Senior Data Scientist, Innovation Lab - Remote

Job 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.

Qualifications

• 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

Additional Information

• 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
• Explore all our exciting benefits here: https://yourexperianbenefits.com/cand-index.html