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Senior Data Scientist, Marketing

RemoteUnited States only
Published
Role
Data Science
Experience
Senior
Company size
Enterprise
$266.6k–$339.3k/yr
Check eligibility

Open to US only. Set where you work from to check your eligibility.

No BS summary

Senior data scientist for marketing/customer analytics with 5 years of experience. Must have SQL, Python, machine learning, causal inference/A/B testing, statistical modeling, and big data frameworks such as Hadoop, Spark, or Flink. US-based telecommuting is allowed, but immigration sponsorship is not available.

Core skills

Machine LearningSQLPython

Required skills

A/B TestingHadoop/Spark/Flink

What you'll do

  • Lead and conduct deep-dive research to identify opportunities for revenue growth and expansion of products to support consumer and Small Businesses
  • Design, develop, and program methods, processes, and systems to consolidate and analyze unstructured, diverse data sources to generate actionable insights and solutions for client services and product enhancement
  • Develop and code software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources
  • Research and develop audience segmentation, propensity and recommender models to enable personalized experiences, improving customer engagement and increasing sales
  • Manage data governance and best practices to ensure data integrity and privacy by design
  • Identify impactful metrics to understand the performance of business initiatives and products, define key performance indicator metrics, and ingrain these metrics into the teams’ day-to-day decision-making
  • Interpret and communicate insights and findings from analysis and experiments to product, service, and business managers

What they require

  • Immigration sponsorship is not available for this position
  • Requires a Master's degree in Business Analytics and Project Management, Data Science, a related field, or a foreign degree equivalent
  • Must have 5 years of experience in job offered or related occupation
  • 5 years of experience performing data science within an eCommerce, Marketing, sales or customer analytics environment to generate actionable insights and solutions for client services and product enhancement
  • 5 years of experience designing and operationalizing scalable Machine Learning models or audience segmentation, customer churn, and product purchasing propensity
  • 5 years of experience utilizing causal inference analysis and experimentation design for A/B Testing
  • 5 years of experience utilizing statistical modeling and techniques to analyze large-scale customer, product, and transactional data to identify behavioral patterns, predict future outcomes, and support data-driven business decisions
  • Experience applying methods such as regression analysis, classification models, clustering, hypothesis testing, time-series analysis, and experimental design to measure the impact of product and marketing initiatives, estimate customer lifetime value, forecast demand, assess churn risk, and evaluate revenue growth opportunities
  • 5 years of experience applying data processing and modeling using SQL and Python to extract, transform, integrate, and analyze large and complex datasets from multiple internal and external data sources
  • 5 years of experience utilizing big data technologies such as Hadoop, Spark, Flink, or equivalent distributed computing frameworks to process, analyze, and model massive datasets that exceed the capacity of traditional systems
  • Telecommuting work arrangement permitted: position may work in various unanticipated locations throughout the U.S.
  • Position does not require domestic or international travel

Benefits

  • Total Direct Compensation philosophy that takes into consideration base salary, bonus and equity value
  • Benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health
  • Support work-life balance
  • Contribute to their community in meaningful ways
  • Opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment

Zoom helps people stay connected and builds collaboration products including Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars.

🇺🇸 United StatesCorporate & Business ServicesEnterprisezoom.com/

What people say about this company

3.8/ 5

Details

Visa sponsorshipNo
$266.6k–$339.3k/yr