Agility Partners · 2 days ago

Senior Data Scientist

Columbus, Ohio Metropolitan Area

Full-time

Onsite

Senior Level

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Venture Capital

Growth Opportunities

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Responsibilities

Performs advanced analytics methods to extract value from business data

Performs large-scale experimentation and build data-driven models to answer business questions

Conducts research on cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence

Determines requirements that will be used to train and evolve deep learning models and algorithms

Articulates a vision and roadmap for the exploitation of data as a valued corporate asset

Influences product teams through presentation of data-based recommendations

Evangelizes best practices to analytics and products teams

Owns the entire model development process, from identifying the business requirements, data sourcing, model fitting, presenting results, and production scoring

Qualification

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Machine LearningData AnalyticsPredictive ModelingStructured DataUnstructured DataTechnology LearningR/RStudioPythonSASSQLNoSQLCloud Machine LearningAWS SagemakerTensorFlowScikit-LearnCaretStatistical MethodsBayesian NetworksRegressionStatistical ModelingProblem-SolvingCommunicationTeamworkTime ManagementCuriosityRelationship BuildingFinancial Services

Required

Up-to-date knowledge of machine learning and data analytics tools and techniques

Strong knowledge in predictive modeling methodology

Experienced at leveraging both structured and unstructured data sources

Willingness and ability to learn new technologies on the job

Demonstrated ability to communicate complex results to technical and non-technical audiences

Demonstrated ability to work effectively in teams as well as independently across multiple tasks while meeting aggressive timelines

Strategic, intellectually curious thinker with focus on outcomes

Professional image with the ability to form relationships across functions

Strong experience with R/RStudio, Python, SAS, SQL, NoSQL

Strong experience with Cloud Machine Learning technologies (e.g., AWS Sagemaker)

Strong experience with machine learning environments (e.g., TensorFlow, scikit-learn, caret)

Strong understanding of statistical methods and skills such as Bayesian Networks Inference, linear and non-linear regression, hierarchical, mixed models/multi-level modeling