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Volunteer Computer Data Scientist Jobs in California

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.

We have an opening for a Data Scientist to provide solutions for various projects ... You will work in a dynamic, multidisciplinary team of independent/entrepreneurial computer ...

Data Scientist

Livermore, CA · On-site

$9.8K/wk

We have an opening for a Data Scientist to provide solutions for various projects ... You will work in a dynamic, multidisciplinary team of independent/entrepreneurial computer ...

We have an opening fora Data Scientist to provide solutions for various projects ... You will work in a dynamic, multidisciplinary team of independent/entrepreneurial computer ...

Data Scientist Location: Sunnyvale, CA Sponsorship: Yes Relocation: Yes Industry: eCommerce Are you ... PhD in Computer Science, Statistics or related field; OR a Master's degree or equivalent in ...

Writes computer programs and analyzes large datasets to uncover answers to complex problems ... Basic data science concepts: probability, statistics, hypothesis testing, machine learning, natural ...

Writes computer programs and analyzes large datasets to uncover answers to complex problems ... Basic data science concepts: probability, statistics, hypothesis testing, machine learning, natural ...

Writes computer programs and analyzes large datasets to uncover answers to complex problems ... Basic data science concepts: probability, statistics, hypothesis testing, machine learning, natural ...

Writes computer programs and analyzes large datasets to uncover answers to complex problems ... Basic data science concepts: probability, statistics, hypothesis testing, machine learning, natural ...

Qualifications for Data Scientist Strong problem solving skills with an emphasis on product ... Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw ...

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Volunteer Computer Data Scientist information

What is the difference between Volunteer Computer Data Scientist vs Volunteer Data Analyst?

AspectVolunteer Computer Data ScientistVolunteer Data Analyst
Required CredentialsBasic programming skills, knowledge of data science toolsData analysis skills, proficiency in Excel, SQL
Work EnvironmentCollaborative projects, nonprofit or research settingsData interpretation, reporting in nonprofit or community projects
Employer & Industry UsageResearch institutions, nonprofits, tech startupsNonprofits, community organizations, small businesses

Volunteer Computer Data Scientists and Volunteer Data Analysts often share similar skills like data handling and analysis. However, data scientists typically focus on building models and advanced analytics, while data analysts concentrate on interpreting data and creating reports. Both roles are vital in nonprofit and research settings, but data scientists usually require more technical expertise in programming and machine learning.

Can you get a volunteer computer data scientist job with no experience?

Volunteer computer data scientist roles often accept candidates with limited or no professional experience, especially if they have relevant skills such as programming, data analysis, or familiarity with tools like Python or R. Building a portfolio through personal projects, online courses, or certifications can improve chances of securing such volunteer positions. However, some roles may require basic understanding of data concepts or prior exposure to data science environments.

What are the most commonly searched types of Computer Data Scientist jobs in California?

The most popular types of Computer Data Scientist jobs in California are:

What cities in California are hiring for Volunteer Computer Data Scientist jobs?

Cities in California with the most Volunteer Computer Data Scientist job openings:

Data Scientist

Find Data Science

San Francisco, CA

Full-time

Posted 17 days ago


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.