ZipRecruiter
Senior Data Scientist, Innovation Lab - Remote
ZipRecruiter, Charleston, West Virginia, United States
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 Sr. Principal Data Scientist. 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
Master's Degree or higher 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 , including Python 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. Experience with large data analysis using pySpark 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 #LI-Remote Benefits
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. Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their , , , , sexuality, physical ability or . If you have a or special need that requires accommodation, please let us know at the earliest opportunity.
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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 Sr. Principal Data Scientist. 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
Master's Degree or higher 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 , including Python 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. Experience with large data analysis using pySpark 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 #LI-Remote Benefits
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. Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their , , , , sexuality, physical ability or . If you have a or special need that requires accommodation, please let us know at the earliest opportunity.
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