Data Scientist Demand Planning

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

Not verified checked Jun 7, 2026

Salary

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401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source

Seniority

Mid From the posting source

Schedule

Shift type

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Weekend work

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Company

Equity

Offered Verified - SEC 10-K source

Application

Cover letter

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Assessment

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Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Data Scientist Demand Planning Region Europe | Country Spain As Data Scientist (Demand Planning) , you will lead forecasting and data science capabilities within Coty's demand planning organization, improving forecast accuracy while mentoring an in‑house analytics team. Your work will directly impact inventory, service levels, and planning performance across the business. THE ROLE OPTIMIZE, ENABLE, INNOVATE! As our Data Scientist (Demand Planning) , you play a critical role in strengthening demand planning through advanced forecasting models and strong team leadership. You will act as the technical reference for data science in demand planning, improving algorithms and enabling data‑driven decisions across categories. You will be reporting to the Demand Planning Lead , and you will manage: 1. Technical leadership & forecasting models: Lead improvement of forecasting algorithms and predictive models Apply machine learning and AI techniques to demand planning use cases Review model performance and identify improvement opportunities Ensure robustness and scalability of forecasting solutions 2. Team leadership & people management: Directly manage 4 in‑house Data Analysts Provide technical guidance, coaching, and development support Set clear priorities and ways of working for the analytics team Act as a technical and professional role model 3. Collaboration & system enablement: Work closely with external O9 Data Science consultants on backend changes Support implementation and adoption of O9 as the demand planning system Translate analytic

Read the full description at careers.coty.com. FewerJobs shows a preview and links to the original posting.