Lead Consultant Data Scientist

Provide strategic and technical leadership for data science projects, developing advanced analytics solutions that support business objectives. The work combines stakeholder partnership, predictive modeling, delivery into applications, and executive communication, alongside mentoring and shaping data governance practices.

• Lead the design and execution of data science projects, focusing on useful, high-impact analytics.
• Partner with stakeholders to understand business challenges and form data-driven strategies.
• Oversee data acquisition and integration, maintaining data quality and reliability.
• Apply and refine machine learning and predictive modeling approaches to address complex problems.
• Guide model deployment into business applications and establish methods for performance optimization and ongoing monitoring.
• Present findings and recommendations to executives in actionable terms.
• Mentor data science colleagues and influence governance and team practices.

• At least 6 years of predictive analytics experience using Python, R, or Scala, and at least 6 years writing complex SQL for data extraction and transformation.
• Extensive experience applying machine learning, including deep learning and natural language processing.
• Expertise with large-scale data platforms such as Hadoop, Spark, and cloud-based solutions.
• Experience leading data science teams and mentoring colleagues.
• Ability to connect business problems to data science solutions and communicate effectively with stakeholders, including executives.
• Experience leading projects in Agile Scrum environments.
• Strong strategic thinking and problem-solving skills, using data insights to inform decisions.

Familiarity with DORA and its application in analytics, plus an interest in keeping current with data science developments.

The workforce is distributed, with flexible work from home or client-site arrangements.

• medical, dental, and vision coverage options
• an employer contribution to a health savings account
• parental leave
• paid vacation and holidays
• an annual bonus opportunity
• technology equipment choices
• monthly internet reimbursement
• paid professional development
• and wellness and mental health resources