Data Scientist

We're Hiring | Senior Data Scientist (Databricks Certified) Are you passionate about solving complex business problems using AI, Machine Learning, and the Databricks Lakehouse Platform? We're looking for an experienced

Senior Data Scientist to join our growing Advanced Analytics team. If you have hands-on expertise in building production-grade ML solutions and hold an active

Databricks Machine Learning Certification , we'd love to connect with you. Position

Senior Data Scientist Experience

• 4+ years of professional Data Science experience
• Minimum 2+ years of hands-on experience with the

Databricks Lakehouse Platform Mandatory Requirement Candidates

must hold an active Databricks Certification :

• Databricks Certified Machine Learning Associate

OR

• Databricks Certified Machine Learning Professional What You'll DoAI & Machine Learning Development
• Design, develop, train, and optimize Machine Learning models for real-world business challenges.
• Build predictive models using supervised and unsupervised learning techniques.
• Work on NLP, Generative AI, and advanced analytics use cases.
• Perform statistical analysis, hypothesis testing, and exploratory data analysis (EDA) to generate business insights. Databricks & Data Engineering
• Build scalable feature engineering and data preprocessing pipelines using

PySpark and

Spark MLlib .

• Leverage Databricks capabilities including:
• AutoML
• Unity Catalog
• Feature Store
• Develop enterprise-scale ML pipelines on the Databricks Lakehouse Platform. MLOps & Model Deployment
• Track experiments and manage model lifecycle using

MLflow .

• Deploy ML models for:
• Batch inference
• Real-time serving
• Streaming workloads
• Monitor production models for:
• Data Drift
• Concept Drift
• Model Performance
• Implement automated monitoring using Lakehouse Monitoring. Collaboration
• Partner with Data Engineers to build scalable data architectures.
• Collaborate with business stakeholders to translate business requirements into AI-driven solutions.
• Present technical findings and model insights to both technical and non-technical audiences. Technical SkillsProgramming
• Python
• PySpark
• SQL
• Pandas
• NumPy
• Scikit-learn Machine Learning & AI
• XGBoost
• TensorFlow
• PyTorch
• Hyperopt
• Spark MLlib MLOps
• MLflow
• Model Registry
• Experiment Tracking
• Model Versioning Software Engineering
• Git
• CI/CD
• Code Reviews
• Version Control Best Practices Education Bachelor's, Master's, or Ph.D. in:
• Data Science
• Computer Science
• Statistics
• Mathematics
• Artificial Intelligence
• Or any related quantitative discipline Preferred Qualifications
• Experience building

Generative AI applications.

• Hands-on experience with

Large Language Models (LLMs) .

• Experience designing

AI Agents / Agentic Workflows on Databricks.

• Exposure to cloud platforms such as

AWS, Azure, or GCP . Why Join Us?

• Work on enterprise-scale AI & Machine Learning projects.
• Build production-ready solutions using the latest Databricks ecosystem.
• Collaborate with highly skilled engineers and data scientists.
• Solve challenging real-world business problems with cutting-edge technologies.