Data Science Program Lead
4 weeks ago
Job Summary
Buckman is seeking an experienced Data Science leader to develop and lead a Data Science program at our facility. The ideal candidate will work closely with stakeholders to derive industry knowledge and develop a data strategy, including data collection, project portfolio creation, and partnering with external providers. The role requires strong communication and relationship-building skills to tee up proofs of concept projects and demonstrate the value of data science in solving complex problems.
Key Responsibilities
- Develop and lead a Data Science program to drive business growth and innovation
- Work closely with stakeholders to derive industry knowledge and develop a data strategy
- Partner with external providers to augment capabilities and expertise
- Communicate and develop relationships with key stakeholders and subject matter experts
- Lead the development and deployment of IoT solutions in collaboration with a multi-disciplinary team
Requirements
- Bachelor's degree in a quantitative field such as Data Science, Statistics, Applied Mathematics, Physics, Engineering, or Computer Science
- 8+ years of relevant working experience in an analytical role involving data extraction, analysis, and visualization
- Expertise in one or more programming languages such as R, Python, MATLAB, JMP, Minitab, Java, C++, Scala
- Experience and knowledge of data mining algorithms and machine learning techniques
- Microsoft IoT/data science toolkit: Azure Machine Learning, Datalake, Datalake analytics, Workbench, IoT Hub, Stream Analytics, Cosmos DB, Time Series Insights, Power BI
Preferred Qualifications
- Master's or PhD degree in a quantitative field
- 3+ years of experience managing data science teams
- Experience in the specialty chemicals sector or similar industry
- Background in engineering, especially Chemical Engineering
- Experience starting up a data science program
- Experience working with global stakeholders
- Experience working in a start-up environment, preferably in an IoT company
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