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Overnight Data Scientist Jobs in Indiana (NOW HIRING)

BA/BS in Public Health, Health Informatics, Data Science, Information Technology, or a related ... overnight travel. The noise level in the office work environment is typical of a normal office ...

Lead Wetland Scientist

Walkerton, IN · On-site

$73K - $105K/yr

Data management and analysis. * Attend client/regulatory meetings and provide input. * Possible ... Able and willing to travel regionally with overnight stays as needed * Good driving record and ...

Lead Wetland Scientist

Indianapolis, IN · On-site

$73K - $105K/yr

Data management and analysis. * Attend client/regulatory meetings and provide input. * Possible ... Able and willing to travel regionally with overnight stays as needed * Good driving record and ...

Maintain/distribute material safety data sheets. * Provide Fire Safety/maintain fire extinguishers ... Minimum Qualifications * BS in a field of science or Health Safety * 5+ years of safety experience

Maintain/distribute material safety data sheets. * Provide Fire Safety/maintain fire extinguishers ... Minimum Qualifications * BS in a field of science or Health Safety * 5+ years of safety experience

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Overnight Data Scientist information

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.

What are the most commonly searched types of Data Scientist jobs in Indiana?

The most popular types of Data Scientist jobs in Indiana are:

What job categories do people searching Overnight Data Scientist jobs in Indiana look for?

The top searched job categories for Overnight Data Scientist jobs in Indiana are:

Data Wearable Manager

Indianapolis, IN • On-site

Other

Posted 4 days ago


Job description

SUMMARY

The Data/Wearables Manager is a grant funded positions for developing and managing the RHTP grant's wearable device strategy and the data systems that support it, including procurement, distribution, and use of devices to drive real-time participant engagement, behavior change, and data collection. This position ensures data security and integration across program, evaluation, and reporting systems. The Manager reports to the Evaluation Director.

RESPONSIBILITIES, ESSENTIAL FUNCTIONS & KEY DELIVERABLES Wearable Device Strategy
  • Develop and oversee deployment of the grant's wearable device strategy, including procurement, distribution, and ongoing support.
  • Manage relationships with device vendors, ensuring cost-effective procurement and responsive technical support.
  • Establish protocols for device distribution, participant onboarding, troubleshooting, and device return/reuse.
Data Collection & Systems Management
  • Oversee data collection systems that support real-time participant engagement and behavior-change tracking from wearable devices.
  • Ensure data security, privacy, and compliance with grant and YMCA data-handling requirements.
  • Maintain integration between wearable-generated data and the grant's broader data collection and reporting systems.
Collaboration & Reporting
  • Partner with the Evaluation Manager to ensure wearable-generated data supports outcome monitoring and grant reporting.
  • Train local Y staff and the Community Integrated Health Manager/coordinators on device distribution and troubleshooting.
  • Perform other duties/assignments as needed at the Indiana Alliance of YMCAs
QUALIFICATIONS

To perform this job successfully, an individual must be able to perform each essential function satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

  • BA/BS in Public Health, Health Informatics, Data Science, Information Technology, or a related field required.
  • Minimum of 3 years' experience with wearable or health technology, health data systems, or digital health program management.
  • Experience with data collection platforms, device management systems, and data privacy/security practices; familiarity with HIPAA preferred.
  • Strong technical troubleshooting and vendor management skills.
  • Comfortable training staff and participants on device use across in-person and virtual, rural settings.
  • Proficient in Microsoft Office Suite and comfortable working within data collection and reporting systems.
  • Completion of all position-specific and mandatory YMCA training within specified deadlines.
PHYSICAL DEMANDS & WORK ENVIRONMENT

While performing the duties of this job, the employee is regularly required to sit and use hands to finger, handle, or feel, and to talk and hear. The employee is occasionally required to stand, walk, climb stairs, and reach with hands and arms. The employee must occasionally lift and/or move up to 25 pounds. Specific vision abilities required include close vision, distance vision, color vision, peripheral vision, and the ability to adjust focus.

This position requires frequent statewide travel, including to rural communities, partner sites, and program events across Indiana, sometimes requiring overnight travel. The noise level in the office work environment is typical of a normal office; noise levels during site visits may be moderate to occasionally loud.

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