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Senior Computer Data Scientist Jobs in San Ramon, CA

Tenex.AI Inc

Senior Data Scientist

San Jose, CA · On-site

D. in Computer Science, Data Science, Statistics, Engineering, or a related quantitative field (or equivalent experience). * Relevant certifications in Data Science or Cloud ML Platforms are a plus.

Exelixis

Senior AI Data Scientist I

Alameda, CA · On-site

SUMMARY/JOB PURPOSE The Senior AI Data Scientist I develops, trains and validates AI/ML models and ... Bachelor's degree in Data Science, Computer Science, Statistics, Biostatistics, Bioinformatics, or ...

Walmart

Senior Data Scientist

Sunnyvale, CA · On-site

$172K - $234K/yr

Senior Data Scientist Number of Positions Available: Six (6) Job Location: 1375 Crossman Avenue ... Master's degree or equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science ...

Exelixis

Senior AI Data Scientist I

Alameda, CA · On-site

SUMMARY/JOB PURPOSE The Senior AI Data Scientist I develops, trains and validates AI/ML models and ... Bachelor's degree in Data Science, Computer Science, Statistics, Biostatistics, Bioinformatics, or ...

Exelixis

Senior AI Data Scientist I

Alameda, CA · On-site

SUMMARY/JOB PURPOSE The Senior AI Data Scientist I develops, trains and validates AI/ML models and ... Bachelor's degree in Data Science, Computer Science, Statistics, Biostatistics, Bioinformatics, or ...

Knit Health

Senior Data Scientist

San Francisco, CA · On-site

As a senior member of a small data science team, this person will also help establish strong scientific and analytical practices while supporting the growth of junior team members. What you'll do You ...

Nash

Senior Data Scientist

San Francisco, CA · On-site

Senior Data Scientist About Nash Nash is the autonomic logistics platform. We unify decisioning and execution across fleets, carriers, providers, and fulfillment networks, continuously adapting as ...

Brilent

Senior Data Scientist

San Mateo, CA · On-site

Company Description Brilent is a data science tech company developing a SaaS solution to help ... MS/PhD in computer science, statistics, or operations research or related technical discipline

Zipline

Senior Data Scientist

South San Francisco, CA · On-site

$160K - $220K/yr

As a Senior Data Scientist on the Data Science & Analytics team, you will own high-leverage ... A quantitative degree in computer science, statistics, mathematics, operations research, economics ...

Match Point Solutions

Data Scientist

Pleasanton, CA · Remote

$75 - $80/hr

Developing computer vision models that improve, accelerate, and automate asset inspections processes Strong Python programing Department Overview The Data Science & Artificial Intelligence Department ...

Walmart

Senior Data Scientist

San Mateo, CA · On-site

$117K - $234K/yr

Master's degree/PHD in Data science, Computer Science, or related fields with practical experience * Expertise in Machine Learning, Statistics, Generative AI, Personalization, and Item Recommendation ...

Walmart

Senior Data Scientist

Sunnyvale, CA · On-site

$117K - $234K/yr

Master's degree/PHD in Data science, Computer Science, or related fields with practical experience * Expertise in Machine Learning, Statistics, Generative AI, Personalization, and Item Recommendation ...

Walmart

Senior Data Scientist

San Jose, CA · On-site

$117K - $234K/yr

Master's degree/PHD in Data science, Computer Science, or related fields with practical experience * Expertise in Machine Learning, Statistics, Generative AI, Personalization, and Item Recommendation ...

Walmart

Senior Data Scientist

Milpitas, CA · On-site

$117K - $234K/yr

Master's degree/PHD in Data science, Computer Science, or related fields with practical experience * Expertise in Machine Learning, Statistics, Generative AI, Personalization, and Item Recommendation ...

Walmart

Senior Data Scientist

Fremont, CA · On-site

$117K - $234K/yr

Master's degree/PHD in Data science, Computer Science, or related fields with practical experience * Expertise in Machine Learning, Statistics, Generative AI, Personalization, and Item Recommendation ...

Anomali Inc.

Senior Data Scientist

Redwood City, CA · On-site

A deep understanding of computer systems, networks, protocols, and information security concepts ... Has presented at a security, data science, or big data conference. * Prior experience working in ...

