Curology
San Francisco
501-1,000 employees
At Curology, we provide prescription medications custom-formulated for each patient's skin and shipped directly to their door.
Prior Listings
- Vice President, Data & Analytics
- Senior Data Analyst (Retention)
- Data Analyst (Growth)
- Senior Data Analyst (Growth)
- Senior Data Scientist
- Data Analyst (Retention)
- Data Engineering Manager
- Analyst, Transportation
- Director, Data & Analytics
- Marketing Data Analyst Intern
- Data Engineer
- Senior / Data Analyst - Growth Product
- Business Intelligence Architect
- Growth Marketing Data Analyst
- Data Analyst - Growth Marketing
- Senior Data Engineer
- Senior Data Analyst, Medical & Pharmacy Operations
- Data Scientist
- Senior Data Scientist
- Senior Data Engineer
Senior Data Scientist
Senior Data Scientist
This job is no longer open
Join us on the tech team of an extremely fast-growing, technology-driven startup that's making effective skincare accessible to everyone.
Curology is a technology company 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. To make this possible, we're building tech to power an entire in-house medical ecosystem, covering everything from medical care to provider licensing and pharmacy fulfillment operations.
The Data Science team’s mission is to continuously unlock the algorithmic and predictive potential in Curology's data by leveraging best-in-class data science solutions. We do this by proactively digging into our first and third party data, partnering with stakeholders to uncover new opportunities or advance the status quo, and staying up to date with state of the art algorithms and methodologies.
In this specific role, you will partner with the Subscriber Growth Product Group. The main objective for this product group is to grow the Curology and Agency subscriber base by implementing product enhancements that enable more customers to realize value from our products.
In this role, you will:
- Collaborate with cross-functional stakeholders to identify how data can be used to shape product strategies, reduce uncertainty and risk, uncover new opportunities and advance the status quo across the organization.
- Perform data exploration and feature engineering using appropriate tools and software including but not limited to SQL, NoSQL, and Python.
- Differentiate among machine learning models and explain the role and importance of model validation and accuracy metrics as they relate to the business opportunity.
- Build, deploy and monitor sophisticated and state of the art machine learning algorithms at a production level scale
- Embody personal accountability and a strong sense of ownership for your work
You will be successful if you have:
Data Literacy: Ability to leverage data as a resource and its potential applications to drive and build impactful solutions
Statistical and Machine Learning Foundations: Comfort applying quantitative techniques to design and deploy models for prediction and analysis
Intellectual Curiosity: Eagerness to work and seek out new challenges
Organizational Awareness: Exemplify Curology's core values through interpersonal and self-management styles
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.
This job is no longer open