Description

You will lead the end-to-end development of complex analytical solutions and machine learning models.

This role is on-site.

Responsibilities

• Lead end-to-end development of complex analytical solutions and ML models.
• Conduct requirements gathering and design sessions to define project scope.
• Perform detailed analysis, feature engineering, and data structure design.
• Test, compare, and validate ML model results before implementation.
• Guide junior analysts and communicate insights via presentations.

Required Skills

• 5+ years of experience in Data Science using R or Python.
• Expertise in machine learning, including classification, regression, and clustering.
• Extensive experience in predictive modeling and data mining for real-world problems.
• Proficiency working with Hadoop platforms, including HDFS and Hive.
• Ability to work with both structured and unstructured datasets.
• Strong skills in statistical application prototyping.
• Experience creating interpretable visualizations to communicate analytical insights.

Preferred Skills

• Experience with Big Data Ecosystems such as Spark (pySpark, SparkR, SparkSQL), Sqoop, Jupyter, or Zeppelin.
• Background in data engineering.
• Experience with cloud technologies including AWS, Azure, GCP, or Snowflake.

Key Skills

Education

Bachelor's Degree