Walmart

Senior Data Scientist

Hayward, CA · On-site

$117K - $234K/yr

Master's degree/PHD in Data science, Computer Science, or related fields with practical experience * Expertise in Machine Learning, Statistics, Generative AI, Personalization, and Item Recommendation ...

MrBeast

Senior Data Scientist

San Mateo, CA · On-site

$209K - $239K/yr

Senior Data Scientist The Opportunity We're doing an AI-first engineering rebuild for a company that already has an audience of 100M+ people. This is a zero-to-one build with no legacy constraints ...

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All JobsComputer Data Scientist JobsSenior Computer Data Scientist JobsSenior Computer Data Scientist Jobs in San Ramon, CA

Senior Computer Data Scientist information

See San Ramon, CA salary details

$46.4K

$159.2K

$224.6K

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

As of Sep 13, 2026, the average yearly pay for senior computer data scientist in San Ramon, CA is $159,202.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,400.00 and $186,100.00 per year, depending on experience, location, and employer.

What is the difference between Senior Computer Data Scientist vs Data Analyst?

AspectSenior Computer Data ScientistData Analyst
Required CredentialsBachelor's/Master's/PhD in Computer Science, Data Science, or related fields; experience with programming, machine learningBachelor's degree in Statistics, Mathematics, or related fields; proficiency in data visualization and basic analytics
Work EnvironmentDevelops models, algorithms, and advanced analytics; often in R&D or data science teamsPrepares reports, visualizations, and interprets data for business decisions
Employer & Industry UsageTech companies, finance, healthcare, and large enterprises with complex data needsRetail, marketing, finance, and smaller organizations focusing on data reporting

While both roles analyze data, Senior Computer Data Scientists focus on building advanced models and algorithms, requiring deeper technical expertise. Data Analysts primarily interpret and visualize data for business insights. The roles often overlap in data handling but differ in complexity and technical depth.

What does a senior computer data scientist do?

A senior computer data scientist analyzes large datasets to extract insights, develop predictive models, and support decision-making processes. They often use programming languages like Python or R, employ machine learning techniques, and collaborate with cross-functional teams to solve complex problems. Their role may also involve mentoring junior staff and ensuring data quality and security.

What cities near San Ramon, CA are hiring for Senior Computer Data Scientist jobs?

Cities near San Ramon, CA with the most Senior Computer Data Scientist job openings:

Senior Computer Data Scientist jobs near you
Infographic showing various Senior Computer Data Scientist job openings in San Ramon, CA as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $159,202 per year, or $76.5 per hour.

Senior Data Scientist

San Jose, CA • On-site

Tenex.AI Inc
See more jobs at Tenex.AI Incexternal

Full-time

Re-posted 22 days ago

Key responsibilities

  • Design, develop, train, and deploy machine learning models for threat detection, anomaly scoring, and behavioral analytics.

  • Collaborate with Security Operations, Product, and Data Engineering teams to translate security challenges into data science solutions.

  • Partner with Data Engineers to define, preprocess, and structure large datasets for model training and inference.

