Data Science Manager, Forecasting & Optimization
New Balance · Boston, MA · 3 wk ago
$139k–$173k/yrFull-time
We need to output HTML fragment with sections: headings for sections like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Use
for sections like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Use - for any list of duties/requirements/benefits, and
for prose. Do NOT repeat job title as heading. Do NOT put Job ID / requisition numbers as headings — fold minor metadata into short
or drop it. Preserve ALL substantive information; do NOT invent or summarize away detail. Remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions. IMPORTANT: include a section ONLY when the posting has real, specific content for it — never emit a heading followed by filler/placeholder text (e.g. "commensurate with experience", "not specified", "N/A", "varies", "TBD") and never create Pay/Schedule/Benefits sections unless the posting actually states them. Prefer a few substantive sections over many thin ones.
We need to parse the posting.
Content:
- Who We Are: description of New Balance (company description). Could be "About the company" but not required. The instruction says use headings for sections like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. So we need to map content to these headings.
We have:
- JOB MISSION: description of role: Data Science Manager, Forecasting & Optimization. This could be "About the role". Provide prose.
- MAJOR ACCOUNTABILITIES: broken into three core areas: Technical Excellence, Business Partnership & Product Delivery, Team & Operational Leadership. Each has bullet-like sentences. Could be "Responsibilities". Use
- for list.
- REQUIREMENTS FOR SUCCESS: list of requirements: experience, leading projects, leading data scientists, expertise, Python/SQL, stakeholder partnering, model evaluation, education, preferred experience, cloud platforms, production data science products, Agile, location, pay range, benefits, flexible work schedule. This could be "Requirements" and "Qualifications" and "Skills". We need to decide.
We have separate sections: Requirements, Qualifications, Skills. The instruction says we can use those headings if there is real specific content. We need to avoid filler.
We have:
- Requirements: 6+ years experience, 2+ years leading projects, 2+ years leading data scientists, deep expertise with forecasting models, strong Python and SQL, ability to partner with senior stakeholders, strong understanding of model evaluation, BA/BS, Master's/PhD preferred, practical data science experience in retail/consumer products/supply chain preferred, experience with cloud platforms preferred, experience building production data science products, familiarity with Agile, etc.
- Qualifications: maybe education? But we could combine.
- Skills: maybe technical skills: Python, SQL, forecasting models, optimization, etc.
We need to avoid duplication. We can create sections: About the role (JOB MISSION), Responsibilities (MAJOR ACCOUNTABILITIES), Requirements (experience, leadership, etc.), Qualifications (education, preferred experience), Skills (technical skills: Python, SQL, forecasting, optimization, cloud platforms, Agile, etc.), Benefits (details about benefits), Pay (pay range), Schedule (flexible work schedule). Ensure we only include sections if there is real specific content.
We have Pay Range: "$138,500.00 - $173,000.00 - $207,500.00 Annual (actual base pay varying based upon, but not limited to, relevant experience, time in role, internal equity, geographic location, and more.)". That's specific, so include Pay section.
Benefits: description of benefits: medical insurance options, dental, vision, life insurance, 401K, online learning, tuition reimbursement, $100 monthly student loan support, mentorship programs, yearly $1,000 lifestyle reimbursement, 4 weeks vacation, 12 holidays, generous parental leave, temporary associates benefits, part-time associates benefits. That's specific, include Benefits.
Schedule: "Flexible Work Schedule ... New Balance Associates currently work in office three days per week (Tuesday, Wednesday, and Thursday). ... Work from Anywhere (WFA) for four weeks per calendar year." That's specific, include Schedule.
Now we need to remove boilerplate: Equal Opportunity Employer paragraph, etc. Also remove duplicated lines, application instructions (none). Also remove "Who We Are:" maybe we can incorporate into About the role? But "Who We Are:" is company description, not role. Could be omitted? The instruction says we can include About the role heading; we could put company description under About the role? Might be okay. But better to put company description under a heading like "About the company"? Not in allowed headings. However we could include it as a
before headings, as it's not a heading. The instruction: "use
for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule)." It doesn't forbid other headings, but says use those for sections. It doesn't say we cannot have other headings, but we should follow the pattern. Probably we can include a brief intro paragraph before headings.
