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Co Op Computer Science Jobs in Berkeley, CA (NOW HIRING)

D. or master's degree in operations research, Industrial Engineering, Statistics, Computer Science ... OP analytics * Proficiency in Python with hands-on experience in optimization solvers (Gurobi ...

D. or master's degree in operations research, Industrial Engineering, Statistics, Computer Science ... OP analytics * Proficiency in Python with hands-on experience in optimization solvers (Gurobi ...

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Co Op Computer Science information

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$30K

$59.3K

$96.7K

How much do co op computer science jobs pay per year?

As of Aug 16, 2026, the average yearly pay for co op computer science in Berkeley, CA is $59,252.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,100.00 and $63,700.00 per year, depending on experience, location, and employer.

What is a co op computer science?

A Co-Op Computer Science job is a paid, structured work opportunity that allows students to gain hands-on experience in the field while completing their degree. Co-op positions are typically full-time and last for a semester or more, offering real-world exposure to software development, data analysis, cybersecurity, and other technical areas. These roles help students build professional skills, expand their network, and improve job prospects after graduation. Participants often alternate between work terms and academic semesters to balance learning and industry experience.

What types of projects or tasks do co op computer science students typically work on during their placement?

As a Computer Science Co-op student, you can expect to work on a variety of hands-on projects, such as developing software features, assisting with bug fixes, automating workflows, or performing quality assurance testing. Many companies also involve Co-ops in team meetings, code reviews, and collaborative development efforts, ensuring you gain a holistic understanding of the software development lifecycle. Your daily tasks may vary, but you will often work alongside experienced developers and receive mentorship to help build your technical and professional skills. This real-world experience not only enhances your resume but also helps you build a valuable professional network for future career opportunities.

What are the key skills and qualifications needed to thrive in the co op computer science position, and why are they important?

To thrive as a Co Op Computer Science, a strong foundation in programming languages (such as Java, Python, or C++), problem-solving skills, and current enrollment in a computer science degree program are essential. Familiarity with version control systems like Git, coding environments such as Visual Studio Code, and exposure to databases or basic cloud platforms are commonly expected. Strong communication, time management, and willingness to learn help you stand out and adapt quickly to new tasks and team environments. These skills and qualities are vital for successfully contributing to real-world software projects while gaining practical experience in a professional setting.

Is Co Op Computer Science a good career in 2030?

A co-op in computer science can provide valuable industry experience and skills such as programming, software development, and teamwork, which are highly relevant in the evolving tech landscape. As technology continues to grow, careers in computer science are expected to remain in demand, making co-op opportunities beneficial for future employment prospects.

What other jobs can I do with a Co Op Computer Science degree?

A Co Op Computer Science degree can qualify you for roles such as software developer, systems analyst, quality assurance tester, database administrator, or network administrator. These positions often require knowledge of programming languages, problem-solving skills, and familiarity with tools like SQL, Java, or Python, and may involve working in team environments or following industry standards.

What are the most commonly searched types of Computer Science jobs in Berkeley, CA?

The most popular types of Computer Science jobs in Berkeley, CA are:

What job categories do people searching Co Op Computer Science jobs in Berkeley, CA look for?

The top searched job categories for Co Op Computer Science jobs in Berkeley, CA are:

What cities near Berkeley, CA are hiring for Co Op Computer Science jobs?

Cities near Berkeley, CA with the most Co Op Computer Science job openings:

Infographic showing various Co Op Computer Science job openings in Berkeley, CA as of August 2026, with employment types broken down into 50% Internship, and 50% Full Time. Highlights an 100% In-person job distribution, with an average salary of $59,252 per year, or $28.5 per hour.