Job description

Company Overview
TENEX is an AI-native, automation-first, built-for-scale Managed Detection and Response (MDR) provider. We are a force multiplier for defenders, helping organizations enhance their cybersecurity posture through advanced threat detection, rapid response, and continuous protection. Our team is composed of industry experts with deep experience in cybersecurity, automation and AI-driven solutions. Backed by leading investors, we are rapidly growing and seeking top talent to join our mission of revolutionizing the AI-Native MDR landscape.
We're a fast growing startup backed by industry experts and top tier investors led by Crosspoint Capital Partners and also backed by Shield Capital, DTCP (formerly Deutsche Telekom Capital Partners), Deepwork Capital, and the Florida Opportunity Fund. Seed round led by Andreessen Horowitz (a16z). As an early employee, you'll play a meaningful role in defining and building our culture. Get in on the ground floor. We're a small but well-funded team that just raised a substantial round - joining now comes with limited risk and unlimited upside.
We're a fast-growing startup backed by Andreessen Horowitz. As an early employee, you'll help shape our culture and have meaningful ownership over high-impact initiatives. This is a unique opportunity to join a small but well-funded team on the ground floor as we build the next-generation cybersecurity platform.
We are expanding our engineering organization and seeking a Senior Data Scientist to design, build, and deploy the machine learning models that power our AI-driven cybersecurity platform. This role is foundational in delivering high-fidelity threat detection, automating response actions, and generating predictive security intelligence across TENEX.
Culture is one of the most important things at TENEX.AI-explore our culture deck at culture.tenex.ai to witness how we embody it, prioritizing the irreplaceable collaboration and community of in-person work.
This is an in-person opportunity based in our San Jose, CA office where you will be expected to work out of 4 days a week.
Role Overview
As a Senior Data Scientist, you will be responsible for the end-to-end lifecycle of machine learning models: from ideation and research to production deployment and monitoring. You will leverage large volumes of cybersecurity and operational data to create models that enhance our Managed Detection and Response (MDR) capabilities, including anomaly detection, threat scoring, and automated alert triage.
You'll work closely with Security Operations, Product, and Data Engineering teams to translate complex security challenges into data science problems, ensuring our AI/ML solutions are effective, scalable, and directly contribute to our clients' security outcomes. This role combines deep analytical rigor with practical engineering to deliver mission-critical AI for cybersecurity.
Job Responsibilities:
AI/ML Model Development
  • Design, develop, train, and deploy high-performance machine learning models for critical security tasks such as threat detection, anomaly scoring, and behavioral analytics.
  • Conduct feature engineering and selection on vast, high-velocity streams of security data (logs, network telemetry, endpoint data).
  • Own the model lifecycle, including versioning, rigorous testing, and continuous improvement through MLOps best practices.

Research & Innovation
  • Stay up-to-date on state-of-the-art research in data science, deep learning, and security-specific AI to drive platform innovation.
  • Explore novel statistical methods and machine learning techniques to tackle emerging and sophisticated cyber threats.
  • Design and implement A/B testing and evaluation frameworks to measure the impact and performance of deployed models.

Data & Feature Engineering
  • Partner with Data Engineers to define, preprocess, and structure large, complex datasets for model training and inference.
  • Implement and manage data pipelines specifically for feature extraction and model serving.
  • Leverage vector databases and RAG (Retrieval-Augmented Generation) pipelines for enhanced security context and large language model applications.

Cross-Functional Collaboration
  • Work closely with Security Operations to understand real-world threat landscapes and ensure model outputs are actionable and integrated into workflows.
  • Collaborate with Product Managers to define AI features and translate model performance into measurable business value.
  • Present complex analytical findings and model behavior clearly to technical and non-technical audiences.

Required Skills & Qualifications:
  • 5+ years of professional experience in Data Science, Machine Learning Engineering, or a related quantitative field.
  • Strong theoretical and practical experience with a wide range of ML models (e.g., classification, clustering, time-series, deep learning).
  • Proficiency in Python and its data science ecosystem (Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow).
  • Expertise in SQL and experience working with large-scale data warehouses (Snowflake, BigQuery, or Redshift).
  • Demonstrated experience with MLOps principles, tools, and platforms (e.g., Kubeflow, MLflow, Airflow/Dagster for orchestration).
  • Solid understanding of probability, statistics, and experimental design.
  • Experience deploying and maintaining models in a cloud environment (GCP or AWS).
  • Excellent communication skills with the ability to drive projects autonomously and translate business needs into technical requirements.

Desired:
  • Prior experience applying data science/ML in the cybersecurity or security analytics domain, particularly in MDR or MSSP environments.
  • Experience with real-time / streaming data systems (Kafka, Pub/Sub, Kinesis) for low-latency threat detection.
  • Familiarity with the use of Vector Databases and RAG architectures.
  • Experience with modern analytics engineering frameworks.
  • Experience working in an early-stage startup environment.

Education & Certifications
  • Master's or Ph.D. in Computer Science, Data Science, Statistics, Engineering, or a related quantitative field (or equivalent experience).
  • Relevant certifications in Data Science or Cloud ML Platforms are a plus.

Why Join Us?
  • Opportunity to work with cutting-edge AI-driven cybersecurity technologies and Google SecOps solutions.
  • Collaborate with a talented and innovative team focused on continuously improving security operations.
  • Competitive salary and benefits package.
  • A culture of growth and development, with opportunities to expand your knowledge in AI, cybersecurity, and emerging technologies.

Apply