AI Summary
Join Solenis as a Senior Data Scientist to build and deploy Generative AI and Machine Learning solutions using cutting-edge platforms. Drive innovation in commercial, supply chain, and customer experience domains. Collaborate with cross-functional teams to solve enterprise business problems.
Key Highlights
Building and deploying Generative AI and Machine Learning solutions
Driving innovation in commercial, supply chain, and customer experience domains
Collaborating with cross-functional teams
Key Responsibilities
Analyze large datasets to extract actionable insights
Build, train, and validate predictive models using machine learning algorithms
Collaborate with data engineers to ensure data pipelines are robust and scalable
Create dashboards and visualizations to communicate findings to stakeholders
Design and analyze experiments to test hypotheses and measure impact
Technical Skills Required
Benefits & Perks
Access to internal and external training courses
Self-paced language training
Birthday or wedding anniversary gift
Charity work
Company car
Competitive health and wellness benefit plan
Creche facility
Employee Business Resource Groups (EBRGs)
Electric car charging stations
Hybrid work arrangement
Internet allowance
No-meeting Fridays
Parking on site
Relocation assistance
Staff hangout spaces
Transport by cab
Nice to Have
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)
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.
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.
- 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.
- 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.
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- 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.
- 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.
- Design and analyze experiments to test hypotheses and measure impact.
- Use statistical methods to ensure validity and reliability of results.
- Ensure compliance with data privacy regulations and ethical standards.
- Promote responsible AI and fair use of data.
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- 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.
Interested in relocating to India? Check out our comprehensive Relocation Jobs in India page with detailed relocation packages and benefits.
- 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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