Our client, a a technology company focused on data management, advanced analytics and strategic marketing in the sports and entertainment industry, is seeking a skilled Data Scientist with experience developing machine learning models to drive business decisions, deploying models into production, and maintaining the ML infrastructure. This Direct Hire position will autonomously own the design, execution, and delivery of actionable data science models to answer strategic questions in the sports industry. This person will work closely with other members of the Data Science team and will partner with internal teams including Client Services, Data Engineering, and Business Intelligence to develop a variety of predictive models, forecasting models, and marketing analyses.
DUTIES AND RESPONSIBILITIES
- Design, develop, deploy and maintain a variety of predictive models (including lead scoring, lookalike, retention, and other customized predictive models)
- Establish scalable, efficient, automated processes for data analysis, model development, model validation and production
- Partner with internal teams to ensure that Data Science output meets client requirements from a business and technical perspective
- Focus on model operations, including all tasks necessary to turn a prototype into a production model, such as 1) packaging, 2) validation, 3) deployment, and 4) monitoring
- Partner with other members of the Data Science team to develop new models and iteratively improve upon existing models to help answer clients’ business questions and inform clients’ strategic decisions
SKILLS AND QUALIFICATIONS
- Bachelor’s Degree in Statistics, Economics, Mathematics, Computer Science, or quantitative discipline (master’s degree is a plus)
- 3+ years of experience in model design or architecture (design patterns, reliability and scaling) of new and existing models
- 3+ years of experience developing and training and testing advanced analytical and ML models
- Demonstrable experience working with tools such as AWS, Git, MLFlow or equivalent and deploying models to cloud environments via containers.
- Demonstrable experience with common data science toolkits, such as Python, Sci-kit Learn, TensorFlow, PyTorch, NumPy, etc.
ProSearch was established in Portland, Maine in 1994 to provide companies with a full range of search, staffing and contracting services, specializing in the functional areas of information technology, accounting and finance, sales and marketing, customer service, human resource and office support utilizing a consultative approach. ProSearch strives to develop true partnerships with client companies and candidates to fully understand and satisfy their employment needs.
Pro Search is proud to be an affirmative action / equal opportunity employer. All qualified applicants will receive consideration without regard to race, creed, gender/sex, marital status, sexual orientation, citizenship status, color, religion, national origin, age, disability, veteran status, or any other status protected under local, state or federal laws.
