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Data Science New Grad Jobs in California (NOW HIRING)

1 point system

Data Science Engineer

Century City, CA · On-site

Must have excellent communication Summary The Data Scientist is a member of a highly motivated Tech ... The work they are doing is a data conversion project where one team is building a new financial ...

Tatari

Data Science Manager

Los Angeles, CA

$160K - $220K/yr

Empower the team to innovate and explore new methodologies and improve upon existing algorithms ... Own Data Science prioritization for AI/ML outcomes, allocate resources and manage workload * Drive ...

Tatari

Data Science Manager

San Francisco, CA · On-site

$160K - $220K/yr

Empower the team to innovate and explore new methodologies and improve upon existing algorithms ... Own Data Science prioritization for AI/ML outcomes, allocate resources and manage workload * Drive ...

Tatari

Data Science Manager

Los Angeles, CA · On-site

$160K - $220K/yr

Empower the team to innovate and explore new methodologies and improve upon existing algorithms ... Own Data Science prioritization for AI/ML outcomes, allocate resources and manage workload * Drive ...

Tatari

Data Science Manager

San Francisco, CA · On-site

$160K - $220K/yr

Empower the team to innovate and explore new methodologies and improve upon existing algorithms ... Own Data Science prioritization for AI/ML outcomes, allocate resources and manage workload * Drive ...

DEUNA

Data Science intern

San Francisco, CA · On-site

... new revenue. Built by the team behind DEUNA-the fastest-growing Commerce OS in Latin America-ATHIA ... Collaborate with Data Scientists, Data Engineers, and Product teams on ongoing initiatives.

DEUNA

Data Science intern

San Francisco, CA

... new revenue. Built by the team behind DEUNA-the fastest-growing Commerce OS in Latin America-ATHIA ... Collaborate with Data Scientists, Data Engineers, and Product teams on ongoing initiatives.

Brigit

Director of Data Science

San Francisco, CA · On-site

$225K - $250K/yr

Built In's 2025 Best Places to Work For In New York City * Built In's 2024 & 2025 Best Startups to ... At Brigit, our Data Science team has been dramatically scaling its impact. We're aiming to ...

Clera

Growth & Marketing Intern / New-Grad

San Francisco, CA · On-site

$17.75 - $23.50/hr

... New-Grad to help build and own the company's growth engine. You'll work across the full marketing ... who thinks like a scientist, moves fast, and wants to build repeatable, data-driven growth ...

Meta

Data Science Director

Menlo Park, CA

$253K/yr

Data Science Director Responsibilities: * Define the Data Science operating model across a ... Build organizational processes and structure for scale including recruiting, new hire onboarding ...

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All JobsData Science New Grad JobsData Science New Grad Jobs in California

Data Science New Grad information

What are Data Science New Grad roles?

Data Science New Grad roles are entry-level positions designed for recent graduates who have completed a degree in data science, computer science, statistics, or a related field. These roles typically involve working with data to analyze trends, build predictive models, and support business decision-making. New grads are expected to have foundational knowledge in programming, statistics, and machine learning, but are not required to have extensive work experience. These roles often offer mentorship and training to help new professionals grow their technical and analytical skills. Companies hire Data Science New Grads to bring fresh perspectives and to develop future data science talent.

What types of projects can a Data Science New Grad expect to work on during their first year?

As a Data Science New Grad, you can expect to work on a variety of projects such as cleaning and preprocessing data, developing predictive models, and assisting with data visualization and reporting. You may also collaborate closely with product managers, engineers, and senior data scientists to translate business problems into analytical solutions. Early projects often focus on building foundational skills and understanding the company’s data infrastructure, while gradually increasing in complexity as you gain experience. This hands-on exposure is designed to help you grow technically and understand how data science supports organizational goals.

What are the key skills and qualifications needed to thrive as a Data Science New Grad, and why are they important?

To thrive as a Data Science New Grad, you need a strong foundation in statistics, programming (typically Python or R), and data analysis, often supported by a degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks (such as TensorFlow or scikit-learn), data visualization tools, and SQL databases is highly valued. Strong problem-solving abilities, communication skills, and curiosity help new grads stand out when interpreting data and presenting insights. These competencies are crucial for transforming complex data into actionable business solutions and collaborating effectively within multidisciplinary teams.
What are popular job titles related to Data Science New Grad jobs in California? For Data Science New Grad jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Science New Grad jobs in California look for? The top searched job categories for Data Science New Grad jobs in California are:
What cities in California are hiring for Data Science New Grad jobs? Cities in California with the most Data Science New Grad job openings:
Data Science New Grad jobs near you
Infographic showing various Data Science New Grad job openings in California as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.
Data Science Engineer

Data Science Engineer

1 point system

Century City, CA • On-site

Contractor

Posted 22 days ago

Job description

Must take a coderbyte test.
Must have excellent communication
Job Description:
Summary
The Data Scientist is a member of a highly motivated Tech team responsible for accelerating the creation of opportunity through the strategic use of data. Incorporating the latest developments in Data Science (Generative, statistical modeling, machine learning, and advanced visualization) to solve complex business problems, they collaborate within a forward-thinking team to drive operational efficiency and shape innovative solutions for critical use cases.
The work they are doing is a data conversion project where one team is building a new financial application and needs to migrate financial data from multiple legacy source systems into the new platform. The work is developing Python scripts for data extraction, transformation, and validation, performing end-to-end testing, reconciling data accuracy, and managing the cutover process to ensure a smooth transition to the new system. The conversion is from Dynamics AX to SAP
Responsibilities
Development of Data Science Solutions:

  • Test and prototype innovative algorithms leveraging technologies such as Generative AI, NLP, and Machine Learning models
  • Partner with engineering teams to develop technology infrastructure
  • Build and refine models to maintain optimal performance and relevance

Collaboration and Communication

  • Work closely with cross-functional team to align data science initiatives with business priorities
  • Partner with leadership to identify and prioritize high-impact opportunities for data science applications
  • Present insights and recommendations through clear visualizations tailored for audiences across different roles and expertise levels

Data Wrangling:

  • Identify data sources that can be useful to answer business questions
  • Perform experiments on ingested data to evaluate quality and integrity
  • Build data pipelines for ongoing data extraction

Data Exploration and Visualization:

  • Use advanced visualization techniques to present data insights in a compelling way
  • Apply advanced analytics to create metrics and KPIs that summarize insights from data

Data Analysis:

  • Apply advanced statistical methods for classification and prediction, including machine learning methods
  • Document processes and analysis, using reproducible methods and scripts
  • Provide advice to the business on strengths and limitations of statistical results, to avoid misuse

 
Required Capabilities

  • Minimum 3 years working in a Data Science role
  • Bachelor’s degree in a relevant field such Mathematics, Science, Engineering, Computer Science, or Business
  • Master’s Degree in relevant discipline preferred
  • Hands-on experience with Generative AI models, including fine-tuning, deployment, and evaluation
  • Proficiency in using Python, R, or similar mathematical programming languages for advanced predictive modeling and visualization. Python expertise preferred
  • Proficiency in using SQL and modern Database management
  • Experience with Spark or similar distributed computing platforms
  • Experience with Deep Learning methods and applications (Keras, Torch, TensorFlow) preferred
  • Experience with Natural Language Processing methods and applications preferred
  • Experience successfully implementing analytical solutions with real-world business impact
  • Excellent analytical and problem-solving skills
  • Demonstrated initiative and ownership of tasks and projects
  • Ability to prioritize, coordinate, and complete tasks to meet deadlines
  • Ability to work effectively both independently and in team environments
  • Ability to present complex problems in simple terms