Data Scientist

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

Cross-Functional Collaboration

Experimentation & A/B Testing

Data Governance & Ethics

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