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Scientist Python Jobs in Hayward, CA (NOW HIRING)

Unikon IT

Data Scientist

San Jose, CA · On-site

Data Scientist Location : San Jose , CA (Hybrid) Description: analyzes large, complex datasets to ... Strong proficiency in Python (including Pandas, NumPy, Scikit-Learn, TensorFlow) or R. * Practical ...

Snowflake

Senior Data Scientist

Menlo Park, CA · On-site

$184K - $264K/yr

Strong proficiency in Python and the scientific Python ecosystem; fluency in SQL. * Experience designing systems for large-scale data processing (e.g., Snowflake, BigQuery, Redshift, Spark)

ClifyX

Python Developer

Sunnyvale, CA · On-site

$58.75 - $80.75/hr

ClifyX is a company seeking a Python Developer to analyze complex data sets and improve data ... science / engineering, IT, Electronics / Electrical engineering, Applied Mathematics or any ...

Info Way Solutions

PYTHON SDET

Fremont, CA · On-site

$55.25 - $76/hr

The role requires strong experience in test automation and Python programming, along with expertise in data science libraries. Qualifications : Required : • Minimum of 6+ years with Master or 8+ ...

Kanak Elite Services Inc

Python Developer

Sunnyvale, CA · On-site

$59 - $81.25/hr

Role: Python Developer Locations: Sunnyvale, CA (3 Days Onsite) Project Duration: 06+ Months ... degree in Computer Science/Engineering or equivalent * 7+ years of experience as a software ...

Jobsbridge

Python Software Developer

San Jose, CA · On-site

$59 - $81.25/hr

Company Description Intelliswift Software, Inc Bachelor's Degree in Computer Science is required ... Python, Java) and scripting skills(Bash) are required with demonstrated ability to solve complex ...

Azumo

Python Engineer

San Francisco, CA · On-site

$120 - $160/hr

Azumo is looking for a highly motivated Python Engineer to develop and enhance high performing and ... Computer Science, related degree, or equivalent experience * 5+ years experience with backend ...

Kanak Elite Services Inc

Python Developer

Sunnyvale, CA · On-site

$59 - $81.25/hr

PYTHON DEVELOPER LOCATIONS: SUNNYVALE, CA (3 DAYS ONSITE) INTERVIEW PROCESS: 1 ONSITE INTERVIEW ... degree in Computer Science/Engineering or equivalent * 7+ years of experience as a software ...

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All JobsScientist Python JobsScientist Python Jobs in Hayward, CA

Scientist Python information

See Hayward, CA salary details

$43K

$140.7K

$225.3K

How much do scientist python jobs pay per year?

As of Sep 6, 2026, the average yearly pay for scientist python in Hayward, CA is $140,718.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,900.00 and $155,900.00 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 are popular job titles related to Scientist Python jobs in Hayward, CA?

For Scientist Python jobs in Hayward, CA, the most frequently searched job titles are:

What job categories do people searching Scientist Python jobs in Hayward, CA look for?

The top searched job categories for Scientist Python jobs in Hayward, CA are:

What cities near Hayward, CA are hiring for Scientist Python jobs?

Cities near Hayward, CA with the most Scientist Python job openings:

Scientist Python jobs near you
Infographic showing various Scientist Python job openings in Hayward, CA as of August 2026, with employment types broken down into 1% Internship, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 76% Physical, 6% Hybrid, and 18% Remote job distribution, with an average salary of $140,718 per year, or $67.7 per hour.

Data Scientist

Unikon IT

San Jose, CA • On-site

Other

Posted 9 days ago

Job description

Data Scientist

Location : San Jose , CA (Hybrid)

Description:

analyzes large, complex datasets to derive actionable insights, design machine learning algorithms, and build robust predictive models. This role involves collaborating closely with product, engineering, and business leaders to turn raw data into strategic, scalable solutions that drive company growth and efficiency. The ideal candidate will blend strong programming and statistical expertise with advanced AI capabilities while strictly adhering to data privacy, ethical guidelines, and organizational standards.

Key Responsibilities

Data Engineering & Infrastructure

  • Build and maintain ETL processes to clean, transform, and merge structured and unstructured data from multiple sources.
  • Optimize data infrastructure for performance, scalability, and cost-efficiency.
  • Automate routine data tasks and workflows to enhance overall operational efficiency.

Advanced Analytics & Modeling

  • Conduct statistical analysis and data mining on large datasets to identify historical trends, patterns, and anomalies.
  • Design, implement, and deploy statistical models, machine learning algorithms, and forecasting systems.
  • Drive the design, development, and optimization of end-to-end AI/ML frameworks, integrating Natural Language Processing (NLP) techniques where applicable.
  • Design and execute controlled A/B tests to evaluate new features or business strategies.

Collaboration & Communication

  • Partner with cross-functional teams to translate complex technical findings into clear, plain-English recommendations.
  • Create automated dashboards and visual stories to track performance using modern business intelligence tools.
  • Adhere to internal standards, security policies, responsible AI practices, and ethical data privacy guidelines.

Required Skills & Qualifications

Technical Skills & Tools

  • Strong proficiency in Python (including Pandas, NumPy, Scikit-Learn, TensorFlow) or R.
  • Practical experience with distributed storage and processing frameworks like PySpark, Apache Spark, Hadoop, Hive, Snowflake, or Azure Databricks.
  • Advanced knowledge of SQL for complex querying and data extraction.
  • Solid understanding of core machine learning (regression, classification, clustering, decision-making trees) and NLP techniques.
  • Firm grasp of statistical analysis, probability distributions, and hypothesis testing.
  • : Experience with tools such as Tableau, Power BI, and Matplotlib.

Core Mandatory Skills

  • PySpark - Data Science
  • Python - Data Science

Preferred Qualifications

  • Hands-on experience with major cloud platforms (AWS, Google Cloud, Azure) and data lakes.
  • Familiarity with version control using Git.
  • Knowledge of prompt engineering, generative AI tools, and productivity automation.

Desired Attributes

  • Natural curiosity coupled with strong analytical abilities to tackle real-world data projects.
  • Ability to explain complex model mechanics to non-technical stakeholders and executives.
  •  Adaptability to rapidly evolving AI technologies and a commitment to staying updated on model interpretability.

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