Senior Data Scientist

  • Remote - United States

Remote

Data

Senior

Job description

Company Description

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to accomplish their financial goals and help them save time and money.

We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments.

We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.

Job Description

Job Overview

Experian Innovation Lab is a research and development unit at Experian formed with the desire to work in collaboration with Experian’s departments to enhance relationships with clients and acquire strategic datasets. Experian® is a global leader in providing information, analytical tools and marketing services to organizations and consumers to help manage the risk and reward of commercial and financial decisions. Using our comprehensive understanding of individuals, markets and economies, we help organizations develop customer relationships to make their businesses more profitable.

As a Senior Data Scientist at the Experian Innovation Lab, your role will be to research and develop analytical solutions, prototype new products, and evaluate data assets. You must bring an experience in predictive modeling, machine learning, and deep learning to this position. You will report into the Director of Data Science

Responsibilities

  • 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.
  • 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.
  • Ensure model excellence by validating performance scores and analyzing Return on investment and benefits.

Qualifications

  • Advanced degree in Machine Learning, Data Science, AI, Computer Science, or a related quantitative field.
  • 2+ years of experience in AI, data science, or predictive modeling
  • Proficiency in multiple programming languages, including Python
  • Experience in deep learning (CNN, RNN, LSTM, attention models), machine learning methodologies (SVM, GLM, boosting, random forest, etc.), 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.
  • Experience with large data analysis using Spark (pySpark preferred)
  • Experience with LLMs and the relevant tools in the Generative AI domain.
  • Experience with Hadoop and NoSQL related technologies such as Map Reduce, Hive, HBase, mongoDB, Cassandra.
  • Experience modifying and applying advanced algorithms to address practical problems
  • Experience with online, mobile marketing analytics
  • Experience with GPU programming

Additional Information

Benefits/Perks

  • Great compensation package and bonus plan
  • Core benefits including medical, dental, vision, and matching 401K
  • Flexible work environment, ability to work remote, hybrid or in-office
  • 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

Our uniqueness is that we celebrate yours. Experian’s culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, collaboration, wellness, reward & recognition, volunteering… the list goes on. Experian’s people first approach is award-winning; World’s Best Workplaces™ 2024 (Fortune Top 25), Great Place To Work™ in 24 countries, and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why.

Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay range for this position is listed above. Within this range, individual pay is determined by work location and additional factors such as job-related skills, experience, and education. This position is also eligible for a variable pay opportunity and a comprehensive benefits package.

Experian is proud to be an Equal Opportunity Employer for all groups protected under applicable federal, state and local law, including protected veterans and individuals with disabilities. Innovation is an important part of Experian’s DNA and practices, and our inclusive workforce allows everyone to succeed and bring their whole self to work. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

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