We must not repeat job title as heading. So we won't add a heading for "Data Science Manager, Forecasting & Optimization". We'll just have About the role with prose describing mission.
Now we need to ensure we preserve all substantive information. Let's extract.
Who We Are: Since 1906, New Balance has empowered people through sport and craftsmanship to create positive change in communities around the world. We innovate fearlessly, guided by our core values and driven by the belief that conventions were meant to be challenged. We foster a culture in which every associate feels welcomed and respected, where leaders and creatives are inspired to shape the world of tomorrow by taking bold action today.
JOB MISSION: The Data Science Team at New Balance is the center of excellence for applied data science across our global commercial businesses, creating value through actionable insights, scalable models, and AI-enabled decision support. As the Data Science Manager, Forecasting & Optimization, you will lead New Balance’s planning-focused data science group and own high-value forecasting and optimization work that improves global planning, inventory, and supply chain decisions. This is a hands-on player/coach role where you will write production-quality code, develop and deploy models, lead and develop data scientists and contractors, partner with stakeholders, and ensure solutions are adopted, monitored, and improved.
MAJOR ACCOUNTABILITIES: A successful candidate in this role will focus on three core areas: Technical Excellence Develop, deploy, and improve forecasting and optimization models for demand planning, allocation, assortment, inventory, and related planning decisions. Write, review, and maintain high-quality Python and SQL code that can scale from experimentation into reliable production workflows. Connect model performance metrics such as accuracy, bias, stability, and service levels to business outcomes including sales, inventory productivity, margin, and efficiency. Business Partnership & Product Delivery Partner with stakeholders to define priorities, align roadmaps, and translate business needs into scalable data science products. Document model logic, business rules, assumptions, and operating practices so solutions can scale and be supported over time. Work with ML engineering and MLOps partners to make models production-ready, monitored, explainable, and maintainable. Team & Operational Leadership Manage and coach a small team (1-3) of data scientists while staying hands-on in model development, code reviews, technical design, and production delivery. Create repeatable standards for experimentation, validation, governance, documentation, stakeholder communication, and adoption measurement. Build a culture of technical excellence, pragmatic problem-solving, collaboration and stakeholder empathy, and continuous learning.
REQUIREMENTS FOR SUCCESS: 6+ years of experience in data science, forecasting, optimization, operations research, or a related field, including hands-on model development and deployment. 2+ years leading projects and/or guiding cross-functional delivery while remaining hands-on with technical work. 2+ years leading data scientistsDeep expertise with forecasting models and optimization techniques across areas such as demand planning, inventory optimization, simulation, or decision science, ideally in a retail environment. Strong Python and SQL skills with experience building scalable, production-quality modeling workflows using large datasets. Ability to partner with senior stakeholders, define roadmaps, influence priorities, communicate clearly, and drive adoption of analytical or AI-enabled solutions. Strong understanding of model evaluation, monitoring, retraining, governance, documentation, and lifecycle management. BA/BS in Data Science, Statistics, Computer Science, Mathematics, Economics, Engineering, Operations Research, or a related technical field; Master's or PhD preferred. Practical data science experience in retail, consumer products, or supply chain is preferred. Experience with Databricks, Snowflake, Azure, AWS, GCP or similar cloud platforms is preferred. Experience building production data science products, APIs, dashboards, optimization engines, or decision-support tools. Familiarity with Agile delivery, product ownership, roadmap planning, and measurable adoption strategies. Boston, MA Headquarters - (NB) Only Pay Range: $138,500.00 - $173,000.00 - $207,500.00 Annual (actual base pay varying based upon, but not limited to, relevant experience, time in role, internal equity, geographic location, and more.) Regular Associate Benefits Our products are only as good as the people we hire, so we make sure to hire the best and treat them accordingly. New Balance offers a comprehensive traditional benefits package including three options for medical