Data Scientist, Innovation Lab
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
• 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