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Overnight Data Science Physics Jobs (NOW HIRING)

OpenX

Staff Data Scientist

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

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 ...

OpenX

Staff Data Scientist

New York, NY · Remote

$195K - $218K/yr

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

IVC District No. 321

Physics Teacher

Chillicothe, IL · On-site

... earth science, biology, physiology, chemistry, physics, and other related areas (e.g., mathematics). - Knowledge of data information systems, data analysis and the formulation of action plans ...

OpenX

Staff Data Scientist

New York, NY · On-site +1

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

OpenX

Staff Data Scientist

New York, NY · On-site

Ph.D. in Data Science, Machine Learning, Computer Science, Physics, Mathematics, Operations Research, or 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 ...

Expedia

Data Scientist, Growth Marketing

Seattle, WA

... Science, Physics, or similar). * 7+ years in data science / advanced analytics, including 2+ years directly managing or formally leading data scientists or analysts. Comparable leadership experience ...

New

Auto-Owners Insurance

Data Scientist

Lansing, MI · On-site

Mathematics, Statistics, Computer Science, Physics, Operations Research, Economics, Electrical Engineering, etc.) * Proficiency in SQL or other data querying language * An understanding of ...

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 ...

LLNL

Data Science Engineer

Livermore, CA · On-site

$121K - $154K/yr

Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, Physics, or a related technical field. * Experience with Python programming and software development ...

Tatari

Data Science Manager

Los Angeles, CA

$160K - $220K/yr

Master's degree or equivalent experience in a technical field (e.g., Computer Science, Mathematics, Physics, Data Science, etc.) * Minimum 2 years of management experience, plus minimum of 6 years of ...

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Overnight Data Science Physics information

Can data scientists make $300k?

Data scientists, including those working in specialized fields like physics or with advanced skills in machine learning and big data, can earn $300,000 or more at senior levels or in high-paying industries such as finance or technology. Achieving this salary typically requires extensive experience, advanced degrees, and proficiency with tools like Python, R, and cloud platforms. Entry-level or mid-career data scientists usually earn less than this amount.

Can a physics major be a data scientist?

Yes, a physics major can become a data scientist, as the field values strong analytical, mathematical, and programming skills often developed in physics programs. Additional knowledge of data analysis tools like Python, R, and machine learning techniques can enhance their qualifications for data science roles.

Is 40 too late for data science?

Age is not a barrier to entering data science, including roles like overnight data science positions. Success depends on skills, experience, and continuous learning; many professionals transition into data science later in their careers by acquiring relevant knowledge in programming, statistics, and machine learning tools.

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.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or data features. Data scientists often focus on the most impactful features or data subsets to optimize model performance and reduce complexity.
More about Overnight Data Science Physics jobs
What cities are hiring for Overnight Data Science Physics jobs? Cities with the most Overnight Data Science Physics job openings:
What are the most commonly searched types of Data Science Physics jobs? The most popular types of Data Science Physics jobs are:
What states have the most Overnight Data Science Physics jobs? States with the most job openings for Overnight Data Science Physics jobs include:
What job categories do people searching Overnight Data Science Physics jobs look for? The top searched job categories for Overnight Data Science Physics jobs are:
Overnight Data Science Physics jobs near you
Infographic showing various Overnight Data Science Physics job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 20% Full Time, and 79% Part Time. Highlights an 90% Physical, and 10% Remote job distribution.
Staff Data Scientist - Infrastructure

Staff Data Scientist - Infrastructure

Databricks

Mountain View, CA

Other

Posted 7 days ago

Job description

P-57

At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions.

Founded in 2013 by the original creators of Apache Spark, Databricks has grown from a tiny corner office in Berkeley, California to a global organization with over 1000 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest growing SaaS companies in the world.

Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security and scale that is critical to making customers successful on our platform.

We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above.

As a Data Scientist on the Data Team, you will help build a data-driven culture within Databricks by helping work on top priorities for the company. The Data team also functions as an in-house, production "customer" that dog foods Databricks and drives the future direction of the products.

The impact you will have:

  • "Analysis at the speed of thought": Inform decision making by building robust data science tooling for business leaders, analysts, and other data scientists. 
  • "Extend capabilities of Databricks": Work closely with Data Platform and Product Engineering teams to integrate data science tooling with existing Data team offerings and the core product 
  • "Strategic business insights": Lead insight generation for top company priorities, and key Engineering initiatives (reliability, and efficiency). 
  • Gather changing requirements, define project OKRs and milestones, and communicate progress and results to both technical and non-technical audiences.
  • Mentor and guide junior data scientists on the team by helping with project planning, technical decisions, and code and document review.
  • Represent the data science discipline throughout the organization, having a powerful voice to make us more data-driven.
  • Represent Databricks at academic and industrial conferences & events.

What we look for:

  • 7+ years of data science, machine learning, advanced analytics experience in high velocity, high-growth companies
  • Extensive experience in applying Data Science / ML in production to build data-driven products for solving business problems.
  • Experience collaborating with and understanding the needs of Senior level stakeholders from a variety of functions including: Engineering, Product,  and Technical Operations.
  • Ability to deal with ambiguity in fast paced environments by clarifying requirements and having a keen sense of 0 to 1 solutions.
  • Adept at operating both as an individual contributor and identifying how to orchestrate the build through peers and investments in scalable tooling. 
  • Strong coding skills in Python and SQL
  • Experience with distributed data processing systems like Spark and familiarity with software engineering principles around testing, code reviews and deployment.
  • M.S. or Ph.D. in quantitative fields (e.g., Statistics, Math, Computer Science, Physics, Economics, Operational Research or Engineering)

Apply