Managing Consultant Data Scientist
Excella · Arlington, Virginia, United States, Remote Flexible
About this role
**Managing Consultant Data Scientist** **Overview** Managing Data Scientists at Excella leverage AI, machine learning, and advanced statistical techniques to drive meaningful insights and solutions for clients. They provide strategic leadership in data science projects and mentor team members to become better AI/ML engineers, leading in architecture and pipeline designs for reproducible and traceable AI solutions. **Responsibilities** • Lead the design and execution of data science projects, ensuring high-impact analytics solutions • Partner with client stakeholders to understand business challenges and develop data-driven strategies • Oversee data acquisition and integration, ensuring data quality and reliability • Apply and refine machine learning and predictive modeling techniques to solve complex business problems • Guide the deployment and integration of predictive models into business applications • Develop and implement strategies for optimizing model performance and monitoring over time • Present findings and recommendations to executives, translating complex data concepts into actionable business strategies • Mentor and support junior and senior team members in data science methodologies and best practices • Influence data governance and best practices within the organization • Work directly with client stakeholders to define and lead analysis objectives **Qualifications** • 3+ years leading teams to design, develop, and deploy scaled, highly performant AI/ML solutions • Experience with leading Agile AI/ML teams and mentoring junior data scientists • Experience developing and deploying Generative AI applications in high security contexts • 9+ years in predictive analytics using Python or Scala • 9+ years applying data science techniques (clustering, anomaly detection, tree-based models, ensemble methods, neural networks) • Experience tracking model performance and using AI/ML pipeline management tools (MLFlow, DataBricks) • Proficiency with relational databases (Oracle, SQL Server, PostgreSQL) and Big Data platforms (Hadoop/Spark) • Experience with natural language processing and Generative AI • Excellent communication skills for engaging with stakeholders at all levels • Self-motivated with strong time management and continuous learning mindset • Experience with Agile Scrum framework **Compensation** $167,000 – $225,000 USD + Annual Bonus Eligible **Benefits** Flexible work arrangements, comprehensive medical/dental/vision coverage, 8 weeks parental leave, 15 days PTO + 10 holidays, technology stipend with device replacement program, $25/month internet reimbursement, 3 days annual professional development, wellness programs, and mental health support.
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