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Scientist Python Jobs in Hercules, CA (NOW HIRING)

... Python and SQL. • Experience working with large-scale user or behavioral datasets. Preferred : • Experience in consumer tech, gaming, fintech, or marketplace data science, particularly in ...

Data Scientist

San Ramon, CA · On-site

$93 - $98/hr

Strong command of languages like Python, R, and SQL for data manipulation and model development ... Provides hands-on execution and implementation of data science models. * Translates business ...

... python (advanced) * Linux/RedHat/Bash (advanced) * MongoDB/JSON (intermediate) * message-passing interface / OpenMP (intermediate) * other (GPU, TPU) - willing to learn Other * ability to learn and ...

... python (advanced) * Linux/RedHat/Bash (advanced) * MongoDB/JSON (intermediate) * message-passing interface / OpenMP (intermediate) * other (GPU, TPU) - willing to learn Other * ability to learn and ...

Data Scientist

San Francisco, CA · On-site

$174K - $191K/yr

Data Scientist (Tubi, Inc.; San Francisco, California): Work with large and complex data sets to ... Must have experience with the following: analytics and SQL, Python, and Spark; A/B testing ...

We're looking for a Junior Data Scientist who loves exploring data, uncovering insights, and ... Comfortable using Python, R, and SQL to explore and analyze datasets. * Eager to collaborate with ...

Showing results 41-60

Scientist Python information

See Hercules, CA salary details

$41.4K

$135.5K

$217K

How much do scientist python jobs pay per year?

As of Aug 12, 2026, the average yearly pay for scientist python in Hercules, CA is $135,517.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,800.00 and $150,200.00 per year, depending on experience, location, and employer.

How does a Scientist Python typically collaborate with other team members during research and development projects?

Scientist Python professionals frequently work in multidisciplinary teams, collaborating closely with data scientists, domain experts, and software engineers. They are often responsible for developing and implementing Python-based models or algorithms, then integrating their work with broader research goals or product pipelines. Regular communication, code reviews, and shared documentation are common practices to ensure alignment and reproducibility. This collaborative environment offers opportunities to learn from peers and contribute to diverse projects, fostering both technical and professional growth.

What does a Scientist Python do?

A Scientist Python, often referred to as a Python Scientist or Data Scientist specializing in Python, uses the Python programming language to analyze data, build predictive models, and solve scientific or business problems. They work with large datasets, apply statistical and machine learning techniques, and create visualizations to interpret results. Their work often involves writing code to clean, manipulate, and analyze data efficiently. Python's extensive libraries, such as Pandas, NumPy, and SciPy, make it a popular choice for scientific computing and data science tasks.

What are the key skills and qualifications needed to thrive as a Scientist Python?

To thrive as a Scientist Python, you need strong programming skills in Python, a solid background in scientific methods or data analysis, and typically an advanced degree in a relevant field such as computer science, physics, or biology. Experience with data analysis libraries (e.g., NumPy, pandas, SciPy), machine learning frameworks (e.g., scikit-learn, TensorFlow), and version control systems is commonly required. Critical thinking, effective communication, and problem-solving abilities help distinguish top performers in this role. These skills enable efficient data-driven research, reproducible scientific workflows, and successful collaboration in multidisciplinary environments.

How much does a scientist Python make?

A Python scientist, often called a data scientist or machine learning engineer, typically earns between $80,000 and $130,000 annually, depending on experience, location, and industry. Advanced skills in Python, data analysis, and machine learning tools can lead to higher salaries, especially in tech hubs or specialized sectors.

What is the difference between Scientist Python vs Data Analyst Python?

AspectScientist PythonData Analyst Python
Required CredentialsBachelor's or Master's in Science, Data Science, or related fields; Python proficiencyBachelor's in Statistics, Data Analysis, or related fields; Python skills
Work EnvironmentResearch labs, R&D departments, tech companiesBusiness intelligence teams, marketing, finance departments
Employer & Industry UsageResearch institutions, tech firms, healthcareCorporate, finance, retail, marketing
Common Search & ComparisonYesYes

Scientist Python and Data Analyst Python roles share similar skills like Python programming and data handling. However, Scientists typically focus on research, experimentation, and developing new models, often working in research-heavy environments. Data Analysts concentrate on interpreting existing data to inform business decisions, working mainly in corporate settings. Both roles require strong analytical skills and Python expertise, but their focus and work environments differ significantly.

