The Role
Join Solenis as a Data Scientist to leverage Generative AI and Machine Learning in solving enterprise challenges through data analysis, modeling, and cross-functional collaboration.
Summary Generated by Built In
Job Title: Data Scientist – Generative AI & Machine LearningExperience: 5 – 8 YearsOrganization: Solenis GSS IndiaEmployment Type: Full-Time | Permanent
Location: Hyderabad, IndiaLevel: Mid-CareerReports To: Director of Data Strategy or AI Program Lead About the RoleSolenis 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 AutoMLKey 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.
- 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.
- 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.
- 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.
- 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).
Skills Required
- 5 - 8 years of experience as a Data Scientist
- Experience solving enterprise business problems using AI models
- Proficiency in Python and SQL
- Experience with Snowflake, Databricks, and SAP data integration
- Hands-on experience with Generative AI frameworks
- Familiarity with MLOps tools and practices
- Bachelor's degree in Computer Science or related field
- Master's degree or Ph.D. preferred
Solenis Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Solenis and has not been reviewed or approved by Solenis.
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Healthcare Strength — Healthcare coverage includes medical, dental and vision options, and a 90/10 plan is available in at least one location. Wellness tools and plan variety indicate competitive medical support.
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Retirement Support — Retirement programs include a 401(k) with employer match and tenure-linked contributions, alongside company-funded pension elements in some regions. These components suggest meaningful long-term savings support.
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Wellbeing & Lifestyle Benefits — Wellbeing initiatives span physical, emotional, social and financial health via a global EAP and a wellness platform with activity-based rewards. Site-specific amenities such as gyms, recreation and creche services further reinforce lifestyle support.
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The Company
What We Do
Solenis is a leading global producer of specialty chemicals focused on delivering sustainable solutions for water-intensive industries, including consumer, industrial, institutional, food and beverage, and pool and spa water markets. Owned by Platinum Equity, the company’s product portfolio includes a broad array of water treatment chemistries, process aids, functional additives, and cleaners and disinfectants, as well as state-of-the-art monitoring and control systems. These technologies are used by customers to improve operational efficiencies, enhance product quality, protect plant assets, minimize environmental impact, and create cleaner and safer environments. Headquartered in Wilmington, Delaware, the company has 69 manufacturing facilities strategically located around the globe and employs a team of over 16,100 professionals in 130 countries across six continents. Solenis is a 2024 Best Managed Company Gold Standard honoree, recognized four years in a row. For additional information about Solenis, please visit www.solenis.com or follow us on social media