insurance as well as dental, vision, life insurance and 401K. We also proudly offer a slate of more nontraditional perks – opportunities like online learning and development courses, tuition reimbursement, $100 monthly student loan support and various mentorship programs – that encourage our associates to grow personally as they develop professionally. You’ll also enjoy a yearly $1,000 lifestyle reimbursement, 4 weeks of vacations, 12 holidays and generous parental leave, because work-life balance is more than just a buzzword – it’s part of our culture. Temporary associates are provided three options for medical insurance as well as dental and vision insurance and an associate discount. Part time associates are provided 401k, short term disability, a yearly $300 lifestyle reimbursement and an associate discount. Flexible Work Schedule For decades we have fostered a unique culture founded on our values with a particular focus on in-person teamwork and collaboration. Our North American hybrid model encourages rich in-person experiences, showcasing our commitment to teamwork and connection, while maintaining flexibility for associates. New Balance Associates currently work in office three days per week (Tuesday, Wednesday, and Thursday). Our offices are fully open, and amenities are available across our North American office locations. To continue our focus on hybrid work we have introduced “Work from Anywhere” (WFA) for four weeks per calendar year. This model will help us enhance our culture while continuing to maintain elements of flexibility.
We need to strip out the EEO paragraph at end.
Now we need to produce HTML.
We'll have:
Who We Are: Since 1906, New Balance has empowered people through sport and craftsmanship to create positive change in communities around the world. We innovate fearlessly, guided by our core values and driven by the belief that conventions were meant to be challenged. We foster a culture in which every associate feels welcomed and respected, where leaders and creatives are inspired to shape the world of tomorrow by taking bold action today.
Then About the role
with the JOB MISSION paragraph.
Then Responsibilities
with - items for each of the three core areas. We need to break down each area into bullet points maybe each sentence as separate
- . But we can group sentences per area as one
- each. However we need to preserve all substantive information; we can split into multiple
- to keep details.
Let's list bullet points:
for prose. Do NOT repeat job title as heading. Do NOT put Job ID / requisition numbers as headings — fold minor metadata into short
or drop it. Preserve ALL substantive information; do NOT invent or summarize away detail. Remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions. IMPORTANT: include a section ONLY when the posting has real, specific content for it — never emit a heading followed by filler/placeholder text (e.g. "commensurate with experience", "not specified", "N/A", "varies", "TBD") and never create Pay/Schedule/Benefits sections unless the posting actually states them. Prefer a few substantive sections over many thin ones. We need to parse the posting. Content: - Who We Are: description of New Balance (company description). Could be "About the company" but not required. The instruction says use headings for sections like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. So we need to map content to these headings. We have: - JOB MISSION: description of role: Data Science Manager, Forecasting & Optimization. This could be "About the role". Provide prose. - MAJOR ACCOUNTABILITIES: broken into three core areas: Technical Excellence, Business Partnership & Product Delivery, Team & Operational Leadership. Each has bullet-like sentences. Could be "Responsibilities". Use
- for list.
- REQUIREMENTS FOR SUCCESS: list of requirements: experience, leading projects, leading data scientists, expertise, Python/SQL, stakeholder partnering, model evaluation, education, preferred experience, cloud platforms, production data science products, Agile, location, pay range, benefits, flexible work schedule. This could be "Requirements" and "Qualifications" and "Skills". We need to decide.
We have separate sections: Requirements, Qualifications, Skills. The instruction says we can use those headings if there is real specific content. We need to avoid filler.
We have:
- Requirements: 6+ years experience, 2+ years leading projects, 2+ years leading data scientists, deep expertise with forecasting models, strong Python and SQL, ability to partner with senior stakeholders, strong understanding of model evaluation, BA/BS, Master's/PhD preferred, practical data science experience in retail/consumer products/supply chain preferred, experience with cloud platforms preferred, experience building production data science products, familiarity with Agile, etc.
