1

Overnight Data Scientist Jobs (NOW HIRING)

The Senior Data Scientist will be a key architect in building next-generation agentic systems ... Typically requires overnight travel less than 10% of the time. Physical Requirements: * Most of the ...

Associate Director, Data Science

Knoxville, TN ยท On-site

$56K - $56K/yr

This role is foundational to leading our Data Science Team, which partners with our Analytics ... Job may require traveling overnight, driving long distances as required and sitting for extended ...

... a Data Scientist Mentor. Your passion is establishing connections between external community ... overnight stays - Work extended hours; sit for long periods 08-2021 CPFA3232 DATANL3232 ...

... a Data Scientist Mentor. Your passion is establishing connections between external community ... overnight stays - Work extended hours; sit for long periods 08-2021 CPFA3232 DATANL3232

The Data Science Manager is responsible for leading a team of data scientists (individual ... Typically requires overnight travel 5% to 20% of the time. Physical Requirements: * Most of the ...

The Data Science Manager is responsible for leading a team of data scientists (individual ... Typically requires overnight travel 5% to 20% of the time. Physical Requirements: * Most of the ...

The Data Science Manager is responsible for leading a team of data scientists (individual ... Typically requires overnight travel 5% to 20% of the time. Physical Requirements: * Most of the ...

next page

Showing results 1-20

Overnight Data Scientist information

See salary details

$46K

$165K

$243.5K

How much do overnight data scientist jobs pay per year?

As of Jun 12, 2026, the average yearly pay for overnight data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What are some unique challenges faced by overnight data scientists, and how can they effectively collaborate with daytime teams?

Overnight data scientists often work during non-standard hours, which can present challenges such as limited real-time communication with colleagues and delayed feedback from stakeholders. To overcome these, it's important to document work thoroughly, use collaborative tools for updates, and schedule regular check-ins with daytime teams. Many organizations implement overlapping hours or handoff protocols to ensure smooth transitions and maintain project momentum. This structure not only supports effective collaboration but also helps overnight data scientists stay aligned with broader team objectives.

What are the key skills and qualifications needed to thrive as an Overnight Data Scientist, and why are they important?

To thrive as an Overnight Data Scientist, you need a strong background in statistics, programming (Python or R), and data analysis, typically supported by a degree in a quantitative field. Familiarity with machine learning libraries, big data platforms (like Hadoop or Spark), and cloud services (such as AWS or Azure) is commonly required. Excellent problem-solving skills, attention to detail, and the ability to work independently during non-standard hours are key soft skills for this role. These competencies are essential to deliver reliable insights, maintain data pipelines, and ensure critical analyses are completed without direct supervision during overnight shifts.

What is the difference between Overnight Data Scientist vs Data Analyst?

AspectOvernight Data ScientistData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; often some coding skillsBachelor's in Data Analysis, Statistics, or related field; may have certifications
Work EnvironmentTypically in tech companies, finance, or healthcare; may work night shiftsIn offices, retail, or corporate settings; standard daytime hours
Employer & Industry UsageUsed in industries requiring 24/7 data monitoring and analysisCommon in business, marketing, and operations for routine data reporting

The Overnight Data Scientist focuses on advanced data modeling and machine learning during night shifts, often requiring programming skills and specialized knowledge. In contrast, Data Analysts primarily handle data reporting and visualization during regular hours. Both roles are essential but differ in complexity, work hours, and technical requirements.

What is an Overnight Data Scientist?

