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Overnight Data Scientist Jobs (NOW HIRING)

Oats Overnight is on a mission to build a generational CPG brand. Since 2016, our high-protein ... Develop data-driven ingredient specifications and collaborate with suppliers to ensure consistency ...

Oats Overnight is on a mission to build a generational CPG brand. Since 2016, our high-protein ... Develop data-driven ingredient specifications and collaborate with suppliers to ensure consistency ...

Oats Overnight is on a mission to build a generational CPG brand. Since 2016, our high-protein ... Develop data-driven ingredient specifications and collaborate with suppliers to ensure consistency ...

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Overnight Data Scientist information

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$46K

$165K

$243.5K

How much do overnight data scientist jobs pay per year?

As of Sep 14, 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 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.

What skills and qualifications are needed to thrive as an overnight data scientist?

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 unique challenges do overnight data scientists face, and how can they collaborate effectively 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 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.

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:

What are popular job titles related to Overnight Data Scientist jobs?

For Overnight Data Scientist jobs, the most frequently searched job titles are:

Infographic showing various Overnight Data Scientist job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Science Analyst Revenue Management

Long Island City, NY • On-site

JetBlue Airways Corporation
Aviation • 10K+ employees

Full-time

Medical, Life, Retirement

Posted 4 days ago


JetBlue rating

7.6

Company rating: 7.6 out of 10

Based on 83 frontline employees who took The Breakroom Quiz


Job description

Position Summary

The Data Scientist Analyst – Revenue Management reports to the Manager, Revenue Management Systems Strategy & Optimization and is a member of the Revenue Management Systems Strategy & Optimization Team within IT Data. The team is dedicated to supporting the analytics and data science needs of the Revenue Management department and serves as the primary owner of the Revenue Management System.

The Data Science Analyst performs sophisticated analyses, including statistical analysis, in support of the data science and revenue management products developed by this team. They are responsible for Exploratory Data Analysis (EDA), including the development of insights for internal use as well as creating compelling visualizations and communicating findings effectively to technical and business audiences. They develop and maintain analytical support tools including dashboards and automated data-based workflows.

They will work with data scientists in a collaborative capacity, providing data-driven insights and business-based suggestions to guide the development of machine learning products. They will also work directly with analysts in the Revenue Management department to provide support related to both in-house and off-the-shelf data products, including the RMS. The Data Science Analyst will also support training and best practice development to empower the RM team’s day-to-day pricing and yield management effectiveness.

 

Essential Responsibilities

  • Collaborate with the Revenue Management department to translate their needs or challenges into analytical, machine learning or statistical problems.
  • Support the development of data products through exploratory data analysis, feature engineering, and development of basic machine learning models.
  • Leverage A/B testing techniques to uncover the underlying impact of RM strategies and external factors
  • Develop new Business Intelligence tools and/or update existing BI tools to integrate model outputs/recommendations in revenue managers’ workflows
  • Develop training and best practice processes for Revenue Management system users; study RMS intervention effectiveness and suggest workflow improvements as needed
  • Effectively communicate models and analytical outputs with the RM team, IT Data Science, and additional Commercial IT partners
  • Administer, maintain, and evaluate RM system business rules, settings, and data feeds
  • Own and continuously improve critical RM data processes to enable market management strategies
  • Effectively communicate experiments, models and analytics outputs with partners
  • Other duties as assigned

Minimum Experience and Qualifications

  • Bachelor’s Degree in computer science or a quantitative discipline; OR demonstrated capability to perform job responsibilities with a High School Diploma/GED and at least four (4) years of previous relevant work experience
  • One (1) years of relevant industry experience
  • Proficiency in Python, R, or Structured Query Language (SQL)
  • Data curiosity and motivation to develop data-driven solutions
  • Ability to communicate their findings to both technical and non-technical audience
  • Proficiency in statistical analysis and hypothesis testing
  • Full proficiency in Excel
  • Proficiency in Tableau or similar business intelligence tools
  • Ability to work independently and in a team environment
  • Excellent verbal and written communication skills
  • Available for overnight travel (10%)
  • Must pass a pre-employment drug test
  • Must be legally eligible to work in the country in which the position is located
  • Authorization to work in the US is required, this position is not eligible for visa sponsorship

Preferred Experience and Qualifications

  • Advanced degree in computer science, statistics, business, or a quantitative discipline
  • One (1) year analytics experience in either an airline or Revenue Management setting (airline RM preferred)
  • One (1) year experience working in Data Science in an industry setting.
  • Experience within the airline industry
  • Experience with revenue management, dynamic availability, and/or continuous pricing systems
  • Experience designing and conducting A/B testing and leveraging natural experiments where applicable
  • Experience building machine learning models
  • Experience working with data automations or orchestration tools such as Databricks Workflows

Crewmember Expectations:

  • Regular attendance and punctuality
  • Potential need to work flexible hours and be available to respond on short notice
  • Able to maintain a professional appearance
  • When working or traveling on JetBlue flights, and if time permits, all capable crewmembers are asked to assist with light cleaning of the aircraft
  • Must be an appropriate organizational fit for the JetBlue culture, that is, exhibit the JetBlue values of Safety, Caring, Integrity, Passion and Fun
  • Promote JetBlue’s #1 value of safety as a Safety Ambassador, supporting JetBlue’s Safety Management System (SMS) components, Safety Policy and behavioral standards
  • Identify safety and/or security concerns, issues, incidents or hazards that should be reported and report them whenever possible and by any means necessary including JetBlue’s confidential reporting systems (Aviation Safety Action Program (ASAP) or Safety Action Report (SAR))
  • Candidates must reside within 50 miles of any JetBlue BlueCity location and be able to attend in person collaboration sessions for a few days each month
  • The use of ChatGPT or any other automated tool during the interview process will disqualify a candidate from being considered for the position.

Equipment:

  • Computer and other office equipment

Work Environment:

  • Hybrid

Physical Effort: 

  • Generally not required, or up to 10 pounds occasionally, 0 pounds frequently. (Sedentary)

Compensation:

  • The base pay range for this position is between $95,000.00 and $135,000.00 per year. Base pay is one component of JetBlue’s total compensation package, which may also include access to healthcare benefits, a 401(k) plan and company match, crewmember stock purchase plan, short-term and long-term disability coverage, basic life insurance, free space available travel on JetBlue, and more.

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