Who Are We?

We are a biopharmaceutical company that has an aesthetics portfolio including facial injectables, body contouring, plastics, skin care, and more. Our goal is to consistently provide our customers with innovation, education, exceptional service, and a commitment to excellence, all with a personal touch. We are determined to transform into one of the largest pharmaceutical companies in the world and are building a high performing Data Science and Engineering team to get there. We have successfully launched a new and innovative technology platform that serves millions of consumers and delivered curated promotions, personalized experiences and have millions of consumers use it as part of their beauty journey.

What is the job?

As the Senior Data Scientist you will be partnering with Product, Engineering and Marketing teams to build a state of the art recommendation system and content personalization engine to maximize customer lifetime value. You will 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 and members' engagement, as well as build production ready recommendation engines to drive effective marketing and customer engagement via personalization. Essentially you will 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

What Skills Do You Need?

• Python
• Experience building, evaluating and deploying machine learning models at scale with expertise in one of the following domains: Recommendation systems, Fraud Detection, personalization, Marketing Science (Attribution, Customer LTV, Propensity, uplift models)
• Experience with techniques such as: Causal inference, A/B Testing, predictive learning, forecasting and optimization.
• Strong foundation and good understanding in Math and Computer Science
• Strong coding skills

Extra Credit:

• Background of B2C setting
• Experience with distributed systems such as Hadoop/MapReduce, Spark, streaming data processing, cloud architecture

Compensation:

• Base- $160,000 - $200,000
• Bonus
• Equity
• Benefits
• 401k match up to 6 percent, plus an additional 4%