Senior Data Scientist, Innovation Lab

Overview

The role of Senior Data Scientist at the Experian Innovation Lab involves researching and developing analytical solutions that address complex problems utilizing machine learning and predictive modeling techniques. Recognized as a global leader in data and technology, Experian serves various sectors including finance and healthcare, employing over 25,200 people in 32 countries worldwide. The company seeks innovative minds to enhance client relationships and leverage strategic datasets, ultimately fostering profit and efficiency in organizational operations.

Job Responsibilities

As a Senior Data Scientist, you will play a critical role in transforming data into actionable intelligence. Your tasks will include:

• Developing analytical solutions leveraging machine learning and deep learning to extract meaningful insights from both structured and unstructured data.
• Applying appropriate analytical techniques to maximize data value.
• Designing efficient data structures and storage solutions for optimized data retrieval and manipulation.
• Innovating with tools tailored for data analysis and information retrieval.
• Analyzing vast datasets to pinpoint patterns and insights critical for decision-making.
• Developing algorithms to solve complex challenges, ensuring their impact through continued refinement and validation.

Required Skills and Qualifications

To succeed in this role, candidates must embody a blend of education and practical experience, specifically:

• A PhD in Machine Learning, Data Science, Artificial Intelligence, Computer Science, or a related quantitative field.
• At least 2 years of experience in AI, data science, or predictive modeling.
• Proficiency in multiple programming languages, particularly Python.
• Experience with deep learning techniques (such as CNN, RNN, LSTM, and other advanced model types) and machine learning methodologies (SVM, GLM, boosting, random forests, etc.).
• Familiarity with open-source tools for deep learning and machine learning environments including PyTorch, Keras, TensorFlow, and Scikit-learn.
• Capability to manage large data sets with tools like PySpark, and proficiency in Hadoop and various NoSQL databases (e.g., MongoDB, Cassandra).
• An understanding of marketing analytics, particularly within online and mobile contexts, is crucial.

Benefits and Perks

Experian provides a comprehensive benefits package tailored to support the well-being and satisfaction of its employees, which includes:

• Competitive compensation and an appealing bonus structure.
• Core benefits including medical, dental, vision coverage, and 401K matching.
• Flexible work environments with options to work remotely, hybrid, or in-office.
• Generous time-off policies including volunteer time off, vacation, sick days, and 12 paid holidays.
• Additional support through their Employee Assistance Program and an inclusive culture recognized as one of the World’s Best Workplaces in 2025.

Company Culture

Experian fosters an inclusive, people-first culture that is driven by purpose and innovation. The organization values diversity and is committed to creating an environment where all employees can thrive. They are recognized for their outstanding workplace practices, securing top positions in multiple global rankings.

Location

The position is advertised as a remote opportunity, allowing candidates from anywhere in the USA to apply, thus widening the pool of talent for Experian’s Innovation Lab.

Conclusion

In conclusion, the role of Senior Data Scientist at Experian represents an exciting opportunity for individuals passionate about data science and its application in improving organizational decision-making and analytics. With substantial opportunities for growth, the position allows for significant contributions to innovative projects and use of cutting-edge technology in an inclusive workspace.

This job offer was originally published on jobicy.com