Data Science

This is a remote position.

Responsibilities

• The role offers the opportunity to lead strategic data science initiatives across multiple business domains including Sales and Marketing Credit Risk Residual Value Customer Management and Collections Insurance
  
• As an ideal candidate youll combine hands-on technical expertise with strong leadership abilities to guide both project outcomes and team development
  
• Spearhead the development of sophisticated predictive and prescriptive models that drive business value
  
• Establish and maintain data science best practices methodologies and quality standards
  
• Design and implement scalable data pipelines for extracting transforming and analyzing complex datasets
  
• Translate analytical insights into clear actionable recommendations for senior leadership
  
• Regularly participate in code review and hold a high bar for code quality
  
• Build and mentor a high-performing team of data scientists fostering their professional growth and technical capabilities
  
• Balance hands-on model development with strategic team leadership
  
• Drive project execution through both direct reports and cross-functional project teams
  
• Partner with business leaders to identify high-impact opportunities for data science applications
  
• Present complex analytical findings to stakeholders at all levels of the organization
  
• Develop and execute data science strategies that align with TFSs business objectives
  
• Lead the evaluation and adoption of emerging data science technologies and methodologies
  

Requirements

• Masters degree or higher in Statistics Data Science Computer Science Mathematics or related quantitative field
  
• At least 5 years of progressive experience in applied data science and analytics
  
• Demonstrated experience leading and mentoring junior data scientists and analysts
  
• Track record of successfully delivering complex data science projects in a business environment
  
• Strong proficiency in Python and its data science ecosystem
  
• Extensive experience with modern machine learning frameworks including scikit-learn PyTorch and statsmodels
  
• Deep understanding of statistical and machine learning techniques
  
• Experience with data manipulation cleaning and pipeline development
  
• Leadership & Soft Skills
  
• Proven ability to translate complex technical concepts into actionable business insights
  
• Strong problem-solving skills with a proactive approach to identifying opportunities
  
• Excellence in stakeholder management and cross-functional collaboration
  
• Outstanding written and verbal communication skills
  
• Ph.D. in Statistics Mathematics Economics Computer Science or related quantitative field
  
• Cloud Platform Expertise:
  
• Experience deploying and scaling machine learning models on cloud platforms (AWS SageMaker Azure ML)
  
• Understanding of cloud-based data processing and storage solutions
  
• Knowledge of MLOps best practices and deployment workflows
  
• Strategic Leadership:
  
• Track record of successfully influencing and driving change across multiple departments
  
• Experience managing complex cross-functional initiatives with competing priorities
  
• Ability to build consensus and align stakeholders around data science initiatives
  
• Experience modernizing legacy systems and processes
  
• Knowledge of data architecture principles and system integration
  
• Proven ability to design and implement scalable data science solutions
  

Benefits

• Professional growth and development programs to help advance your career as well as tuition reimbursement
  
• Paid holidays and paid time off
  
• Comprehensive health care and wellness plans for your entire family