangChainTensorFlowPyTorchScikit-learnCI/CD for ML
Soft skills
communicationinfluenceproblem-solvingcuriosityadaptabilitycollaborationbusiness acumencross-functional teamworkstrategic thinkingcontinuous improvement