Job Description

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