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Manager Meta Data Science Jobs in Arizona (NOW HIRING)

... science methodologies to workforce and organizational data to generate actionable insights that ... Manage workforce data governance activities, including data validation, audits, compliance ...

Our award-winning culture is collaborative, innovative, and science based. If you have a passion ... Change management to integrate tech transfer digital applications into product teams * Development ...

... science methodologies to workforce and organizational data to generate actionable insights that ... Manage workforce data governance activities, including data validation, audits, compliance ...

... science methodologies to workforce and organizational data to generate actionable insights that ... Manage workforce data governance activities, including data validation, audits, compliance ...

... Meta Data Management tools Must have the ability to multi-task and adapt quickly to changes while maintaining urgency in completing assigned tasks. Should be detail oriented with analytical mind set.

... management and automation of IT operational workflows. Qualifications * Education - * Bachelor's degree in Data Science, Computer Science, Statistics, Engineering, Mathematics, or a related field.

D.) in Mathematics, Economics, Statistics, Finance, Data Science, Actuarial Science, or a related ... Manages project milestones, risks, and impediments. * Escalates potential issues that could limit ...

D.) in Mathematics, Economics, Statistics, Finance, Data Science, Actuarial Science, or a related ... Manages project milestones, risks, and impediments. * Escalates potential issues that could limit ...

... management and automation of IT operational workflows. Qualifications * Education - * Bachelor's degree in Data Science, Computer Science, Statistics, Engineering, Mathematics, or a related field.

Sr Data Scientist

Scottsdale, AZ · On-site

$123K - $183K/yr

We also help merchants connect with their customers, process exchanges and returns, and manage risk ... Drive best practices in data science. * Ensure data quality and integrity in all processes.

Meta is seeking a Critical Operations Manager to join our Data Center Operations team. Our data centers serve as the foundation upon which our software operates to meet the demands of our customers.

Agentic AI, AI & Data Science Engineer

Tempe, AZ · On-site

$109K - $131K/yr

Work you'll do As an AI and Data Science Engineer III on the AI & Data team, you will be ... Managing small teams to identify business requirements, functional design, process design ...

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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. For a Manager of Data Science, understanding this principle helps prioritize features, models, or data sources that have the most significant impact on outcomes, enabling more efficient resource allocation and decision-making.

How much do meta data scientist managers make?

Meta Data Science Manager salaries typically range from $150,000 to $220,000 annually, depending on experience, location, and company size. They often receive additional compensation such as bonuses and stock options, and require strong leadership, technical skills, and experience managing data science teams.

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.

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.

Can data scientists make $300k?

Data scientists, including those in managerial roles like Manager of Data Science, can earn $300,000 or more annually, especially with extensive experience, advanced skills in machine learning and big data tools, and in high-paying industries such as finance or technology. Achieving this level often requires a combination of technical expertise, leadership abilities, and sometimes stock options or bonuses.

Is 40 too late for data science?

For a Manager in Data Science, age is not a barrier to entering or advancing in the field. Success depends on skills, experience, and continuous learning, such as mastering tools like Python or R and staying current with industry trends, regardless of age.

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 Arizona? The most popular types of Meta Data Science jobs in Arizona are:
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Senior Lead Data Science Consultant

Senior Lead Data Science Consultant

Wells Fargo

Chandler, AZ • On-site

Full-time

Medical, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Wells Fargo rating

7.8

Company rating: 7.8 out of 10

Based on 698 frontline employees who took The Breakroom Quiz

68th of 149 rated banks


Job description

About this role:

Wells Fargo is seeking a Senior Lead Data Science Consultant within our analytics team for Business Banking. This role will be responsible for developing and delivering advanced customer and banker placement analytics, including segmentation, portfolio optimization, performance analysis, and opportunity sizing.

