Role Title: Data Scientist
Role Locations: San Jose, CA (Hybrid)
Duration: Contract (W2 only)
Rate: $75-80/hr
Qualification:
● Bachelor's degree in statistics/mathematics or quantitative field required (or equivalent experience equivalent)
● 10+ years of experience as a business analyst, data scientist, or related field
● Understanding of statistics, experimental design, and causal inference.
● Excellent SQL skills as well as experience with common data and statistical toolkits such as r, python, pyspark etc.
● Expertise with business intelligence and/or data visualization tools such as tableau, MicroStrategy, etc.
● Prior experience in performance measurement, creatively applying regression techniques / Modeling, optimization techniques, a/b testing, etc. for business applications
● The skills to translate analytical insights into clear recommendations and effectively deliver it to technical and non-technical partners
● An ability to spot and pursue opportunities as well as to translate high-level directions into practical projects and lead/drive their completion with minimal supervision.
● Excellent written, verbal, and social skills with the ability to communicate with all levels in the organization in a clear, timely and effective manner
Responsibilities
● Work with product partners to find practical solutions to our business problems based on data. this will require an ability to translate problems stated in business terms into quantitative approaches leading to projects starting small and aspiring to grow big if preliminary results are promising
● Set up testing (a/b test or pre-post) to measure performance in the best possible way
● Analyze large sets of data to understand the impact of product changes on the customer journey and to traffic/revenue goals.
● Drive cohort studies and drive analyses to understand customer behaviour and find opportunities for improving our product(s)
● Transform scientific/data analysis and communicate business performance in a clear and insightful way to the product teams to facilitate timely and informed decision-making
● Ensure statistical rigor is applied to all analyses and business recommendations
