Description

Job Description:

We are seeking a skilled Data Scientist with hands-on experience in Databricks to join our analytics team. The ideal candidate will have a strong background in data science, machine learning, and big data processing, with proven expertise in leveraging Databricks for data engineering and analytics workflows.

Responsibilities:

  • Design, develop, and deploy machine learning models using Databricks.
  • Build and optimize data pipelines and workflows on Databricks (using PySpark, SQL, etc.).
  • Collaborate with data engineers, analysts, and business stakeholders to deliver actionable insights.
  • Analyze large, complex datasets to extract meaningful patterns and trends.
  • Document processes, models, and code for reproducibility and knowledge sharing.

Requirements:

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or related field.
  • 2+ years of experience as a Data Scientist or similar role.
  • Hands-on experience with Databricks (including notebooks, clusters, and jobs).
  • Proficiency in Python and/or Scala; strong SQL skills.
  • Experience with big data tools (Spark, Delta Lake, etc.).
  • Solid understanding of machine learning algorithms and statistical methods.
  • Excellent problem-solving and communication skills.

Preferred Qualifications:

  • Experience with cloud platforms (Azure, AWS, or GCP).
  • Familiarity with MLflow, Delta Lake, and Databricks REST APIs.
  • Experience in data visualization tools (Power BI, Tableau, etc.)

Education

Any Graduate