Lead Data Scientist

This is a fully remote position, open to applicants in Washington.

📋 Description

• Provide overall leadership and strategic guidance for data science projects, encompassing technical vision, priorities, and roadmaps.

• Drive significant technical decisions in collaboration with clients and practice leadership.

• Convert client business goals into sophisticated analytics solutions.

• Oversee solution architecture and design from initial concept to production.

• Analyze extensive and intricate datasets.

• Develop, train, and validate statistical, predictive, and machine learning models.

• Write high-quality production-level Python code and conduct code reviews for the team.

• Establish best practices for model development, testing, documentation, and performance monitoring.

• Mentor data scientists and analysts.

• Collaborate with data engineering, product, and business teams for comprehensive technical execution.

• Present findings to both executive and non-technical audiences.

• Provide technical estimates and solution inputs for project planning and business development.

⛳️ Requirements

• 10-15 years of pertinent experience in data science, software development, or a similar field.

• Proficient in object-oriented programming (OOP) using Python.

• Experience in building production-grade models utilizing Python and SQL.

• Proven track record in establishing technical strategies and roadmaps.

• Experience leading the technical execution of complex analytics projects and making pivotal technical decisions.

• Familiarity with designing end-to-end solution architectures.

• Experience in developing solutions in Azure, including Azure Machine Learning, MLflow, Azure Synapse, and Microsoft Fabric.

• Advanced practical Python skills.

• Experience in conducting code reviews and upholding coding standards, testing, and version control.

• In-depth experience across the complete data science lifecycle, from problem definition to model deployment, monitoring, and adoption.

• Demonstrated success in leading the technical delivery of data science solutions.

• Experience mentoring data scientists and analysts within enterprise settings.

• Strong client-facing consulting experience.

• Technical support for business development initiatives.

• Exceptional communication skills for engaging both technical and business audiences.

🏝️ Benefits

• Performance-based bonuses and other incentives may be available to eligible employees.

• Supportive, globally connected work environment.

• Opportunities for training, project involvement, and mentorship.

• Access to advanced tools and technology.

• Competitive compensation package.