Data Scientist

The Data Scientist leads data science initiatives that inform strategic decisions and operational improvements. This role manages project delivery, partners with stakeholders to frame problems, and develops scalable models using statistical and machine learning methods. The manager establishes standards for data quality, feature engineering, and model governance while mentoring analysts. Success includes actionable insights, measurable business impact, and reliable, transparent model deployment aligned with organizational priorities.

Essential Job Skills/Duties

• Define business problems and measurable success metrics.
• Lead end-to-end model development and deployment.
• Translate findings into clear, actionable recommendations.
• Establish data quality and model governance standards.
• Manage project plans, scope, and stakeholder expectations.
• Mentor team members on methods and best practices.

Required Technical Skills

• Data Mining: Applying techniques to extract patterns, relationships, and insights from structured and unstructured data.
• Data Modeling: Designing structured representations of data, including entities, relationships, and attributes, to support analysis and system design.
• Data Visualization: Presenting data through visual formats such as charts, graphs, maps, and dashboards to communicate insights and trends.
• Experimental Design: Designing and structuring experiments, including variable selection, control groups, and bias mitigation methods, to produce valid and reliable results.
• Machine Learning: Developing and applying machine learning models, including deep learning approaches, to generate predictions and classifications.
• Predictive Modeling: Building statistical and mathematical models using historical data to forecast outcomes and identify trends.
• Business Intelligence Technologies: Using tools and platforms to collect, process, analyze, and display data through reporting and dashboard solutions.
• Programming Languages: Writing and maintaining code to develop analytical models, scripts, and data-driven applications.
• Mathematical Modeling: Creating mathematical representations of real-world problems to support analysis and predictive insights.
• Generative Artificial Intelligence: Developing and applying generative models to create original outputs based on learned data patterns., Supervisory Responsibilities
• May supervise analysts or data scientists.
• Provides mentorship and performance guidance.

Travel Requirements

• Travels: Occasional travel for meetings or workshops.
• % of Time: Up to 10 percent.
• Overnight Travel: Infrequent, as business needs arise.

Do you have experience in Team development?, Do you have a Bachelor’s degree?, * Structured problem solving and critical thinking.

• Clear communication of complex concepts.
• Stakeholder management and expectation alignment.
• Prioritization and delivery under deadlines.
• Coaching and feedback to grow team capabilities.

Required Education & Experience

• Bachelor’s in a quantitative field.
• Progressive experience in data science roles.
• Experience leading cross-functional analytics initiatives.
• Track record delivering models into production.

Preferred Education & Experience

• Master’s in statistics, data science, or related field.
• Experience in enterprise-scale data platforms.
• Background in model governance and risk management.