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Manager Meta Data Science Jobs in Alabama (NOW HIRING)

Varsity Tutors

Data Science Tutor

Tuscaloosa, AL · Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Varsity Tutors

Data Science Tutor

Birmingham, AL · Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Varsity Tutors

Data Science Tutor

Montgomery, AL · Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Varsity Tutors

Data Science Tutor

Huntsville, AL · Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Meta

Data Center Capacity Engineer

Montgomery, AL

$111K/yr

The Capacity Team at Meta is responsible for managing the growth and lifecycle of computing ... data scientists, optimization and process engineers, capacity planners, supply chain, logistics ...

Guidehouse

Data Scientist

Huntsville, AL · On-site

Data Science Consulting Travel Required: None Clearance Required: Active Secret What You Will Do ... Manage large datasets, including performing data integration, data wrangling, and querying large ...

ERC, Inc.

Data Scientist

Redstone Arsenal, AL · On-site

Job Title Data Scientist Career Level Experienced (Non-Manager) Job Type Full-Time Location RWESS - Redstone Arsenal - Huntsville, AL 35808 US (Primary) For more than 30 years, ERC has been ...

Guidehouse

Data Scientist

Huntsville, AL · On-site

Data Science Consulting Travel Required: None Clearance Required: Active Secret What You Will Do ... Manage large datasets, including performing data integration, data wrangling, and querying large ...

PNC Bank

Data Scientist

Birmingham, AL · On-site

Preferred Skills Analytical Thinking, Competitive Advantages, Data Analytics, Data Management, Data Mining, Data Science, Machine Learning (ML), Microsoft Copilot, Microsoft Power Platform ...

Deloitte

Palantir AI and Data Science Engineer

Huntsville, AL · On-site

$112K - $135K/yr

Work you'll do As an AI and Data Science Engineer on the AI & Data team, you will be responsible ... Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment * Strong ...

Deloitte

Palantir AI and Data Science Engineer

Huntsville, AL · On-site

$112K - $135K/yr

Work you'll do As an AI and Data Science Engineer on the AI & Data team, you will be responsible ... Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment * Strong ...

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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 Alabama? The most popular types of Meta Data Science jobs in Alabama are:
What are popular job titles related to Manager Meta Data Science jobs in Alabama? For Manager Meta Data Science jobs in Alabama, the most frequently searched job titles are:
What job categories do people searching Manager Meta Data Science jobs in Alabama look for? The top searched job categories for Manager Meta Data Science jobs in Alabama are:
What cities in Alabama are hiring for Manager Meta Data Science jobs? Cities in Alabama with the most Manager Meta Data Science job openings:
Manager Meta Data Science jobs near you
Site Logistics Operations Specialist

Site Logistics Operations Specialist

Meta

Montgomery, AL

$115K/yr

Full-time

Re-posted 23 days ago

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

135th of 209 rated software companies

Job description

Meta is seeking an experienced Logistics Operations Specialist to focus on Data Center Field and Warehouse operations. This person will be responsible for supporting the Site Logistics Operations Lead to develop and implement consistent processes and oversee third party logistics teams at their assigned data center. This position requires communication skills, collaboration, prioritization skills, a proven track record exposed to process analysis and optimization, the understanding of logistics processes and systems, and experience with data analysis and logistics operations.
Site Logistics Operations Specialist Responsibilities:
  • Oversee logistics operations at assigned data center site to ensure operations are performed within the 4S standards (Safety, Security, SOX compliance, Stakeholders)
  • Proactively and continuously monitor site logistics operations to identify gaps and create remediation plans as needed
  • Plan and coordinate with third party logistics provider lead at the assigned data center to ensure site logistics requirements are met or exceeded. Work closely with third party lead to develop logistics support plans to include inventory accuracy, inventory movement and distribution, server rack movements, shipping and receiving, and any other processes as needed
  • Identify gaps in operations and present solutions to standardize operations across Meta data center sites
  • Develop, refine, and maintain documentation that captures and distributes the processes and policies for executing safe, effective, and efficient logistics operations within Meta data centers
  • Build and support cross-functional relationships with internal partners drive effective communication channels supporting operations management
  • Help produce monthly audits of compliance to ensure meeting all inventory controls
  • Support month/quarter and year end requirement to ensure appropriate financial reporting
  • Enable and support leaders to understand business requirements, implement new processes and contribute to ongoing process improvements
  • Drive inventory reconciliation process to identify risk, manage obsolescence, and correct errors impacting inventory movement
  • Identify and implement process improvement and efficiency efforts at assigned data center and warehouse locations
  • Raise the visibility of IBOS field issues that require better systemic controls to central logistics for the development of improved processes
  • Work with field leads, vendors and contract labor to develop and execute action plans in the implementation of these new processes
  • Partner with other Site Logistics Operations Specialists to share best practices, knowledge share, and drive efficiencies
  • Monitor metrics highlighting performance and trends within the data center field and warehouse operations
  • Support the execution of Sarbanes-Oxley requirements, analyze discrepancies and assist teams to develop root cause corrective actions and trend improvements
  • Help define and manage ongoing KPIs to measure process compliance and logistics operations performance
  • Partner in developing shared solutions when inconsistencies are identified
  • 10% travel required

Minimum Qualifications:
  • Bachelor’s degree in supply chain, operations management, business management and/or any other business-related field, or equivalent work experience
  • 5+ years logistics experience overseeing operations, team performance, and SLA adherence
  • Experience working independently, prioritizing, and managing one's time
  • Experience with ERP, TMS, CMS, WMS systems – Oracle, Excel or any other analytics tools
  • Communication, problem solving, and interpersonal experience

Preferred Qualifications:
  • Knowledge in Supply Chain process from Procure-to-Pay
  • Experience in a data center environment
  • Experience in business analysis/program management
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Experience in cross-functional projects across multiple teams
  • Experience handling project management responsibilities (prioritization, planning, scheduling, status reporting)
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Knowledge with Supply Chain and Inventory management models
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$115,000/year to $163,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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