Senior AI Scientist - Planning

Avathon

Pleasanton, CA • On-site

Full-time

Medical, Retirement

Re-posted 16 days ago


Job description

Who We Are & Why Join Us
Avathon is the leading Industrial AI autonomy platform, helping customers across heavy industries -- energy, mining, manufacturing, aerospace, defense, and logistics -- accelerate the journey toward autonomous operations. Our platform is built on a Computational Knowledge Graph foundation that contextualizes and connects operational data across siloed systems, bringing together time series, structured, unstructured, and machine vision data to power AI-driven applications in asset performance management, supply chain intelligence, visual AI, and global trade management. With capabilities spanning digital twins, normal behavior modeling, natural language processing, and computer vision, Avathon delivers real-time predictive intelligence and agentic decision-making at industrial scale.
Cutting-Edge AI Innovation -- Join a team at the forefront of AI, developing groundbreaking solutions that shape the future. High-Growth Environment -- Thrive in a fast-scaling startup where agility, collaboration, and rapid professional growth are the norm. Meaningful Impact -- Work on AI-driven projects that drive real change across industries and improve lives.
Learn more at: avathon.com
About the Role
As a Senior AI Scientist - Planning, you will design and develop the AI and optimization models that power Avathon's planning intelligence - demand forecasting, supply planning, inventory optimization, and S&OP decision support for customers across energy, mining, manufacturing, and logistics.
This role sits at the intersection of AI, ML and operations research. You will build models that work with complex supply chain data - demand history, ERP/MRP transactions, and commercial forecasts across multi-echelon networks with long lead times and constrained capacity. The work is equal parts applied research and production delivery. You will develop novel approaches where standard methods fall short and ship them into a platform used by enterprise customers. You will report into the Data Science org and work closely with product and engineering.
You Will
  • Build demand forecasting models across industrial verticals, applying probabilistic, hierarchical, and intermittent demand methods where history is short or volatile
  • Design supply planning and inventory optimization models across multi-echelon networks with capacity constraints and variable lead times
  • Formulate and solve optimization problems (MIP, LP, constraint programming) for production scheduling, allocation, and resource planning
  • Build simulation and scenario analysis frameworks to support S&OP and integrated business planning workflows
  • Define evaluation metrics, build backtesting pipelines, and run controlled experiments to measure and improve model performance
  • Integrate cross-domain signals from Avathon's Computational Knowledge Graph -- asset health, logistics, procurement - into planning models
  • Own the path from research to production in collaboration with ML Engineering, delivering scalable and monitored services
  • Mentor junior data scientists on technical depth and OR/ML fundamentals

You'll Have
  • Ph.D. or master's degree in operations research, Industrial Engineering, Statistics, Computer Science, Applied Mathematics, or a related quantitative field
  • 10-15 years of industry experience in applied ML, optimization, or Supply Chain planning systems
  • Deep experience in at least two of: demand forecasting, supply/inventory optimization, production scheduling, or S&OP analytics
  • Proficiency in Python with hands-on experience in optimization solvers (Gurobi, CPLEX, OR-Tools, or similar) or forecasting libraries (Prophet, statsmodels, GluonTS, or similar)
  • Strong foundation in statistical modeling with sound judgment on when simple methods outperform complex ones
  • Experience with supply chain and operational data - demand history, ERP/MRP transactions, and planning system outputs
  • Ability to translate business problems into mathematical optimization or ML formulations
  • Experience deploying models into production environments

Preferred Qualifications
  • Ph.D. in Operations Research, Industrial Engineering, Statistics, or a related field
  • Background in supply chain planning platforms or industrial AI (o9, Blue Yonder, Kinaxis, or similar), preferably within the supply chain industry
  • Experience in supply chain planning platforms or industrial AI (o9 Solutions, Blue Yonder, Kinaxis, or similar) preferably from Supply Chain industry.
  • Experience with multi-echelon inventory optimization or network design
  • Familiarity with probabilistic programming or Bayesian methods for demand sensing
  • Experience with cloud ML infrastructure (AWS SageMaker, GCP Vertex, or equivalent)
  • Domain experience in energy, mining, manufacturing, aerospace, or logistics or Track record of publishing or presenting applied OR/ML work as plus

Interview Process
As part of the interview process, you will be asked to complete a technical assessment.
Benefits & Perks
What are the benefits and perks at Avathon? Below are some highlights we offer to our U.S. full-time employees -- we'd love to connect and share more!
  • Evolving culture with the opportunity to drive new ideas and technology
  • Stock Option Grants
  • Medical Coverage and Parental Leave Plans
  • 401k with Employer Match
  • Monthly Technology Allowance
  • Newly renovated office space located near Pleasanton, CA -- including fully stocked beverage and snack areas

Contract and temporary roles are not eligible for the above benefits.
Compensation
Pay Range: $160k - $240k salary annually. Pay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge, skills, and experience.
Location: This role is not remote. Candidates must be based in the Bay Area, CA and are expected to report to our Pleasanton office 5 days a week.
Avathon is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws.
Avathon is committed to providing reasonable accommodations throughout the recruiting process. If you need a reasonable accommodation, please contact us to discuss how we can assist you.