Managing Consultant Data Scientist

Excella•Arlington, VA

2d•$167,000 - $225,000•Remote

About The Position

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 for clients and mentor team members to become better AI/ML engineers. They lead in architecture and pipeline designs, allowing for reproducible and traceable AI solutions.

Requirements

3+ years of experience leading teams to design, develop and deploy scaled, highly performant AI/ML solutions, preferrably in sensitive contexts
Experience with leading Agile AI/ML teams, including AI incubators. Strong background in 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 in languages like Python or Scala.
9+ years of experience applying data science techniques, such as clustering analysis, anomaly detection, tree-based models, ensemble methods, neural networks
Experience tracking model performance through product development lifecycle.
Experience using AI/ML pipeline management and tracking tools (MLFlow, DataBricks)
Proficiency with relational databases (Oracle, SQL Server, PostgreSQL) and Big Data platforms (Hadoop/Spark). Including querying to extract data from multiple source systems.
Experience using natural language processing techniques, including Generative AI.
Excellent communication skills for engaging with stakeholders at all levels, including executives.
Self-motivated with the ability to manage tasks and estimate time requirements effectively. Continuous learning mindset with a passion for staying up to date on emerging data science technologies.
Experience working in an Agile Scrum framework

Nice To Haves

Preferred: Experience applying advanced analytics for fraud detection and prevention.
Familiarity with DevOps Research and Assessment (DORA) and its capabilities is encouraged.

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 and translate them into actionable results.

Benefits

Top of industry medical, dental, and vision benefits with multiple options to choose from such as an employer-contributed health savings account, infertility coverage, and orthodontia
8 weeks of Parental Leave
Discounted pet insurance
Care.com membership with 3 back-up emergency child or elder care days annually
Bonus eligible
15 days of paid vacation
6 federal holidays
4 floating holidays
TechEleX program provides multiple options to suit technology needs (Mac or PC devices)
Replacement of existing computer with a new model every 3 years, with the option to keep the original device
Annual Internet Reimbursement benefit ($25 per month)
3 days of paid professional development every year, including an allowance for registration fees to attend classes, conferences, or obtain professional certifications.
Employee wellness events
HeadSpace membership
Access to TalkSpace
Mental health coverage through medical plans