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Manager Meta Data Science Jobs in California (NOW HIRING)

Omnicom

Director, Data Science

Los Angeles, CA · On-site

... management skills with an ability to set and achieve goals, meet deadlines and act with a strong ... Meta (Blueprint), SQL, Python, R (online) Expert-level domain knowledge of business/industry ...

Five9

Vice President, Data Science

San Ramon, CA

You are expected to also be hands on, not just a manger, and be directly responsible for some ... Google, Meta, Mistral), including evaluation, benchmarking, and tradeoff analysis. * Model ...

Tatari

Data Science Analyst

San Francisco, CA

$70K - $85K/yr

  • Medical

  • Retirement

  • PTO

... Meta, Microsoft, and Yahoo, Tatari continues to scale rapidly as TV advertising enters its next ... Bachelors degree in Business, Management, Economics, Accounting, Finance, or Computer and ...

Tatari

Data Science Analyst

San Francisco, CA · On-site

$70K - $85K/yr

  • Medical

  • Retirement

  • PTO

... Meta, Microsoft, and Yahoo, Tatari continues to scale rapidly as TV advertising enters its next ... Bachelors degree in Business, Management, Economics, Accounting, Finance, or Computer and ...

Tatari

Data Science Analyst

Los Angeles, CA · On-site

$70K - $85K/yr

  • Medical

  • Retirement

  • PTO

... Meta, Microsoft, and Yahoo, Tatari continues to scale rapidly as TV advertising enters its next ... Bachelors degree in Business, Management, Economics, Accounting, Finance, or Computer and ...

Tatari

Data Science Analyst

Los Angeles, CA

$70K - $85K/yr

  • Medical

  • Retirement

  • PTO

... Meta, Microsoft, and Yahoo, Tatari continues to scale rapidly as TV advertising enters its next ... Bachelors degree in Business, Management, Economics, Accounting, Finance, or Computer and ...

Meta

Data Center Electrical Engineer

Menlo Park, CA · On-site

$173K - $245K/yr

Meta is seeking a Data Center Electrical Engineer experienced in the design and operations of ... busway etc.) • Manage the selection, procurement, and ongoing oversight of essential ...

Meta

Data Center Electrical Engineer

Menlo Park, CA

$173K/yr

Meta is seeking a Data Center Electrical Engineer experienced in the design and operations of ... Manage the selection, procurement, and ongoing oversight of essential infrastructure equipment ...

Meta

Data Engineer, Product Analytics

Los Angeles, CA

$114K/yr

In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user ...

Meta

Data Engineer, Product Analytics

Menlo Park, CA

$114K/yr

In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user ...

Meta

Finance Manager, Infrastructure

Menlo Park, CA

$195K/yr

The Infrastructure Finance team manages Meta's capital and operating expenses for Infrastructure ... and Data Science. This role requires understanding and contributing to many facets of a rapidly ...

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Manager Meta Data Science information

What does a manager meta data science do?

A Manager of Meta Data Science leads a team of data scientists in developing and implementing advanced analytics, machine learning models, and data-driven strategies for Meta (formerly Facebook). They are responsible for overseeing projects, mentoring team members, collaborating with cross-functional partners, and ensuring that data science solutions align with business goals. This role often requires both technical expertise and strong leadership skills to drive impactful decisions using data. Additionally, they work to improve processes, set research direction, and communicate findings to stakeholders.

How does a manager meta data science typically collaborate with cross-functional teams, and what communication challenges might arise?

A Manager Meta Data Science frequently collaborates with product managers, engineers, data analysts, and business stakeholders to ensure data-driven decision-making aligns with organizational goals. One common challenge is translating complex data science concepts into actionable business insights that are easily understood by non-technical teams. Effective communication and regular alignment meetings are essential to bridge knowledge gaps and ensure everyone is on the same page. Building strong relationships across departments and fostering a culture of transparency can help mitigate misunderstandings and streamline project delivery.

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

To thrive as a Manager Meta Data Science, you need strong expertise in data science, machine learning, statistical analysis, and a relevant advanced degree, often in computer science, mathematics, or a related field. Familiarity with programming languages like Python or R, data visualization tools, and cloud-based platforms, as well as experience with big data frameworks, are typically required. Leadership, strategic thinking, and effective communication are crucial soft skills that enable success in managing teams and collaborating across departments. These skills are important because they ensure the ability to lead complex projects, drive data-driven decision-making, and align analytics goals with organizational objectives.

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

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

What cities in California are hiring for Manager Meta Data Science jobs?

Cities in California with the most Manager Meta Data Science job openings:

Manager Meta Data Science jobs near you

Director, Data Science

Omnicom

Los Angeles, CA • On-site

Full-time

Posted 17 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 requiredCalifornia: $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.

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