Learn more about our career areas and lines of business at wellsfargojobs.com


In this role, you will:

  • Analyze large, complex datasets to identify trends, risks, and opportunities related to customer coverage, banker capacity, and client outcomes.
  • Design repeatable analytical frameworks to support strategic initiatives, governance reviews, and leadership reporting.
  • Ensure analytical outputs are accurate, auditable, and aligned with enterprise data and governance standards.
  • Execute highly complex analytical experiments and create innovative statistical models to discover solutions for abstract business problems across various domains
  • Partner with sales leadership teams to inform placement strategy and customer alignment decisions.
  • Support enterprise initiatives related to customer assignment, servicing models, and coverage optimization.
  • Translate analytical findings into clear business recommendations, highlighting tradeoffs and implications.
  • Build executiveready presentations (PowerPoint and verbal) for senior leaders, including SVPs and executive committees.
  • Clearly communicate complex analytical concepts to nontechnical audiences using data storytelling and visualizations.
  • Respond to adhoc leadership requests with concise, highimpact analyses and recommendations.
  • Collaborate with crossfunctional partners (Analytics, Banking, Risk, Operations, Technology).
  • Support governance processes by ensuring analytical outputs meet internal standards and documentation requirements.
  • Act as a trusted analytics advisor to stakeholders across the organization.

Required Qualifications:

  • 7+ years of data science experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science


Desired Qualifications:

  • Experience in banking, financial services, customer analytics, or coverage/placement models
  • Expertise in advanced analytics and data tools (e.g., SQL, Python, R, SAS) with hands-on experience in deep-dive analysis and data mining
  • Proficiency in data visualization and BI platforms (e.g., Power BI, Tableau, Alteryx) to develop interactive dashboards and reporting frameworks
  • Experience developing KPI frameworks, building business cases, and quantifying the financial impact of strategic initiatives
  • Familiarity with governance, risk, or compliance considerations in analytics.
  • Strong experience engaging executive stakeholders, including delivering clear, data-driven insights and recommendations to senior leadership
  • Strong analytical skillset, including experience with data analysis, modeling, and interpretation.
  • Experience working with structured datasets from enterprise data sources.
  • Strong business acumen with the ability to align analytics initiatives to enterprise goals, risk considerations, and regulatory/compliance needs
  • Ability to operate independently, navigate ambiguity and manage multiple priorities in a fastpaced environment.


Job Expectations:

  • Position offers a hybrid work schedule
  • This position is not eligible for Visa sponsorship
  • Relocation assistance is not available for this position

Locations:

  • 401 S. Tryon St. Charlotte, NC
  • 600 S 4th St Minneapolis, MN
  • 2700 S. Price Rd. Chandler, AZ

Pay Range

Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities.

$159,000.00 - $279,000.00

Benefits

Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. VisitBenefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.

  • Health benefits
  • 401(k) Plan
  • Paid time off
  • Disability benefits
  • Life insurance, critical illness insurance, and accident insurance
  • Parental leave
  • Critical caregiving leave
  • Discounts and savings
  • Commuter benefits
  • Tuition reimbursement
  • Scholarships for dependent children
  • Adoption reimbursement

Posting End Date:

7 Jul 2026

*Job posting may come down early due to volume of applicants.

We Value Equal Opportunity

Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.

Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements.

Applicants with Disabilities

To request a medical accommodation during the application or interview process, visitDisability Inclusion at Wells Fargo.

Drug and Alcohol Policy

Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.

Wells Fargo Recruitment and Hiring Requirements:

a. Third-Party recordings are prohibited unless authorized by Wells Fargo.

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.


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About Wells Fargo

Sourced by ZipRecruiter

Wells Fargo & Company (NYSE: WFC) is a leading financial services company that has approximately $1.9 trillion in assets, proudly serves one in three U.S. households and more than 10% of small businesses in the U.S., and is a leading middle market banking provider in the U.S. We provide a diversified set of banking, investment and mortgage products and services, as well as consumer and commercial finance, through our four reportable operating segments: Consumer Banking and Lending, Commercial Banking, Corporate and Investment Banking, and Wealth & Investment Management. Wells Fargo ranked No. 41 on Fortune's 2022 rankings of America's largest corporations. In the communities we serve, the company focuses its social impact on building a sustainable, inclusive future for all by supporting housing affordability, small business growth, financial health and a low-carbon economy.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

San Francisco, CA, US

Year founded

1852

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