A bit about us:
Leveraging AI and machine learning, our client's software completely automates spend analysis and prioritizes risk based on your unique spend profile, allowing for focused action on your most pressing audit findings.
Why join us?
- Work from anywhere policy: remote / hybrid / in-office (work where you are most productive)
- Competitive compensation structure
- Education reimbursement program
- Strong work-life balance / positive culture
Job Details
Compensation: $150,000 - $165,000 DOE
Fully Remote
Responsibilities
Lead development projects, engage with the project stakeholders, collect high-level requirements, test different machine learning models, and design and deliver systems with machine learning at their cores
Design and maintain Machine Learning pipelines - data ingestion, feature engineering, modeling including ensemble methods, predicting, explaining, deploying, and diagnosing overfitting
Research and develop analysis, and optimization methods to improve the quality of the company's user-facing analytics
Identify and present opportunities to leverage advanced analytical methods to solve difficult non-routine business problems
Provide technical direction, mentoring, training, and guidance to team members
Skills
Applied experience with machine learning on large datasets
Strong SQL experience in processing and analyzing data
Strong quantitative analytical experience, including hands-on use of statistics, regression modeling, decision trees, random forest, support vector machine, kernel-based methods, clustering, and similar methods
Ability to analyze a wide variety of data: structured and unstructured, observational, and experimental, to drive system designs and product implementations
Knowledge of probability and statistics, including experimental design, predictive modeling, optimization, and causal inference
Understanding the different machine learning approaches and techniques and able to research and test new ones
Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data
Demonstrated leadership and self-direction
Hands-on experience with Linux distributions
Strong communication and data presentation skills
Experience in both R&D environment and software product development is a plus
Experience
Must possess a minimum of 3 years of work experience using Python
Education
Bachelor’s degree in Computer Science with Data Science Emphasis and 5 years of Data Science experience (emphasis in Machine Learning)
Fully Remote
Responsibilities
Lead development projects, engage with the project stakeholders, collect high-level requirements, test different machine learning models, and design and deliver systems with machine learning at their cores
Design and maintain Machine Learning pipelines - data ingestion, feature engineering, modeling including ensemble methods, predicting, explaining, deploying, and diagnosing overfitting
Research and develop analysis, and optimization methods to improve the quality of the company's user-facing analytics
Identify and present opportunities to leverage advanced analytical methods to solve difficult non-routine business problems
Provide technical direction, mentoring, training, and guidance to team members
Skills
Applied experience with machine learning on large datasets
Strong SQL experience in processing and analyzing data
Strong quantitative analytical experience, including hands-on use of statistics, regression modeling, decision trees, random forest, support vector machine, kernel-based methods, clustering, and similar methods
Ability to analyze a wide variety of data: structured and unstructured, observational, and experimental, to drive system designs and product implementations
Knowledge of probability and statistics, including experimental design, predictive modeling, optimization, and causal inference
Understanding the different machine learning approaches and techniques and able to research and test new ones
Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data
Demonstrated leadership and self-direction
Hands-on experience with Linux distributions
Strong communication and data presentation skills
Experience in both R&D environment and software product development is a plus
Experience
Must possess a minimum of 3 years of work experience using Python
Education
Bachelor’s degree in Computer Science with Data Science Emphasis and 5 years of Data Science experience (emphasis in Machine Learning)