Data Science Manager, Demand Planning and Forecasting

Meta; Bellevue (WA); On-site; USD 206,000 - 281,000; Full time

Job summary

Meta is seeking a Data Science Manager to lead demand planning and forecasting efforts. This pivotal role involves driving strategic insights and operational efficiency while leading a team of demand planners and data scientists. The ideal candidate will possess expertise in econometrics and have a demonstrated history of optimizing forecasting systems to enhance precision and reliability.

Benefits

Equity

Benefits

Qualifications

• 4+ years managing demand planners and data scientists.
• Expertise in econometric modeling and data analysis.
• Experience with large data sets and high-stakes stakeholder management.

Responsibilities

• Lead and mentor a team to meet objectives.
• Develop advanced econometric models for forecasting.
• Translate data into actionable business insights.

Skills

Leadership

Econometrics

Data Analysis

Forecasting Techniques

Education

Bachelor Degree in Computer Science, Math, Physics, Engineering

Tools

Data Science Tools

Job description

Data Science Manager, Demand Planning and Forecasting

Join to apply for the Data Science Manager, Demand Planning and Forecasting role at Meta

Data Science Manager, Demand Planning and Forecasting

Join to apply for the Data Science Manager, Demand Planning and Forecasting role at Meta

This range is provided by Meta. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$206,000.00/yr - $281,000.00/yr

Join us at a pivotal moment as we experience rapid growth and transformation. We seek an experienced Data Science Manager to lead our demand planning and forecasting efforts. This role drives strategic insights and operational rigor within our fast-growing organization. The ideal candidate will have a background in managing demand planners and data scientists, particularly those with experience in econometrics. They will be responsible for setting up and optimizing demand planning and forecasting systems, leveraging their experience from large brands to enhance our Demand Planning and Forecasting.

Data Science Manager, Demand Planning and Forecasting Responsibilities:

• Leadership and Management: Lead and mentor a team of demand planners and data scientists, fostering a collaborative and innovative environment. Provide guidance and support to ensure the team meets its objectives and develops professionally.
• Innovative Modeling: Lead the development and implementation of cutting-edge econometric models and advanced analytics to accurately predict market trends and consumer demand. Drive innovation in forecasting methodologies to enhance precision and reliability.
• Strategic Insights: Translate complex data into actionable insights that drive business decisions. Collaborate with cross-functional teams to align demand forecasts with business strategies.
• System Optimization: Utilize your expertise in data science to set up and refine demand planning and forecasting systems. Establish best practices and leverage state-of-the-art technologies to optimize processes and outcomes.
• Stakeholder Collaboration: Engage with stakeholders to understand their needs and ensure that demand planning and forecasting efforts are aligned with organizational goals. Communicate complex data science concepts in a clear and impactful manner.
  
  

Minimum Qualifications:

• 4+ years of experience managing demand planners and data scientists, with a focus on econometrics and advanced modeling. Prior experience setting up demand planning and forecasting systems at large brands is essential.
• 4+ years of experience. Expertise in econometric modeling, data analysis, and forecasting techniques. Proficiency with data science tools and platforms and leading individual contributors
• Experience managing VP+ level stakeholders in high-stakes decisions related to demand forecasts and investments
  
  

Preferred Qualifications:

• Bachelor Degree in Computer Science, Math, Physics, Engineering, or related quantitative field.
• Understanding of statistical analysis
• Experience with large data sets
• Leadership Skills: Demonstrated experience leading and developing high-performing teams. Communication and interpersonal experience.
  
  

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 [e-mail].

$206,000/year to $281,000/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.

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Technology, Information and Internet

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