Which scientist Python job is in demand?

Data scientist and machine learning engineer roles that require Python skills are currently in high demand across various industries. These positions often seek proficiency in libraries like Pandas, NumPy, and TensorFlow, along with experience in data analysis, modeling, and visualization. Strong programming skills, relevant certifications, and knowledge of cloud platforms can enhance job prospects in this field.
What cities near Hercules, CA are hiring for Scientist Python jobs? Cities near Hercules, CA with the most Scientist Python job openings:

Machine Learning Engineer / Scientist

Until Labs

San Francisco, CA • On-site

$140 - $240/hr

Other

Medical, Dental, Vision, Retirement

Posted 6 days ago


Job description

Until is a moonshot company building a “pause button” for biology. Our near‑term focus is organ‑scale reversible cryopreservation: preserving donated organs at subzero temperatures without ice formation, then rewarming them uniformly for transplant. By solving this grand challenge, we’re laying the foundation for whole‑body reversible cryopreservation, giving patients a bridge to future cures.

To achieve our goal, we are assembling an interdisciplinary team to develop perfusion systems, cryoprotectant formulations, and vitrification and rewarming hardware. We are also building out our medical hibernation team to tackle the challenges of whole‑body cryopreservation, beginning with rodent models.

We envision a future where no transplantable organ is lost to logistics, and no terminal diagnosis is final because patients can safely wait for future medicine to arrive.

About the Role

As a Machine Learning Engineer / Scientist at Until, you will be an early member of the computational team defining how experimental data becomes insight and drives the next round of scientific discovery. You’ll build high‑leverage ML systems that help develop new cryoprotectant formulations, engineer biologically‑inspired antifreeze proteins, and understand the physics of vitrification and rewarming. You will own projects end‑to‑end including shaping data collection and designing data pipelines, training and evaluating models, and deploying tooling that scientists use daily.

About You
  • Degree in Computer Science or a related field (Applied Mathematics, Statistics, Data Science, Computational Biology).
  • Excellent foundations in the mathematics that underlies machine learning, including linear algebra, probability, statistics, and calculus.
  • Strong experience in modern machine learning approaches, such as representation learning, generative modeling, active learning, and bayesian optimization.
  • Track record of developing ML approaches for scientific discovery, as evidenced by a strong publication record, substantial open source contributions, or deployment of a machine learning system in an industry role.
  • Demonstrated ability to write modular, maintainable, and performant code in Python.
  • Fluency with the Python data science and ML stack, including PyTorch, NumPy, SciPy, Pandas/Polars, Matplotlib/Plotly.
  • Proficient with developer tooling, including Linux command line, Git, and shell scripting.
  • Ability to think from first principles and tackle complex, cross‑disciplinary problems with other scientists and engineers.
Preferred Qualifications
  • 3+ years of relevant professional or research experience, or a PhD in a computational field.
  • Strong understanding of computer science fundamentals, including algorithms, operating systems, and concurrency.
  • Experience with cloud infrastructure (AWS, GCP) and SQL databases.
Benefits
  • Opportunity for outsized impact creating the future as an early team member
  • Generous medical, dental and vision insurance coverage
  • Flexible time off and paid holidays
  • Competitive compensation package, including salary and equity
  • 401(k) retirement savings plan
  • FSA and commuter benefits
  • Subsidized lunch daily

$140,000 - $240,000 a year

While this represents our expected range based on market data, final compensation will be determined based on your specific qualifications and may be outside this range. Please keep in mind that the equity portion of the offer is not included in this estimate.

As an equal opportunity employer, Until is committed to providing employment opportunities to all individuals. All applicants for positions at Until will be treated without regard to race, color, ethnicity, religion, sex, gender, gender identity and expression, sexual orientation, national origin, disability, age, marital status, veteran status, pregnancy, or any other basis prohibited by applicable law.

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