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Managing Consultant, Data Scientist

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🔥 5 minutes ago

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Excella

201 - 500 employees

🤖 Artificial Intelligence

🔒 Cybersecurity

☁️ SaaS

Artificial Intelligence • Cybersecurity • SaaS

Excella is a technology company specializing in artificial intelligence, analytics, modern software delivery, and organizational transformation. Excella employs an Agile/DevOps approach to help federal agencies, commercial enterprises, and nonprofit organizations implement innovative technology solutions and improve operational efficiency. Their services include cybersecurity integration in software development, enhancing digital experiences through user experience and human-centered design, and driving practical AI solutions. Committed to inclusion, diversity, and equity, Excella fosters a culture of continuous improvement and innovation, and encourages collaboration and thought leadership among its teams.

📋 Description

• Lead the design and execution of data science projects and 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 deployment and integration of predictive models into business applications • Develop strategies to optimize and monitor model performance 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 organizational best practices • Define and lead analysis objectives with client stakeholders and translate them into actionable results • Provide strategic leadership on data science projects • Lead architecture and pipeline designs for reproducible and traceable AI solutions

🎯 Requirements

• 3+ years of experience leading teams to design, develop, and deploy scaled, highly performant AI/ML solutions, preferably in sensitive contexts • Experience leading Agile AI/ML teams, including AI incubators • Strong background leading data science teams and mentoring junior data scientists • Experience developing and deploying Generative AI applications in high-security contexts • 9+ years of experience in predictive analytics using languages such as Python or Scala • 9+ years of experience applying clustering analysis, anomaly detection, tree-based models, ensemble methods, and neural networks • Experience tracking model performance throughout the product development lifecycle • Experience with AI/ML pipeline management and tracking tools, including MLFlow and DataBricks • Proficiency with relational databases including Oracle, SQL Server, and PostgreSQL • Proficiency with Big Data platforms including Hadoop and Spark • Experience querying data from multiple source systems • Experience using natural language processing techniques, including Generative AI • Excellent communication skills for engaging stakeholders at all levels, including executives • Ability to manage tasks and estimate time requirements effectively • Continuous learning mindset and interest in emerging data science technologies • Familiarity with DevOps Research and Assessment (DORA) and its capabilities is encouraged • Experience working in an Agile Scrum framework

🏖️ Benefits

• Top of industry medical, dental, and vision benefits with multiple plan options • Employer-contributed health savings account • Infertility coverage • Orthodontia coverage • 8 weeks of Parental Leave • Discounted pet insurance • Care.com membership with 3 back-up emergency child or elder care days annually • Annual bonus eligibility from day one • 15 days of paid vacation • 6 federal holidays • 4 floating holidays • Mac or PC device choice through the TechEleX program • Computer replacement with a new model after 3 years • Original computer retained for personal use after replacement • $25 per month Annual Internet Reimbursement • 3 days of paid professional development every year • Allowance for registration fees for classes, conferences, or professional certifications • Employee wellness events • HeadSpace membership • Access to TalkSpace • Mental health coverage through medical plans • Flexible work/life integration

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