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Senior Research Data Scientist Jobs (NOW HIRING)

Aicadium is looking for a Senior Research Data Scientist to push the boundaries of computer vision and machine learning in real-world industrial settings. This is a hybrid role based in San Diego ...

Senior Research Data Scientist

San Jose, CA · On-site

$330K - $375K/yr

About the role As a Senior Research Data Scientist on Roku's Data Science team, you will lead the development of a best-in-class causal inference platform that measures and optimizes the true ...

Sr. Research Data Scientist

San Diego, CA · On-site

$150K - $180K/yr

Aicadium is looking for a Senior Research Data Scientist to push the boundaries of computer vision and machine learning in real-world industrial settings. This is a hybrid role based in San Diego ...

Senior Research Data Scientist

Boston, MA · On-site

$330K - $375K/yr

About the role As a Senior Research Data Scientist on Roku's Data Science team, you will lead the development of a best-in-class causal inference platform that measures and optimizes the true ...

About the role As a Senior Research Data Scientist on Roku's Data Science team, you will lead the development of a best-in-class causal inference platform that measures and optimizes the true ...

Senior Research Data Scientist

New York, NY · On-site

$188K - $240K/yr

The Role Abridge is hiring a Senior Research Data Scientist to join our Strategic Research team. This role sits at the intersection of rigorous research, complex empirical data work, and deep cross ...

Senior Research Data Scientist

Boston, MA · On-site

$330K - $375K/yr

About the role As a Senior Research Data Scientist on Roku's Data Science team, you will lead the development of a best-in-class causal inference platform that measures and optimizes the true ...

Senior Research Data Scientist

New York, NY · On-site

$330K - $375K/yr

About the role As a Senior Research Data Scientist on Roku's Data Science team, you will lead the development of a best-in-class causal inference platform that measures and optimizes the true ...

Senior Research Data Scientist

San Jose, CA · On-site

$330K - $375K/yr

About the role As a Senior Research Data Scientist on Roku's Data Science team, you will lead the development of a best-in-class causal inference platform that measures and optimizes the true ...

Title: Research Data Scientist Location: Onsite, Pittsburgh, PA 15213 Type: Direct-Hire/Permanent Hours: Standard business hours Start: May Overview: Join a cutting-edge lab to discover novel ...

Title: Research Data Scientist Location: Onsite, Pittsburgh, PA 15213 Type: Direct-Hire/Permanent Hours: Standard business hours Start: May Overview: Join a cutting-edge lab to discover novel ...

Title: Research Data Scientist Location: Onsite, Pittsburgh, PA 15213 Type: Direct-Hire/Permanent Hours: Standard business hours Start: May Overview: Join a cutting-edge lab to discover novel ...

POSITION SPECIFICS We are looking for Research Data Scientist, to join our Geospatial Data Science team in the Applied Research Laboratory (ARL) at Penn State. You will aid our research efforts in ...

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Senior Research Data Scientist information

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$142.5K

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How much do senior research data scientist jobs pay per year?

As of Jul 28, 2026, the average yearly pay for senior research data scientist in the United States is $142,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $166,500.00 per year, depending on experience, location, and employer.

How does a Senior Research Data Scientist typically collaborate with cross-functional teams on research projects?

As a Senior Research Data Scientist, you will frequently work alongside professionals from diverse backgrounds, such as software engineers, domain experts, and product managers. Collaboration often involves translating complex data findings into actionable insights for stakeholders, co-developing research methodologies, and ensuring data-driven solutions align with business objectives. Strong communication skills are crucial, as you'll be expected to present your results clearly and guide teams in implementing analytical models. Such cross-functional collaboration not only enhances project outcomes but also provides opportunities for professional growth and exposure to various aspects of the organization.

What is the difference between Senior Research Data Scientist vs Data Scientist?

AspectSenior Research Data ScientistData Scientist
Required CredentialsAdvanced degrees (Master's/PhD), research experienceBachelor's or Master's, industry-focused skills
Work EnvironmentResearch labs, academia, R&D departmentsBusiness, tech companies, startups
Employer & Industry UsageResearch institutions, universities, corporate R&DTech, finance, healthcare, retail

Senior Research Data Scientists typically hold advanced degrees and focus on research and development, often working in academic or corporate R&D settings. Data Scientists usually have a bachelor's or master's degree and work directly on data analysis, modeling, and business insights in industry environments. The roles overlap in data analysis skills but differ in focus and work environment.

What does a Senior Research Data Scientist do?

A Senior Research Data Scientist leads advanced data analysis projects, often focusing on developing new algorithms, statistical models, or machine learning techniques to solve complex problems. They work closely with cross-functional teams, design experiments, and interpret large datasets to generate actionable insights. Their responsibilities also include mentoring junior team members, publishing research findings, and staying updated on the latest trends in data science and technology.

