myGwork - LGBTQ+ Business Community · 2 days ago

Director, Data Science and AI

New York, NY

Full-time

Onsite

Director

$149K/yr - $249K/yr

10+ years exp

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Responsibilities

Lead advanced analytical models and AI-powered tools to extract actionable insights for commercial strategies.

Influence end-to-end delivery of data science insights and recommendations.

Enhance existing brand/TA data science capabilities for greater business impact.

Collaborate within the analytics POD to develop and execute a comprehensive brand analytics plan.

Lead the design, delivery, and scaling of innovative data science solutions.

Ensure seamless integration of data science initiatives across the organization's infrastructure.

Qualification

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Applied EconometricsStatisticsData MiningMachine LearningMathematicsOperations ResearchIndustrial EngineeringData Science ModelsCommercial StrategiesSQLNoSQLHadoopSnowflakeDatabricksMachine Learning TechnologyPythonRVisualization TechniquesArtificial Intelligence ConceptsAI FrameworksTensorFlowPyTorchManagement of Secondary DataAnalysis SynthesisStrategic RecommendationsCaveats DescriptionProblem-SolvingCommunicationAdaptability

Required

Minimum of bachelor's degree with 10+ years of experience, preferably in engineering, economics, statistics, computer science, or related quantitative field.

Advanced degree with 5+ years of experience in Applied Econometrics, Statistics, Data Mining, Machine Learning, Analytics, Mathematics, Operations Research, Industrial Engineering, or related field preferred.

Extensive experience using data science models to solve problems in a business environment setting.

Experience with influencing commercial strategies and tactics, experience in pharmaceutical or healthcare industry is preferred.

Extensive expertise and experience with, both traditional SQL and modern NoSQL data stores including SQL, and large-scale distributed systems such as Hadoop and or working in Snowflake/Databricks.

Strong experience with machine learning technology, such as: big data stack, Python, R, and visualization techniques.

Deep understanding of artificial intelligence concepts, experience with AI frameworks and libraries such as TensorFlow or PyTorch is also valuable.

Extensive experience in management of secondary data with application to real-world data.

Exceptional ability to connect, integrate and synthesize analysis and data into a meaningful ‘so what' to drive concrete strategic recommendations for brand tactics.

Skilled of describing relevant caveats in data or in a model and how they relate to business question or recommendation.

Ability to be flexible, prioritize multiple demands and deal with ambiguity.