Senior Applied Scientist

We seek a Senior Applied Scientist with expertise in Machine Learning, Generative AI, Agentic Modeling, Data Science, or related areas.

The ideal candidate should be passionate about generative modeling, experimental prompt tuning, and large-scale modeling optimization.

Responsibilities:

• 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.
• Professional working experience on prompt engineering with large LLMs like GPT, Gemini, Claude etc.
• Designing experiments, understanding the resulting data, and producing actionable, trustworthy conclusions from them.
• Wrangling large amounts of data using various tools, including open-source ones.
• Taking complex problems and the associated data and giving the answers in a concise form to assist senior executives in making key business decisions.

Qualifications:

• Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience.
• OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience.
• OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience.

Preferred Qualifications:

• Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience.
• OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience.

The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year.