Juul Labs
Consumer Goods
AppliedScientist
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Applied Scientist at Juul Labs. Skills: Data science, Data engineering, Machine learning, Business intelligence. Transform business questions into analytical problems. Design experimental analyses”
What You'll Achieve.
Drive seven-figure decisions
Industry & Context.
Analytical problems
What They're Looking For.
Must Have
Bachelor's degree, SQL expertise, 5 years of experience
Nice to Have
Master's degree in quantitative field, Experience with commercial data, Experience with retail data, Experience with CPG data, Experience with syndicated market data, Experience with Circana data, Experience with NielsenIQ data, Experience with IRI data, Experience with POS data, Experience with scan data, Ability to view analytics engineering craft, Familiarity with modern data ecosystem
What You'll Do.
Transform business questions into analytical problems
Design experimental analyses
Run quasi-experimental analyses
Measure causal impact
Model category economics
Model price elasticity
Model regulatory tax impacts
Architect commercial datasets
Maintain commercial datasets
Build market-share models
Build demand forecasting models
Build predictive models
Build performance metrics
Classify unstructured data
How You'll Work.
Team & Collaboration
Commercial stakeholders; Finance stakeholders; Executive stakeholders
Communication Scope
Communicate findings
Full Job Description
THE COMPANY: Juul Labs's mission is to transition the world’s billion adult smokers away from combustible cigarettes, eliminate their use, and combat underage usage of our products. We have the opportunity to address one of the world’s most intractable challenges through a commitment to exceptional quality, research, design, and innovation. Backed by leading technology investors, we are committed to the same excellence when it comes to hiring great talent. We are a diverse team that is united by this common purpose and we are hiring the world’s best engineers, scientists, designers, product managers, operations experts, and customer service and business professionals. If the opportunity to build your career is compelling, read on for more details. ROLE AND RESPONSIBILITIES: The Applied Scientist will turn large and varied commercial datasets into actionable items for leadership. We model direct and the syndicated views of the market (Circana, NielsenIQ, IRI, Skupos, Numerator, and store-level scan data), we measure whether our commercial programs actually effect change, and we give the commercial, finance, and executive teams a clear read on our fast-moving, hyper-competitive category. The Applied Scientist team is a small group but creates impactful changes at Juul. The successful candidate will have the ability to support leadership on pricing, distribution, and investment decisions that are made on a regular basis. The team is small and high-leverage, and our work shapes pricing, distribution, and investment decisions on a regular basis. We are looking for someone who feels equally at home building a clean, well-tested data model over billions of rows of transaction data as they do designing the analysis that tells us whether a promotion drove incremental sales or simply rewarded customers who would have bought anyway. We believe the best data people do both, and we have built the team around that conviction. KEY RESPONSIBILITIES: Partner directly with commercial
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