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Full Time Data Scientist Machine Learning Jobs in California

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Data Scientist

San Francisco, CA

Data Scientist - San Francisco We are seeking a talented and experienced Data Scientist to join our ... Your expertise in data analysis, machine learning, and statistical modeling will enable you to ...

BigHat Biosciences

Machine Learning Scientist

San Mateo, CA · On-site

$150K - $200K/yr

DS/ML (Data Science/Machine Learning) Employment Type: Full Time Location: San Mateo, CA Description The role: We are seeking a creative, ambitious Machine Learning Scientist or Engineer to advance ...

Meta

Research Scientist, Machine Learning

Sunnyvale, CA · On-site

$122K - $181K/yr

... and data-driven insights • Run controlled experiments to test research hypotheses, analyze ... degree in Machine Learning, Artificial Intelligence, Computer Science, Statistics, Applied ...

Nash, Inc.

Senior Data Scientist

San Francisco, CA · On-site +1

What you'll bring * 4+ years of experience as a Data Scientist, Machine Learning Engineer, or in a ... related quantitative role. * Experience in logistics, marketplaces, supply chain, operations ...

Tacit

Machine Learning Scientist

San Francisco, CA · On-site

$180K - $270K/yr

... data streams from our custom sensing hardware. You'll play a pivotal role in advancing our ... This position is full time, onsite in San Francisco (SOMA) * Company size: 30-40 people ...

VSolvit

DATA SCIENTIST II

Norco, CA · On-site

$115K - $130K/yr

In this role, you will apply advanced data analytics and machine learning techniques to explore ... Provide technical guidance and mentorship to junior data scientists and analysts Basic ...

Quince

Senior Data Scientist, Growth

Palo Alto, CA · On-site

THE ROLE Data Scientist, Growth We are seeking a Data Scientist, Growth to join our growing team ... Build end-to-end production machine learning models from 0 to 1 with immediate, high-visibility ...

Heluna Health

Data Scientist Supervisor

Alhambra, CA · On-site

$9.8K - $13K/mo

The Data Scientist Supervisor leads a team of data scientists within the DHS Data & Analytics Unit ... Apply advanced statistical methods, machine learning algorithms, and data mining techniques to ...

MasterCard

Senior Data Scientist

San Francisco, CA · On-site

Design, build, and deploy machine learning models for ad targeting, ranking, and bidding ... Mastercard benefits for full time (and certain part time) employees generally include: insurance ...

Heluna Health

Data Scientist Supervisor

Alhambra, CA · On-site

$9.8K - $13K/mo

The Data Scientist Supervisor leads a team of data scientists within the DHS Data & Analytics Unit ... Apply advanced statistical methods, machine learning algorithms, and data mining techniques to ...

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All JobsData Scientist Machine Learning JobsFull Time Data Scientist Machine Learning JobsFull Time Data Scientist Machine Learning Jobs in California

Full Time Data Scientist Machine Learning information

What does a full time data scientist specializing in machine learning do?

A Full Time Data Scientist specializing in Machine Learning is responsible for analyzing large datasets to discover patterns and insights, and for building, testing, and deploying machine learning models to solve business problems. They use statistical techniques, programming skills, and domain knowledge to turn raw data into actionable information. Their day-to-day tasks often include data cleaning, feature engineering, model selection, and performance evaluation. They also collaborate with other teams to integrate machine learning solutions into products or decision-making processes. This role typically requires proficiency in languages like Python or R, and familiarity with tools such as TensorFlow, scikit-learn, or PyTorch.

What are the key skills and qualifications needed to thrive as a full time data scientist specializing in machine learning?

To thrive as a Full Time Data Scientist Machine Learning, you need strong analytical skills, expertise in statistics, machine learning techniques, and a relevant degree in computer science, mathematics, or a related field. Proficiency with programming languages such as Python or R, experience with machine learning libraries like TensorFlow or scikit-learn, and familiarity with data visualization and big data platforms are typically required. Critical thinking, problem-solving abilities, and effective communication are essential soft skills for collaborating with stakeholders and translating data insights into business value. These skills are crucial for developing robust models, interpreting complex data, and driving impactful, data-driven decisions within organizations.

