Sr.Data Scientist

Senior Data Scientist Location: Hyderabad, India (Aurobindo Galaxy, Knowledge City) Position Type: Full-Time | Permanent Position Work Mode: Hybrid Experience: 8 – 15 Years+ Company: Solenis GSS India Pvt Ltd About Solenis GSS India Solenis is a leading global producer of specialty chemicals focused on delivering sustainable solutions for water-intensive industries. Our Global Systems and Services (GBS) hub in Hyderabad drives innovation, digital transformation, and enterprise operational excellence worldwide. About the Role Solenis GSS India is looking for a highly skilled Senior Data Scientist to join our AI & Data Science team. This role is designed for a strong individual contributor who brings deep expertise in classical Data Science and Machine Learning, with selective and practical exposure to Generative AI. You will work on complex, enterprise‑scale problems, building and deploying end‑to‑end machine learning and AI solutions that drive measurable business impact across commercial operations, supply chain, and customer experience domains. Note: This role is not focused on reporting, dashboards, or pure analytics. We are seeking hands‑on practitioners who own the full lifecycle of data science solutions—from problem definition to production deployment. Key Responsibilities Data Science & Machine Learning Design, build, train, and deploy machine learning models to solve complex business problems. Apply supervised and unsupervised learning techniques including regression, classification, clustering, and time‑series forecasting. Perform advanced exploratory data analysis (EDA), feature engineering, and model validation. Develop and optimize deep learning and NLP models using frameworks such as TensorFlow and PyTorch. Generative AI & Advanced AI Apply Generative AI techniques as an extension of core Data Science solutions. Build LLM‑powered workflows using frameworks such as LangChain and HuggingFace. Work with embeddings, vector databases, and tools such as FAISS for intelligent search and retrieval use cases. Collaborate on AI agent‑based solutions using tools like CrewAI or AutoGen where applicable. Ensure GenAI solutions are production‑ready, scalable, and aligned with business needs. Enterprise Data & Production Systems Work with structured and unstructured data across enterprise platforms. Collaborate with data engineering teams to ensure robust and scalable data pipelines. Develop solutions deployed on cloud platforms such as AWS, GCP, or Azure. Contribute to model deployment, monitoring, and optimization in production environments. Collaboration & Communication Partner with product managers, engineers, and business stakeholders to translate business problems into data science solutions. Communicate insights, model outcomes, and recommendations clearly to both technical and non‑technical audiences. Provide technical guidance and mentorship to junior team members when required. Required Skills & Qualifications Education Bachelor’s degree in computer science, Data Science, Statistics, Engineering, or a related field. Master’s degree such as M.Tech / PGP / PGD in Data Science or Business Analytics preferred. Coursework completed in 2017 or earlier is strongly preferred. Core Technical Skills Programming: Strong proficiency in Python and SQL. Libraries: Hands‑on experience with Pandas, NumPy, and Scikit‑learn. ML Methodologies: Deep understanding of Supervised & Unsupervised Learning (Regression, Classification, Clustering) and Time Series Modeling. Deep Learning & NLP: Solid experience with Natural Language Processing (NLP) using frameworks like TensorFlow and/or PyTorch. Advanced / GenAI Skills Practical experience with LangChain, Llama Index, HuggingFace, and BERT. Working knowledge of Embeddings & Vector Databases (e.g., FAISS). Professional exposure to cloud environments (AWS, GCP, or Azure) alongside Azure OpenAI / Vertex AI configurations. Experience Requirements 8–15 years of overall experience with strong hands‑on Data Science and ML ownership. Proven track record of delivering end‑to‑end ML solutions in enterprise environments. Deep experience working as an Individual Contributor on complex technical problems. Preferred Attributes Direct exposure to industrial, manufacturing, or enterprise commercial business domains. Experience working with large‑scale enterprise data platforms. Familiarity with responsible AI practices, model governance, and data quality frameworks. At Solenis, we understand that our greatest asset is our people. That is why we offer competitive compensation; comprehensive benefits, including medical, dental and vision insurance and a 401(k) plan; 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, whether in the lab or in the field, consider joining our team. Solenis is proud to be an equal opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin or protected veteran status and will not be discriminated against on the basis of disability. Not seeing a role that best fits your career goals? Introduce yourself to our Talent Acquisition team with a brief note on how you believe you can best apply your skills and bring value to Solenis. Solenis is a leading global provider of water and hygiene solutions. The company’s product portfolio includes a broad array of water treatment chemistries, process aids, functional additives, cleaners, disinfectants, and state-of-the-art monitoring, control and delivery 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 78 manufacturing facilities strategically located around the globe and employs a team of over ~23000 professionals in >160 countries across six continents. Solenis is a 2025 Best Managed Company Gold Standard honoree. For additional information about Solenis, please visit www.solenis.com or follow us on social media.