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Overnight Data Science Physics Jobs (NOW HIRING)

GenLogs

Data Scientist

ABOUT THE DATA TEAM The Data Science team at GenLogs transforms raw observational data from the ... You bring a background in engineering, computer science, physics, applied math, or another hard ...

Roblox

Principal Data Scientist - Safety

San Mateo, CA · On-site

WHY DATA SCIENCE & ANALYTICS? The Data Science & Analytics organization's mission is to increase ... Advanced Degree and/or PhD in Statistics, Computer Science, Physics, Applied Math, Economics, or ...

DEUNA

Data Science intern

San Francisco, CA · On-site

Data Science * Statistics * Mathematics * Engineering ... Economics * Physics * Or a related quantitative field. We may use artificial intelligence (AI ...

Amgen SA

$110 - $170/hr

MS or PhD in Statistics/Biostatistics, Mathematics, Computer Science, Data Science, Physics, Informatics, Life Sciences, or quantitative related field. * A proven ability to write robust code in R ...

Amgen, Inc.

Data Scientist

MS or PhD in Statistics/Biostatistics, Mathematics, Computer Science, Data Science, Physics, Informatics, Life Sciences, or quantitative related field. * A proven ability to write robust code in R ...

Databricks

Staff Data Scientist

San Francisco, CA · On-site

P-57 At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems ... D. in quantitative fields (e.g., Statistics, Math, Computer Science, Physics, Economics ...

Amgen

Data Scientist

MS or PhD in Statistics/Biostatistics, Mathematics, Computer Science, Data Science, Physics, Informatics, Life Sciences, or quantitative related field. * A proven ability to write robust code in R ...

Initial Therapeutics, Inc.

Data Scientist

Washington, DC · On-site

$120 - $170/hr

MS or PhD in Statistics/Biostatistics, Mathematics, Computer Science, Data Science, Physics, Informatics, Life Sciences, or quantitative related field. * A proven ability to write robust code in R ...

OpenX

Staff Data Scientist

Manhattan, NY · On-site

$195.50 - $218.50/hr

D. in Data Science, Machine Learning, Computer Science, Physics, Mathematics, Operations Research, or a related technical field with 6+ years of relevant industry experience; OR M.S./B.S. with 8+ ...

Tapestry

Data Science Manager

Mountain View, CA

Data Scientists work across the organization to help shape our business and technical strategies by ... Experience with electric power grid data, and physics based understanding of electrical networks ...

Tapestry

Data Science Manager

Mountain View, CA · On-site

Data Scientists work across the organization to help shape our business and technical strategies by ... Experience with electric power grid data, and physics based understanding of electrical networks ...

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Overnight Data Science Physics information

What is the difference between Overnight Data Science Physics vs Data Analyst?

AspectOvernight Data Science PhysicsData Analyst
Required CredentialsDegree in Physics, Data Science, or related field; programming skillsBachelor's in Statistics, Economics, or related field; analytical skills
Work EnvironmentTech companies, research labs, finance firms; often shift-basedCorporate offices, consulting firms; regular business hours
Industry UsageData-driven research, modeling, and simulation in physics and techBusiness insights, reporting, and data visualization across industries
Search & Comparison IntentUnderstanding job differences, qualifications, or shift workCareer planning, role comparison, or job requirements

Overnight Data Science Physics roles focus on applying physics principles to data modeling, often requiring advanced technical skills and shift work. Data Analysts typically handle business data analysis during regular hours, emphasizing reporting and visualization. Both roles involve data handling but differ in industry focus, work hours, and required expertise.

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Overnight Data Science Physics jobs near you
Infographic showing various Overnight Data Science Physics job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Data Scientist

