Data Scientist

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   Data bricks 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 of   internal and external training courses   (free).

• Access to   self-paced language training   (free).

• Birthday or wedding anniversary gift   of INR 1500.

• Annual   charity work day   to give back to the community.

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

• Competitive   health & wellness benefit plan.

• Continuous professional development   with numerous growth opportunities.

• Onsite   creche facility.

• Employee Business Resource Groups (EBRGs) .

• Electric car charging stations   at office.

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

• Internet allowance .

• No-meeting Fridays   for focused work.

• Free parking   on site.

• Relocation assistance   (if applicable).

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

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