Dechra · 11 hours ago

Director - Advanced Analytics and AI First

United States

Full-time

Remote

Director/Executive

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BiotechnologyPharmaceutical

Culture & Values

Hiring Manager

Jennifer Orcholski, PHR

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Responsibilities

Define the overall data analytics and AI strategy, aligning it with business objectives and identifying key areas for AI application.

Coordinate & lead a team of data scientists, data analysts, and machine learning engineers, providing technical guidance and mentorship.

Lead the execution of complex data analytics and AI projects, including data collection, cleaning, feature engineering, model development, deployment, and monitoring.

Conduct in-depth analysis of large datasets using advanced techniques like predictive modeling, time series analysis, clustering, and anomaly detection.

Design, build, and optimize machine learning models, including supervised and unsupervised learning algorithms, to address specific business challenges.

Collaborate with cross-functional teams across the organization to understand business needs, translate them into data-driven solutions, and communicate insights effectively.

Stay updated on the latest advancements in AI and data analytics technologies, evaluating new tools and frameworks to enhance capabilities.

Establish and maintain data governance practices, ensuring data quality, security, and compliance with regulations.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

PythonMachine LearningData AnalysisRSQLStatistical MethodsData MiningData GovernanceTensorFlowPyTorchAI EnthusiasmPredictive ModelingFeature EngineeringClusteringAnomaly DetectionSupervised LearningUnsupervised Learning

Required

Strong proficiency in programming languages like Python, R, and SQL, with expertise in machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).

Deep understanding of statistical methods, data mining techniques, and advanced analytics concepts.

Ability to translate complex data insights into actionable business recommendations.

Proven experience leading and mentoring data science teams, managing project timelines, and fostering collaboration.

Excellent written and verbal communication skills to effectively present technical findings to both technical and non-technical stakeholders.

Aware of latest and greatest in AI and experience in AI enabled modeling for commercial use cases.