Technical Skills:
o ? Advanced SQL skills and proficiency in visualization tools such as Qlik, Tableau, Plotly Dash
o ? Strong analytical and modeling skills using Python (for its rich suite of statistical and modeling libraries like numpy, pandas, scikit-learn, etc.)
o ? Familiarity with Linux/OS X command line, version control software (git), and general software development
· BS or MS degree in Statistics, Mathematics, Operations Research, Computer Science, Econometrics or related eld; equivalent experience will be considered
· 7+ years of experience in data science or product analytics, preferably in fintech, with a strong foundation in predictive modeling, customer segmentation, and experimentation
· Ability to formulate data-backed strategies that will drive step-function growth for the business as well as increase customer benefit
· Ability to generate hypotheses grounded in customer behavior, industry trends, and external market factors. Experience in the fintech or SMB space is highly preferred.
· The ability to go deep on complex and vague requirements and get business moving recommendations from the data.
· Experience in designing and interpreting complex experiments beyond traditional A/B testing methods, such as inference testing
· Demonstrated experience in building reusable and scalable analytics solutions, with a focus on efficiency and avoiding duplication of work
· Outstanding communication skills with the ability to influence decision makers and build consensus with teams
· Quick learner, adaptable, with the ability to work independently or as part of a team in a fast-paced environment
· Experience using statistics and machine learning techniques to solve complex business problems within go-to-market and marketing areas, e.g., propensity for feature adoption, customer health scoring to identify customers at risk to cancel, next best action models etc.
We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.