- Qualifications: maybe education? But we could combine.
- Skills: maybe technical skills: Python, SQL, forecasting models, optimization, etc.
We need to avoid duplication. We can create sections: About the role (JOB MISSION), Responsibilities (MAJOR ACCOUNTABILITIES), Requirements (experience, leadership, etc.), Qualifications (education, preferred experience), Skills (technical skills: Python, SQL, forecasting, optimization, cloud platforms, Agile, etc.), Benefits (details about benefits), Pay (pay range), Schedule (flexible work schedule). Ensure we only include sections if there is real specific content.
We have Pay Range: "$138,500.00 - $173,000.00 - $207,500.00 Annual (actual base pay varying based upon, but not limited to, relevant experience, time in role, internal equity, geographic location, and more.)". That's specific, so include Pay section.
Benefits: description of benefits: medical insurance options, dental, vision, life insurance, 401K, online learning, tuition reimbursement, $100 monthly student loan support, mentorship programs, yearly $1,000 lifestyle reimbursement, 4 weeks vacation, 12 holidays, generous parental leave, temporary associates benefits, part-time associates benefits. That's specific, include Benefits.
Schedule: "Flexible Work Schedule ... New Balance Associates currently work in office three days per week (Tuesday, Wednesday, and Thursday). ... Work from Anywhere (WFA) for four weeks per calendar year." That's specific, include Schedule.
Now we need to remove boilerplate: Equal Opportunity Employer paragraph, etc. Also remove duplicated lines, application instructions (none). Also remove "Who We Are:" maybe we can incorporate into About the role? But "Who We Are:" is company description, not role. Could be omitted? The instruction says we can include About the role heading; we could put company description under About the role? Might be okay. But better to put company description under a heading like "About the company"? Not in allowed headings. However we could include it as a
before headings, as it's not a heading. The instruction: "use
for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule)." It doesn't forbid other headings, but says use those for sections. It doesn't say we cannot have other headings, but we should follow the pattern. Probably we can include a brief intro paragraph before headings. We must not repeat job title as heading. So we won't add a heading for "Data Science Manager, Forecasting & Optimization". We'll just have About the role with prose describing mission. Now we need to ensure we preserve all substantive information. Let's extract. Who We Are: Since 1906, New Balance has empowered people through sport and craftsmanship to create positive change in communities around the world. We innovate fearlessly, guided by our core values and driven by the belief that conventions were meant to be challenged. We foster a culture in which every associate feels welcomed and respected, where leaders and creatives are inspired to shape the world of tomorrow by taking bold action today. JOB MISSION: The Data Science Team at New Balance is the center of excellence for applied data science across our global commercial businesses, creating value through actionable insights, scalable models, and AI-enabled decision support. As the Data Science Manager, Forecasting & Optimization, you will lead New Balance’s planning-focused data science group and own high-value forecasting and optimization work that improves global planning, inventory, and supply chain decisions. This is a hands-on player/coach role where you will write production-quality code, develop and deploy models, lead and develop data scientists and contractors, partner with stakeholders, and ensure solutions are adopted, monitored, and improved. MAJOR ACCOUNTABILITIES: A successful candidate in this role will focus on three core areas: Technical Excellence Develop, deploy, and improve forecasting and optimization models for demand planning, allocation, assortment, inventory, and related planning decisions. Write, review, and maintain high-quality Python and SQL code that can scale from experimentation into reliable production workflows. Connect model performance metrics such as accuracy, bias, stability, and service levels to business outcomes including sales, inventory productivity, margin, and efficiency. Business Partnership & Product Delivery Partner with stakeholders to define priorities, align roadmaps, and translate business needs into scalable data science products. Document model logic, business rules, assumptions, and operating practices so solutions can scale and be supported over time. Work with ML engineering and MLOps partners to make models production-ready, monitored, explainable, and maintainable. Team & Operational Leadership Manage and coach a small team (1-3) of data scientists while staying hands-on in model development, code reviews, technical design, and production delivery. Create repeatable standards for experimentation, validation, governance, documentation, stakeholder communication, and adoption measurement. Build a culture of technical excellence, pragmatic problem-solving, collaboration and stakeholder empathy, and continuous learning. REQUIREMENTS FOR SUCCESS: 6+ years of experience in data science, forecasting, optimization, operations research, or a related field, including hands-on model development and deployment. 