Data Scientist - PySpark Python

About The Role

We are seeking a highly skilled and experienced Data Scientist with strong expertise in Databricks to join our advanced analytics team. The ideal candidate will lead data-driven initiatives, architect scalable data solutions, and collaborate with cross-functional teams to drive business impact.

Key Responsibilities

• Design and implement scalable data pipelines using Databricks, PySpark, and Delta Lake.
• Develop and deploy machine learning models for predictive analytics and optimization.
• Collaborate with data engineers, analysts, and business stakeholders to understand requirements and deliver actionable insights.
• Optimize data workflows and ensure high performance across cloud platforms (Azure/AWS/GCP).
• Lead data science projects end-to-end, from problem definition to model deployment and monitoring.
• Mentor junior data scientists and contribute to best practices in data science and Skills & Qualifications :
• 8+ years of experience in data science, analytics, or data engineering.
• Strong hands-on experience with Databricks, Apache Spark, and MLflow.
• Proficiency in Python, SQL, and data visualization tools (e.g., Power BI, Tableau).
• Experience with cloud platforms (Azure preferred).
• Solid understanding of machine learning algorithms, statistical modeling, and data wrangling.
• Excellent problem-solving, communication, and stakeholder management Qualifications :
• Certifications in Azure Data Engineer or Databricks.
• Experience with CI/CD pipelines and DevOps practices.
• Exposure to real-time data processing and streaming We Offer :
• Competitive compensation and benefits.
• Flexible work environment.
• Opportunities to work on cutting-edge technologies and impactful projects.
• Collaborative and inclusive culture.