What are some common challenges faced by full time data scientists specializing in machine learning, and how can they be addressed?

Full-time Data Scientists in Machine Learning often encounter challenges such as dealing with messy or incomplete data, tuning complex models for optimal performance, and effectively communicating technical insights to non-technical stakeholders. Addressing these challenges usually involves collaborating closely with data engineers to improve data quality, staying updated with the latest ML techniques, and developing strong communication skills to translate findings into actionable business strategies. Additionally, regular code reviews and participation in cross-functional meetings help ensure alignment and foster a supportive team environment.

What is the difference between Full Time Data Scientist Machine Learning vs Data Analyst?

AspectFull Time Data Scientist Machine LearningData Analyst
Required CredentialsBachelor's/Master's in Data Science, Computer Science, or related; knowledge of ML algorithmsBachelor's in Statistics, Mathematics, or related; proficiency in data visualization and SQL
Work EnvironmentDeveloping ML models, programming in Python/R, deploying algorithmsData cleaning, reporting, creating dashboards, analyzing datasets
Industry UsageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Full Time Data Scientist Machine Learning roles focus on building and deploying machine learning models, requiring advanced programming and statistical skills. Data Analysts primarily interpret data, generate reports, and support decision-making with less emphasis on ML techniques. Both roles are vital but differ in technical depth and responsibilities.

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

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

Full Time Data Scientist Machine Learning jobs near you

Research Data Scientist - Urology, Hung Lab

West Hollywood, CA

Cedars Sinai
Hospitals • 10K+ employees
Learn more about Cedars Sinaiexternal

Full-time

Posted 26 days ago

Cedars-Sinai rating

8.6

Company rating: 8.6 out of 10

Based on 131 frontline employees who took The Breakroom Quiz

Job description

Dr. Andrew Hung is looking for a Research Data Scientist to join a diverse team!

The Research Data Scientist participates in biomedical research projects using programming, data mining, statistics, machine learning, and visualization techniques to lead the development, evaluation, and/or application of algorithms, methods, and software for data analysis. Responsibilities include querying databases, data processing, data cleaning and quality control, supervised and unsupervised machine learning, parametric and nonparametric statistical methods, deploying production models, and leading the communication of scientific findings via peer-reviewed publications and scientific conferences. Writes clean, performant, reusable code managed on GitHub to perform repeatable analyses and to train and deploy models to multiple environments.
Principal Responsibilities:
 

Leads the development, evaluation, and/or application of computational and statistical methods including artificial intelligence and machine learning algorithms and software for the analysis of biomedical data.
 

Leads with the presentation and communication of scientific results through laboratory meetings, scientific conferences, and peer-reviewed publications.
 

Creates database-to-deployment pipelines for models using the necessary programming languages (primarily R, Python, SQL, neo4j).
 

Creates sustainable data science infrastructure and adheres to data analysis/machine learning best practices.
 

Performs data cleaning, quality control, exploratory data analysis to gauge the need for or appropriateness of advanced analytical methods.
 

Leads discussions with senior and/or lead research data scientists and principal investigators to identify areas where data science can best be applied to answer biomedical research questions.
 

Tests and validates code to ensure robustness of data applications with version control through GitHub.
 

Performs all other duties as assigned.

Education:

Bachelor's Degree, computer science, machine learning, applied mathematics, econometrics, statistics, engineering, physics, or related discipline - Required. 
 

Master's Degree, computer science, machine learning, applied mathematics, econometrics, statistics, engineering, physics, or related discipline- Preferred
Work Experience:

2 years of professional experience in healthcare or pharmaceutical industries working with biomedical data - Required.
 

2 years of Experience programming at an intermediate skill level with a high-level programming language such as R or Python. College projects may be acceptable - Required.
 

2 years of Experience programming at a basic to intermediate proficiency level in SQL - Required.
 

No experience required Experience in biomedical machine learning is preferred

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