Senior Data Scientist, Innovation Lab - Remote

Google Chrome Microsoft Edge Apple Safari Mozilla Firefox Senior Data Scientist, Innovation Lab - RemoteFull-timeEmployee Status: RegularRole Type: HomeJob Posting - Salary Range: $153,075 - $275,535Department: AnalyticsFlexible Time Off: 20 DaysSchedule: Full TimeShift: Day Shift Compensation: USD 153075 - USD 275535 - yearlyCompany DescriptionExperian 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 DescriptionExperian 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 ScientistYou'll have opportunity to: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.QualificationsMaster'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 modelingProficiency in multiple programming languages, including PythonExperience 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 pySparkExperience 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 problemsExperience with online, mobile marketing analyticsExperience with GPU programmingAdditional InformationBenefits/Perks:Great compensation package and bonus planCore benefits including medical, dental, vision, and matching...