Applied Scientist

Job Title: Applied Scientist

Location: Seattle, WA 98109

Duration: 11 Months

Job Type: Contract

Work Type: Onsite

Pay rate: $70-70 Per HR on W2

Job Description:

Story Behind the Need Business Group & Key Projects:

• The client Strategic Account Services (SAS) organization strives to improve the Client customer experience by working directly with selling partners to enable more selection, reduce defects, and drive growth across their businesses.
• Our team invents and innovates across technology, processes and people to enhance the services we offer, improve Selling Partner engagement and satisfaction, and build scalable solutions.
• We are seeking a Senior Business Intelligence Engineer with a background in A/B testing, reporting automation, and forecasting, to work with our partner Data Science teams to design and run experiments.

Typical Day in the Role:

Key Responsibilities:

• Evaluation of the performance of program features and marketing content along measures of customer response, use, conversion, and retention
• Statistical testing of A/B and multivariate experiments
• Design, build and maintain metrics and reports on program health
• Respond to ad hoc requests from business leaders to investigate critical aspects of customer behavior, e.g. how many customers use a given feature or fit a given profile, deep dive into unusual patterns, and exploratory data analysis
• Employ data mining, model building, segmentation, and other analytical techniques to capture important trends in the customer base
• Participate in strategic and tactical planning discussions

Compelling Story & Candidate Value Proposition:

• Part of new process and experimental project to help grow and see impact.

Candidate Requirements:

Job Qualifications:

• 5 years of experience working with large-scale complex datasets
• Strong analytical mindset, ability to decompose business requirements into an analytical plan, and execute the plan to answer those business questions
• Strong working knowledge of SQL and Python
• Background (academic or professional) in statistics, programming, and marketing
• Bachelors Degree (masters preferred) in math/statistics, computer science or related field, or marketing is highly desirable.
• Excellent communication skills, equally adept at working with engineers as well as business leaders
• Independent work ambiguity
• A/B testing
• Understands retail businesses
• Ecommerce

Top 3 must-have hard skills:

• 7 years of experience with experiment building and running
• Experiment design and follow through
• Communication Skills