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 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

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

Senior Data Scientist, Innovation Lab

Key skills