Data Scientist

Remote: 
Full Remote
Contract: 
Work from: 

Offer summary

Qualifications:

Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field., 4 – 7 years of experience in data science, data engineering, or applied analytics., Proficiency in Python, SQL, and/or R for data analysis and processing., Familiarity with Apache Spark and experience using Databricks or similar cloud-based data platforms..

Key responsibilities:

  • Collaborate with end users to support the use of Apache Spark within Databricks for data analysis and processing.
  • Develop and maintain automated data pipelines that support analytical workloads.
  • Conduct exploratory data analysis, build visualizations, and generate insights for business decisions.
  • Communicate findings and technical concepts clearly to both technical and non-technical audiences.

eSimplicity logo
eSimplicity Scaleup http://www.esimplicity.com/
51 - 200 Employees
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Job description

Job Type
Full-time
Description

About Us:  

eSimplicity is modern digital services company that work across government, partnering with our clients to improve the lives and ensure the security of all Americans—from soldiers and veteran to kids and the elderly, and defend national interests on the battlefield. Our engineers, designers and strategist cut through complexity to create intuitive products and services that equip Federal agencies with solutions to courageously transform today for a better tomorrow for all Americans.

Role Overview: 

We’re looking for a Data Scientist to help analyze, integrate, and derive insights from large-scale datasets across diverse systems. You’ll work closely with data engineers, analysts, and business stakeholders to build scalable pipelines, perform data analysis, and support the use of modern data platforms like Databricks and Apache Spark. This is a great opportunity for someone who enjoys hands-on data work, solving complex problems, and contributing to impactful data-driven solutions. 

Responsibilities: 

  • Collaborate with end users to support the use of Apache Spark within Databricks using Python, SQL, and/or R for data analysis and processing. 
  • Work with data engineers and data scientists to extract, transform, and integrate data from external systems using APIs, Kafka, or Kinesis. 
  • Develop and maintain automated data pipelines that support analytical workloads. 
  • Conduct exploratory data analysis, build visualizations, and generate insights to inform business or research decisions. 
  • Write and maintain unit and integration tests for data workflows to ensure reliability and reproducibility. 
  • Communicate findings and technical concepts clearly to both technical and non-technical audiences. 
  • Stay up to date with data tools, technologies, and best practices to support continuous improvement. 

Required Qualifications: 

  • All candidates must pass public trust clearance through the U.S. Federal Government. This requires candidates to either be U.S. citizens or pass clearance through the Foreign National Government System which will require that candidates have lived within the United States for at least 3 out of the previous 5 years, have a valid and non-expired passport from their country of birth and appropriate VISA/work permit documentation. 
  • Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field. 
  • 4 – 7  years of experience in data science, data engineering, or applied analytics. 
  • Proficiency in Python, SQL, and/or R for data analysis and processing. 
  • Familiarity with Apache Spark and distributed computing frameworks. 
  • Experience using Databricks or similar cloud-based data platforms. 
  • Strong analytical thinking and problem-solving skills. 
  • Effective communication skills, including the ability to present complex information clearly. 
Requirements

Desired Qualifications: 

  • Experience working with healthcare data, especially CMS (Centers for Medicare & Medicaid Services) datasets. 
  • CMS and Healthcare Expertise: In-depth knowledge of CMS regulations and experience with complex healthcare projects; in particular, data infrastructure related projects or similar. 
  • Demonstrated success providing support within the CMS OIT environment, ensuring alignment with organizational goals and technical standards. 
  • Demonstrated experience and familiarity with CMS OIT data systems (e.g. IDR-C, CCW, EDM) 
  • Familiarity with AWS data tools and services (e.g., S3, Glue, Lambda). 
  • Understanding of test-driven development and tools like GitHub Actions. 

Working Environment:  
eSimplicity supports a remote work environment operating within the Eastern time zone so we can work with and respond to our government clients. Expected hours are 9:00 AM to 5:00 PM Eastern unless otherwise directed by your manager.


Occasional travel for training and project meetings. It is estimated to be less than 25% per year.

Benefits:  
We offer highly competitive salaries and full healthcare benefits.


Equal Employment Opportunity:  
eSimplicity is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, age, status as a protected veteran, sexual orientation, gender identity, or status as a qualified individual with a disability.

Salary Description
109,600-127,406

Required profile

Experience

Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Analytical Thinking
  • Communication
  • Problem Solving

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