Data Scientist

Solenis Open

Hybrid Hyderabad Full-time Mid-level Data Science

At a glance

Mid-level Data Science role at Solenis. Hyderabad · full-time.

Pay not stated Data Scientist salary

RoleData Science

SeniorityMid-level

LocationHyderabad

WorkplaceHybrid

EmploymentFull-time

PostedSep 11, 2025

Role brief

dataroles summary, based on the employer's posting.

What you'll do

Explore datasets with statistical methods to spot trends, relationships and anomalies that inform decisions
Train and validate predictive models, choosing methods for each problem and improving them with feature work and tuning
Clean and reshape structured and unstructured data, coordinating with data engineers on dependable pipelines
Build dashboards and turn complex findings into clear recommendations for technical and non-technical audiences
Plan hypothesis tests, assess their impact and use statistical checks to judge result reliability

What you bring

You have five to eight years applying data science in a large enterprise
You have used AI models on enterprise problems, including predictive analytics, intelligent agents and document intelligence
You work with Python, SQL, Snowflake, Databricks and SAP data integration
You hold an undergraduate degree in computer science, data science, statistics, engineering or a related discipline

Who this fits

This mid-career role suits someone who can apply machine learning and generative AI to enterprise challenges and communicate results across technical and business teams. The job is based in Hyderabad, with three days in the office and two working from home.

From the employer

Job Title: Data Scientist – Generative AI & Machine Learning

Experience: 5 – 8 Years

Organization: Solenis GSS India

Employment Type: Full-Time | Permanent

Location: Hyderabad, India

Level: Mid-Career

Reports To: Director of Data Strategy or AI Program Lead

About the Role

Solenis GSS India is looking for an experienced and innovative Data Scientist to join our global AI & Data Science team. This role is designed for professionals who are passionate about leveraging Generative AI, Machine Learning, and modern data platforms to solve real-world enterprise challenges.

You will work on cutting-edge initiatives across commercial, supply chain, and customer experience functions, deploying solutions on platforms such as Salesforce AgentForce, Google AgentSpace, Snowflake Cortex AI, Snowflake Document AI, and Databricks AutoML

Key Responsibilities

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 of internal and external training courses (free).
Access to self-paced language training (free).
Birthday or wedding anniversary gift of INR 1500.
Annual charity work day to give back to the community.
Company car/phone (if required for role).
Competitive health & wellness benefit plan.
Continuous professional development with numerous growth opportunities.
Onsite creche facility.
Employee Business Resource Groups (EBRGs).
Electric car charging stations at office.
Hybrid work arrangement (3 days office, 2 days WFH).
Internet allowance.
No-meeting Fridays for focused work.
Free parking on site.
Relocation assistance (if applicable).
Staff hangout spaces – enjoy carrom, chess, and more.
Office well-connected to public transport (just 10 min walk).

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At a glance

What you'll do

What you bring

Who this fits

From the employer

Job Title: Data Scientist – Generative AI & Machine Learning

Experience: 5 – 8 Years

Organization: Solenis GSS India

Employment Type: Full-Time | Permanent

Location: Hyderabad, India

Level: Mid-Career

Reports To: Director of Data Strategy or AI Program Lead

About the Role

Solenis GSS India is looking for an experienced and innovative Data Scientist to join our global AI & Data Science team. This role is designed for professionals who are passionate about leveraging Generative AI, Machine Learning, and modern data platforms to solve real-world enterprise challenges.

You will work on cutting-edge initiatives across commercial, supply chain, and customer experience functions, deploying solutions on platforms such as Salesforce AgentForce, Google AgentSpace, Snowflake Cortex AI, Snowflake Document AI, and Databricks AutoML

Key Responsibilities

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 of internal and external training courses (free).

Access to self-paced language training (free).

Birthday or wedding anniversary gift of INR 1500.

Annual charity work day to give back to the community.

Company car/phone (if required for role).

Competitive health & wellness benefit plan.

Continuous professional development with numerous growth opportunities.

Onsite creche facility.

Employee Business Resource Groups (EBRGs).

Electric car charging stations at office.

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

Internet allowance.

No-meeting Fridays for focused work.

Free parking on site.

Relocation assistance (if applicable).

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

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

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.