Data Scientist

As a 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 to the Director of Data Science in this role.

You'll have opportunity to:

• Craft 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 optimal data processing and information retrieval.
• Dissect and document vast datasets, analyzing and processing them to highlight significant patterns and insights.
• Solve complex business challenges by applying, developing, and inventing impactful algorithms.
• Ensure model excellence by validating performance scores and analyzing ROI and benefits.
• Articulate model processes and outcomes, documenting and presenting findings and performance metrics clearly.

Requirements

• Advanced degree in Machine Learning, Data Science, AI, Computer Science, or a related quantitative field.
• 1+ years of experience in AI, data science, and/or predictive modeling
• Proficiency in multiple programming languages, including but not limited to Python, R, Java, C++, and C.
• Experience in deep learning (CNN, RNN, LSTM, attention models, etc.), machine learning methodologies (SVM, GLM, boosting, random forest, etc.), graph models, and/or, reinforcement learning.
• Experience with open-source tools for deep learning and machine learning technology such as pytorch, Keras, tensorflow, scikit-learn, pandas, etc.
• Experience with large data analysis using Spark (pySpark preferred)

Preferred Qualifications:

• Experience with LLMs and the relevant tools in the Generative AI domain.
• Experience in developing, modifying and experimenting advanced language models
• Experience in developing/applying/evaluating Generative AI based tools and technology
• Experience with Hadoop and NoSQL related technologies such as Map Reduce, Hive, HBase, mongoDB, Cassandra, etc.
• Experience with modifying and applying advanced algorithms to address practical problems
• Experience with online, mobile marketing analytics
• Experience with GPU programming

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

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Additional information

Benefits/Perks:

• Great compensation package & bonus plan
• Core benefits including full medical, dental, vision, and matching 401K
• Flexible schedule, ability to work remotely, hybrid, or in-office
• Flexible time off, including volunteer time off, vacation, sick, and 12-paid holidays

Additional Information

Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people's agenda very seriously and focus on what matters: DEI, work/life balance, development, authenticity, engagement, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's people-first approach is award-winning: Great Place To Work™ in 24 countries, FORTUNE Best Companies to Work, and Glassdoor Best Places to Work (globally 4.4 Stars), to name a few. Check out Experian Life on social media 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 gender, ethnicity, religion, color, sexuality, physical ability, or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

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