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Live, first seen by us 76 days agoEmployment type in the employer’s posting: CONTRACTORFrom the employer’s posting
Maintain statistical forecasts across 10,000+ SKUs using exception-based review
Enter and reconcile promotional quantities and assumptions in Netstock
Track forecast accuracy and bias by SKU, brand, and channel each month
Maintain the demand-review decision log and translate S&OP decisions into forecast changes
Prepare validated demand inputs for the monthly S&OP feeder meeting
Maintain the statistical forecast across 10,000+ SKUs using exception-based review
Enter, update, and maintain promotional quantities and assumptions in Netstock
tracking WMAPE, forecast bias, and error by SKU, brand, demand type, and channel on a monthly cadence
Maintain the demand-review decision log, capturing assumptions, risks, opportunities, approved forecast changes, owners, and quantified demand impact
Prepare clean, accurate, and validated demand inputs for the monthly S&OP demand review feeder meeting
someone 1-3 years into their supply chain career
highly organized, analytically curious, and understands that reliable forecasting starts with disciplined execution and attention to detail
Experience automating analytical workflows using Python, Power Query, Power BI, or other technologies is preferred.
Our mission is to revolutionize the way we perfume by bringing the ultimate fragrance playground right to your fingertips and offering a digital subscription service that lets members choose from over 500+ designer perfumes each month.
In the employer’s words · Read in context
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Day 76
Up longer than most. Similar jobs usually come down between day 7 and day 55.
From 9,988 similar postings that came down. Coming down is not always a hire.
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- Analytical curiosity: you want to understand why the forecast was wrong, not just that it was wrong. - Experience automating analytical workflows using Python, Power Query, Power BI, or other technologies is preferred. - Experience with ERP, forecasting, or planning systems is a plus; Netstock and NetSuite experience is a meaningful differentiator.
- Comfortable working with large, complex datasets at high volume while maintaining a high level of accuracy. - Strong Excel skills, including experience with advanced formulas, pivot tables, Power Query, and Power Pivot. - Analytical curiosity: you want to understand why the forecast was wrong, not just that it was wrong.
- Netstock, NetSuite, or similar planning/ERP systems - Power BI, Power Query, or other data analytics tools Who You Are
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We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
PLEASE NOTE THIS ROLE IS FOR OVERSEAS APPLICATION, NON -U.S. ONLY. NO DOMESTIC (U.S.) APPLICATIONS WILL BE CONSIDERED.
Forecast Analyst
Scentbird operates two brands with fundamentally different demand models. Scentbird is a fragrance subscription business. Forecast inputs are driven by subscriber counts layered with behavioral assumptions including custom selection rate, featured fragrance adoption, add-on rate, and upgrade rate. Drift is a design-forward scent brand sold through wholesale, retail, and DTC channels, where POS signals and channel mix drive the forecast. Getting both right matters: every forecast decision flows directly into what we buy, when we buy it, and how much working capital we tie up across a $42M+ combined inventory position.
SCENTBIRD is seeking a Forecast Analyst to sit at the analytical engine of our demand planning function. This role works directly with David Kim (Sr. Manager, Forecasting and Demand Planning) to maintain, improve, and execute SKU-level forecasting across both brands. You will be the person who keeps the numbers clean, the models current, and the S&OP inputs ready on time, every month, without gaps.
A significant portion of the role is the day-to-day execution behind the forecast: updating data, maintaining and adjusting forecasts, reconciling promotions, validating outputs, documenting S&OP inputs, and ensuring that every agreed-upon change is accurately reflected in Netstock. The Forecast Analyst works closely with the Demand Planning and cross-functional teams to keep the data behind our forecast accurate, reliable, and up to date.
This role is focused less on developing forecasting algorithms from scratch and more on applying, evaluating, and continuously improving forecasting methods in a complex operating environment. It is an ideal opportunity for someone 1-3 years into their supply chain career who is highly organized, analytically curious, and understands that reliable forecasting starts with disciplined execution and attention to detail.
What You’ll Be Responsible For:
Qualifications
A significant part of the job is maintaining, validating, reconciling, and updating forecasts and planning inputs across a complex two-brand operating environment. You are comfortable spending time in SKU-level data, checking that promotions are loaded correctly, validating forecast outputs, and making sure every agreed-upon change makes it into the planning system. You will also be expected to understand why the forecast was wrong, not just that it was wrong, and to look for ways to improve the process over time.
The people who thrive in this role:
Success in this role means the demand planning team can trust the forecast and the data behind it. At the close of each monthly planning cycle:
By month 3, you are delivering S&OP inputs independently and on time. By month 6, forecast accuracy and bias are being tracked and reported monthly with structured root-cause commentary. By month 12, you independently own the core forecast execution and diagnostic layer, allowing senior planning leadership to spend more time on planning strategy and process development.
Growth PathThis role is the analytical foundation of our demand planning function. The intended progression is deliberate: execution mastery first, analytical ownership second, planning development third. As you develop fluency across both brands and both demand models, the development path is toward owning a brand's full demand planning cycle independently, from statistical baseline through consensus forecast. The team is growing and the scope of this role grows with it.
What You’ll Love About Us:
About Scentbird
Scentbird inspires fragrance lovers to go beyond the ordinary and sample scents that evoke passion, confidence, and the unknown. Our mission is to revolutionize the way we perfume by bringing the ultimate fragrance playground right to your fingertips and offering a digital subscription service that lets members choose from over 500+ designer perfumes each month.
About the Brands:
Scentbird is committed to bringing individuals from different backgrounds and perspectives into the Nest. We strive to uphold an inclusive environment where individuals of all different backgrounds, ages, colors, ethnicities, gender, or gender identities, genetics, physical or mental abilities, protected veteran status, race, religious or sexual orientation, thrive. We respect the laws enforced by the EEOC and are dedicated internally to going above and beyond in fostering diversity. Come as you are - we’re excited to meet you.
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European Economic Area
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