Track This Job
Add this job to your tracking list to:
- Monitor application status and updates
- Change status (Applied, Interview, Offer, etc.)
- Add personal notes and comments
- Set reminders for follow-ups
- Track your entire application journey
Save This Job
Add this job to your saved collection to:
- Access easily from your saved jobs dashboard
- Review job details later without searching again
- Compare with other saved opportunities
- Keep a collection of interesting positions
- Receive notifications about saved jobs before they expire
AI-Powered Job Summary
Get a concise overview of key job requirements, responsibilities, and qualifications in seconds.
Pro Tip: Use this feature to quickly decide if a job matches your skills before reading the full description.
Experience: 3–8 Years
Work Mode: Hybrid
Notice Period: Immediate Joiner
Job Description
We are looking for an experienced Data Scientist with strong expertise in advanced analytics and GenAI to support end-to-end data-driven solutions. The ideal candidate will work closely with cross-functional teams to build scalable models, automate workflows, and drive business insights.
Key Skills Required
- GenAI (prompt engineering, model fine-tuning, LLM integration)
- Python (Pandas, NumPy, Scikit-learn, ML/DL frameworks)
- SQL (advanced queries, optimization)
- PySpark (distributed data processing)
- Experience in building, deploying, and evaluating ML models
- Strong problem-solving skills with the ability to work in a hybrid setup
- Develop and optimize ML/GenAI models for business use cases
- Work with large datasets using PySpark and SQL
- Collaborate with engineering and product teams to design scalable solutions
- Generate actionable insights through data analysis and modeling
- Deploy, monitor, and improve model performance
- Bachelor’s/Master’s in Computer Science, Data Science, Engineering, or related field
- 3–8 years of relevant experience
Key Skills
Ranked by relevanceReady to apply?
Join Team Geek Solutions and take your career to the next level!
Application takes less than 5 minutes

