Sr Data Scientist

$100,000 - $229,300/Yr

Adobe - San Jose, CA

posted 5 months ago

Full-time - Mid Level
San Jose, CA
Publishing Industries

About the position

Adobe is on a mission to change the world through digital experiences, and we are looking for a Senior Data Scientist to join our Digital Media B2B Data Science and Analytics team in San Jose, California. This role is pivotal in understanding our B2B customers, analyzing trends in product engagement, and enhancing digital customer journeys to improve customer lifetime value (LTV). As a Senior Data Scientist, you will collaborate closely with our Digital and Product Strategy, Go-To-Market (GTM), and Sales teams to drive growth in the Adobe DMe B2B segment. Your analytical problem-solving skills and growth mindset will be essential in tackling real-life business challenges and providing actionable insights that influence critical business decisions. In this position, you will perform large-scale data analysis and develop effective machine learning models for various applications, including segmentation, classification, regression, and time series analysis. You will also enhance existing machine learning models to ensure they align with business objectives continuously. Your responsibilities will include designing and implementing reporting dashboards, tracking key performance indicators (KPIs), and providing valuable insights based on your analyses. You will be expected to suggest recommendations derived from practical insights and unlock new growth opportunities through the discovery of insights, automation of processes, and predictive modeling. Additionally, you will work closely with product and strategy teams to proactively define call-to-action programs for B2B customers. You will analyze digital customer journeys, identify optimization opportunities, and develop propensity models to prioritize actions and leads. Your role will also involve suggesting improvements in technologies to help scale the team effectively. Ideal candidates are those who are passionate about Adobe products, possess leadership qualities, and have a good sense of humor, making them great teammates.

Responsibilities

  • Perform large scale data analysis and develop effective Machine learning models for segmentation, classification, regression, time series, etc.
  • Enhance/Improve the existing M/L models to ensure continuous alignment with business objectives
  • Design and implement reporting dashboards and track Key Performance Indicators and provide useful insights
  • Suggest recommendations based on practical insights
  • Unlock new opportunities for growth by discovering insights, automate processes and predictive modeling
  • Work closely with product and strategy teams to proactively define Call to Action programs for B2B Customers
  • Build and Analyze Digital Customers Journeys starting from different surfaces for B2B customers with an intent to suggest improvements in the journey stages and insights into optimization opportunities
  • Develop propensity models to prioritize actions/leads
  • Suggest improvements in technologies to help scale the team

Requirements

  • A self learner and quick starter
  • Expertise in performing data extraction, manipulation and visualization
  • Experience with distributed computing tools (Hadoop, Hive/Spark)
  • Expert in SQL and proficient in Data Visualization tools like Power BI/Tableau
  • Experience applying statistical and machine learning techniques like hypothesis testing, classification, regression, time series forecasting and clustering to real-world data sets
  • Hands-On coding experience with at least one programming language (Python/R)
  • Experience in solving analytical problems using quantitative and qualitative approaches
  • Experience in presenting qualitative and quantitative analysis/insights
  • Experience working in a dynamic and agile environment, management of multiple projects with excellent verbal and written communication skills
  • Master's in Data Science/Analytics/Statistics or related field
  • 5+ years' experience in Data Science/Product Analytics (Team lead experience preferred, however, not required)
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