Data Scientist, Innovation Lab

Posted 2026-05-06
Remote, USA Full-time Immediate Start
    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
  • Articulate model processes and outcomes, documenting and presenting findings and performance metrics
    Requirements:
  • Master's degree or higher in Machine Learning, Data Science, AI, Computer Science, or a related quantitative field
  • 1 or more years of experience in AI, data science, or predictive modeling
  • Proficiency in at least one programming language, with coding skills in Python
  • Experience with 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 Spark (pySpark)
  • Experience with LLMs and the relevant tools in the Generative AI domain
  • Experience developing advanced language models
  • Experience applying Generative AI-based tools
  • 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
    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

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