Data Scientist

Job Description:

Quevera is seeking a Data Scientistto join our team. At Quevera, we don’t just offer jobs—we provide opportunities to be part of a dynamic, forward-thinking community that fosters innovation, collaboration, and personal growth. You’ll work with industry experts, take on exciting challenges, and have the creative freedom to build cutting-edge solutions, all while advancing your career in a space that truly values your skills and ideas.

HIGHLIGHT'S OF WORKING FOR QUEVERA:

Quevera employees voted Quevera as a TOP EMPLOYER in the Baltimore /DC area by the Washington for 2025 for the 5th consecutive year!

Excellent Quevera's Benefits:

Medical/Dental/Vision (100% Employer Paid Medical Plan)

Short/Long Term Disability (Employer Paid)

Life Insurance (Employer Paid)

Yearly $5,000 towards education/training/certification.

Employees are in control of their career path through our Career Pathway Program .

Employer paid Company Vacation Package for you and a guest !

Retirement:

Quevera will match up to 6% towards your 401K and an additional 4% profit sharing!

REQUIRED - MUST have a current TS/SCI Polygraph clearance to apply for role. Only those with a current TS/SCI with Poly clearance will be considered.

Required Experience:

Expert

Day To Day Responsibilities Include:

• The Contractor shall perform end-to-end quality assurance of data feeds and data sets.
• The Contractor shall provide support for data triage and assessment at the Sponsor’s site.
• The Contractor shall identify and document areas for improvement in workflows or systems.
• The Contractor shall attend regular stand-up meetings.
• The Contractor shall provide input to code reviews.
• The Contractor shall cross-train on existing collection tools.
• The Contractor shall support building, monitoring, alerting, and reporting out (e.g. dashboards).
• The Contractor shall support new use cases.
• The Contractor shall research and document options for collecting or aggregating data from a variety of web based and internal Sponsor platforms.
• The Contractor shall evaluate web based platforms’ ability to detect or deny access.
• The Contractor shall make recommendations on approaches to acquire information.
• The Contractor shall use appropriate tools and computer programming languages, such as Python scripts, to collect and process data from a variety of sources.
• The Contractor shall use Sponsor-network APIs to programmatically access data.
• The Contractor shall create, maintain, and enhance systems in support of data exploitation.
• The Contractor shall create or improve custom collection scripts written in Python.
• The Contractor shall create or improve scripts leveraging APIs for collection needs.
• The Contractor shall automate data clean-up and conditioning of collected data.
• The Contractor shall automate data management and dissemination steps.
  
  

Required Experience:

• Demonstrated experience programming in Python.
• Demonstrated experience working with data in a variety of structured and unstructured formats, including MS Excel
• Demonstrated experience with a variety of database tools, such as SQL and Presto, and data lakes/S3 data.
• Demonstrated experience building and demonstrating data visualization tools, and dashboards especially Elasticsearch, Kibana, Tableau, Apache Superset and PowerBI
• Demonstrated ability to translate complex, technical findings into an easily understood narrative in graphical, verbal, or written form.
• Demonstrated experience analyzing questions, formulating requirements, determining suitable analytic approaches, evaluating results, and communicating findings to partners and stakeholders.
• Demonstrated experience translating complex technical findings into an easily understood narrative in graphical, verbal, written form
• Demonstrated openness to feedback and ability to collaborate well with colleagues to develop customer-tailored products.
  
  

Desired Experience:

• Demonstrated experience with AI/ML such as natural language processing in a production environment
• Demonstrated experience developing and refining statistical models ,inferential statistics, and hypothesis testing.
• Demonstrated experience with data management tools, such as Hadoop, MapReduce, or similar.
• Demonstrated experience conducting data science using the Apache Zeppelin and Jupyter notebooks platforms and Spark/Pyspark.
• Demonstrated experience developing MS Visual Basic for Applications (VBA) code.
• Demonstrated experience supporting traditional and commercial targeting efforts
• Demonstrated experience programming in the R language
  
  

Quevera is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age or any other characteristic protected by law