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Night Shift Data Science Jobs in Washington (NOW HIRING)

Data Scientist - Senior

Washington, DC · On-site

$140K - $180K/yr

National Capital Region (NCR) Work Schedule: (shift hours and days of the week) 0600 and 1800 - 8 hours M-F Essential Responsibilities: * Lead data science efforts from problem framing through ...

Data Scientist - Senior

Washington, DC · On-site

$140K - $180K/yr

National Capital Region (NCR) Work Schedule: (shift hours and days of the week) 0600 and 1800 - 8 hours M-F Essential Responsibilities: * Lead data science efforts from problem framing through ...

Shift: First * Referral Eligibility: Eligible * U.S. Citizenship Required? Yes Position Summary Base-2 Solutions is seeking a Data Scientist to support a long-term mission-focused big data and ...

Data Scientist

Washington, DC · On-site

$112K - $179K/yr

If you're passionate about applying data science to real-world national security missions, we'd ... Depending on the position, employees may be eligible for overtime, shift differential, and a ...

Data Scientist

Washington, DC · On-site

$112K - $179K/yr

If you're passionate about applying data science to real-world national security missions, we'd ... Depending on the position, employees may be eligible for overtime, shift differential, and a ...

Data Scientist

Washington, DC · On-site

$112K - $179K/yr

If you're passionate about applying data science to real-world national security missions, we'd ... Depending on the position, employees may be eligible for overtime, shift differential, and a ...

Data Scientist LCAT: Mid Locations: DIAC, Joint Base Anacostia Bolling Shift: No Required clearance: Active TS/SCI clearance with active CI poly conducted within the past seven years Required ...

Data Scientist

Chantilly, VA · On-site +1

$200K - $240K/yr

Modeling/Sim Engr Schedule: Full-Time Shift: Day Job Travel: No Minimum Clearance Required: TS.SCI ... Experience in applying modern techniques in artificial intelligence (AI), data science, machine ...

Data Center Manager (Night Shift)

Manassas, VA · On-site

$167K/yr

... day data center operations including queue management, 7/24 shift arrangement and hardware ... in computer science, engineering, mathematics or equivalent - 2+ years of people management ...

Data Scientist - Sr

Washington, DC · On-site

$120 - $180/hr

Data Scientist LCAT: Mid Locations: DIAC, Joint Base Anacostia Bolling Shift: No Required clearance: Active TS/SCI clearance with active CI poly conducted within the past seven years Required ...

Data Scientist LCAT: Mid Locations: DIAC, Joint Base Anacostia Bolling Shift: No Required clearance: Active TS/SCI clearance with active CI poly conducted within the past seven years Required ...

Showing results 21-40

Night Shift Data Science information

See Washington salary details

$47K

$161.3K

$227.7K

How much do night shift data science jobs pay per year?

As of Sep 6, 2026, the average yearly pay for night shift data science in Washington is $161,350.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,200.00 and $188,600.00 per year, depending on experience, location, and employer.

What is a night shift data science?

A Night Shift Data Science job involves analyzing data, building models, and generating insights during nighttime hours, often to support global teams or ensure real-time monitoring and reporting. Companies in finance, e-commerce, healthcare, and cybersecurity may require night shift data scientists to handle live data streams, anomaly detection, or urgent analytical tasks. This role typically demands strong data science skills, proficiency in tools like Python, SQL, and machine learning frameworks, and the ability to work independently with minimal supervision.

What are the key skills and qualifications needed to thrive in night shift data science?

To thrive as a Night Shift Data Scientist, you need solid expertise in statistics, data modeling, and programming languages such as Python or R, often supported by a degree in data science, mathematics, or a related field. Proficiency with data visualization tools, databases, and, ideally, certifications in data analytics or machine learning are valuable for this position. Strong analytical thinking, attention to detail, and adaptability to work independently during off-hours are critical soft skills. These qualifications enable effective problem-solving, timely delivery of insights, and seamless support for organizations operating around the clock.

What are the unique challenges of working as a data scientist during the night shift, and how is teamwork managed?

Night shift data scientists often work with less immediate supervision and may face challenges coordinating with teams who operate during regular business hours. To overcome this, organizations typically implement robust collaboration tools, detailed hand-off procedures, and clear documentation to ensure smooth project continuity across shifts. Night shift roles frequently require stronger initiative, proactive communication skills, and the ability to troubleshoot and solve problems independently. Despite the schedule, you’ll often interact with global teams or provide critical support for time-sensitive projects, making adaptability and self-motivation essential for success.

What are popular job titles related to Night Shift Data Science jobs in Washington?

For Night Shift Data Science jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Night Shift Data Science jobs in Washington look for?

The top searched job categories for Night Shift Data Science jobs in Washington are:

What cities in Washington are hiring for Night Shift Data Science jobs?

Cities in Washington with the most Night Shift Data Science job openings:

Data Scientist - Multiple Levels (TS/SCI with Poly Required)

Red Alpha

Columbia, MD

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 26 days ago


Job description

A little about us:
The Red Alpha Data Science practice grew out of Red Alpha's reputation in Software and System Engineering with our Department of Defense clients. As sometimes happens, customers who trust our expertise in adjacent areas asked Red Alpha to assist with some of their burgeoning Data Science problems.

