Lead Data Scientist

Living Our Values
All associates are guided by Our Values. Our Values are the unifying foundation of our companies. We strive to ensure that every decision we make and every action we take demonstrates Our Values. We believe that putting Our Values into practice creates lasting benefits for all of our associates, shareholders, and the communities in which we live.

Why Join Us

• Career Growth: Advance your career with opportunities for leadership and personal development.
• Culture of Excellence: Be part of a supportive team that values your input and encourages innovation.
• Competitive Benefits: Enjoy a comprehensive benefits package that looks after both your professional and personal needs.

Total Rewards
Our Total Rewards package underscores our commitment to recognizing your contributions. We offer a competitive and fair compensation structure that includes base pay and performance-based rewards. Compensation is based on skill set, experience, qualifications, and job-related requirements. Our comprehensive benefits package includes medical, dental, and vision insurance, wellness programs, retirement plans, and generous paid leave. Discover more about what we offer by visiting our Benefits page.

A Day In The Life
The Lead Data Scientist at The Friedkin Group (TFG) will spearhead the design, development, implementation and maintenance and improvement 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. The incumbent will lead and help to develop a newly formed data-scientists taskforce in delivering impactful analytical solutions, ensuring these innovations are seamlessly embedded into business operations to drive decision-making, enhance operational efficiency, and foster a culture of continuous improvement and innovation. As part of this role the applicant will play a significant part in setting the AI & ML agenda for The Friedkin Group, including working with business units to define potential opportunities, and defining standards and best practice for AI & ML at TFG.

As a Lead Data Scientist you will:

• Translates business needs into analytics/reporting requirements to support data-driven decisions with required information & explain ability.
• Keep abreast of the latest data science techniques and technologies. Explore and implement 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. Advocate for the importance and value of data-driven decision making.
• Manage use case design and build teams on 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.
• Ensure 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 TFGs 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 and lead the exploration and adoption of new data science technologies and methodologies to contribute to the advancement of TFG's analytics expertise.
• Work with wide landscape of business and technical stakeholders to proactively identify applicable new technologies and opportunities and detail and communicate how they can deliver measurable business value.
• Own the analytics solution portfolio, including model maintenance and improvements over time.
• Directly supervises one or more employees.
• Carries out responsibilities in accordance with the organization's policies and applicable laws.
• Demonstrated ability to lead and manage data science projects, including, managing workflow and priorities, to ensure timely delivery of projects with high-quality outcomes.
• Proven track record of recruiting, training, and retaining a skilled data science team, identifying talent gaps, and addressing them.

What We Need From You

• Master's Degree or PhD Computer Science, Statistics, Applied Mathematics, or a related field
• 5-7 years in Data science or a similar role
• Proficient in at least one analytical programming language relevant for data science. Python ecosystem preferred, R will be acceptable, machine learning libraries & frameworks (e.g. TensorFlow, PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI)
• Expertise in advanced analytical techniques (e.g., descriptive statistics, machine learning, optimization, pattern recognition, cluster analysis, etc.)
• Experience with cloud computing environments (AWS, Azure, or GCP) and Data/ML platforms (Databricks, Spark)
• Strong understanding of the Machine Learning lifecycle - 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 variety of techniques such as decision trees, regressions, ensemble methods and boosting algorithms
• Good understanding of programming best practices, building for re-use and highly automated CI/CD pipelines
• 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 and develop 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 & enterprise decisions
• Relevant certifications such as Microsoft Certified: Azure Data Scientist Associate or AWS Certified Machine Learning Preferred

Travel Requirements
Minimal travel is required for this position (up to 20% of the time and on a domestic basis)

Join Us
The Friedkin Group and its affiliates are committed to ensuring equal employment opportunities, including providing reasonable accommodations to individuals with disabilities. If you have a disability and would like to request an accommodation, please contact us at TalentAcquisition@friedkin.com. We celebrate diversity and are committed to creating an inclusive environment for all associates.

We are seeking candidates legally authorized to work in the United States, without Sponsorship.

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