Lead Data Scientist

1 month ago


Houston, Texas, United States The Friedkin Group Full time
Job Summary

The Lead Data Scientist at The Friedkin Group will spearhead the design, development, and implementation of advanced data science initiatives across business units, directly aligning with strategic objectives. This role encompasses transforming innovative ideas into real-world solutions through the application of sophisticated analytical techniques such as machine learning, optimization, and cluster analysis.

Key Responsibilities
  • Translate business needs into analytics/reporting requirements to support data-driven decisions with required information and explainability.
  • Keep abreast of the latest data science techniques and technologies, exploring and implementing innovative solutions to improve data analysis, modeling capabilities, and business outcomes.
  • Communicate complex data insights in a clear and effective manner to stakeholders across the organization, including non-technical audiences, advocating for the importance and value of data-driven decision making.
  • Manage use case design and build teams on a day-to-day basis, providing guidance and feedback as they develop and operationalize data science models and algorithms to solve complex business problems.
  • Ensure analytical insights and products are embedded into business processes, ensuring use case models/analytics are supported, maintained, and improved as needed post-development and launch.
  • Guide and sign off on analytics/modelling approach, model deployment requirements, and quality assurance standards with input from use case teams and business leadership.
  • Provide input to the long-term plan for The Friedkin Group's Data Science team, including key focus areas, talent acquisition, input to technology platforms, and interaction model with the rest of the organization.
  • Foster a culture of innovation and continuous improvement, leading the exploration and adoption of new data science technologies and methodologies to contribute to the advancement of The Friedkin Group's analytics expertise.
  • Work with a wide landscape of business and technical stakeholders to proactively identify applicable new technologies and opportunities, detailing and communicating how they can deliver measurable business value.
  • Own the analytics solution portfolio, including model maintenance and improvements over time.
Requirements
  • 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, with a preference for the Python ecosystem.
  • Expertise in advanced analytical techniques, including descriptive statistics, machine learning, optimization, pattern recognition, cluster analysis, and more.
  • Experience with cloud computing environments (AWS, Azure, or GCP) and Data/ML platforms (Databricks, Spark).
  • 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, pattern recognition using various techniques.
  • Good understanding of programming best practices, building for re-use, and highly automated CI/CD pipelines.
Soft Skills
  • Proven track record of leading cross-functional teams to successfully deliver complex data-driven projects.
  • Excellent problem-solving and analytical skills, with the ability to translate complex technical details into understandable business insights.
  • Sees overall 'picture' and alternative approaches, developing a vision of what may be possible.
  • Strong interpersonal and communication skills, capable of working effectively with and developing trust from both non-technical and technical counterparts to influence key use case and enterprise decisions.

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