▷ Apply Now: Data Scientist

Solenis is a leading global producer of specialty chemicals delivering sustainable solutions for water-intensive industries including consumer industrial institutional food and beverage and pool and spa water markets Owned by Platinum Equity our innovative portfolio includes advanced water treatment chemistries process aids functional additives and state-of-the-art monitoring and control systems These technologies enable our customers to optimize operations enhance product quality protect critical assets and achieve their sustainability goals At our Global Excellence Center GEC in Hyderabad we support Solenis global operations by driving excellence in IT analytics finance and other critical business functions Located in the heart of the IT hub the GEC offers a dynamic work environment with strong career development opportunities in a rapidly growing yet stable organization Employees benefit from world-class infrastructure including an on-campus gym recreation facilities creche services and convenient access to public transport Headquartered in Wilmington Delaware Solenis operates 69 manufacturing facilities worldwide and employs over 16 100 professionals across 130 countries Recognized as a 2025 US Best Managed Company for the third consecutive year Solenis is committed to fostering a culture of safety diversity and professional growth For more information about Solenis please visit We re Hiring Data Scientist Location Hyderabad India - Hybrid Full-Time Permanent Position What you need to be successful Solenis is seeking a technically skilled and enterprise-savvy Data Scientist to join our AI Data Science team This role focuses on building and deploying Generative AI and Machine Learning solutions using cutting-edge platforms such as Salesforce AgentForce Google AgentSpace Snowflake Cortex AI Snowflake Document AI and Databricks AutoML You ll work across a modern data stack that includes Snowflake Databricks SAP and Salesforce helping to drive innovation in commercial supply chain and customer experience domains Key Responsibilities 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 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 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 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 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 Experimentation A B Testing Design and analyze experiments to test hypotheses and measure impact Use statistical methods to ensure validity and reliability of results 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 Some benefits of working with us Access to a huge array of internal and external training courses on our learning system free Access to self-paced language training free Birthday or wedding anniversary gift of INR 1500 Charity work once a year to give back to the community Company car phone if required for role Competitive health and wellness benefit plan Continuous professional development with numerous opportunities for growth Creche facility Employee Business Resource Groups EBRGs Electric car charging stations Hybrid work arrangement eg 3 days in office Internet allowance No-meeting Fridays Parking on site free Relocation assistance available Staff hangout spaces enjoy games like carrom chess Transport by cab if working the midnight - 7am shift Well connected to public transport only a 10 min walk to office We understand that candidates will not meet every single desired job requirement If your experience looks a little different from what we ve identified and you think you can bring value to the role we d love to learn more about you Solenis is constantly growing Come and grow your career with us At Solenis we understand that our greatest asset is our people That is why we offer competitive compensation and numerous opportunities for professional growth and development So if you are interested in working for a world-class company and enjoy solving complex challenges consider joining our team