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Director Python R Jobs in Pasadena, CA (NOW HIRING)

Meta (Blueprint), SQL, Python, R (online) Expert-level domain knowledge of business/industry ... days are directed by their agency or manager. Our objective is to increase this requirement ...

Meta (Blueprint), SQL, Python, R (online) Expert-level domain knowledge of business/industry ... days are directed by their agency or manager. Our objective is to increase this requirement ...

Senior Data Analyst

Los Angeles, CA

$92K - $116K/yr

Director of Emerging Technologies Location: Remote (Los Angeles-Orange County preferred; California ... Utilize SQL, Python, R, or other tools to extract and manipulate large datasets. Explore ...

Serve as a direct point of contact for internal business teams - communicating performance results ... Exposure to Python, R, or another scripting language. * Proficiency in Excel (pivot tables ...

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Director Python R information

See Pasadena, CA salary details

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How much do director python r jobs pay per hour?

As of Aug 31, 2026, the average hourly pay for director python r in Pasadena, CA is $63.94, according to ZipRecruiter salary data. Most workers in this role earn between $52.69 and $72.64 per hour, depending on experience, location, and employer.

What cities near Pasadena, CA are hiring for Director Python R jobs?

Cities near Pasadena, CA with the most Director Python R job openings:

Infographic showing various Director Python R job openings in Pasadena, CA as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, 1% Temporary, and 2% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $133,004 per year, or $63.9 per hour.

Director, Data Science

Omnicom

Los Angeles, CA • Hybrid

Full-time

Re-posted 12 hours 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.