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Scientist Python Jobs in Hercules, CA (NOW HIRING)

Write and own production-quality Python code end-to-end -- well-structured, tested, documented, and ... Mentor junior Data Scientists through code review, pairing, and structured technical feedback ...

Be Seen First

Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Technical Skills: * Advanced proficiency in Python and libraries such as PyTorch, Pandas, NumPy, or similar.

... Python and scientific computing workflows • Comfort working with cloud infrastructure and ML tooling (AWS, Docker, CUDA, Conda, PyTorch, TensorFlow) • Located in the SF Bay Area or able to ...

Bring scientific rigor and statistical methods to the challenges of product creation, development ... Python ATS Optimization KeywordsHard Skills * Data Analysis * Statistical Modeling * Machine ...

Data Scientist

San Francisco, CA · On-site

$110 - $150/hr

Data Scientist OpenArt is an AI Storytelling and Visual Creation Platform used by millions ... Expert SQL and strong Python skills. * Deep understanding of statistical analysis, experimentation ...

The Research Scientist role involves developing new techniques for understanding and steering large ... Python and ML frameworks such as PyTorch. • Strong writing and communication skills for ...

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... Strong foundation in Python programming in a cloud environment. * Strong quantitative abilities ...

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... Strong foundation in Python programming in a cloud environment. * Strong quantitative abilities ...

Data Scientist

San Francisco, CA · On-site

$300K - $400K/yr

Data Scientist About OpenArt OpenArt is an AI Storytelling and Visual Creation Platform used by ... Expert SQL and strong Python skills * Deep understanding of statistical analysis, experimentation ...

Data Scientist About OpenArt OpenArt is an AI Storytelling and Visual Creation Platform used by ... Expert SQL and strong Python skills * Deep understanding of statistical analysis, experimentation ...

Senior Data Scientist

San Francisco, CA · On-site

$123.20 - $218/hr

Strong coding skills in a general‑purpose language like Scala or Python, and familiarity with ... Science or a related field. Our Commitment to Diversity and Inclusion At Databricks, we are ...

They are seeking a Data Scientist to manage complex business and technology challenges and ... Required : • Master's degree + SAS, SQL, Python/R • Predictive /explanatory model development ...

Data Scientist

San Francisco, CA · On-site +1

$160K - $200K/yr

The role will report directly to the CTO. Next to the CTO, you will be first Data Scientist on the ... Comfortable with Python, Flask/Django, Pandas and Numpy * Demonstrated ability to pick up new ...

Data Scientist

San Francisco, CA · Remote

$160K - $200K/yr

The role will report directly to the CTO. Next to the CTO, you will be first Data Scientist on the ... Comfortable with Python, Flask/Django, Pandas and Numpy * Demonstrated ability to pick up new ...

Showing results 21-40

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:

Data Scientist

Samba

San Francisco, CA

$150K - $185K/yr

Full-time

Re-posted 29 days ago


Job description

Samba is a media intelligence company. We know what the world is watching, reading, and thinking about — in real time, at scale, across every screen. Our data exists with the consent of over a billion people, organized into the most complete picture of consumer attention ever built. The biggest brands in the world use that picture to make smarter decisions. We think it’s the most interesting data asset on the planet, because it’s the most culturally relevant. 

ABOUT THE ROLE

We are looking for a hands-on Data Scientist to own and deliver complex measurement science and modeling work at the core of our measurement and audience sciences products. 

The role requires a deep, first-principles understanding of data science and machine learning — not just the ability to apply libraries, but the ability to reason clearly about model behavior, articulate trade-offs between approaches, and make defensible methodological decisions under ambiguity. This is emphatically a coding role — you will spend the majority of your time writing production-quality Python, building and evaluating models on large-scale viewership and web data, and delivering end-to-end ML solutions.

You will work closely with Data Engineering, Product, and go-to-market teams.

