Description

You will design, prototype, and build data-driven solutions to solve business problems.

Responsibilities

• Translate business requirements into technical information solutions and data structures.
• Apply machine learning, deep learning, and artificial intelligence techniques to develop analytical models.
• Build ETL data pipelines to extract and process data from multiple sources.
• Perform data analysis using established statistical and mathematical frameworks.
• Travel or relocate to unanticipated client sites across the USA as required.

Required Skills

• Proficiency in Python and SQL.
• Experience with Spark and PySpark.
• Hands-on work with Hive and Kafka.
• Data manipulation using Pandas and NumPy.
• Model development using Keras and SciKit-Learn.
• Experience with Redshift and Matplotlib.
• Master's degree in Computer Science, IT, Engineering, Business, or a related field with 6 months of experience.
• Alternatively, a Bachelor's degree in a related field with 5 years of progressive work experience.

Key Skills

Education

Any Graduate