An Overnight Data Scientist is a professional who works late-night or overnight shifts to analyze data, build models, and generate reports outside of typical business hours. This role is essential in industries that operate around the clock or require data processing to be completed by the start of the next business day. Overnight Data Scientists may collaborate with global teams, address urgent data issues, and ensure continuous data pipeline operations. Their responsibilities often mirror those of daytime data scientists but are tailored toward tasks that benefit from overnight completion.
More about Overnight Data Scientist jobs
What cities are hiring for Overnight Data Scientist jobs? Cities with the most Overnight Data Scientist job openings:
What are the most commonly searched types of Data Scientist jobs? The most popular types of Data Scientist jobs are:
What states have the most Overnight Data Scientist jobs? States with the most job openings for Overnight Data Scientist jobs include:
Infographic showing various Overnight Data Scientist job openings in the United States as of June 2026, with employment types broken down into 50% Full Time, 25% Part Time, and 25% Contract. Highlights an 100% In-person job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Data Scientist/Engineer - Junior (Remote)

Data Scientist/Engineer - Junior (Remote)

SynergisticIT

Hartford, CT โ€ข On-site, Remote

Other

Posted 29 days ago


Job description

Job Search Feeling Like Guesswork? Applied to 200+ Jobs and Still No Interviews? Applied Everywhere?

Still No Interviews or Offers? Get Hired with a Process! Many job seekers assume the tech market has shut down, but the truth is companies are still hiring โ€” they're just being more selective.

That means only the most prepared, polished, and employerโ€ready candidates get through.If you've sent out hundredsโ€”maybe thousandsโ€”of applications and your inbox is still silent, it doesn't mean you're not capable. It usually means your profile isn't lining up with how companies filter, shortlist, and interview candidates right now. In today's market, employers expect more than a degree or a few tutorial projects.

They want candidates who look job-ready on paper, sound confident in interviews, and demonstrate hands-on ability in the tools teams actually use. That's exactly what SynergisticIT solvesโ€”because the real challenge isn't learning in isolation. The real challenge is translating learning into interviews and offers.

Since 2010, SynergisticIT has helped thousands of candidates secure full-time roles with leading companies and recognizable brandsโ€”think Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Walmart Labs, Client, Banking, Client, Wayfair, and many moreโ€”often in the $95k to $154k offer range depending on role, location, and skillset. The purpose of SynergisticIT is simple: close the gap between what you know and what employers expect you to prove. Here's the truth employers hire based on whether you can handle real workโ€”clean coding, debugging, teamwork workflows, version control, APIs, cloud basics, deployment pipelines, and the ability to explain what you did.

That's why SynergisticIT emphasizes structured skill-building, project depth, resume positioning, interview readiness, and support through the job-search process. What roles are in demand right now? A lot of jobseekers assume they must become "AI expertsโ€ overnight.

Not true. Many companies are actively hiring professionals in core roles that run modern software teams. In JOPP, the demand typically includes roles such as entry-level software programmer, Java full stack developer, Python/Java developer, data analyst, data engineer, data scientist, and machine learning/AI engineer.

In other words, SynergisticIT focuses on building candidates across Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / ML/AI based on what employers repeatedly request. Who benefits most from this model? If you're applying and not seeing results, you're likely in one of these situations: You have skills, but your resume doesn't show impact and your projects look generic You know tools, but you can't explain them confidently in interviews You've learned from courses, but you lack real-world structure and job alignment You've built a portfolio, but it doesn't match what hiring managers evaluate SynergisticIT works especially well for candidates such as: recent grads in CS/Engineering/Math/Stats, jobseekers who were laid off and need an updated stack, career switchers who want a guided plan, candidates with career gaps, people with "learning but not hiredโ€ bootcamp history, experienced professionals not landing interviews, and international candidates on F1/OPT needing a clear employment pathway.

SynergisticIT also supports candidates with guidance around STEM extension, and provides process support for H-1B and Green Card filing once employed (as applicable through employers and standard processes). If you want to explore here are the key links: Event videos (OCW, JavaOne, Gartner): USA Today feature Client JOPP: Job Placement Program Contact Us https://www.synergisticit.com/contact-us/ You don't need more random applications. You need a job-ready plan.

Start smarterโ€”start with the right support. Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT What Recruiters Look for in Junior Developers | SynergisticIT Software engineering or Data Science as a career? Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req.

Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.