2+ years leading projects and/or guiding cross-functional delivery while remaining hands-on with technical work. 2+ years leading data scientistsDeep expertise with forecasting models and optimization techniques across areas such as demand planning, inventory optimization, simulation, or decision science, ideally in a retail environment. Strong Python and SQL skills with experience building scalable, production-quality modeling workflows using large datasets. Ability to partner with senior stakeholders, define roadmaps, influence priorities, communicate clearly, and drive adoption of analytical or AI-enabled solutions. Strong understanding of model evaluation, monitoring, retraining, governance, documentation, and lifecycle management. BA/BS in Data Science, Statistics, Computer Science, Mathematics, Economics, Engineering, Operations Research, or a related technical field; Master's or PhD preferred. Practical data science experience in retail, consumer products, or supply chain is preferred. Experience with Databricks, Snowflake, Azure, AWS, GCP or similar cloud platforms is preferred. Experience building production data science products, APIs, dashboards, optimization engines, or decision-support tools. Familiarity with Agile delivery, product ownership, roadmap planning, and measurable adoption strategies. Boston, MA Headquarters - (NB) Only Pay Range: $138,500.00 - $173,000.00 - $207,500.00 Annual (actual base pay varying based upon, but not limited to, relevant experience, time in role, internal equity, geographic location, and more.) Regular Associate Benefits Our products are only as good as the people we hire, so we make sure to hire the best and treat them accordingly. New Balance offers a comprehensive traditional benefits package including three options for medical insurance as well as dental, vision, life insurance and 401K. We also proudly offer a slate of more nontraditional perks – opportunities like online learning and development courses, tuition reimbursement, $100 monthly student loan support and various mentorship programs – that encourage our associates to grow personally as they develop professionally. You’ll also enjoy a yearly $1,000 lifestyle reimbursement, 4 weeks of vacations, 12 holidays and generous parental leave, because work-life balance is more than just a buzzword – it’s part of our culture. Temporary associates are provided three options for medical insurance as well as dental and vision insurance and an associate discount. Part time associates are provided 401k, short term disability, a yearly $300 lifestyle reimbursement and an associate discount. Flexible Work Schedule For decades we have fostered a unique culture founded on our values with a particular focus on in-person teamwork and collaboration. Our North American hybrid model encourages rich in-person experiences, showcasing our commitment to teamwork and connection, while maintaining flexibility for associates. New Balance Associates currently work in office three days per week (Tuesday, Wednesday, and Thursday). Our offices are fully open, and amenities are available across our North American office locations. To continue our focus on hybrid work we have introduced “Work from Anywhere” (WFA) for four weeks per calendar year. This model will help us enhance our culture while continuing to maintain elements of flexibility. We need to strip out the EEO paragraph at end. Now we need to produce HTML. We'll have:
Who We Are: Since 1906, New Balance has empowered people through sport and craftsmanship to create positive change in communities around the world. We innovate fearlessly, guided by our core values and driven by the belief that conventions were meant to be challenged. We foster a culture in which every associate feels welcomed and respected, where leaders and creatives are inspired to shape the world of tomorrow by taking bold action today.
ThenAbout the role
with the JOB MISSION paragraph. ThenResponsibilities
with- items for each of the three core areas. We need to break down each area into bullet points maybe each sentence as separate
- . But we can group sentences per area as one
- each. However we need to preserve all substantive information; we can split into multiple
- to keep details. Let's list bullet points: