Designing and implementing state of the art Large Language Model (LLM) based agents
Using advanced Generative AI techniques deriving actionable insights from unstructured text data
Predicting client interest based on their digital footprint
Leverage statistical and machine learning techniques to extract actionable insights
Develop customer churn prediction models
Build tools to process structured and unstructured data
Engineering features and signals to train ML models

Requirements

BS required/ MS/ preferred; in Computer Science or another technology, Math, Physics, Statistics or Economics
4 years’ experience in data science methodologies as applied to live initiatives or software development
Minimum 4+ years of experience in python coding and statistical analysis
Minimum 2 years working experience in several of the following:
Prompt Engineering and working with LLMs
Machine Learning and statistical techniques
Data mining and recommendation systems
Natural Language Processing and Information Retrieval
Experience working with large volumes of data
User behavior modeling

Benefits

Generous PTO
401k match up to $7,200 per year
Opportunity to purchase company stock at a discount
Annual bonus plan based on performance
Professional growth opportunities
Collaborative and positive culture

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills

PythonMachine LearningStatistical AnalysisNatural Language ProcessingData MiningRecommendation SystemsPrompt EngineeringFeature EngineeringGenerative AICustomer Churn Prediction