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Summer Data Science Physics Jobs (NOW HIRING)

Data Scientist I

Saint Louis, MO · On-site

$70K - $110K/yr

We're seeking a Data Scientist who combines technical expertise with strong interpersonal skills to ... Bachelor's degree in mathematics, statistics, computer science, physics, or a STEM related field ...

MS degree with 3+ years of experience, and/or PhD in Statistics, Data Science, Applied Mathematics, Computer Science, Physics or other related discipline (or equivalent experience) * Desire to tackle ...

Data Scientist

Fort George G Meade, MD · On-site

$141K - $236K/yr

Bachelor's degree in quantitative or technical field (e.g., statistics, mathematics, operations research, engineering, computer science, data science, physics, or related discipline) or 4 additional ...

MS degree with 3+ years of experience, and/or PhD in Statistics, Data Science, Applied Mathematics, Computer Science, Physics or other related discipline (or equivalent experience) * Desire to tackle ...

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 ...

At the end of the summer, you'll present your work to our executive leadership team, department ... As a Data Scientist Intern, you'll join Fervo's Data Science team to help build models and analyses ...

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

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 ...

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 ...

Showing results 41-60

Summer Data Science Physics information

What is a Summer Data Science Physics?

A Summer Data Science Physics job is a temporary, usually internship-based position where students or recent graduates apply data science techniques to solve problems in physics. These roles typically involve working with large datasets, coding in languages like Python, and using statistical or machine learning methods to analyze experimental or simulation data. The goal is to gain hands-on experience at the intersection of physics and data science, often contributing to research projects or industry applications. Such positions are common at universities, research labs, and tech companies during the summer months, providing valuable exposure to both fields.

What are the key skills and qualifications needed to thrive as a Summer Data Science Physics intern?

To thrive as a Summer Data Science Physics intern, you need a solid background in physics, statistics, and programming, typically supported by coursework or a degree in physics, data science, or a related field. Familiarity with programming languages such as Python, data analysis libraries (e.g., NumPy, Pandas), and data visualization tools is often required. Strong analytical thinking, problem-solving abilities, and effective communication skills help you interpret complex data and present findings clearly. These skills are crucial for extracting meaningful insights from scientific data and contributing to research projects in a collaborative environment.

What types of projects or research tasks can I expect to work on in a Summer Data Science Physics role?

In a Summer Data Science Physics position, you'll likely engage in projects that involve analyzing large datasets from physics experiments or simulations. Common tasks include data cleaning, statistical analysis, building predictive models, and visualizing results to support ongoing research. You'll often collaborate with physicists and data scientists, contributing to the interpretation of experimental data or the development of computational tools. This role offers a fast-paced, collaborative environment where you'll gain hands-on experience with both physics concepts and practical data science techniques.

What is the difference between Summer Data Science Physics vs Summer Data Science Engineering?

AspectSummer Data Science PhysicsSummer Data Science Engineering
Required CredentialsTypically requires physics or data science coursework, basic programming skillsRequires engineering fundamentals, programming, and data analysis skills
Work EnvironmentResearch labs, academic institutions, tech companiesManufacturing, product development, tech firms
Industry UsageResearch, academia, tech industryEngineering, manufacturing, software development
Common Search IntentComparing physics-focused data science roles with engineering data science rolesUnderstanding differences between physics and engineering data science internships

Summer Data Science Physics roles focus on applying data analysis within physics research or academic settings, often emphasizing theoretical understanding. In contrast, Summer Data Science Engineering positions are geared toward practical engineering applications, product development, and manufacturing. Both roles require programming skills and data analysis, but their industry focus and work environments differ significantly.

What cities are hiring for Summer Data Science Physics jobs?

Cities with the most Summer 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 Summer Data Science Physics jobs?

States with the most job openings for Summer Data Science Physics jobs include:

Technical Director - Data Science (Discovery)

San Francisco, CA • On-site

SupportFinity™
IT Services • 51 - 200 employees

$373K - $430K/yr

Other

Posted 5 days ago


Job description

Technical Director - Data Science (Discovery)

Roblox |

Roblox | Posted Mar 15

Full-time

Unknown

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators.

At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there.

A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone.

WHY DATA SCIENCE & ANALYTICS?

The Data Science & Analytics organization's mission is to increase our speed, frequency and acumen of making decisions at scale by instilling a data-influenced approach to building products. We cover a wide area of the data spectrum including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling and machine learning. Aligned and partnering with product verticals, we use this extensive tool belt to discover new opportunities and unmet use cases, influence and shape the product roadmap and prioritization, build data products and measure impact on our community of players and developers.

WHY DISCOVERY EXPERIENCES?

We're seeking senior data scientists with expertise in machine learning to join our Discovery Experience team. As IC leaders, you'll drive strategic decisions for user growth and product innovation, leveraging all data science toolkits (analytics, experimentation, forecasting, and ML solutions) to improve end-to-end consumer journeys on Roblox. The roles will primarily focus on Discovery Experiences. Discovery surfaces (i.e. home, search, matchmaking, notifications) are critical to fostering engagement and long-term relationships with our platform. The complex network of our two-sided marketplace, combined with the ever-evolving metaverse, presents exciting challenges.

This role will report directly into the Senior Director of Data Science (Consumer) and will be based at our headquarters in San Mateo, CA (hybrid, onsite days Tues-Thurs).

You Will
  • Develop foundational solutions to scale the hypothesis generation process across key user engagement touchpoints.
  • Contribute directly to the development of ML solutions that power our discovery canvases alongside our sister engineering teams.
  • Partner closely with Product and engineering leaders to inform, drive and accelerate innovations in discovery experiences via Insights, frameworks, causal inference solutions and machine learning prototypes.
  • Leverage advanced causal inference methodologies to measure the effectiveness of various initiatives, ranging from Roblox events to social features susceptible to network effects.
  • Conduct exploratory analysis to identify and advise XFN partners on opportunities for strategic investments.
  • Design and implement experiments for new features and communicate results succinctly to non-technical audiences.
You Have
  • Advanced Degree and/or PhD in Statistics, Computer Science, Physics, Applied Math, Economics, or other related quantitative fields
  • 10+ years of industry experience in data science, economics, analytics, or machine learning engineering
  • 7+ years of experience using scripting languages (Python, R), and big data query/processing languages and tools such as SQL, Hive, Spark, and Airflow
  • Knowledge of ML and Deep Learning either via formal training or industry experience
  • Ability to apply creative first-principles reasoning to solve ambiguous problems
  • Experience developing large-scale recommendation systems as well as experience with content platforms, specifically user-generated content

For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page .

Annual Salary Range

$373,680—$430,430 USD

Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).

Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process.

About the company

Roblox

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