WHAT YOU'LL DO
  • Write and own production-quality Python code end-to-end — well-structured, tested, documented, and built to last; PySpark proficiency is essential for working with Samba's billion-row viewership datasets

  • Design, build, and deploy measurement models and statistical frameworks that power Samba’s campaign measurement, reach/frequency estimation, and cross-platform attribution products

  • Apply the right statistical and ML technique to the right problem — drawing from hierarchical models, Bayesian inference, gradient boosting, regularized regression, causal ML, and probabilistic record linkage — and clearly articulate the reasoning behind your choices

  • Build and evaluate multi-touch and multi-channel attribution models; apply Causal ML methods — counterfactual modeling, meta-learners (S-learner, T-learner, X-learner), and heterogeneous treatment effect estimation — to advertising and viewership measurement problems

  • Partner with Data Engineering to define data requirements, validate pipelines, and ensure model inputs are reliable, scalable, and production-ready

  • Lead technical design reviews and contribute meaningfully to architecture decisions across the Data Science team

  • Mentor junior Data Scientists through code review, pairing, and structured technical feedback — raising the team's technical floor

  • Communicate measurement methodologies and findings clearly to technical and non-technical audiences, including senior leadership and external clients

WHO ARE YOU
  • 5-7 years of professional data science experience — hands-on, delivery-focused, and measurable in shipped models and production systems

  • Expert-level Python — clean, modular, testable, production-ready code is your standard, not your aspiration

  • Advanced PySpark and Databricks — comfortable building and optimizing data pipelines and ML workflows on billion-row datasets

  • Deep, first-principles command of statistics and ML — you can explain from the ground up how these models work and you apply this understanding to make better modeling decisions

  • Solid grasp of experimental design — A/B testing, randomization, power analysis, and the conditions under which observational causal inference is appropriate

  • Fluent in the full ML lifecycle: feature engineering, model evaluation, deployment pipelines, drift monitoring, and iterative improvement in production

  • Hands-on experience with uplift modeling, synthetic control, difference-in-differences, or propensity-based approaches applied to advertising or media outcomes

  • Strong ownership mindset — you drive projects independently and are comfortable owning your models from data exploration through production delivery, with minimal hand-holding.

  • Clear communicator — able to translate statistical reasoning and model behavior into language that drives decisions with product, engineering, and leadership

  • Experience with multi-touch attribution (MTA) or multi-channel attribution modeling — understanding of the limitations of rule-based approaches and the methodological trade-offs of data-driven alternatives

  • Hands-on experience with Causal ML methods — counterfactual modeling, meta-learners, and heterogeneous treatment effect estimation — applied to advertising or media measurement outcomes

  • Direct exposure to TV or digital viewership data — ACR signals, STB data, viewership panels, or cross-platform measurement (linear + CTV/OTT)

  • Familiarity with the measurement

  • t vendor landscape (Nielsen, Comscore, VideoAmp, iSpot) and industry standards (MRC, GRP/TRP frameworks)

  • Advanced degree (MS or PhD) in Statistics, Mathematics, Computer Science, or a related quantitative field — or equivalent depth demonstrated through work

Samba expects to offer a base salary between $150,000 - $180,000 USD per year for roles to be performed in San Francisco or California; actual base salary offered will depend on various factors including but not limited to location, experience, and performance. Base salary is just one component of Samba's total compensation package for employees. Other rewards may include bonuses, short-term incentives and long-term incentives. In addition, Samba provides health insurance, wellness offerings, life and disability insurance, a retirement savings plan, paid holidays and paid time off (PTO), and other employee benefits.
Samba is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.  We strive to empower connection with one another, reflect the communities we serve, and tackle meaningful projects that make a real impact.
 
Samba may collect personal information directly from you, as a job applicant, Samba may also receive personal information from third parties, for example, in connection with a background, employment or reference check, in accordance with the applicable law. For further details, please see Samba's Applicant Privacy Policy. For residents of the EU , Samba Inc. is the data controller.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.