Experianposted 6 days ago
Full-time - Senior
CA
10,001+ employees

About the position

Experian Consumer Services is looking for a Sr. Data Scientist to help create personalized financial solutions for our customers. Your goal will be to extract insights from data and deliver ML projects from beginning to end, including understanding user needs, analyzing data, training/validating ML models, and deploying ML models to applications.

Responsibilities

  • Work with team members to understand desired outcomes and project context.
  • Analyze data to get a full understanding of the information captured data.
  • Discover new data sources and create new input features for analysis.
  • Develop machine learning algorithms with huge data sets to solve challenging business questions.
  • Communicate analytical results to team members.

Requirements

  • Advanced degree in a quantitative field (Machine Learning, Data science, Computer Science) or equivalent professional experience.
  • 5+ years of work experience in a quantitative field such as data science or statistical modeling using cloud computing services such as AWS, Google Cloud Platform, Snowflake, Databricks.
  • Industry experience with statistical modeling techniques such as regression, support vector machines, gradient-boosted trees, and neural nets, including how to optimize models using performance tuning techniques.
  • Experience with deep learning algorithms such as convolutional neural networks and recurrent neural networks.
  • Direct experience with analytical tools and programming languages such as Python or R and SQL.
  • Adopt new languages/tools, write efficient code, and quickly debug.
  • Working knowledge of Tableau.
  • Experience showing analytical results visually in a compelling manner and knowing what type of analysis fits the problem.
  • The ability to extract user requirements from context and conversations.
  • The ability to distill technical knowledge to communicate with a broad audience.
  • The ability to collaborate with others is necessary.
  • Proactive thinking to identify inefficiencies/roadblocks and brainstorm solutions.
  • Visionary, identifying opportunities to expand the business either from a product or operational perspective.

Benefits

  • Great compensation package and bonus plan
  • Core benefits including full medical, dental, vision, and matching 401K
  • Flexible work environment, ability to work remotely, hybrid or in-office
  • Flexible time off, including volunteer time off, vacation, sick, and 12-paid holidays
Hard Skills
Databricks
1
Google Services
1
Python
1
R
1
SQL
1
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