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Data Science Assistant Jobs in Olney, MD (NOW HIRING)

... science technology stack and architecture. * Design data architecture for future platform growth including data warehousing, machine learning, streaming analytics, and data visualization. * Assist in ...

Senior Data Scientist

Arlington, VA · On-site

$180K - $230K/yr

... science technology stack and architecture. * Design data architecture for future platform growth including data warehousing, machine learning, streaming analytics, and data visualization. * Assist in ...

Data Scientist, Lead

Washington, DC · On-site

$120 - $190/hr

... assist with building AI tools that automate key processes. This position will be based out of ... data science languages, such as R and Python; managing and merging of disparate data sources ...

Participate in analytic working groups and technical discussions * Assist with maintaining data ... Bachelor's Degree in Data Science, Statistics, Mathematics, Computer Science, or related field

May assist with the selection of appropriate analytical approaches towards automation. Reviews and defines requirements for data science cybersecurity approaches. Tools used to include the following ...

Join us as we use data science for good in building this capability. Join us. The world can't wait ... As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with ...

Mid Data Scientist

Washington, DC · On-site

$77K - $176K/yr

Join us as we use data science for good in building this capability. Join us. The world can't wait ... As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with ...

Mid Data Scientist

Washington, DC · On-site

$77K - $176K/yr

Join us as we use data science for good in building this capability. Join us. The world can't wait ... As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with ...

Data Scientist, Mid

Washington, DC · On-site

$77K - $176K/yr

Join us as we use data science for good in building this capability. Join us. The world can't wait ... As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with ...

Mid Data Scientist

Washington, DC · On-site

$77K - $176K/yr

Join us as we use data science for good in building this capability. Join us. The world can't wait ... As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with ...

Mid Data Scientist

Washington, DC · On-site

$77K - $176K/yr

Join us as we use data science for good in building this capability. Join us. The world can't wait ... As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with ...

Join us as we use data science for good in building this capability. Join us. The world can't wait ... As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with ...

Data Scientist, Mid

Washington, DC · On-site

$77K - $176K/yr

Join us as we use data science for good in building this capability. Join us. The world can't wait ... As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with ...

Showing results 21-40

Data Science Assistant information

What is a data science assistant?

Data Science Assistants are professionals who support data scientists and analytics teams by handling tasks such as data collection, data cleaning, preparing datasets, conducting preliminary analyses, and creating visualizations. They often work with large datasets, assist in maintaining data integrity, and help automate routine processes. Their role allows data scientists to focus on more complex modeling and analytical work, making the overall workflow more efficient. Data Science Assistants typically have a foundational understanding of statistics, programming (such as Python or R), and data management tools.

What are the key skills and qualifications needed to thrive as a data science assistant?

To thrive as a Data Science Assistant, you need a solid understanding of statistics, data analysis, and programming (often with a background in mathematics, computer science, or a related field). Familiarity with tools like Python or R, data visualization software, and experience with databases or spreadsheet systems are typically required. Attention to detail, strong problem-solving abilities, and effective communication set outstanding candidates apart. These skills are crucial for supporting data-driven decision-making and ensuring accurate, actionable insights for organizations.

How does a data science assistant typically collaborate with data scientists and other team members on projects?

As a Data Science Assistant, you will frequently support data scientists by preparing datasets, conducting preliminary data analysis, and creating visualizations. You will often work closely with analysts, engineers, and subject matter experts to gather requirements and ensure data is cleaned and formatted appropriately. Collaboration is a key part of the role, as you may participate in team meetings, share findings, and help with documentation to keep projects running smoothly. This supportive environment provides an excellent opportunity to learn from experienced professionals and gain exposure to the full data science workflow.

