Senior Data Scientist
Primary stack
Nice to have's
Job description
About DS STREAM
DS STREAM is a global data and AI consulting company with 9 years of experience delivering advanced analytics and AI solutions to leading brands across FMCG, Retail, E-commerce, Healthcare, and Telecommunications. With 160+ professionals and 120+ projects delivered, we specialize in Machine Learning, Generative AI, and Data Engineering. We recently expanded to India (Bangalore) to bring our European AI expertise and innovation to new frontiers, working with cutting-edge technologies to solve complex business challenges.
About the Position
We are looking for a talented and passionate Data Scientist to join our team. In this role, you will leverage statistical methods, machine learning algorithms, and data analysis techniques to extract actionable insights and support data-driven decision-making. You will work closely with cross-functional teams to develop predictive models and solve complex business problems using data.
Responsibilities
- Build and maintain machine learning models for predictive analytics, optimization, and forecasting.
- Develop recommendation systems and algorithms to support data-driven decisions.
- Process and enhance datasets, including feature engineering and computer vision tasks (e.g., image analysis).
- Conduct data quality audits, ensure dataset integrity, and prepare data for modeling.
- Design and run proof-of-concept experiments to validate assumptions and key performance indicators.
- Collaborate with teams and stakeholders to refine requirements, interpret results, and deliver actionable insights.
Requirements
- Strong proficiency of 5–8 years in Python and ML libraries (scikit-learn, TensorFlow/PyTorch).
- Experience with predictive modeling, recommendation systems, and optimization techniques.
- Proven track record in anomaly detection, time series, and statistics.
- Advanced SQL skills and ability to handle large, complex datasets.
- Full ML lifecycle expertise (data prep, training, validation, tuning, evaluation).
- Proven ability to communicate technical findings to non-technical audiences.
- Experience with Google Cloud Platform.
Nice to Have
- Cloud or Data Engineering certifications or specialization certifications (e.g. Google Professional Machine Learning Engineer, Microsoft Certified: Azure AI Engineer Associate Exam AI-102, AWS Certified Machine Learning Specialty (MLS-C01), Databricks Certified Machine Learning).
- Contributions to open-source AI projects.
- Experience with Agile/Scrum methodologies.
We Offer
- Work with a senior team of 10+ years experienced ML/AI experts.
- Hands-on experience with latest Generative AI and agentic technologies.
- Global exposure working on projects for leading brands.
- Technology-agnostic environment fostering innovation.
- Competitive compensation package.
- Opportunity to shape AI strategy in our growing India operations.
Location & Work Mode
- Bangalore, Karnataka
CAREERS
Senior Data Scientist - Bangalore, India
Senior
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FMCG,Retail,E-commerce,Healthcare,Telco,Finance,Logistics
About the Company DS Stream is a fast-growing AI & Data consulting company focused on analytics and data management for global brands. The company employs a team of over 200 senior experts who specialize in Data Science, Machine Learning, and MLOps. Their mission is to transform know-how into effective architectures for their clients. Products, Services & Tech Stack Core Solutions Data Engineering: Transforming disparate data into valuable insights for informed business decisions. AI Engineering: Providing modern AI technologies and custom AI tools to support AI-driven business decisions. MLOps: Integrating ML technologies with DevOps practices to automate Machine Learning workflows and improve efficiency. Technologies & Frameworks Specific platforms, languages, or tools are not mentioned in the provided text. Project Scope & Target Clients Client Base Industries Served: FMCG, retail, e-commerce, healthcare, telco, finance, logistics, and more. Engineering Scale The company delivers tailored and complex data analytics for global corporations. Projects include real-time intelligence for the longevity ecosystem, category management for FMCG, and sales automation for resort packages.