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Full Time Data Science Physics Jobs (NOW HIRING)

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 ...

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 ...

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+ ...

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+ ...

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+ ...

$107K - $115K/hr

Accountability, Mission Driven, Community Focus and Team Oriented.  Syntelligent is seeking a full time Data Scientist for a future opening available with a government customer.*** This is a ...

Minimum of 4 years of full time Data Science prototyping experience (Python) using machine learning techniques and algorithms (supervised, unsupervised, reinforcement learning etc.) in a commercial ...

New

... a full-time data scientist to join the data analytics team. Leveraging advanced analytical ... This role combines advanced data science techniques with business partnership to identify ...

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

Bachelor's in Computer Science, Data Science, Statistics, Engineering, Physics, Applied Mathematics, or related quantitative field. * 3+ years of experience in machine learning, applied AI, or ...

New

Advanced Degree and/or PhD in Statistics, Computer Science, Physics, Applied Math, Economics, or ... All full-time employees are also eligible for equity compensation and for benefits as described on ...

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Full Time Data Science Physics information

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$37.5K

$122.7K

$196.5K

How much do full time data science physics jobs pay per year?

As of Jul 12, 2026, the average yearly pay for full time data science physics in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.
What are the most commonly searched types of Data Science Physics jobs? The most popular types of Data Science Physics jobs are:
Staff Data Scientist

Full-time

Re-posted yesterday


Job description

Job Summary:
OpenX is focused on unleashing the full economic potential of digital media companies through advanced advertising technologies. They are seeking a Staff Data Scientist to solve complex marketplace problems, set technical direction, and mentor other scientists while working on high-impact data science initiatives.
Responsibilities:
• Architect robust, scalable, and maintainable ML systems for broad use across the exchange, spanning training pipelines, real-time inference, validation, and monitoring
• Serve as a go-to expert in deep learning and related advanced data science domains, with the breadth to guide method selection across adjacent areas
• Lead the evaluation and adoption of new AI/ML modeling techniques, frameworks, and research advancements relevant to OpenX’s marketplace problems
• Define and evolve technical standards and best practices within their domain, influencing broader adoption across the organization
• Identify and lead high-impact, cross-team data science initiatives, such as improving bidding strategies, building new prediction systems, or redesigning experimentation frameworks
• In partnership with engineering and product leadership, drive the data science roadmap for a product area or platform capability
• Partner with product managers and commercial stakeholders to translate marketplace problems into data science solutions with measurable business outcomes
• Solve novel, ambiguous problems requiring innovation in methodology, algorithms, or feature engineering
• Mentor and develop senior data scientists, helping them grow toward broader technical leadership
• Raise the skills, impact, and scientific rigor of teams around them through guidance, architectural patterns, and strategic direction
• Communicate technical strategy and build consensus for complex decisions across senior leadership and cross-functional teams
Qualifications:
Required:
• 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+ years of relevant experience and a demonstrated track record of leading cross-team technical strategy and delivering organization-level impact
• Deep expertise in deep learning and broad fluency across the modern ML toolkit, with strong familiarity with optimization methods; additional experience in areas such as causal inference or experimentation design is a plus
• Proven ability to architect and deliver complex, production-grade ML systems that operate at scale
• Strong track record of nurturing DS/ML projects to maturity with significant business impact, including supporting and improving those systems beyond initial deployment
• Mastery of probability and statistics, especially techniques that scale to massive datasets
• Strong Python and SQL skills; experience with ML frameworks such as TensorFlow or PyTorch
• Strong communication and presentation skills, including proficiency in conveying complex technical concepts to both technical and non-technical audiences
• Track record of cross-team technical leadership and mentorship of senior data scientists and technical partners
Preferred:
• Experience developing, evaluating, or optimizing bidding algorithms for RTB environments.
• Experience working with a cloud platform like GCP/AWS/Azure, with emphasis on GCP and the Vertex AI platform
• Experience with ML pipeline and orchestration tools such as TFX, Kubeflow, or Airflow
• Familiarity with other programming languages such as Java and Go
• Experience working in digital media, marketing technology, or advertising technology — especially in marketplace, auction, or exchange systems
• Track record of setting technical standards or best practices adopted beyond a single team
• Experience representing data science capabilities or strategy in cross-functional forums
Company:
OpenX is a supply-side platform for audience, data, and identity targeting, boosting reach and revenue with top tech and service. Founded in 2007, the company is headquartered in Pasadena, USA, with a team of 201-500 employees. The company is currently Growth Stage.