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

AspectData Science AssistantData Analyst
Required CredentialsBachelor's in Data Science, Statistics, or related fieldBachelor's in Statistics, Mathematics, or related field
Work EnvironmentTech companies, research labs, data-driven departmentsBusiness, finance, marketing, healthcare sectors
Employer & Industry UsageUsed in data science teams for supporting models and analysisUsed across industries for interpreting data and generating reports

While both roles involve working with data, a Data Science Assistant typically supports data science projects, focusing on data preparation and model testing. A Data Analyst primarily interprets data to generate insights and reports. The roles overlap in skills and work environments but differ in their core responsibilities and focus areas.

What are the most commonly searched types of Data Science jobs in Olney, MD?

The most popular types of Data Science jobs in Olney, MD are:

What cities near Olney, MD are hiring for Data Science Assistant jobs?

Cities near Olney, MD with the most Data Science Assistant job openings:

Infographic showing various Data Science Assistant job openings in Olney, MD as of August 2026, with employment types broken down into 5% Internship, 80% Full Time, 11% Part Time, 2% Temporary, and 2% Contract. Highlights an 93% In-person, and 7% Remote job distribution.

Associate Data Scientist/ Data Scientist

Navy Federal Credit Union

Vienna, VA • On-site

$80K - $135K/yr

Full-time

Posted 3 days ago

New


Navy Federal Credit Union rating

8.1

Company rating: 8.1 out of 10

Based on 276 frontline employees who took The Breakroom Quiz

65th of 152 rated financial services


Job description


Navy Federal Credit Union currently does not provide sponsorship for this role. Applicants must be authorized to work in the United States without the need for current or future sponsorship.
Our Digital Data Science & Analytics team is focused on understanding and improving the digital experiences of our members. Through analytics, predictive modeling, and AI-enabled solutions, we help uncover insights, inform strategic decisions, and enhance digital experiences and operations across the organization.
We are seeking a motivated early- to mid-career Data Scientist who is passionate about solving real-world business problems through data. This role is ideal for someone who enjoys combining statistical analysis, machine learning, experimentation, behavioral analytics, and emerging AI capabilities to uncover insights and drive measurable impact.
As a member of our team, you will collaborate with cross-functional partners across product, technology, and business teams to transform complex questions into actionable insights. Our team draws from a broad range of analytical, machine learning, and AI techniques to deepen understanding of member behavior and digital experiences. This work spans areas such as digital experience analytics, customer feedback and sentiment analysis, digital usage forecasting, member behavior modeling, feature adoption measurement, and operational optimization, helping drive better decisions, improve member outcomes, and enhance the digital experience for millions of members.
Responsibilities
  • Analyze member digital behavior using Python and SQL
  • Conduct exploratory data analysis to identify patterns in product adoption, engagement, and customer experience
  • Partner with business stakeholders and product teams to solve digital experience challenges
  • Build and deploy analytical solutions that provide actionable business insights
  • Assist in development of predictive and machine learning models
  • Support AI-powered summarization and classification workflows using large language models
  • Support agent-building solutions for workflow automation and productivity tools
  • Develop NLP and sentiment analysis solutions using customer feedback data
  • Analyze app reviews, surveys, contact center data, social media, and digital feedback sources
  • Communicate findings through reports, presentations, dashboards, and storytelling
  • Collaborate with senior data scientists to design and evaluate advanced analytical solutions
  • Knowledge of financial services, digital products, or customer experience analytics is beneficial but not required

Qualifications
  • Bachelor's Degree in Data Science, Statistics, Applied Mathematics, Computer Science, Engineering, or degrees in similar quantitative fields
  • 1-4 years' experience conducting data science, business intelligence, analytics, or statistical analysis related project work
  • Basic programming experience in data modeling and database management
  • SQL, Python, R
  • Experience using AI tools such as Copilot, Claude, ChatGPT, Azure AI Foundry, LangChain, Semantic Kernel, Azure AI Services, or similar frameworks
  • Familiarity with machine learning concepts including classification, logistic regression, clustering models like k-means, tree-based models like random forest or XGBoost, recommendation systems, NLP, and sentiment modeling
  • Familiarity with traditional modeling techniques such as regression, logistic models, or time series models such as ARIMA or Prophet
  • Experience using cloud analytical environments such as Azure, Databricks, AWS, or GCP
  • Strong curiosity and ability to learn new technologies quickly
  • Excellent communication and storytelling skills

