Shape and deliver on the MINT data sciences charter
Perform exploratory data analysis methods and techniques including Python string operations like Json Parsing and regex
Create and manage data pipelines using pandas
Build ML Model framework including advanced statistical models and deep learning models
Conduct model assessment and validation including ML Model training and LLM fine-tuning
Generate appropriate graphical representations of data
Present findings and influence the team using the appropriate frameworks
Requirements
Master’s Degree with > 4+ years of relevant experience OR PhD with > 2+ years of relevant experience in Computer Science, Statistics, Information Technology, Operations Research, or a related field
Hands-on experience in NLP, machine learning and deep learning techniques, open-source frameworks.
Knowledge of experimental design (A/B testing)
Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics or related field.
Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field.
Option 3: 4 years' experience in an analytics or related field.
Tech Stack
Pandas
Python
Benefits
401(k) match
stock purchase plan
paid maternity and parental leave
PTO
multiple health plans
performance-based bonus awards
Medical insurance
Vision insurance
Dental coverage
paid time off benefits including PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting