Lead Data Scientist
5 days ago
The Friedkin Group is seeking a highly skilled Lead Data Scientist to spearhead the design, development, and implementation of advanced data science initiatives across business units. This role will focus on transforming innovative ideas into real-world solutions through the application of sophisticated analytical techniques.
Key Responsibilities- Translate business needs into analytics/reporting requirements to support data-driven decisions.
- Keep abreast of the latest data science techniques and technologies, exploring and implementing innovative solutions to improve data analysis and business outcomes.
- Communicate complex data insights in a clear and effective manner to stakeholders across the organization.
- Manage use case design and build teams, providing guidance and feedback as they develop and operationalize data science models and algorithms.
- Ensure analytical insights and products are embedded into business processes.
- Guide and sign off on analytics/modelling approach, model deployment requirements, and quality assurance standards.
- Provide input to the long-term plan for The Friedkin Group's Data Science team, including key focus areas, talent acquisition, and technology platforms.
- Foster a culture of innovation and continuous improvement, leading the exploration and adoption of new data science technologies and methodologies.
- A master's degree or PhD in Computer Science, Statistics, Applied Mathematics, or a related field, with at least 5-7 years' experience in data science or a similar role.
- Proficient in at least one analytical programming language relevant for data science, such as Python or R.
- Expertise in advanced analytical techniques, including machine learning, optimization, and cluster analysis.
- Experience with cloud computing environments and data/ML platforms.
- Strong understanding of the Machine Learning lifecycle, including feature engineering, training, validation, scaling, deployment, monitoring, and feedback loop.
- Experience in Supervised and Unsupervised Machine Learning, including classification, forecasting, anomaly detection, and pattern recognition.
- Relevant certifications, such as Microsoft Certified: Azure Data Scientist Associate or AWS Certified Machine Learning.
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