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Junior Data Science Analytics Jobs in Washington

Peraton

Data Scientist

Washington, DC · On-site

$140 - $200/hr

... data science, analytics, or a related technical discipline. * Active TS/SCI clearance with ... Provide technical guidance and mentorship to junior team members. Location: This position is fully ...

Accenture LLP

Jr. Data Scientist

Annapolis, MD · On-site

$90K - $120K/yr

AFS is looking for a Jr. Data Scientist to support our nation's most critical missions. If you love ... data analytics platforms * Familiarity with agile development methodologies in data science ...

New

PrimCorp, LLC

Junior Data Analyst

Reston, VA · On-site

Job Title Junior Data Analyst Opportunity DIA Job Type Full-time Location Reston, VA US (Primary ... analytics such as statistics, rule-based systems, regression and rule-based systems, regression ...

Asta CRS Inc.

Be Seen First

Junior Data Analyst

Washington, DC · On-site

$28 - $30/hr

The Junior Data Analyst will support data-driven decision-making by collecting, processing, and ... analytics as directed * Collaborate with cross-functional teams to support business objectives

Booz Allen Hamilton

Data Scientist

Alexandria, VA · On-site

Lead data science projects from scoping through delivery, ensuring analytical rigor and alignment ... Mentor junior data scientists and establish best practices for reproducible, well-documented ...

GRVTY

Data Scientist - Senior

Springfield, VA

Mentor junior analysts and contribute to process improvement and modernization initiatives. What ... Master's degree in Data Science, Statistics, Business, or related field preferred. * Expert ...

Booz Allen Hamilton, Inc.

Data Scientist

Alexandria, VA · On-site +1

Lead data science projects from scoping through delivery, ensuring analytical rigor and alignment ... Mentor junior data scientists and establish best practices for reproducible, well-documented ...

Booz Allen Hamilton

Data Scientist

Alexandria, VA · On-site

Lead data science projects from scoping through delivery, ensuring analytical rigor and alignment ... Mentor junior data scientists and establish best practices for reproducible, well-documented ...

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Data Scientist Lead - Remote / Telecommute

CYNET SYSTEMS

Reston, VA • Remote

$94/hr

Contractor

Re-posted 4 days ago

Job description

Job Overview:
  • Lead data science initiatives by applying advanced analytics, machine learning, and AI techniques to drive business insights and solutions.
  • Mentor team members and ensure delivery of scalable, high-quality data products aligned with organizational goals.

Responsibilities:

  • Lead data mining, data extraction, and application of algorithms to generate actionable insights.
  • Synthesize analytical findings and present insights to stakeholders and senior leadership.
  • Drive adoption and implementation of machine learning and AI solutions across the organization.
  • Apply AI techniques to solve business problems within data and resource constraints.
  • Mentor and develop junior data scientists to enhance analytical capabilities.
  • Translate business priorities into actionable data science deliverables.
  • Lead implementation of ML/AI/DS best practices for new data products.
  • Design and build scalable, robust data science solutions and software.

Required Qualifications:

  • Bachelor’s degree in Statistics, Mathematics, Computer Science, or related field.
  • 8+ years of relevant data science or analytics experience.
  • In lieu of a degree, 12+ years of relevant experience.
  • Strong expertise in statistical modeling and analytical techniques.
  • Advanced proficiency in SQL across multiple syntaxes.
  • Experience with model evaluation, tuning, and performance optimization.
  • Ability to operationalize and scale data science solutions.
  • Strong communication and documentation skills.

Preferred Qualifications:

  • Expertise in a wide range of data science tools and frameworks.
  • Experience supporting data exploration and advanced analytics initiatives.
  • Proven ability to design and deploy scalable machine learning solutions.

Skills and Competencies:

  • Leadership and mentoring capabilities.
  • Strong analytical and problem-solving skills.
  • Ability to translate complex data into actionable insights.
  • Effective communication with technical and non-technical stakeholders.
  • Strategic thinking with a focus on business outcomes.
  • Ability to manage multiple priorities and deliver high-quality results.

Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading staffing and recruiting powerhouse. Proudly recognized as a nationally and locally certified diversity firm, Cynet delivers agile, scalable talent solutions across industries. With an active footprint in all 50 U.S. states and Canada, we support thousands of consultants through our expansive, high-performing recruitment engine operating across North America and Asia—ensuring speed, quality, and consistency in every hire.
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About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

Social media

Twitter

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