Lead Consultant Data Scientist

excella; United States; Remote; USD 150,000 - 210,000; Full time

Benefits offered by this job

Health coverage

HSA contribution

Parental leave

Paid vacation

Annual bonus

Tech equipment

Internet allowance

Professional development

Wellness resources

Job summary

Excella is seeking an experienced senior data science leader to drive strategic analytics initiatives across business units. You will mentor teams, guide ML-driven projects, and ensure reliable data governance while communicating results to executives.

You will collaborate with stakeholders to translate business challenges into predictive models and scalable solutions, deploying them into applications with ongoing monitoring and optimization.

Qualifications

• At least 6+ years of predictive analytics experience with Python, R, or Scala and 6+ years writing complex SQL for data extraction/ transformation.
• Extensive experience applying ML including deep learning and NLP.
• 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 with stakeholders, including executives.
• Experience leading projects in Agile Scrum environments.
• Strong strategic thinking and problem-solving using data insights.

Responsibilities

• 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.

Skills

Python

SQL

Machine Learning

Leadership

Strategic thinking

Communication

Tools

Hadoop

Spark

Cloud platforms

NLP

Job description

Role overview

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.

Responsibilities

• 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.

Requirements

• 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.

Nice to have

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

Benefits and work setup

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