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Data Science R Jobs in Los Angeles, CA (NOW HIRING)

Data Science and AI The Data Science team is pivotal in the delivery of modern agency services. We ... Meta (Blueprint), SQL, Python, R (online) Expert-level domain knowledge of business/industry ...

Data Science and AI The Data Science team is pivotal in the delivery of modern agency services. We ... Meta (Blueprint), SQL, Python, R (online) Expert-level domain knowledge of business/industry ...

Must have excellent communication Summary The Data Scientist is a member of a highly motivated Tech ... Proficiency in using Python, R, or similar mathematical programming languages for advanced ...

... data science, analytics, or a related quantitative role. * Working knowledge of SQL and experience querying large datasets. * Proficiency in Python or R for data analysis. * Foundational ...

Data Scientist Supervisor

Alhambra, CA · On-site

$9.8K - $13K/mo

Quality Assurance & Best Practices - Establish and enforce best practices in data science ... Advanced programming skills in Python, R, and SQL for model development and data processing.

Quality Assurance & Best Practices - Establish and enforce best practices in data science ... Advanced programming skills in Python, R, and SQL for model development and data processing.

D. in Computer Science, Statistics, or a related field • Proficiency in programming languages ... R • Experience with machine learning algorithms and statistical modeling techniques • Strong ...

Data Scientist II

Los Angeles, CA · Hybrid

$131K - $172K/yr

... science, applied analytics, or a related quantitative field (industry, academia, or both) * 2+ years of experience using SQL and Python and/or R to query, analyze, and manipulate data * 2+ years of ...

D. in Computer Science, Statistics, or a related field • Proficiency in programming languages ... R • Experience with machine learning algorithms and statistical modeling techniques • Strong ...

Python, R, SQL, SAS, NLTK, Scikit-Learn, Excel, Tableau, Power BI, and Jupyter; Basic data science concepts: probability, statistics, hypothesis testing, machine learning, natural language processing ...

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Data Science R information

See Los Angeles, CA salary details

$40.4K

$132.3K

$211.7K

How much do data science r jobs pay per year?

As of Aug 28, 2026, the average yearly pay for data science r in Los Angeles, CA is $132,252.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,100.00 and $146,500.00 per year, depending on experience, location, and employer.

What is a Data Science R?

A Data Science R job involves using the R programming language for data analysis, statistical modeling, and machine learning. Professionals in this role work with large datasets, clean and preprocess data, apply predictive modeling techniques, and visualize insights. They often use libraries like ggplot2, dplyr, and caret to manipulate data and build models. This role is common in industries such as finance, healthcare, and marketing, where data-driven decision-making is essential. Strong statistical knowledge, programming skills, and domain expertise are key to success in this position.

What does a Data Science R do?

In most organizations, Data Science R professionals spend their days gathering and cleaning data, performing exploratory data analysis with R, building and evaluating predictive models, and generating data visualizations to communicate results. They often meet with cross-functional teams to understand business needs, translate them into data projects, and present key findings. Additionally, they may write reproducible R scripts, maintain data pipelines, and document their methodologies. Collaboration, experimentation, and clear communication are integral parts of the role, enabling solutions that directly impact business outcomes.

What are the key skills and qualifications needed to thrive in the Data Science R position, and why are they important?

To thrive as a Data Science R professional, you need solid expertise in statistics, machine learning, and programming in R, often supported by a degree in data science, statistics, or a related field. Experience with R-based data analysis libraries, visualization tools like ggplot2, and familiarity with databases or cloud platforms is typically expected; certifications in data science or R programming can be advantageous. Strong problem-solving abilities, attention to detail, and effective communication with stakeholders help distinguish top performers in this role. These skills are essential for delivering actionable insights from complex datasets and driving data-informed decision-making within organizations.

Is R useful for data science?

Data Science R is a popular programming language used for statistical analysis, data visualization, and machine learning. It offers extensive libraries and tools that are widely adopted in data science workflows, making it a valuable skill for data analysts and data scientists. Proficiency in R can enhance data manipulation, modeling, and reporting capabilities in data science roles.

What are the most commonly searched types of Data Science R jobs in Los Angeles, CA?

The most popular types of Data Science R jobs in Los Angeles, CA are:

What job categories do people searching Data Science R jobs in Los Angeles, CA look for?

The top searched job categories for Data Science R jobs in Los Angeles, CA are:

Infographic showing various Data Science R job openings in Los Angeles, CA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $132,252 per year, or $63.6 per hour.

Director, Data Science

Los Angeles, CA • Hybrid

Omnicom
Telecommunications • 1 - 10 employees

Full-time

Posted 29 days ago


Job description

Agency:

Omnicom Media

Job Function:

Data and Analytics

Job Subfunction:

Data Science and AI


Job Description:

The Data Science team is pivotal in the delivery of modern agency services. We are tightly integrated with marketing science teams to deliver on and exceed our clients' business goals.
Responsibilities
External facing responsibilities:
Partner with Planning & Investment teams to provide expert hands-on and well as strategic Data Science support across the entire campaign lifecycle.
Build advanced ML models to cluster and segment audiences, scale and deploy custom audiences across various platforms/ publishers
Run descriptive and diagnostic analyses to help measure campaign performance within clean rooms and/or other analytics platforms (e.g., Google ADH, Facebook advanced analytics, Amazon Marketing Cloud, etc.)
Help develop strategic analytical roadmaps to institutionalize data driven outcomes
Excellent project management skills with an ability to set and achieve goals, meet deadlines and act with a strong sense of urgency without compromising executional excellence
Leverage technical (coding) expertise to help bring about process efficiencies
Internal facing responsibilities:
Build and present decks that provide a compelling narrative to decode complex analytical results to technical and non-technical audiences
Help design and develop the DS practice knowledge repository and delegate tasks to junior resources to support vision
Lead and train direct reports and manage their career progression
Required Skills
Hands-on programming language skills (SQL, Python, R, etc)
Experienced in machine learning techniques, causal models, etc. to support the analysis of information
Advanced presentation and communication skills
Experience working with non-technical teams
Clear understanding of digital clean rooms, and their related concepts and strategy
Certifications in any of the following: Meta (Blueprint), SQL, Python, R (online)
Expert-level domain knowledge of business/industry
Education and Experience
A university degree in mathematics, computer science, statistics or related field, and 7-10 years of experience in informatics work in academia, advertising, management consulting, marketing or digital consulting
Knowledge of agency-side execution process is desirable, but not required California: $90,000.00-$215,000.00

Omnicom's policy requires employees to work in the office for a minimum of three days a week, unless additional in-office days are directed by their agency or manager. Our objective is to increase this requirement over time, and many of our agencies as well as Omnicom's corporate group already require five days of in-office attendance.


Omnicom is committed to hiring and developing exceptional talent. We agree that talent is uniquely distributed, and we're focused on developing inclusive teams that can bring the best solutions to everything we do. We strongly believe that celebrating what makes us different makes us better together. Join us-we look forward to getting to know you. We will process your personal data in accordance with our Recruitment Privacy Notice.


Link to Recruitment Privacy Notice: https://www.omc.com/privacy-notice


For US Job Seekers:


It is the policy of Omnicom and any of its affiliates to provide equal employment opportunities to all employees and applicants for employment without regard to race, religion, color, ethnic origin, gender, gender identity, age, marital status, veteran status, sexual orientation, disability, or any other basis prohibited by applicable federal, state, or local law. EOE/AA/M/D/V/F.