Experian

Experian

Senior Data Scientist, Innovation Lab - Remote

San Diego, CA, United States · Senior

Sponsorship not specifiedDetected 98 days ago
PythonData StructuresAlgorithmsNoSQLMongoDBMachine LearningDeep LearningTensorFlowPyTorchscikit-learnData AnalysisData ScienceLLMsMarketing AnalyticsResearchCommunicationCollaborationHadoop

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odds of building a lasting career here

37Risky
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.

Lottery odds assume a STEM candidate.

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About the role

  • Experian is a global data and technology company, powering opportunities for people and businesses around the world.
  • We have an amazing team of 25,200 people in 32 countries.

Responsibilities

  • Refine data manipulation and retrieval through the design of efficient data structures and storage solutions.
  • Innovate with tools designed for data processing and information retrieval.
  • Dissect and document vast datasets, analyzing them to highlight patterns and insights.
  • Solve complex challenges by developing impactful algorithms.

Requirements

  • 2+ years of experience in AI, data science, or predictive modeling
  • Proficiency in multiple programming languages, including Python

Skills

  • Experian invests in people and new advanced technologies to unlock the power of data.

Compensation

  • The base pay range for this position is listed above.

Benefits

  • Great compensation package and bonus plan
  • Core benefits including medical, dental, vision, and matching 401K
  • Flexible time off including volunteer time off, vacation, sick and 12-paid holidays
  • Explore all our exciting benefits here: https://yourexperianbenefits.com/cand-index.html
  • This position is also eligible for a variable pay opportunity and a comprehensive benefits package.
  • Create advanced machine learning analytical solutions to extract insights from diverse structured and unstructured data sources.
  • Unearth data value by selecting and applying the right machine learning, deep learning and processing techniques.
  • Ensure model excellence by validating performance scores and analyzing Return on investment and benefits.
  • PhD degree in Machine Learning, Data Science, AI, Computer Science, or a related quantitative field.
  • Experience in deep learning (CNN, RNN, LSTM, attention models), machine learning methodologies (SVM, GLM, boosting, random forest), graph models, or reinforcement learning.
  • Experience with open-source tools for deep learning and machine learning technology such as pytorch, Keras, tensorflow, scikit-learn, pandas.
  • Flexible work environment, ability to work remote, hybrid or in-office
  • Within this range, individual pay is determined by work location and additional factors such as job-related skills, experience, and education.

Company info

  • Experian will never ask candidates to make any payment as part of an application, interview, assessment, onboarding, or recruitment process.

Equal opportunity

  • Equal Opportunity Employer for all groups protected under applicable federal, state and local law, including protected veterans and individuals with disabilities.
  • If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
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This listing is sourced directly from Experian's careers page and normalized into a canonical job model.