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Data Science Degree Jobs in Washington (NOW HIRING)

Bachelor of Science degree or higher in Computer Science, Statistics, Data Science, Mathematics, or other related STEM field * 7+ years in a data science, analytics, or business intelligence role ...

Bachelor of Science degree or higher in Computer Science, Statistics, Data Science, Mathematics, or other related STEM field * 7+ years in a data science, analytics, or business intelligence role ...

Bachelor of Science degree or higher in Computer Science, Statistics, Data Science, Mathematics, or other related STEM field * 7+ years in a data science, analytics, or business intelligence role ...

Data Science Analyst

Springfield, VA · On-site

$132K - $159K/yr

Overview Data Science Analyst Springfield, VA or St. Louis, MO Active TS (SCI eligibility ... Bachelor's degree in systems Engineering or in related technical or scientific fields such as ...

Data Science SME Mid

Fort Belvoir, VA · On-site

$115K - $157K/yr

Data Science SME Mid TULK supports U.S. national security customers with cleared experts who ... A bachelor's degree from an accredited (i.e., regional, national, or institutional) academic ...

Data Science ConsultantLocationWashington, DC Area (Hybrid) Summit is a specialized analytics firm ... Bachelor's degree. Preferred SkillsSQLExperience with cloud-native-data platforms and services (e.g ...

Data Science ConsultantLocationWashington, DC Area (Hybrid) Summit is a specialized analytics firm ... Bachelor's degree. Preferred SkillsSQLExperience with cloud-native-data platforms and services (e.g ...

Data Science Engineer, Lead As a Data Science Engineer, you'll help build advanced technology ... Bachelor's degree Nice If You Have: * 1+ years of experience with Spark, containerization, ELK, or ...

Showing results 41-60

Data Science Degree information

See Washington salary details

$42.5K

$139K

$222.6K

How much do data science degree jobs pay per year?

As of Sep 6, 2026, the average yearly pay for data science degree in Washington is $139,013.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,600.00 and $154,000.00 per year, depending on experience, location, and employer.

What is a data science degree?

A Data Science degree is an academic program that prepares students to analyze, interpret, and derive insights from complex data sets using statistical, computational, and machine learning techniques. The curriculum typically includes coursework in mathematics, statistics, computer science, and specialized data science methods. Graduates are equipped with the skills to work in a variety of industries, tackling real-world problems by leveraging data-driven decision making. This degree can be pursued at the undergraduate or graduate level, and often includes hands-on projects and internships.

What are the key skills and qualifications needed to thrive as a data scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in mathematics, statistics, and programming, typically supported by a degree in data science, computer science, or a related field. Proficiency in technical tools such as Python or R, SQL, and machine learning frameworks, along with relevant certifications, is highly valued. Strong problem-solving abilities, effective communication, and curiosity help set apart top-performing data scientists. These skills are crucial for extracting actionable insights from data, collaborating with stakeholders, and driving data-driven decision-making.

What types of real-world projects or team collaborations can I expect to work on after earning a data science degree?

After earning a Data Science degree, you can expect to engage in a variety of real-world projects such as building predictive models, analyzing large datasets to uncover business insights, and developing data-driven solutions for organizational challenges. Data scientists often collaborate closely with cross-functional teams, including software engineers, business analysts, and domain experts, to translate complex data findings into actionable strategies. These collaborations not only enhance your technical skills but also provide valuable experience in communication and project management, which are essential for career growth in this field.

What is the difference between Data Science Degree vs Data Analyst?

AspectData Science DegreeData Analyst
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fieldsBachelor's in Statistics, Mathematics, or related fields
Work EnvironmentResearch, modeling, developing algorithms, often in tech or finance industriesData cleaning, reporting, visualization, supporting business decisions
Employer & Industry UsageTech companies, finance, healthcare, academiaRetail, marketing, finance, healthcare

Data Science Degree programs focus on advanced analytics, machine learning, and programming, preparing individuals for complex modeling roles. Data Analysts typically handle data processing, visualization, and reporting to support decision-making. While both roles require strong analytical skills, Data Science degrees emphasize technical and statistical expertise, whereas Data Analysts focus on interpreting data for business insights.

