Data Scientist job opportunity at Solenis.

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DatePosted 19 Days Ago bot
Solenis Data Scientist
Experience: 8-years
Pattern: full-time
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degreeMaster's (M.A.)
loacation Hyderabad, India, India
loacation Hyderabad, Ind..........India

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

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