ZipRecruiter

Log In

1

Temporary Data Science Physics Jobs in California

Adidev Technologies Inc

Data Science

San Francisco, CA · On-site

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote ...

Adidev Technologies Inc

Data Science

San Francisco, CA · Remote

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote ...

Databricks

Staff Data Scientist

San Francisco, CA · On-site

D. in quantitative fields (e.g., Statistics, Math, Computer Science, Physics, Economics, Operational Research or Engineering) Company : Databricks is a data and AI platform that unifies data ...

Databricks

Staff Data Scientist

San Francisco, CA

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 ...

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 ...

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 ...

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 ...

next page

Showing results 1-20

All JobsData Science Physics JobsTemporary Data Science Physics JobsTemporary Data Science Physics Jobs in California

Temporary Data Science Physics information

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 features. Data scientists often use this concept to focus on the most impactful variables or tasks to improve model performance efficiently.

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

AspectTemporary Data Science PhysicsData Analyst
Required CredentialsDegree in Physics, Data Science, or related fields; programming skillsDegree in Statistics, Mathematics, or related fields; data handling skills
Work EnvironmentResearch labs, tech companies, academiaBusiness, finance, marketing departments
Industry UsageScientific research, tech innovation, academiaBusiness insights, reporting, decision-making

Temporary Data Science Physics roles focus on applying physics principles and data science techniques in research or tech environments, often requiring strong analytical and programming skills. Data Analysts primarily interpret data to support business decisions, with a focus on data visualization and reporting. While both roles involve data handling, their industry applications and skill sets differ, making them distinct career paths.

Will AI replace data scientists in 2050?

Data scientists play a crucial role in analyzing complex data and developing models, and AI tools are designed to assist rather than replace them. While AI can automate routine tasks, data scientists' expertise in interpreting results, understanding context, and applying domain knowledge remains essential for effective decision-making and innovation.

Is 30 too late for data science?

Age is generally not a barrier to entering data science roles, including those in temporary positions for physics or related fields. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be developed at any age through courses, certifications, and practical experience.

Is 40 too late for data science?

Age is not a strict barrier for a career in data science, and many professionals transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.
What are the most commonly searched types of Data Science Physics jobs in California? The most popular types of Data Science Physics jobs in California are:
What are popular job titles related to Temporary Data Science Physics jobs in California? For Temporary Data Science Physics jobs in California, the most frequently searched job titles are:
What job categories do people searching Temporary Data Science Physics jobs in California look for? The top searched job categories for Temporary Data Science Physics jobs in California are:
What cities in California are hiring for Temporary Data Science Physics jobs? Cities in California with the most Temporary Data Science Physics job openings:
Temporary Data Science Physics jobs near you
Technical Director - Data Science (Discovery)

Technical Director - Data Science (Discovery)

Roblox

San Mateo, CA • Hybrid

Other

Posted 21 days ago

Job description

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 (individual contributors with a large span of influence), 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

Apply