What can I do with my data science degree?

A data science degree prepares individuals for roles such as data analyst, data scientist, machine learning engineer, and business intelligence analyst. Graduates can work in industries like technology, finance, healthcare, and marketing, utilizing skills in programming, statistical analysis, and data visualization tools like Python, R, and SQL.

What jobs can a data science degree get?

A data science degree qualifies individuals for roles such as data analyst, data scientist, machine learning engineer, and business intelligence analyst. These positions typically require skills in programming, statistical analysis, and data visualization tools like Python, R, or SQL, and may involve working in various industries including technology, finance, healthcare, and marketing.

What cities in Washington are hiring for Data Science Degree jobs?

Cities in Washington with the most Data Science Degree job openings:

Infographic showing various Data Science Degree job openings in Washington as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $139,013 per year, or $66.8 per hour.

Lead Data Scientist

Allegis Group

Hanover, MD • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 24 days ago


Job description

Job Summary:

Allegis Group is the global leader in talent solutions, delivering staffing services to our customers through our operating companies, including Aerotek, TEKsystems, and Aston Carter. The IT department at Allegis is leading us through a digital transformation where we are seamlessly incorporating technology into our work to enhance who we are – a company committed to creating opportunity for those around us and for those who will come after us.

We are seeking a Lead Data Scientist to join the Connected Growth & Insights team — a metrics-focused practice within Connected Shared Services. This team serves as the "engine of insight" for the Connected program, connecting every data point to a strategic outcome and functioning as the Metrics Support System for every team in Connected.

The ideal candidate combines strong analytical and visualization skills with emerging AI/ML capabilities to surface the value of the Salesforce ecosystem of products and linked applications. This person will own metric definition, dashboard delivery, and stakeholder storytelling across multiple OpCos and transformation stages — while also advancing our Cortex AI agent initiative to make Snowflake data and insights more accessible through self-service tooling.

Are you up for the challenge?

Top Skills:

  • Expertise with SQL for complex querying against cloud data platforms (Snowflake preferred)
  • Proficiency in data visualization and BI tools, especially Tableau
  • Experience defining, measuring, and communicating business metrics and KPIs to executive stakeholders
  • Familiarity with AI/ML techniques including text-to-SQL, semantic modeling, and predictive analytics (Snowflake Cortex experience a plus)
  • Strong understanding of the Salesforce ecosystem and CRM analytics

Job Description:

  • Leads metrics strategy and analytics delivery for the Connected Growth & Insights team within Allegis Group's enterprise Salesforce practice.
  • Partners with coalition leaders, product owners, and Data & Analytics architects to define success metrics across all transformation stages.
  • Designs and delivers Tableau dashboards and visualizations that transform product and sales activity into decision-ready metrics for OpCo stakeholders.
  • Translate complex data into clear, actionable narratives for senior leadership using data storytelling techniques.
  • Advance self-service analytics capabilities through Snowflake Cortex AI (Cortex Analyst / Cortex Search) to reduce time-to-insight and enable rapid decision-making for early-phase experiments and enterprise rollouts.
  • Evaluate analytics tooling to reduce duplicative technology and optimize the team's reporting stack.
  • Mentor team members on analytics best practices and data science principles.
  • Presents findings to stakeholders at all levels.

