Lead Applied Data Scientist at Amperity

Amperity is more than just the leading customer data platform — THE PEOPLE bring energy, smarts, and experience from all different backgrounds, reflecting our commitment to diversity, equity, and inclusion. THE TECHNOLOGY is multi-patented, AI-powered customer data management software that we invented to help solve problems that have been frustrating consumer brands for years. THE OPPORTUNITY is to hitch your career to a rocket ship. We're addressing a critical market need: helping hundreds of leading brands make sense of massive amounts of transaction and engagement data so that they can finally know who their customers are and how to provide the kinds of experiences that delight consumers and move the business metrics that matter. Come help us make it happen!
Interesting Problems
The Data Science team identifies, designs and implements algorithms that lie at the heart of Amperity's products. We focus on a few areas:

Identity matching: deduplicate and group billions of records to their underlying identities daily. Our customers use our predictions to create a personalized experience for their customers at every touchpoint.
Predictive scoring: With unified and enriched customer profiles (thanks to our entity matching algorithms), we build advanced customer-centric models to predict metrics/behaviors such as customer lifetime value, customer churn, product recommendations, and event propensity.
Causal Research: Causal inference helps marketers and analysts understand the impact and causality of marketing outreach. Our product should not only let them create campaigns and run experiments, but also learn the causal impacts of previous actions and provide optimization recommendations to achieve desirable outcomes more effectively in the future.

In addition to algorithmic development, we value sharing our findings with the broader data science community. We publish our research findings in top-tier peer-reviewed publications, engage with fellow data scientists by speaking at internal and external conferences, and also hold several patents focused on our core IP.
About You
We are looking for a versatile data science leader who can go deep to obtain useful insights for our customers (and help others learn to do the same). We are a team that moves quickly and relies on each other to think and work independently, handle ambiguity, and solve hard problems. If you are passionate about developing applied data science methodologies to help the world's most loved brands use their data to better serve their customers, and you are looking for an innovative, collaborative, and fun place to work, you should apply!
Qualifications: 

Undergraduate degree in a quantitative discipline (e.g. statistics, mathematics, operations research, engineering, or computer science) with 5+ years of experience analyzing large data sets and building statistical/machine learning models in industry OR graduate degree in a quantitative discipline with 3+ years of similar experience
3+ years of Machine Learning modeling or software development experience in a product company.
Familiarity with a broad set of supervised and unsupervised ML approaches and techniques, ranging from Regression to Deep Neural Networks.
Experience applying ML-based solutions to complex problems in business, science, or engineering.
Proficiency in model development, model validation and model implementation.
Fluency in more than one programming language such as Python, Scala, Java, etc.
Experience with common data science toolkits such as Scikit-Learn, Spark ML.
Proficiency in using query languages such as SQL.
Familiarity with data structures, algorithms, distributed computing (e.g. Spark, Map-Reduce, Presto), and cloud storage systems
Extensive knowledge in at least one of these areas: data integration and cleaning, entity matching, probabilistic databases, predictive analytics for marketing, or causal inference.
Experience building scalable machine learning pipelines
Experience with fast prototyping - quickly translating business problems into data modeling problems, collecting and analyzing datasets, and building ML prototypes before implementing in production.
Ability to synthesize complex ideas for both technical and non-technical audiences. Good communication skills in conducting code reviews, writing technical documentation, and giving internal and external presentations.

Remote Available
Amperity has headquarters in Seattle and NYC. We are also currently hiring in CA, CO, CT, FL, GA, IL, IN, MA, MD, MN, NC, NJ, NY, OH, OR, PA, TX, UT (Subject to change).
Compensation
Base Salary: $180,000 - $240,000; This range reflects the good-faith hiring base salary range for this position. However, individual salaries are determined by a variety of factors including, but not limited to: business considerations, local market conditions, internal equity, as well as candidate qualifications such as skills, experience, and education/training.
Stock Options: The opportunity for ownership is an exciting part of Amperity's total compensation package. Every employee at Amperity receives a new-hire equity grant, commensurate with the scope of their position.
Benefits
We offer all the benefits you'd expect from a great place to work: 100% employee healthcare coverage, transportation subsidies, a comfortable work environment with plenty of snacks, and other employee experience perks like events, both in-person and remote. We also offer self-managed PTO and the flexibility to do your best work in the way that works for you. We provide an inclusive environment where you'll be challenged to find and unlock your full potential, surrounded by a team of world-class people driving for excellence.
Amperity is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, sex (including pregnancy, childbirth, and reproductive health choices), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as someone with a disability, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local law. 
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