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Manager Meta Data Science Jobs in California (NOW HIRING)

Tatari

Data Science Analyst

Los Angeles, CA · On-site

$70K - $85K/yr

... 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 Scientist, Product Analytics

Menlo Park, CA

$119K/yr

... Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta * Bachelor's degree in Mathematics, Statistics, a relevant ...

Meta

Data Engineer, Product Analytics

Menlo Park, CA · On-site +1

$177K/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 · On-site +1

$147K/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 ...

Tatari

Data Science Analyst

Los Angeles, CA

$70K - $85K/yr

... 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 Scientist, Product Analytics

Sunnyvale, CA

$119K/yr

... Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta * Bachelor's degree in Mathematics, Statistics, a relevant ...

Meta

Data Scientist, Product Analytics

Sunnyvale, CA

$177K/yr

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp ...

Meta

Data Scientist, Product Analytics

Menlo Park, CA

$177K/yr

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp ...

Meta

Data Engineer, Product Analytics

San Francisco, CA · On-site +1

$147K/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

Seattle, WA · On-site +1

$177K/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

New York, NY · On-site +1

$177K/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 Scientist, Product Analytics

Sunnyvale, CA

$147K/yr

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp ...

Meta

Data Scientist, Product Analytics

Menlo Park, CA

$147K/yr

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp ...

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Manager Meta Data Science information

What is the 80 20 rule in data science?

The 80/20 rule in data science suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists and managers often focus on the most impactful features or data subsets to optimize model performance and resource allocation.

Is 40 too old for data science?

Age is not a barrier to becoming a manager in data science; many professionals successfully transition into the field at various ages. Success depends on skills, experience, and continuous learning, such as mastering tools like Python or R and staying current with industry trends. Employers value diverse experience and problem-solving abilities regardless of age.

How much do meta data scientist managers make?

Meta Data Science Manager salaries typically range from $130,000 to $200,000 annually, depending on experience, location, and company size. Senior managers or those in high-cost areas may earn higher compensation, often including bonuses and stock options. Strong leadership, technical skills, and experience with machine learning tools are important for this role.

What does a Manager of 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.

What is the salary of a Data Scientist in Meta?

A Data Scientist at Meta typically earns a base salary ranging from $120,000 to $180,000 annually, depending on experience and location. Total compensation often includes bonuses, stock options, and other benefits, reflecting the company's competitive pay structure for data science roles.

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, and why are they important?

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 are popular job titles related to Manager Meta Data Science jobs in California? For Manager Meta Data Science jobs in California, the most frequently searched job titles are:
What job categories do people searching Manager Meta Data Science jobs in California look for? The top searched job categories for Manager 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
Data Science Analyst

Data Science Analyst

Tatari

Los Angeles, CA • On-site

$70K - $85K/yr

Full-time

Medical, Retirement, PTO

Posted 25 days ago

Job description

Tatari is on a mission to revolutionize TV advertising. Founded in 2016 to help transform the antiquated world of TV advertising through the intelligent application of AI and machine learning, Tatari helps some of the world's fastest growing brands including Chime, Calm, Tecovas, Manscaped, Saatva, and Liquid I.V., reach their customers using linear and streaming TV ads. Our platform combines sophisticated media buying with proprietary analytics to turn TV advertising into an automated, digital-like experience, enabling businesses of any size to advertise on TV.
That approach has earned Tatari broad industry recognition, including being named Best CTV AdTech Platform in the 8th annual MarTech Breakthrough Awards, as well as honors from Digiday (Best Connected TV Platform), AdExchanger (Most Innovative TV Advertising Technology), and Business Insider (Hottest AdTech Companies). Tatari has also been recognized as the Best Place to Work by Inc. Magazine. Backed by an executive team of former founders and senior leaders from companies including Shazam, TrueCar, AdapTV, LiveRail, Amazon, Google, Meta, Microsoft, and Yahoo, Tatari continues to scale rapidly as TV advertising enters its next major era.
We're looking for a Data Science Analyst to join the Data Science team. In this role, you will work in a fast-paced environment with diverse data sets and technologies to build production quality, scalable and automated solutions for a varied set of challenging data problems. Under the guidance of our Senior Data Scientists and Senior Data Science Analysts, you will have the freedom to utilize the latest technologies to solve challenging problems, create innovative applications from the ground up, and understand exactly what it takes to create a reliable online experience for our customers. This role collaborates closely with our technology teams to provide profound insights from your analysis, and optimize our business, with the ultimate goal of helping Tatari redefine the TV ad buying experience.
Responsibilities:
  • Automate data-driven tasks; design processes that require zero intervention
  • Work cross-functionally within the organization to deliver integrated business solutions
  • Provide ad-hoc data analysis, utilizing Python, PySpark, and SQL to identify and forecast trends and conduct deep-dive quantitative analyses to optimize client marketing performance
  • Use best-in-class tools like Databricks, and Tableau to empower insightful analysis for advertising partners

Qualifications:
  • Bachelors degree in Business, Management, Economics, Accounting, Finance, or Computer and Information Science required
  • 1-2 years of academic and/or professional experience in Data Manipulation Software (e.g., SQL, Python, Pandas)
  • Demonstrated abilities to manipulate, analyze, and interpret large amounts of data and to organize findings and translate them into actionable insights using original or innovative techniques
  • Extremely organized with great attention to detail
  • Excellent ability to analyze information and think systematically
  • Works well independently and as part of a team
  • Ability to handle databases and understand technology-driven business tools
  • A sense of curiosity and desire to learn!

Benefits:
  • Total compensation ($70,000 - $85,000)
  • Equity compensation
  • Health insurance coverage for you and your dependents
  • 401K, FSA, and commuter benefits
  • $150 monthly spending account
  • $1,000 annual continued education benefit
  • $500 Newbie Productivity Perk
  • Unlimited PTO and sick days
  • Monthly Company Wellness Day Off
  • Snacks, drinks, and catered lunches at the office
  • Team building events
  • Hybrid RTO of 2 days per week. THIS IS AN IN-OFFICE POSITION

At Tatari, we believe in the importance of cultivating teams with diverse backgrounds and offering equal opportunities to all. We strive to create a welcoming, inclusive environment where every team member feels valued and diversity is celebrated.
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