Essential Functions:

  • Defines, builds, and maintains success metrics for Connected initiatives across all transformation stages (Experiment → Pilot → Enterprise Rollout → Steady State), aligned to the Metrics Center of Excellence framework
  • Designs and delivers Tableau dashboards and reports that transform product and sales activity into decision-ready metrics for OpCo stakeholders (TEKsystems, Aerotek, Actalent, Aston Carter)
  • Translates complex data into clear, actionable narratives for coalition leaders, product owners, and senior IS leadership — using data storytelling to demonstrate the value of the Salesforce ecosystem
  • Advances the Cortex AI agent initiative by developing and expanding self-service analytics capabilities (Cortex Analyst / Cortex Search) that reduce time-to-insight for stakeholders
  • Delivers reports and analysis for the Incubation Hub and cross-coalition teams, ensuring data-driven decisions are applied to the performance of experiments
  • Analyzes and recommends analytics tooling (e.g., Adobe Analytics vs. Quantum Metric) to reduce duplicative technology and optimize the analytics stack
  • Serves as the Growth & Insights data SME within Metrics CoE tactical working groups, partnering with coalition leads and Data & Analytics architects to ensure metrics align with business goals
  • Works in an Agile team with business analysts, product owners, and developers to deliver analytics solutions in sprints
  • Communicates project status, issues, and resolution with appropriate stakeholders
  • Maintains a working knowledge of new technologies and adopts suitable concepts for the organization
  • Creates level of effort (LOE) and duration estimates for assigned work. Proactively manages activities to meet those expectations
  • Mentors and guides junior team members on analytics best practices, metric design patterns, and data science principles

Minimum Education and/or Experience:

  • Bachelor of Science degree or higher in Computer Science, Statistics, Data Science, Mathematics, or other related STEM field
  • 7+ years in a data science, analytics, or business intelligence role with progressive responsibility
  • Demonstrated experience defining and delivering business metrics and KPIs at enterprise scale
  • Strong proficiency in SQL and Tableau (or equivalent BI platform)
  • Experience with Snowflake or similar cloud data platforms
  • Experience with Python or R for data analysis, statistical modeling, or automation
  • Familiarity with Salesforce data models and CRM reporting is strongly preferred

Skills/Abilities:

  • Knowledge of descriptive and inferential statistics, including hypothesis testing and A/B experimentation
  • Ability to apply supervised and unsupervised machine learning techniques for classification, clustering, and predictive modeling
  • Experience building semantic models or AI-driven analytics tools (Snowflake Cortex, LLM-powered analytics a plus)
  • Strong data visualization skills with an emphasis on clarity, accuracy, and stakeholder-appropriate design
  • Ability to communicate insights to business and leadership audiences in verbal and written formats — including executive-level data storytelling
  • Strong understanding of Agile processes and practices (SAFe experience a plus)
  • Ability to lead initiatives, mentor team members, and take accountability for delivery
  • Strong analytical and critical thinking skills
  • Intellectual curiosity: creativity and innovation to go beyond current tools to deliver the best solution to complex problems

Office Requirements:

  • Required in office at least 2-3 days a week out of our headquarters in Hanover, MD or offices in Jacksonville, FL

Core Competencies:

  • Customer Service
  • Building Relationships
  • Business Knowledge / Organizational Acumen
  • Self-Motivation / Self-Starter
  • Leading Self and Others
  • Data Storytelling & Executive Communication

 

Benefits Overview:

Benefits are subject to change and may be subject to specific elections, plan, or program terms.  This role is eligible for the following:

  • Medical, dental & vision
  • Hospital plans
  • 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available
  • Life Insurance (Company paid Basic Life and AD&D as well as voluntary Life & AD&D for the employee and dependents)
  • Company paid Short and long-term disability
  • Health & Dependent Care Spending Accounts (HSA & DCFSA)
  • Transportation benefits
  • Employee Assistance Program
  • Tuition Assistance
  • Time Off/Leave (PTO, Allegis Group Paid Family Leave, Parental Leave)

 

Salary Range:

  • $112,500 - $168,700
  • The position is bonus-eligible

 

Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

 

If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing process due to a disability, please email Lauren Lara at llara@allegisgroup.com or call 410-579-3526 for other accommodation options.