At Arena Analytics, we believe that talent is equally distributed, but opportunity is not. Our goal is to rewire the labor market by applying predictive analytics, data science, and artificial intelligence to transform the way organizations identify, match, and hire people. Through our solutions, employers maximize retention by hiring people more likely to stay, improve performance by matching people to the right jobs, and reduce bias in the hiring process by leveraging our powerful AI model. We’re looking for passionate, collaborative, entrepreneurial people who care about building valuable solutions to fundamentally shift hiring practices for the better.
Job Responsibilities
Reporting to the Director of Data Science, your main goal is to lead by example for the DS team while improving current predictive models, pushing prototyped models into production, and creating new models from a combination of external data, client data, and Arena generated data. We seek a dynamic senior data scientist who has a penchant for systems thinking, a collaborative spirit, and an inquisitive mind. As a Senior Data Scientist, you will play an active role in creating impact for our clients through our predictive modeling and be responsible for the quality of those models.
Responsibilities include but are not limited to:
Developing innovative solutions to business, product or technical requests using appropriate machine learning and analysis techniques
Prototype solutions using appropriate machine learning or statistical techniques
Playing a pivotal role in implementing such solutions with the support of Data Engineering
Reviewing existing processes, approaches, and models related to data science; propose and initiating solutions and/or improvements
Disseminating knowledge and techniques and solidifying best practices by contributing to internal tools, libraries, and documentation
Mentoring more junior data scientists
Contributing code and documentation to the company code/knowledge base
Qualifications and Skills
Excellent Python skills (numpy, pandas, scikit-learn, etc.), familiar with open source libraries and tools for data science such as TensorFlow
Strong SQL skills and ability to implement general best practices; familiarity with MLOps a strong plus
Superior communication and data visualization skills with demonstrated ability to complete data science roadmap projects
Track record of developing and deploying machine learning models with diversity of model types
Familiarity with agile development and comfortable implementing agile methodologies in partnership with cross-functional teams
Comfortable writing reproducible, well-commented code and participating in code reviews
Experience with a few of the following: classification models, forecasting, neural networks (GANs especially), experimental design and A/B testing, or recommender systems
Experience with sophisticated statistical or econometric models
Education and Experience Requirements
Extensive experience with machine learning and practical experience in a ‘data as a product’ organization implementing predictive modeling
5+ years of practical experience as a data scientist in a product-driven organization working with data and predictive modeling OR an advanced degree in a quantitative field (such as computer science, statistics, a quantitative social, biological, or physical science) with 2+ years of work experience that involved significant project management and predictive modeling
4+ years of experience working in a position that requires critical thinking, writing for internal and external communications, and familiarity with common tools like Google Workspace (Docs, Sheets, etc.)/Microsoft Office/etc. or a Bachelor’s degree
Prior experience at a growing SaaS business is a strong plus
Work Hours and Benefits
Arena Analytics is a remote friendly company, with a main office in Baltimore, MD for those who love an office environment, and the opportunity to work remotely in multiple states. We believe in work-life balance and want our full-time exempt employees to complete their work within a 40 hour work week. We offer a competitive salary and benefits, equity grant, 401K, PTO, and annual learning stipend.
EEO Statement
Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.