Data Scientist

Overview:

The Data Scientist will lead the analysis of complex and unstructured datasets using advanced statistical, analytical, and machine learning techniques. This individual will provide in-depth data insights for complex business problems, lead cross-functional projects, develop predictive models and algorithms, and translate analytical findings into clear and actionable recommendations for technical and non-technical stakeholders.

The Lead Data

Scientist will also provide technical guidance and mentorship to other data scientists and contribute to the development of data science capabilities across the organization.

Responsibilities

• Lead high-priority and complex data science projects that have a significant organizational impact.
• Analyze structured and unstructured datasets using advanced statistical and analytical techniques.
• Develop custom data models, algorithms, and predictive solutions to address complex business problems.
• Apply machine learning and statistical models to key business metrics and operational challenges.
• Perform research, data analysis, modeling, data mining, visualization, and pattern analysis.
• Develop and test hypotheses and communicate findings in a clear, precise, and actionable manner.
• Maintain existing analytical models and evaluate model performance and goodness of fit.
• Identify opportunities to improve operational efficiency, productivity, scalability, and business outcomes through data.
• Provide technical leadership, coaching, and mentoring to other data scientists.
• Train broader teams on data science methodologies, tools, and developments.
• Lead multiple projects simultaneously while managing competing priorities and deadlines.
• Troubleshoot complex analytical and data-related issues and recommend appropriate solutions.
• Support strategic and operational decision-making through advanced data insights.

Qualifications Required:

• 7+ years of professional Data Science experience
• Strong machine learning and predictive modeling experience
• Advanced statistics, regression, probability, hypothesis testing, and A/B testing
• Advanced SQL and database skills
• Experience with data mining, visualization, pattern analysis, and forecasting
• Ability to work with large, complex, incomplete datasets
• Strong business analysis and requirements-gathering skills
• Experience leading complex projects from beginning to end
• Strong communication and data storytelling skills
• Ability to present findings and recommendations to executives, business teams, and technical stakeholders
• Experience mentoring or leading other data scientists
• Bachelor's degree in a STEM field; Master's in Data Science is preferred