Lead Data Scientist

2 weeks ago

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

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 requires a strong understanding of machine learning, optimization, and cluster analysis, as well as the ability to communicate complex data insights to stakeholders.

Key Responsibilities
  • Translate business needs into analytics/reporting requirements to support data-driven decisions.
  • Keep abreast of the latest data science techniques and technologies, and explore innovative solutions to improve data analysis and business outcomes.
  • Communicate complex data insights to stakeholders, including non-technical audiences, and advocate for the importance of data-driven decision making.
  • 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 TFG's Data Science team, including key focus areas, talent acquisition, and technology platforms.
  • Foster a culture of innovation and continuous improvement, and lead the exploration and adoption of new data science technologies and methodologies.
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, such as Python or R, and familiar with machine learning libraries and frameworks.
  • Expertise in advanced analytical techniques, including descriptive statistics, machine learning, optimization, and pattern recognition.
  • 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.
Soft Skills
  • Proven track record of leading cross-functional teams to deliver complex data-driven projects.
  • Excellent problem-solving and analytical skills, with the ability to translate complex technical details into understandable business insights.
  • Strong interpersonal and communication skills, capable of working effectively with and developing trust from both non-technical and technical counterparts.
What We Offer

The Friedkin Group offers a competitive compensation package, including base pay and performance-based rewards, as well as a comprehensive benefits program, including medical, dental, and vision coverage, wellness programs, retirement plans, and paid leave.

We are an equal opportunity employer and maintain a drug-free workplace by conducting pre-employment drug testing.

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