Description

You will work independently on complex programs to identify and solve analytic problems using established data science principles and tools.

Responsibilities

• Conduct requirements gathering and design sessions to define scope and objectives for business use cases.
• Perform detailed analysis and feature engineering on structured and unstructured datasets.
• Develop data structures, integration processes, and user interfaces to illustrate analytical insights.
• Test, compare, and validate machine learning model results before solution implementation.
• Lead less experienced analysts on specific projects and deliver oral briefs and presentations of findings.

Required Skills

• 5+ years of experience in Data Science using R or Python.
• Expertise in statistical application prototyping and machine learning (Classification, Regression, and Clustering).
• Experience working on the Hadoop platform.
• Proficiency with HDFS, Hive, and Sqoop.
• Hands-on experience with Spark, including PySpark, SparkR, and SparkSQL.
• Strong knowledge of data mining and statistical predictive modeling.
• Ability to create interpretable visualizations that communicate insights.
• Degree in Computer Science, Information Systems, or Mathematics preferred.

Preferred Skills

• Experience with Big Data ecosystems using Jupyter and Zeppelin notebooks.
• Experience with cloud technologies including AWS, Azure, GCP, or Snowflake.
• Background in data engineering.

Key Skills

Education

Any Graduate