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What you'll do
Answer business questions by applying statistical techniques and/or innovative/quantitative analytical approaches to large data sets.
Influence strategic business decisions and operational decisions by conducting customer segmentation & profiling, sales funnel analysis, sales win/loss analysis, voice of customer analysis, etc.
Deliver conclusions in support of 'insight-to-Influence' strategic business decisions and operational decisions,
Apply technical expertise with quantitative analysis, experimentation, and the presentation of data to develop strategies for our business and help solve the business's biggest challenges
Focus on developing hypotheses through analytical approaches, different methodologies, frameworks, and technical approaches to test them.
Define, understand, and test opportunities to improve the products and business and influence roadmaps through insights and recommendations.
Partner with cross-functional teams to inform, influence, and execute strategy decisions
Identify and measure the success of product efforts through forecasting and monitoring of key product metrics to understand trends.
Communicate insights effectively to drive business outcomes
What you bring
Minimum of 8+ Years of experience in Data Science or related fields
Proficiency in Python, R, Pyspark, SQL data manipulation programming languages
Expertise in applying a broad variety of statistical concepts (e.g. classification, regression, A/B tests, clustering, deep learning, probability) to business problems
Experience with Databricks or equivalent “big data” platform
Experience with deploying machine learning models into production systems
Proven ability to advise, present to and serve as a thought partner to senior executives
Preferred: M.S., or PhD. in Statistics, AI, Predictive Analytics, Computer Science, Math, Machine Learning, Operations Research, Economics, or another quantitative field
We win with inclusion
Philadelphia
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