What are the key skills and qualifications needed to thrive as a Senior Research Data Scientist, and why are they important?

To thrive as a Senior Research Data Scientist, you need advanced expertise in statistics, machine learning, programming (often Python or R), and a strong academic background such as a master's or PhD in a quantitative field. Familiarity with big data platforms (like Hadoop or Spark), cloud computing, and tools such as TensorFlow or scikit-learn is typically required, along with experience publishing research or patents. Exceptional problem-solving, communication, and leadership skills help you drive projects and collaborate across multidisciplinary teams. These competencies are critical for extracting actionable insights from complex data, advancing innovative solutions, and leading impactful research initiatives.
More about Senior Research Data Scientist jobs
What cities are hiring for Senior Research Data Scientist jobs? Cities with the most Senior Research Data Scientist job openings:
What are the most commonly searched types of Research Data Scientist jobs? The most popular types of Research Data Scientist jobs are:
What states have the most Senior Research Data Scientist jobs? States with the most job openings for Senior Research Data Scientist jobs include:
Infographic showing various Senior Research Data Scientist job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $142,460 per year, or $68.5 per hour.

Sr. Research Data Scientist

Aicadium

San Diego, CA

Full-time

Dental, Vision, Life, Retirement, PTO

Posted 19 days ago


Job description

Aicadium is looking for a Senior Research Data Scientist to push the boundaries of computer vision and machine learning in real-world industrial settings. This is a hybrid role based in San Diego, where our U.S. headquarters is located.
You'll drive applied R&D across the full research lifecycle from conducting original research and prototyping state-of-the-art models to refining and validating them using messy, real-world visual data.


The ideal candidate brings deep technical expertise in modern computer vision, strong research instincts, and the communication skills to work effectively across research, engineering, and product teams.

Responsibilities:

  • Research, prototype, and develop state-of-the-art computer vision and deep learning models spanning detection, segmentation, tracking, and vision-language tasks.
  • Translate recent research into working implementations, reproducing baselines, running ablations, and quantifying practical tradeoffs.
  • Own the full data lifecycle for visual tasks: dataset curation, annotation strategy, augmentation, synthetic data generation, and quality analysis.
  • Collaborate closely with engineering and product teams to move models from prototype to production, including optimization for edge or latency-constrained environments.
  • Communicate methods, results, and tradeoffs clearly to both technical and non-technical stakeholders.

Skills & Requirements:

  • Master's or PhD in Computer Science, Electrical Engineering, Robotics, Machine Learning, or a related field, or a Bachelor's with equivalent research or industry experience.
  • Strong foundation in modern computer vision and deep learning: image classification, object detection, segmentation, and tracking across CNNs, Vision Transformers, vision-language models, and foundation models.
  • Solid grasp of deep learning fundamentals: supervised and self-supervised learning, representation learning, optimization, loss design, and rigorous model training and evaluation.
  • Demonstrated ability to read, implement, and build on recent research papers, turning literature into working prototypes.
  • Hands-on experience with real-world visual data: dataset curation, annotation, augmentation, synthetic data, data-quality analysis, and low-data or noisy-data settings.
  • Strong applied mathematics (linear algebra, probability, statistics, optimization) and proficiency in Python with PyTorch or equivalent deep learning framework.
  • Strong collaboration and communication skills - able to work across research, engineering, and product, and present technical work clearly to mixed audiences.


Nice to Have:

  • Proven ability to reproduce, evaluate, and extend recent research, including careful baseline comparisons, ablation studies, and tradeoff analysis.
  • Experience in robotic vision, vision-language-action systems, world models, imitation learning, reinforcement learning, or generative models for image, video, or simulation.
  • Familiarity with 3D geometry, camera models, coordinate frames, and calibration.
  • Publications at top-tier venues, open-source contributions, research internships, or substantial project experience in computer vision, robotics, or embodied AI.
  • Hands-on experience deploying or optimizing models for production or edge environments - model compression, quantization, ONNX, TensorRT, or latency optimization.


About Us:

Aicadium is a global technology company delivering AI-powered industrial computer vision products into the hands of enterprises. With offices in Singapore and San Diego, California, and an international team of data scientists, engineers, and business strategists, Aicadium is operationalizing AI within organizations where advanced machine learning innovations were previously out of reach.


Team

Join a growing team of data scientists, machine learning, and software engineers in an agile development environment. Work together with some of the best in the field to tackle challenging projects and operationalize the solutions you develop across a variety of industries and use cases.

Culture

We work in a casual and collaborative startup environment. Every member of the team plays a key role in shaping the solutions we develop and creating positive business value for the companies we work with. We are building a hub of the best talent in San Diego, CA.


Benefits

Aicadium has a great benefits package to come with your salary. Benefits include PTO, Heath insurance, Vision and Dental Insurance, Life and AD&D, 401k with matching, and more!