Lead and mentor data scientists and analysts in developing advanced statistical models, algorithms, and data mining techniques translating business problems into advanced modeling approaches in support business initiatives
Drive the evolution of our data science practices by implementing best practices in model development, validation, and deployment across various business units
Collaborate with senior leadership and cross-functional teams to define strategic objectives, establish key performance indicators (KPIs), and prioritize projects that deliver actionable insights to the organization
Communicate complex data-driven insights in a clear and concise manner to diverse audiences, fostering understanding and buy-in from stakeholders at all levels
Manage the team including resource planning, ensuring the execution of complex modeling initiatives; partner with leaders in analytics, engineering, and business domains to integrate models into workflows
Guide the team in analyzing large complex datasets to extract actionable insights and present findings to stakeholders, using effective visualization and storytelling techniques
Review complex code and analyses to ensure accuracy, scalability, and ethical alignment
Ensure the continuous improvement of data quality and governance processes by collaborating with relevant stakeholders and partners across the organization
Ensure appropriate use of advanced statistical techniques and manage model lifecycle governance
Support planning and forecasting for initiatives, ensuring effective resource utilization and alignment with organizational goals
Coach teams on cutting-edge data science methods and foster a culture of experimentation and curiosity
Research, evaluate, and integrate new data science technologies and methodologies to enhance the team's capabilities and drive innovation

Requirements

Bachelor’s degree in related field or equivalent combination of training, education and experience
College/university degree and 7+ years work experience; 3+ years of management experience
Strong ability to create an environment that emphasizes data-driven decision-making across an organization, empowering teams to leverage analytical insights effectively
In-depth knowledge of data science tools and technologies (e.g., Python, R, TensorFlow, SQL) to guide team workflows and methodologies
Strong presentation and storytelling skills to distill complex models and predictions into understandable insights for diverse audiences, including non-technical stakeholders
Skill in establishing clear metrics and performance indicators to monitor the effectiveness of data science projects and ensure alignment with business outcomes
Strong ability to manage multiple teams, ensuring alignment and cohesion in achieving objectives
Expertise in managing projects from conception to execution, ensuring adherence to timelines and budgets
Ability to analyze diverse data and identify trends to inform decision-making and strategic planning
Excellent communication skills, able to convey complex ideas and strategies to various audiences
Flexibility to adapt strategies and processes in response to evolving business conditions or challenges
Commitment to fostering team growth through training, feedback, and recognizing achievements

Benefits

Health insurance
401(k) matching
Flexible work hours
Paid time off
Professional development opportunities
Career growth opportunities

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

statistical modelsalgorithmsdata mining techniquesdata analysisdata visualizationmodel developmentmodel validationmodel deploymentdata qualitydata governance

Soft Skills

leadershipmentoringcommunicationstorytellingcollaborationresource planningcoachingflexibilitystrategic planningdecision-making