Data Science Engineer Jobs

Genzeon is a dominant driver in next generation technology services & solutions and digital transformations. We empower our clients to adapt and be agile in an ever-evolving digital landscape. At Genzeon, we are more than just building next-gen customized applications; we’re more about actually feeling, respecting, hearing, and engaging in a meaningful dialogue with our clients. Our empathetic culture is deeply embedded within our corporate business model, demonstrated in letter and spirit through multilateral touch points within the Genzeon family and outwardly with our clients and stakeholders.

Data Science Engineer

Remote

C2H

Only profiles who are authorized to work without sponsorship will be considered.

Summary:

The Data Science Engineer will collaborate extensively with teams such as Business Intelligence, Analytics, and Data Engineering & Services.

In this role, you will be responsible for spearheading the development and maintenance of structured and unstructured data pipelines, while also conducting thorough analyses to extract valuable insights that drive informed business decisions.

Key Responsibilities

• Taking charge of critical data operations including the ingestion of structured and unstructured data, transformation, standardization, and quality assurance, to establish resilient and streamlined data pipelines with automation capabilities.
• Supporting off-hours data processing and emergency requests
• Document and maintain robust processes that move large amounts of complex data between multiple data storage systems including text extracts, RDBMS and parquet formats.
• Communicating effectively with cross functional teams.
• Proactively identifying issues and trends through data analysis and manipulation.
• Perform deep-dive analyses using SQL & python data science & big data tools to garner actionable insights and identify and clean complex data quality issues.
• Presenting findings in reports and utilizing various visualization techniques and tools like Power BI and Python data visualization tools.
• Creating and maintaining code through GitHub repository for change control.
• Monitoring, reviewing, and analyzing inbound and outbound data.
• Working with SQL, Python and Apache Spark to perform iterative analysis and integrate into data ETL/pipelines.

Experience, Qualifications, Knowledge and Skills:

• Strong presentation skills to explain and present advanced statistical methods using non-technical language to key business stakeholders.
• Bachelor’s degree (Statistics, Math, Computer Science, or related field) and a minimum of 2 to 5 years related experience and/or training; or equivalent combination of education and experience as a data engineer/analyst/scientist.
• Experience with version control software (Git preferred), agile development experience, and knowledge of design patterns.
• Experience with big data using Spark(Pyspark, Scala) and knowledge of Spark Internals.
• Experience with AWS.
• Strong health care data knowledge (medical claims data, clinical data, pharmacy data, and eligibility data) preferred.
• Experience working independently, contributing as a member of the team and result driven.
• Experience with Rust a big plus.
• Advanced SQL skills.
• Advanced Python skills including popular data science libraries such as Pandas, Numpy, Matplotlib or similar.