We are looking for a highly motivated and experienced Senior Data Scientist who thrives on solving real-world business challenges through data-driven insights and advanced machine learning techniques. You’ll play a crucial role in designing, developing, and deploying robust AI/ML models that power intelligent decision-making across the enterprise. If you're passionate about data, driven by impact, and excited about building intelligent systems that scale, this is the opportunity for you.
Experience. 10+ years
Key Responsibilities
- Design and implement end-to-end machine learning pipelines from data ingestion and feature engineering to model training, evaluation, and deployment.
- Conduct statistical analysis and data exploration to uncover hidden trends and generate actionable insights.
- Build, fine-tune, and maintain predictive and prescriptive models using structured and unstructured data.
- Work closely with business stakeholders, data engineers, and software developers to translate business requirements into data science solutions.
- Perform model validation, A/B testing, and ensure accuracy, robustness, and scalability of ML solutions.
- Document workflows, algorithms, and outcomes for both technical and non-technical stakeholders.
- Continuously explore emerging tools, frameworks, and best practices in the data science ecosystem.
Required Skills & Expertise
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Extensive hands-on experience with Python for machine learning and statistical computing.
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Proficiency in the core Python data science stack, including
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Pandas (data manipulation and cleaning)
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NumPy (numerical operations)
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Scikit-learn (classical ML models)
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Seaborn / Matplotlib (data visualization)
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Scipy (scientific computing)
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Statsmodels (statistical modeling, time series), Especially ARIMA, ARIMAX, SARIMAX models for time-series forecasting
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- Solid understanding of deep learning frameworks, TensorFlow, Keras, PyTorch (preferred).
- Experience with Jupyter Notebooks or similar tools for collaborative experimentation and reporting.
- Strong analytical thinking and statistical modeling background.
- Proven ability to work with large datasets and optimize model performance in production environments.
- Familiarity with software engineering principles, version control (Git), and CI/CD pipelines.
Nice to Have
- Experience with Streamlit for building data-driven web applications or dashboards.
- Familiarity with SQL for querying structured data and performing joins, aggregations, etc.
- Exposure to front-end technologies such as JavaScript or TypeScript is a plus, especially for cross-functional collaborations on AI-powered platforms.
Why Join Birlasoft?
- Be part of a forward-thinking organization that is reshaping the digital future of enterprises across industries.
- Work alongside passionate and skilled professionals who believe in continuous learning and collaboration.
- Access to world-class tools, infrastructure, and platforms that support innovation at scale.
- Competitive salary, flexible work arrangements, wellness programs, and strong career development opportunities.
If you're ready to lead the charge in AI and Data Science innovation, we invite you to join us in this exciting journey of transformation and impact.
Apply now and become a key architect of tomorrow’s intelligent enterprise!