Desired Qualifications
  • Master's Degree in Data Science, Statistics, Applied Mathematics, Computer Science, Engineering, or degrees in similar quantitative fields
  • Strong Python skills
  • Strong SQL skills
  • Data storytelling and technical presentation skills

Additional Information
Hours:
  • Monday - Friday, 8:00AM - 4:30PM

Location:
  • 820 Follin Lane, Vienna, VA 22180
  • 5510 Heritage Oaks Drive, Pensacola, FL 32526
  • 141 Security Drive, Winchester, VA 22602

Salary:
  • Associate Data Scientist: $70,000 - $118,050 annually
  • Data Scientist: $80,400 - $135,600 annually

About Us
Navy Federal provides much more than a job. We provide a meaningful career experience, including a culture that is energized, engaged and committed; and fierce appreciation for our teams, who are rewarded with highly competitive pay and generous benefits and perks.
Our approach to careers is simple yet powerful: Make our mission your passion.
  • FORTUNE 100 Best Companies to Work For® 2025
  • Yello and WayUp Top 100 Internship Programs
  • Computerworld® Best Places to Work in IT
  • Newsweek Most Loved Workplaces
  • 2025 PEOPLE® Companies That Care
  • Newsweek Most Trustworthy Companies in America
  • Military Times 2025 Best for Vets Employers
  • Best Companies for Latinos to Work for 2025
  • Forbes® 2025 America's Best Large Employers
  • Forbes® 2025 America's Best Employers for New Grads
  • Forbes® 2025 America's Best Employers for Tech Workers
  • 2025 RippleMatch Campus Forward Award Winner for Overall Excellence
  • Military.com Top Military Spouse Employers 2025
  • 2025 Handshake Early Talent Award

From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of, Navy Federal Credit Union.
Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to age, race, sex, color, religion, national origin, disability, veteran status, pregnancy, sexual orientation, genetic information, gender identity or any other basis protected by applicable law.
Accommodations: If you need accommodation or assistance for a qualifying condition to complete the online application (or during any stage of the hiring process), you can contact Navy Federal's Medical Accommodations team at medicalaccommodations@navyfederal.org or by calling 1-888-503-6013. This team cannot provide any information on job postings or application status.
Disclaimers: Navy Federal reserves the right to fill this role at a higher/lower grade level based on business need. An assessment may be required to compete for this position. Job postings are subject to close early or extend out longer than the anticipated closing date at the hiring team's discretion based on qualified applicant volume. Navy Federal Credit Union assesses market data to establish salary ranges that enable us to remain competitive. You are paid within the salary range, based on your experience, location and market position. For additional details regarding compensation and benefits, review the Benefits page of the Navy Federal Career Site.
Protect Yourself from Job Scams: Navy Federal Credit Union jobs are posted on our career site, jobs.navyfederal.org and reputable job boards (e.g., LinkedIn, Indeed). We do not post jobs on social media marketplaces, messaging apps or unverified websites. We will never ask candidates for payment, bank details or personal financial information during the hiring process.
Bank Secrecy Act: Remains cognizant of and adheres to Navy Federal policies and procedures, and regulations pertaining to the Bank Secrecy Act.

What Navy Federal Credit Union employees say

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Navy Federal Credit Union logo

About Navy Federal Credit Union

Sourced by ZipRecruiter

Navy Federal Credit Union, based in Vienna, Virginia, United States, is a significant player in the financial services industry. Their official website is navyfederal.org. With its roots dating back to 1933, it was initially established to provide credit to Navy members. Over the years, Navy Federal has magnified its scope, evolving into a full-service credit union serving all branches of the military, the Department of Defense, veterans, and their families. The company’s core values include integrity, service, education, and leadership. Navy Federal aims to be the most preferred and trusted financial institution serving the military and their families.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Vienna, VA, US

Year founded

1933