Data Scientist

1. 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.

2. 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.

3. 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.

4. 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.

5. 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.

6. Experimentation & A/B Testing

Design and analyze experiments to test hypotheses and measure impact.

Use statistical methods to ensure validity and reliability of results.

7. 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.

Why Join Solenis?

You’ll be part of a forward-thinking team driving digital transformation through AI. Solenis is investing in a modern data stack and enterprise-wide AI strategy, with a focus on scalable, secure, and impactful solutions.

What We Offer

Access to a huge array ofinternal and external training courses(free).

Access toself-paced language training(free).

Birthday or wedding anniversary giftof INR 1500.

Annualcharity work dayto give back to the community.

Company car/phone(if required for role).

Competitivehealth & wellness benefit plan.

Continuous professional developmentwith numerous growth opportunities.

Onsitecreche facility.

Employee Business Resource Groups (EBRGs).

Electric car charging stationsat office.

Hybrid work arrangement(3 days office, 2 days WFH).

Internet allowance.

No-meeting Fridaysfor focused work.

Free parkingon site.

Relocation assistance(if applicable).

Staff hangout spaces– enjoy carrom, chess, and more.

Office well-connected to public transport (just 10 min walk).