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Data Science Junior Jobs in California (NOW HIRING)

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 ...

Data Science and AI The Data Science team is pivotal in the delivery of modern agency services. We ... junior resources to support vision Lead and train direct reports and manage their career ...

Data Science and AI The Data Science team is pivotal in the delivery of modern agency services. We ... junior resources to support vision Lead and train direct reports and manage their career ...

Passion for mentoring senior and junior data scientists, fostering technical excellence, and building a culture of experimentation and rigorous thinking. * Customer Empathy * Experience engaging ...

Beyond hands-on analytics, you will mentor junior colleagues, promote best practices, and lead complex projects - shaping the way data science and statistics contribute to PT's success. Main ...

Data Scientist II

Los Angeles, CA · Hybrid

$131K - $172K/yr

Help ensure data science processes and outputs align with broader team strategies and roadmaps * Provide guidance or informal mentorship to junior data scientists or analysts when needed * Contribute ...

Senior Data Scientist

South San Francisco, CA · On-site

$156.20 - $290.20/hr

Beyond hands‑on analytics, you will mentor junior colleagues, promote best practices, and lead complex projects - shaping the way data science and statistics contribute to PT's success. Main ...

Data Scientist

San Ramon, CA · On-site

$93 - $98/hr

Performs collaborative work on data science problems and mentors junior data scientists. * Creates shared process models, business objects, activity diagrams, and process documentation. * Manages ...

Data Science Are you an experienced Data Scientist with 5+ years' experience who likes solving ... As a senior member of the team you will be expected to guide and mentor more junior engineers. This ...

Data Scientist Supervisor

Alhambra, CA · On-site

$9.8K - $13K/mo

... science projects from ideation to implementation. * Excellent communication skills to present complex insights to both technical and non-technical audiences. * Experience mentoring junior data ...

... science projects from ideation to implementation. * Excellent communication skills to present complex insights to both technical and non-technical audiences. * Experience mentoring junior data ...

... science areas, work closely with various teams to make data-driven decisions, and mentor junior data scientists while representing the data science discipline across the organization.

Data Science and Analytics As an Associate Director on the Marketing Science Measurement and ... Experience partnering with mid-level and junior clients on key deliverables. Prior management of ...

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Data Science Junior information

See California salary details

$34K

$78.3K

$125.8K

How much do data science junior jobs pay per year?

As of Aug 28, 2026, the average yearly pay for data science junior in California is $78,313.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,300.00 and $80,400.00 per year, depending on experience, location, and employer.

What is a data science junior?

A Data Science Junior is an entry-level role in data science where professionals assist in analyzing data, building models, and generating insights. They work under the guidance of senior data scientists, helping with data cleaning, visualization, and basic machine learning tasks. This role requires proficiency in programming languages like Python or R, knowledge of statistics, and familiarity with data manipulation tools. It serves as a foundation for gaining hands-on experience and advancing in the data science field.

What are the typical daily responsibilities of a data science junior?

As a Data Science Junior, your daily tasks often include cleaning and preparing data sets, conducting exploratory data analyses, and supporting the development of predictive models under the guidance of senior team members. You may also assist in visualizing data and preparing reports to help communicate insights to both technical and non-technical stakeholders. Collaboration is a key part of the role, as you'll frequently work with data engineers, analysts, and business teams to understand project goals. These responsibilities help you build foundational skills and gain exposure to a variety of real-world data problems early in your career.

What are the key skills and qualifications needed to thrive as a data science junior?

To thrive as a Data Science Junior, a strong understanding of statistics, mathematics, and data analysis is essential, often supported by a bachelor's degree in a related field. Familiarity with programming languages like Python or R, as well as tools such as SQL and visualization platforms, is typically required. Strong problem-solving abilities, effective communication, and a willingness to learn make candidates stand out in this role. These skills enable efficient data exploration, clear communication of insights, and successful collaboration on data-driven projects.

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

The most popular types of Data Science jobs in California are:

What cities in California are hiring for Data Science Junior jobs?

Cities in California with the most Data Science Junior job openings:

Infographic showing various Data Science Junior job openings in California as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, and 5% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $78,313 per year, or $37.7 per hour.

Data Scientist

San Francisco, CA

Full-time

Posted 21 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.