Applied Scientist Ii

• Building and owning production machine learning models to improve results
• Working hands on with SOTA generative models like Qwen, Llama, Mistral, GPT and others, to deliver big impact
• Finding insights and forming hypothesis on large-scale data with various machine learning, feature engineering, statistical, and data mining techniques: e.g. regression, classification, NLP, optimization
• Designing experiments, understanding the resulting data, and producing actionable, trustworthy conclusions from them
• Wrangling large amounts of data (think petabytes) using various tools, including open-source ones and your own
• Taking complex problems and the associated data and giving the answers in a concise form to assist senior executives in making key business decisions

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research)
• OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
• OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
• OR equivalent experience
• Ability to meet Microsoft, customer and/or government security screening requirements
• Microsoft Cloud Background Check

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience (e.g., statistics, predictive analytics, research)
• OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
• OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
• OR equivalent experience
• 2+ years of proficient experience with C#/C++/Java/Python/Scala or any other OOP skills with a good knowledge of Data Structures/Algorithms
• Passionate and have experience in data analytics, applied machine learning, deep learning and/or related fields

Certain roles may be eligible for benefits and other compensation