Senior Data Scientist, Innovation Lab - Remote

Experian; California (MO); Hybrid; USD 100,000 - 130,000; Full time

Benefits offered by this job

Great compensation package and bonus plan

Core benefits including medical, dental, and vision

Flexible work environment

Job summary

Experian is looking for a Senior Data Scientist to join our Innovation Lab in California. In this role, you will research and develop analytical solutions and evaluate data assets while leveraging skills in predictive modeling and machine learning.

The ideal candidate will hold a Master's Degree or higher in a quantitative field and have at least 2 years of relevant experience. Enjoy a flexible work environment with comprehensive benefits including medical and dental, as well as a competitive compensation package.

Qualifications

• Bring experience in predictive modeling, machine learning, and deep learning.
• Proficiency in multiple programming languages, including Python.
• Experience with large data analysis using PySpark.

Responsibilities

• Research and develop analytical solutions, prototype new products.
• Create advanced machine learning analytical solutions.
• Ensure model excellence by validating performance scores.

Skills

Predictive modeling

Machine learning

Deep learning

Python

Data analysis

Education

Master's Degree or higher in Machine Learning, Data Science, AI, Computer Science

Tools

PyTorch

Keras

TensorFlow

PySpark

Hadoop

Job description

Experian 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.

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 experience in predictive modeling, machine learning, and deep learning to this position. You will report into the Sr. Principal Data Scientist.

You’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.

• 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 MapReduce, 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/Perks:

• Great compensation package and bonus plan.
• Core benefits including medical, dental, vision, and matching 401(k).
• Flexible work environment, ability to work remote, hybrid or in‑office.
• Flexible time off including volunteer time off, vacation, sick days and 12 paid holidays.
• Explore all our exciting benefits here.

Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay range for this position is listed above. Within this range, individual pay is determined by work location and additional factors such as job‑related skills, experience, and education. You will also be eligible for a variable pay opportunity.

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, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.