Senior Data Scientist – Innovation Lab

🕒 5 days ago

🏄 California – Remote

🏄 California – Remote

💵 $153.1k - $275.5k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

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Experian

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1996

🤖 Artificial Intelligence

🤝 B2B

☁️ SaaS

Artificial Intelligence • B2B • SaaS

Experian is a global leader in digital experience, technology, and transformation. They partner with recognized brands to enhance customer understanding, innovate product strategies, and implement agile technology solutions. With a focus on delivering superior customer experiences through AI, cloud architecture, and project management, Experian helps businesses streamline their operations and achieve their objectives effectively.

📋 Description

• 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

🎯 Requirements

• 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 languages, 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

🏖️ 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