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Scientist Python Jobs in Hercules, CA (NOW HIRING)

Find Data Science

Data Scientist

San Francisco, CA · On-site

Data Scientist - San Francisco We are seeking a talented and experienced Data Scientist to join our ... Strong proficiency in programming languages such as Python or R. * Experience with data ...

Samba

Data Scientist

San Francisco, CA · On-site

$150 - $185/hr

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

Samba

Data Scientist

San Francisco, CA · On-site

$150K - $185K/yr

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 ...

Samba

Data Scientist

San Francisco, CA · On-site

$150K - $185K/yr

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 ...

Samba

Data Scientist

San Francisco, CA · On-site

$150K - $185K/yr

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 ...

Plaid Inc

Data Scientist

San Francisco, CA · On-site

$180 - $240/hr

Senior Data Scientist - Network Value (Credit) The Network Value Data Science team is helping Plaid ... You'll also work with SQL, Python, Redshift, Databricks, notebooks, dbt, and Airflow to enable ...

MoneyLion

Data Scientist

San Francisco, CA · On-site

$170 - $250/hr

Senior Data Scientist - Network Value (Credit) The Network Value Data Science team is helping Plaid ... You'll also work with SQL, Python, Redshift, Databricks, notebooks, dbt, and Airflow to enable ...

1872 Consulting

Lead Data Scientist

San Francisco, CA · On-site

SAS, R, Python) * 3-5+ years experience in business and data analytics after graduation * BS or MS degree in Statistics, Math, Data Science, CS or related discipline Nice-to-have: * Hands-on ...

1872 Consulting

Lead Data Scientist

San Francisco, CA · On-site

SAS, R, Python) * 3-5+ years experience in business and data analytics after graduation * BS or MS degree in Statistics, Math, Data Science, CS or related discipline Nice-to-have: * Hands-on ...

1872 Consulting

Senior Data Scientist

San Francisco, CA · On-site

Senior Data Scientist San Francisco/Austin Responsibilities * Participate and guide all aspects of ... Mastery of Python, data wrangling libraries (Pandas, Numpy, etc.), and machine learning libraries ...

1872 Consulting

Senior Data Scientist

San Francisco, CA · On-site

Senior Data Scientist San Francisco/Austin Responsibilities * Participate and guide all aspects of ... Mastery of Python, data wrangling libraries (Pandas, Numpy, etc.), and machine learning libraries ...

3B Staffing LLC

Data Scientist

Oakland, CA · On-site

$115 - $120/hr

Data Scientist, Principal Client: PG&E Location: Hybrid - Oakland, CA Duration: 12+ Months Visa ... Proficiency in Python/PySpark, code reviews, and software-development best practices * Ability to ...

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Scientist Python information

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$41.4K

$135.5K

$217K

How much do scientist python jobs pay per year?

As of Sep 6, 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.

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 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 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.

How much do Python data scientists make?

Python data scientists typically earn a median salary ranging from $90,000 to $130,000 annually, depending on experience, location, and industry. Advanced skills in machine learning, data analysis, and proficiency with tools like Pandas and TensorFlow can lead to higher compensation.

What are 10 careers related to Python?

A Python-focused scientist can pursue careers such as data scientist, machine learning engineer, data analyst, software developer, automation engineer, research scientist, bioinformatics specialist, quantitative analyst, AI engineer, and backend developer. These roles often require strong programming skills, knowledge of libraries like NumPy and Pandas, and experience with data analysis or software development environments.

Which scientist Python job is in demand?

Data scientist and machine learning engineer roles that require Python skills are currently in high demand across industries. These positions often seek proficiency in libraries like Pandas, NumPy, and TensorFlow, and may require experience with data analysis, modeling, and cloud platforms. Strong programming skills and relevant certifications can improve 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:

Scientist Python jobs near you

Data Scientist

Find Data Science

San Francisco, CA • On-site

Full-time

Re-posted yesterday

Job description

Data Scientist - San Francisco

We are seeking a talented and experienced Data Scientist to join our dynamic team in San Francisco. As a Data Scientist, you will play a pivotal role in harnessing data to drive strategic decision-making processes and enhance our product offerings. You will work within a collaborative, innovative environment where your insights will shape our business strategies and help us remain competitive in an increasingly data-driven world.

Your expertise in data analysis, machine learning, and statistical modeling will enable you to tackle complex business challenges. By transforming raw data into actionable insights, you will directly contribute to our mission of providing exceptional products and services that meet the needs of our clients and customers.

Key Responsibilities
  • Analyze large datasets to uncover trends, patterns, and insights that will inform business strategies.
  • Develop, implement, and maintain advanced machine learning models to optimize company performance.
  • Collaborate with cross-functional teams to integrate data-driven solutions into existing business processes.
  • Create visualizations and dashboards to present findings to various stakeholders effectively.
  • Conduct experiments and statistical analysis to evaluate the effectiveness of business strategies.
  • Stay updated on industry trends and best practices regarding data science methodologies and technologies.
  • Mentor junior data analysts and contribute to the development of their technical skills.
  • Document methodologies and processes to ensure that data science projects are scalable and sustainable.
  • Assist in the data governance process to ensure data accuracy and integrity.
Requirements
  • Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field.
  • Proven experience as a Data Scientist or similar role, preferably in a fast-paced environment.
  • Strong proficiency in programming languages such as Python or R.
  • Experience with data visualization tools (e.g., Tableau, Power BI) and SQL.
  • Solid understanding of machine learning algorithms and statistical analysis techniques.
  • Excellent analytical and problem-solving skills with a keen attention to detail.
  • Strong communication skills, with the ability to convey complex data insights to non-technical audiences.
  • Ability to work collaboratively in a team-oriented environment.
  • Experience with big data technologies (e.g., Hadoop, Spark) is a plus.