Culturally, it probably suffices to say that we take our work seriously, but not ourselves. Our leaders have spent time in the trenches and have cursed daylight savings time changes and trailing whitespace as many times as you have. We like to say that we spend 80% of our time cleaning the data...and 20% of our time complaining about cleaning the data. Joking aside, our voices matter, and it is easy to see how our decisions affect the Data Science practice and Red Alpha as a whole. We have a clear vision of where we are headed.     

Our team takes a pragmatic approach to Data Science, defining it loosely as the intersection of technical expertise, business acumen, and soft skills to solve business problems with data. We spend a lot of time trying to understand the problem before we set about building a solution, and we prefer lower tech useful solutions over shiny algorithms and dust on the shelf. Did we mention we’re pragmatic? We have a diverse set of skills across our team, and whether you are a traditional Data Scientist (whatever that means…), an Applied Research Mathematician, a Database Engineer, a Full Stack Developer, or something else in that neighborhood, if you have a knack for picking apart data to make sense of it, we would enjoy having a conversation with you.     

A day in the life:
You’ll likely start your day at a customer location near our Red Alpha offices, checking to see if there are any important items that have just come up. If not, you’ll move on to improving a dashboard or other data product that you’re responsible for, or perhaps produce a weekly output the customer is expecting. You’ll be using R or Python a lot, but also Git, Mongo, some commercial software and several other usual suspects. Once a week you’ll attend a team meeting (with 4 others) to prioritize things, and you’ll have a lot of interaction with the team otherwise, typically several times per day. You’ll need your sense of humor and need to be willing to leave your ego at the door.     
     
What you bring to the table:
Now on to the fun of formal requirements - we have to apologize in advance for the corporate-speak here, but just hold your breath for a few lines and everything will be okay. We are actively hiring data professionals for roles across a broad range of skill levels and projects. Our goal is to find the best fit for you so please note that if you apply to one of them and we see a fit elsewhere we will let you know. So do not worry about applying initially for every position you might be interested in.
All of our data scientists need the following skills:     
  • Proficiency with a scripting language such as R or Python
  • Experience with data science techniques and algorithms such as classification, clustering, random forests, deterministic forests (jk), hierarchical modeling, deep learning, Markov Chain Monte Carlo, and others. Note that you do not need to have all of these (we hope you enjoyed our random smattering of techniques…!) but you should be comfortable and capable with several of them and know some others not on this list.
  • A B.S. Degree in Data Science, Mathematics, Computer Science or related field.
  • For entry-level data scientists, 0-3 years of experience on Data Science projects.
  • For mid-level data scientists, 3-6 years of experience on Data Science projects.
  • For senior-level data scientists, at least 6 years of experience on Data Science projects with at least 3 years of experience managing teams.
  • A TS/SCI with Polygraph security clearance.
These are important skills to have, but not necessarily mandatory:     
  • Exceptional interpersonal skills. You know, as in you might not be at the top of the list to be a game show host but you do like people and enjoy solving problems jointly with your colleagues.
  • Experience with Java, C, or other compiled languages
  • Comprehensive knowledge of Saturday Night Live sketches (just kidding)
  • Experience with SQL/NoSQL, Spark, Hadoop
  • Familiarity with Javascript and Scripting
  • Familiarity with Docker, GitLab, and React

The total package:
 
Our total compensation package was strategically designed with our members in mind with the intention to: reward our members for their hard work and commitment to our customers' missions; allow members to share in Red Alpha's success as we continue to grow and expand our footprint; provide long-term career opportunities through stability and internal mobility; and provide the resources our members need to support themselves and their dependents in the form of a robust benefits package.  Our total compensation package includes a competitive base salary and benefits such as health, life/disability, 401k, paid time off, professional development, and generous bonus programs.  Please visit our benefits tab for additional information. 
 
Salary Range:   
  • Disclosed pay ranges are a general guideline, and are not a guarantee of a final salary or compensation.  Our approach in determining final salaries takes into consideration a number of factors such as education, certifications, total years of relevant professional experience, actual level of expertise, and the responsibilities of the role itself. 
  • Based on the outlined roles, responsibilities, and requirements, the  projected pay range for these positions are:
    • Entry-level:  $95,000 - $135,000
    • Mid-level: $110,000 - $155,000 
    • Senior-level:  $135,000 - $235,000
Some of our additional perks and benefits include:                 
  • Retire sooner than planned: Get closer to retirement with up to 10% in 401k contributions, immediately vested. 
  • Have a career AND a life: Enjoy up to 5 weeks of leave (25 days of personal time off) and 11 paid floating holidays.
  • Stay at your best: As a member, we'll pay 100% of your premiums for comprehensive health, dental, and vision insurance. We'll also pay the majority of the premiums for your family.  Let's not forge free access to a fully equipped state of the art gym!
  • Keep current on new technologies and technological advancements:  $5250 per year towards ongoing education, trainings, certifications, and maintaining professional memberships. 
  • Dress in style:  Spend up to $300 per year on company branded merchandise featuring top quality brands such as Under Armour, Nike, Carhartt, YETI, etc.
  • Enjoy the culture:  Attend fun company events throughout the year such as our Oktoberfest, summer picnic, and annual holiday party!  These are all in additon to your team events which may include happy hours, baseball games, snowboarding, RenFest, and more!
 
Every day, our elite customers are pushing through "the grind" to defeat the enemy, even putting their lives on the line for our freedom. Rise to the occasion with us to deliver engineering excellence, to match their dedication to this nation. Join us as we bring digital transformation to the fight!