Brooksource is hiring a Senior Data Scientist (Lead or Principal) for a hybrid role in Philadelphia, PA.

Provide scientific oversight and guidance for team data scientists, including leading ideation sessions, reviewing initial exploratory data analysis (EDA), and advising on feature selection, feature development, model building, and model selection
Champion best practices across the data science lifecycle, aligning execution with CRISP-DM and ensuring projects follow principles of the NIST AI Risk Management Framework (AI RMF)
Build, experiment with, and deploy advanced machine learning models (including classification and regression) used across the business
Drive advanced feature development approaches, including applying Generative AI to create novel features for traditional machine learning models
Partner with ML Engineering, MLOps, and Data Engineering to support model deployment and productionalization
Coordinate with infrastructure teams to ensure required data access and alignment with the technical stack
Collaborate with business stakeholders and the data science team to identify high-impact problems and translate them into well-defined data science initiatives
Stay current on developments in data science, machine learning, and generative AI, and promote continuous learning, experimentation, and innovation

Master’s degree or Ph.D. in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field
7+ years of hands-on data science experience, including a track record of building and deploying impactful ML models in production
Strong preference for experience working with complex domain data
Proven senior or lead experience, including mentoring junior data scientists and providing technical project oversight
Expert-level proficiency in Python and SQL
Deep, hands-on experience with machine learning frameworks and libraries, including Scikit-learn, TensorFlow, and PyTorch
Proven experience with cloud platforms, preferably Google Cloud Platform (GCP), including Vertex AI and BigQuery
Experience applying data science project methodologies such as CRISP-DM and AI governance frameworks such as NIST AI Risk Management Framework
Experience with MLOps principles and collaborating with engineering teams to deploy and monitor models
Some experience with or strong interest in generative AI, especially for feature development for traditional ML models
Exceptional problem-solving skills with the ability to think creatively and strategically about complex business and technical challenges
Excellent communication and interpersonal skills, with the ability to explain complex scientific concepts to technical and non-technical audiences
Collaborative working style that supports team growth and colleague development

Senior Data Scientist

Job Description