Senior Data Scientist at Curology

Join us on the tech team of an extremely fast-growing, technology-driven startup that's making effective skincare accessible to everyone.

Our mission is simple: to make personalized skincare accessible and convenient for all. Awarded one of Inc's Best Workplaces 2019 and 2020 Forbes #8 Startup Company, Curology is a leader in direct-to-consumer e-commerce and has been featured in Vogue, Allure, Harper’s Bazaar, and Business Insider.

Curology is building the future of skincare through personalized prescription treatment. We believe that dermatology should be accessible to everyone—great skin shouldn't be a luxury, but a fact of life.

As a Data Scientist, you will be focusing on measuring and optimizing our Marketing investments across Curology and Agency brands. You will work with business teams, data engineering, data analysts, and product teams to turn data science ML models into product solutions.. This role will include projects ranging from MMM, Propensity models, Customer Profiling & Segmentation, Clustering, Incrementality, Attribution, A/B Testing and Design, ad hoc advanced analysis, etc.


In this role you will: 

Work with business partners and cross-functional tech partners to deeply understand data, customer lifecycle touchpoints, business opportunities, and core business KPIs to continuously build test, validate and deploy ML models and advanced analytics techniques
Support the marketing team on MMM (marketing mix modeling), incrementality testing, and customer segmentation to drive higher LTV/CAC ratios
Work closely with the marketing team on forecasting marketing $ allocation based on channel response curves and ROI
Carry out rigorous model validation and model tuning/optimization as part of the natural model life-cycle
Design, train and apply statistics, mathematical models, and machine learning techniques to create scalable solutions for predictive learning, forecasting, and optimization to drive business growth
Own the full lifecycle of model development from ideation and data exploration, algorithm design and testing, algorithm development and deployment, to algorithm monitoring and tuning in production
Innovate with new approaches, staying abreast of current research in the field and the broader machine-learning community



You will be successful if you have:

A passion for data including problem-solving, critical thinking, and diving into data in order to understand specific areas of the business better than anyone else and become an expert in their domain and sought out by business partners for that expertise.
Familiarity with the marketing business domain, particularly applications such as customer segmentation, Marketing Mix Modeling (MMM), or marketing attribution is highly desirable; bonus points for experience with ReCast
Experience supporting marketing teams and with digital media (bonus points for having worked on a consumer brand - ideally DTC & subscription!)
Expertise in statistical experimentation or A/B testing principles
Acute business judgment and the ability to see past the noise and are able to work autonomously in an unstructured environment
An exceptional communicator, attentive listener, and compelling explainer with the ability to focus on a problem, ask insightful questions, and gain expertise quickly
A curious nature and the drive to dig into data insights and proactively answer the "why" questions
You have 3+ years of experience in data science, ideally with a MS/Ph.D. In CS, Math or Statistics
You have proven expertise in SQL, Python, R or similar programming languages Java, Scala



You will love working at Curology because:

Amazing team culture and environment
Awarded Great Place To Work & Inc.’s Best Workplace
Competitive salary and equity options
Unlimited, flexible PTO for exempt employees
Comprehensive benefits: Medical, dental and vision insurance are covered 90%+ for employees; flexible spending account; 401k
Paid maternity and paternity leave
Free subscription to Curology!
Company-sponsored happy hours and outings



Curology encourages applications from people of all races, religions, national origins, genders, sexual orientations, gender identities, gender expressions and ages, as well as veterans and individuals with disabilities. Notice to Applicants under the CCPA.