Lead Data Scientist
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Lead Data Scientists at Excella drive the development and implementation of advanced analytics solutions, ensuring alignment with business objectives and technical best practices. They provide strategic leadership in data science projects, mentor team members, and influence decision-making through data-driven insights.
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.
Qualifications:
- 6+ years of experience in predictive analytics using tools like Python, R, or Scala.
- 6+ years of experience writing complex SQL queries for data extraction and transformation.
- Extensive experience applying machine learning techniques, including deep learning and NLP.
- Expertise in working with large-scale data platforms, including Hadoop, Spark, and cloud-based solutions.
- Strong background in leading data science teams and mentoring junior data scientists.
- Proven ability to translate business problems into data science solutions.
- Excellent communication skills for engaging with stakeholders at all levels, including executives.
- Experience leading projects within Agile Scrum frameworks.
- Strong strategic thinking, problem-solving skills, and ability to drive decision-making based on data insights.
- Familiarity with DevOps Research and Assessment (DORA) and its application in analytics.
- Continuous learning mindset with a passion for staying up to date on emerging data science technologies.
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Excella
View Company ProfileExcella (operating under excella.com, legally Excella Consulting, Inc.) is the premier, enterprise-grade technology consulting firm, Agile transformation pioneer, and digital engineering powerhouse engineered to serve as the definitive, high-velocity software delivery, artificial intelligence implementation, and organizational modernization partner for federal government agencies, major commercial brands, and national non-profit organizations. Founded in 2002 by visionary tech leaders Steve Cooper, Burton White, and Jeff Gallimore, the firm completely eliminates the severe systemic friction of modern enterprise technology initiatives—where large-scale organizations struggle with high-latency waterfall release cycles, critical talent deficits, and high failure rates in integrating machine learning and predictive AI models within compliant, legacy environments—by deploying a disciplined, people-first engineering execution matrix. Moving far beyond traditional, passive IT staffing agencies or generic systems integrators, Excella natively unifies modern Agile engineering, advanced cloud-native DevOps pipelines, strategic data science and predictive analytics modeling, and specialized organizational agility training into a unified high-performance consultancy. Its federal delivery arm is highly decorated, notably partnering with agencies like the U.S. Department of Health and Human Services (HHS) Office of Inspector General (OIG) to construct the Contracts and Grants Analytics Portal (CGAP), an advanced, AI-driven oversight platform designed to combat fraud, waste, and abuse across over $1 trillion in federal grants. The firm is widely recognized for its exceptional workplace culture, earning consistent accolades including the Top Workplaces USA award for outstanding employee engagement and talent development. Under the hood, its delivery engine utilizes secure multi-cloud architectures, programmatic legacy modernization techniques, and robust data engineering pipelines built to maintain exceptional service delivery speeds and continuous security compliance. What sets Excella apart is its uncompromising dedication to replacing fragmented, low-signal development silos with absolute engineering predictability, certified federal compliance, and highly collaborative, expert human-led execution; by bridging the gap between performance-intensive low-level technical infrastructure and high-level mission goals, the company remains a definitive cornerstone of modern algorithmic software engineering and global organizational transformation.
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