Job Title: Data Scientist – Generative AI & Machine Learning
Experience: 5 – 8 Years
Organization: Solenis GSS India
Employment Type: Full time | Permanent
Location: Hyderabad, India
Level: Mid-Career
Reports To: Director of Data Strategy or AI Program Lead
About the Role
Solenis GSS India is looking for an experienced and innovative Data Scientist to join our global AI & Data Science team. This role is designed for professionals who are passionate about leveraging Generative AI, Machine Learning, and modern data platforms to solve real-world enterprise challenges.
You will work on cutting-edge initiatives across commercial, supply chain, and customer experience functions, deploying solutions on platforms such as Salesforce AgentForce, Google AgentSpace, Snowflake Cortex AI, Snowflake Document AI, and Databricks AutoML
Key Responsibilities
- 1. Data Analysis & Interpretation
- Analyze large datasets to extract actionable insights.
- Use statistical techniques to identify trends, patterns, and anomalies.
- Perform exploratory data analysis (EDA)
to understand data distributions and relationships.
- 2. Machine Learning & Modeling
- Build, train, and validate predictive models using machine learning algorithms.
- Select appropriate modeling techniques based on business problems.
- Continuously improve models through feature engineering and hyperparameter tuning.
- 3. Data Engineering Support
- Collaborate with data engineers to ensure data pipelines are robust and scalable.
- Clean, transform, and prepare data for analysis and modeling.
- Work with structured and unstructured data from various sources.
- 4. Visualization & Communication
- Create dashboards and visualizations to communicate findings to stakeholders.
- Translate complex data insights into clear, actionable recommendations.
- Present results to both technical and non-technical audiences.
- 5. Cross-Functional Collaboration
- Work closely with product managers, engineers, and business teams.
- Understand
📌 Data Scientist (Hyderabad)
🏢 Diversey
📍 Hyderabad
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