The LeaseQuery Data Science and Machine Learning team builds the machine learning services that power features across LeaseQuery’s suite of lease accounting products. This is a role where you will get experience building a range of production machine learning models providing value to real users. The Data Scientist that we hire will be charged with developing new machine learning models, maintaining and improving models already in production, and other data-related tasks required to make ML happen at LeaseQuery. You will work closely with our MLEs, developers, devops, product, and UX teams, among others, to help create ML-driven product features. Additionally you will work with other teams at LeaseQuery on data-centric projects to help us succeed across the board.

We value experience, but even more important to us is the willingness and ability to continuously learn, as DS/ML is constantly evolving. We are looking for great teammates, who are nice people and happen to be extremely good at what they do.

What you will be doing

• ML model development and maintenance
• Data wrangling for ML
• Data analysis for ML and reporting
• Working with Product and other Engineering teams to integrate our ML features and services with our broader product
• Working with internal teams across the company to identify and solve problems amenable to DS/ML solutions
• Learning new DS/ML techniques and best practices, as well as subject matter related to LeaseQuery's business

What experience and skills we need you to have

• This is an entry level / early career role
• Strong foundations in ML concepts, as demonstrated by previous work in ML and/or coursework in ML
• Strong understanding and experience building ML models, as demonstrated by previous work in ML or publicly available ML projects (Github, HuggingFace, Kaggle, etc)
• Experience writing and maintaining code (Python) that is used by others, as demonstrated by previous work or publically available code
• Ability and desire to learn new techniques, topics, and technologies as demonstrated by recent coursework, projects, or work experience

Nice to haves

• Experience with the end-to-end ML process (ideation, creation, deployment, and maintenance of models) at scale
• Experience with NLP models, tools, and best practices
• Experience with document information extraction
• Knowledge of general accounting practices or work experience in accounting
• Experience with the AWS ML stack

Benefits

• Flexible PTO (including 11 holidays and your birthday off) 
• 401(k) plan with employer matching 
• Great health benefits with multiple plan option 
• Option to choose between in office, fully remote, or a hybrid work environment for all employees
• Sabbatical program (4 weeks after 5 years of service)
• Casual dress environment (when in office)
• Catered lunches every Tuesday and Thursday
• Company events each quarter
• Signing stipend for a work-from-home setup
• Free gym membership at our office
• Annual employee development program stipend of $2,000 for each employee 
• Flexible parental leave with 10 weeks paid leave for ALL new parents
• Fertility/adoption assistance 
• Annual tutoring stipend for your children
• Mentorship program available immediately 
• Regular team outings
• Advancement opportunities based on results, not politics
• Culture that emphasizes inclusiveness driven by our REDI Committee

LeaseQuery simplifies complex accounting with our innovative FinTech SaaS technology. Our products, used by more than 3000+ organizations in 87 countries, are top rated for user satisfaction and ease of use by G2, and our company has appeared on the Deloitte Technology’s Fast 500 list and Georgia’s Fast 40 list among many other recent accolades over the past several years. 

During the past decade, our CEO, George Azih, grew LeaseQuery from a one-person company to a workforce of 350+ representing one of the fastest-growing FinTech companies today. As we move into our next phase of growth, we're looking for passionate and dedicated people who want to invest their energy to align with our company's long-term goals.