Job description

Excella is a transformative technology firm that helps organizations unlock new possibilities. We believe the key to helping clients challenge the status quo and reach new heights lies in our talented people. That’s why we’re committed to developing talent and providing opportunities for career growth at every stage. Join our collaborative team dedicated to solving complex problems with sustainable solutions while building your future as a leader. At Excella, you’re empowered to make lasting impact, turning today’s challenges into tomorrow’s mission successes. Workplace locations look different for everyone. Excellians are a distributed workforce and whether you're working from your home office or a client site, we support a flexible work/life integration regardless of your location. We offer 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 so you can select the plan that works best for you. Regardless of what stage of life you’re in, Excella wants to support you. We provide 8 weeks of Parental Leave, discounted pet insurance, and a Care.com membership with 3 back-up emergency child or elder care days annually – all available to you on your first day. Starting day one, every employee is bonus eligible and receives 15 days of paid vacation, 6 federal holidays, and 4 floating holidays. Doing your best work means having the best tools! Excella’s TechEleX program provides you with multiple options to suit your technology needs. Choose between a variety of Mac or PC devices, and to ensure your hardware remains current, at the end of a 3-year period Excella will replace your existing computer with a new model from the program. Plus, we’ll even give you the original device to keep for your personal use! With Excella’s Annual Internet Reimbursement benefit, all employees receive an additional $25 per month to help offset the cost of internet access. This initiative reflects our commitment to supporting you in staying connected and productive, no matter where you work. We'll invest in your career by providing 3 days of paid professional development every year, including an allowance for registration fees to attend classes, conferences, or obtain professional certifications. We encourage mindfulness and overall well-being through employee wellness events, a HeadSpace membership, as well as access to TalkSpace and mental health coverage through our medical plans. Overview Managing Data Scientists at Excella leverage AI, machine learning, 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. 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. Qualifications 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. Preferred: Experience applying advanced analytics for fraud detection and prevention. 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. Familiarity with DevOps Research and Assessment (DORA) and its capabilities is encouraged. Experience working in an Agile Scrum framework This range represents the minimum and maximum base salary that Excella reasonably and in good faith expects to pay for this role. Actual compensation within the range will depend on factors such as skills, experience, training, certifications, and organizational needs. It is not typical for an individual to be hired at or near the top or bottom of the range. Your pay also includes the opportunity for an annual bonus in addition to the base salary. This variable pay opportunity is dependent upon the attainment of shared firmwide goals and objectives as determined by Excella’s Executive Team. Certain eligibility and pro-ration rules apply. Should your experience and knowledge qualify you for a different position or title within Excella, we may consider you for positions that better align with your qualifications. In that case, we will provide the range for those positions as well. Pay Range $167,000 — $225,000 USD Excella is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law. Excella is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation to participate in the job application or interview process, contact Recruiting@excella.com or 703-840-8600. KNOW YOUR RIGHTS

Requirements

Must-haves

We'll invest in your career by providing 3 days of paid professional development every year, including an allowance for registration fees to attend classes, conferences, or obtain professional certifications.
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.
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.
Familiarity with DevOps Research and Assessment (DORA) and its capabilities is encouraged.
Experience working in an Agile Scrum framework

Nice-to-haves

Preferred: Experience applying advanced analytics for fraud detection and prevention.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learningmlagilepythonsqlscrum

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

Parental Leave

Wellness

Professional Development