Data Scientist: Generative AI & Machine Learning

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 innovativeDataScientistto join our globalAI &DataScience team. This role is designed for professionals who are passionate about leveragingGenerative AI, Machine Learning, and moderndataplatformsto solve real-world enterprise challenges.

You will work on cutting-edge initiatives acrosscommercial, supply chain, and customer experiencefunctions, deploying solutions on platforms such asSalesforce AgentForce, Google AgentSpace, Snowflake Cortex AI, Snowflake Document AI, andDatabricks 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 business objectives and align data science efforts accordingly.

• Participate in strategic planning and decision-making processes.

• 6. Experimentation & A/B Testing

• Design and analyze experiments to test hypotheses and measure impact.

• Use statistical methods to ensure validity and reliability of results.

• 7. Data Governance & Ethics

• Ensure compliance with data privacy regulations and ethical standards.

• Promote responsible AI and fair use of data.

Required Qualifications

• 5–8 years of experience as a Data Scientist in a large enterprise environment.

• Demonstrated experience solving enterprise business problems using AI models, including predictive analytics, intelligent agents, and document intelligence.

• Proficiency in Python and SQL; experience with Snowflake, Databricks, and SAP data integration.

• Hands-on experience with Generative AI frameworks (e.g., LangChain, HuggingFace, OpenAI APIs) and LLM deployment strategies.

• Familiarity with Salesforce AgentForce, Google AgentSpace, and Snowflake Cortex AI is highly desirable.

• Experience with MLOps tools and practices such as MLflow, dbt, and Git.

Educational Requirements

• Bachelor’s degree in Computer Science, Data Science, Statistics, Engineering, or a related field.

• Master’s degree or Ph.D. preferred, especially with a focus on Machine Learning, Artificial Intelligence, or Applied Mathematics.

Preferred Experience

• Experience in chemical, manufacturing, or industrial sectors.

• Exposure to AI use cases in commercial operations, supply chain, or customer service.

• Familiarity with SAP-Salesforce integration tools (e.g., Enosix, MuleSoft).

• Understanding of AI governance, data quality, and master data management frameworks.

Why Join Solenis?

You’ll be part of a forward-thinking team driving digital transformation through AI. Solenis is investing in a modern data stack and enterprise-wide AI strategy, with a focus on scalable, secure, and impactful solutions.

What We Offer

• Access to a huge array ofinternal and external training courses(free).

• Access toself-paced language training(free).

• Birthday or wedding anniversary giftof INR 1500.

• Annualcharity work dayto give back to the community.

• Company car/phone(if required for role).

• Competitivehealth & wellness benefit plan.

• Continuous professional developmentwith numerous growth opportunities.

• Onsitecreche facility.

• Employee Business Resource Groups (EBRGs).

• Electric car charging stationsat office.

• Hybrid work arrangement(3 days office, 2 days WFH).

• Internet allowance.

• No-meeting Fridaysfor focused work.

• Free parkingon site.

• Relocation assistance(if applicable).

• Staff hangout spaces– enjoy carrom, chess, and more.

• Office well-connected to public transport (just 10 min walk).