GenLogs

Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted yesterday

Job description

GenLogs is a transportation-technology company building the next generation of truck intelligence. Through a nationwide network of sensors and proprietary data, we deliver real-time, high-fidelity insights into freight movement for commercial supply-chain customers and public-sector agencies. Our mission is to strengthen America's logistics backbone, combat freight fraud and cargo theft, and provide near-instantaneous visibility into commercial motor vehicle activity across major freight corridors. By operating at the intersection of edge sensing, computer vision, AI-driven analytics, and large-scale field deployment, GenLogs is transforming how transportation data is captured, secured, and commercialized.
ABOUT THE DATA TEAM
The Data Science team at GenLogs transforms raw observational data from the Trident sensor network into high-value intelligence used by law-enforcement agencies, regulators, ports, and private-sector freight operators. We build models, analytics, and measurement frameworks that enable vehicle detection, entity resolution, behavioral insights, fraud and theft indicators, compliance signals, and network-wide operational performance metrics. Our work sits at the center of the freight intelligence platform, shaping how billions of roadside observations become actionable information. We partner closely with Engineering and Product to deploy algorithms at scale and with Go-to-Market teams to define customer-facing analyses that drive real operational outcomes. The team blends statistical rigor, ML capability, and domain expertise to create a new standard for freight intelligence in the United States.
ABOUT THE JOB
You're a problem solver at heart. You thrive at the intersection of engineering, math, and machine learning, and you're motivated by questions that don't have obvious answers. You bring a background in engineering, computer science, physics, applied math, or another hard science discipline, and you enjoy applying that technical foundation to real-world ML challenges.
You are energized by ambiguity, obsessed with understanding how complex systems behave, and capable of breaking down big problems into tractable iterations. You ask great questions, validate assumptions with data, and are relentless in your pursuit of signal over noise.
WHAT YOU'LL DO
  • Build machine-learning systems that power some of the most advanced logistics intelligence products in the industry
  • Analyze large, noisy datasets from cameras, OCR, detections, and geospatial pipelines to uncover actionable patterns
  • Design and evaluate algorithms for truck re-identification, geospatial clustering, equipment classification, OCR text labeling, anomaly detection, and more
  • Collaborate with engineering and data engineering teams to scale models from prototype to production
  • Work closely with product teams to deeply understand customer needs and translate them into modeling and analytics initiatives
  • Apply scientific thinking to continuously test, iterate, and refine approaches as new data becomes available

REQUIRED QUALIFICATIONS
  • 2-5 years of professional experience in Data Science, Machine Learning, or Software Engineering
  • Technical foundation in engineering, physics, math, computer science, or related applied fields
  • Experience deploying or building models using:
    • Machine learning fundamentals (classification, clustering, time-series, anomaly detection)
    • Computer vision (OCR, object detection, embeddings)
    • Geospatial data analysis (mapping, clustering, location intelligence)
    • Association/sequence pattern mining, feature engineering, or algorithm development
  • Experience working with cloud-based data tooling (Snowflake, AWS) - not required but nice to have
  • Strong programming skills in Python and comfort with modern data/ML libraries (PyTorch, Pandas, Scikit-learn, etc.)
  • Comfort working with real-world messy datasets (sensor data, imagery, telematics, transactional freight data)

WHO WILL SUCCEED HERE
You will love this role if you are:
  • Relentlessly curious - you ask "why?" repeatedly until you reach the root
  • Technically fearless - not afraid to dive into large datasets, new ML techniques, or unfamiliar codebases
  • Impact-driven - you want your models to power real, high-stakes decisions in a massive industry
  • Comfortable with ambiguity - our data is large, messy, and evolving, and that excites you
  • Collaborative - you enjoy working with engineers, data teams, and product stakeholders to deliver real customer value

US SALARY RANGE
GenLogs establishes compensation based on role, level, experience, and location. Salary bands are benchmarked against high-growth technology companies and adjusted for market conditions. Equity grants are included in most full-time offers to ensure every team member participates in the company's long-term value creation. A recruiter will provide a precise range during the hiring process.
BENEFITS
Healthcare (US based only)
  • Employer-covered comprehensive medical, dental, and vision plans
  • Employer contribution towards premiums of optional higher-end plans

Time Off
  • Unlimited PTO
  • Sick leave
  • Company holidays (GenLogs observes all US Government holidays)
  • Flexible leave for caregiving and medical needs

Family Support
  • Paid parental leave

Professional Development
  • Budget availability for approved professional development courses, certifications, and training

Travel Support
  • 100% travel reimbursement for all approved company travel and spending

Retirement Savings
  • 401(k) plan (US based employees)

A recruiter can provide more detail about the specific compensation and benefits associated with this role.

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