• Data Science Practice Lead

  • Overview

    We are seeking a Data Science Practice Lead to set the strategic direction of our data science practice, mentor our current team of data scientists and work directly with clients to understand and define analysis objectives and translate these into actionable results.The Data Science Practice Lead is responsible for using advanced statistical, algorithmic, machine learning, mining and visualization techniques to help advance and complete client projects. The Data Science Practice Lead must also be able to communicate complex quantitative analyses in a clear, precise, and actionable manner to management and executive level audiences.


    • Working directly with client stakeholders to understand and define analysis objectives and then translate these into actionable results.
    • Obtaining data from multiple, disparate data sources including structured, semi structured and unstructured data.
    • Using machine learning and data mining techniques to understand the patterns in large volumes of data, identify relationships, detect data anomalies, and classify data sets.
    • Working with data integration developers to assess data quality and define data processing business rules for cleansing, aggregation, enhancement, supporting analysis and predictive modelling activities.
    • Designing and building algorithms and predictive models using techniques such as linear and logistic regression, support vector machines, ensemble models (random forest and/or gradient boosted trees), neural networks, and clustering techniques.
    • Deploying predictive models and integrating them into business processes and applications.
    • Validating and optimizing model performance upon deployment and tracking over time as necessary.
    • Presenting complex analysis results tailored to different audiences (e.g. technical, manager, executive) in a highly consumable and actionable form including the use of data visualizations.


    • Bachelors Degree in a quantitative discipline and 4+ years of analytics experience or; Masters Degree in a quantitative discipline and 2+ years of analytics experience.
    • Experience leading a team in delivering a data science product as part of a larger data science roadmap
    • 8+ years using data mining methods, such as clustering and anomaly detection, to understand data patterns and select appropriate predictive techniques.
    • 3+ years hands on experience with either Python or R.
    • Proficient understanding and usage of relational SQL (e.g. Oracle, SQL Server, PostgreSQL) databases and data structures.
    • Experience using NoSQL (e.g. Mongo, Neo4j) databases and data structures.
    • Excellent communication skills to be able to interact directly with non-technical client stakeholders and act in a business-to-technical translation role.
    • Experience working in an onsite client technical consulting environment preferred.
    • Experience working within Agile Frameworks, such as Scrum or Kanban.

    Preferred Qualifications:

    • Masters Degree or PhD
    • Experience deploying machine learning models in AWS.

    About Excella

    Excella is a leading provider of Agile software development and data and analytics solutions to clients in the federal, commercial and non-profit sectors. We believe that great work leads to great things –- our experts measure success by the positive impact we make on our clients, community, and colleagues. We are growing fast and need passionate, innovative people who love working with technology and are ready to make an impact.


    Here's what you can expect from us:

    • We care about our employees. In fact, The Washington Post and The Washington Business Journal consistently rank us as a "Best Place to Work."
    • You'll work with great people who love what they do: our team includes published authors, certified trainers, and internationally renowned speakers.
    • We have a "bring your own device" workplace and will share the cost of a new computer of your choice -- Mac or PC. It's up to you.
    • We'll invest in your career by providing 3 days of paid professional development every year, including travel and registration fees to attend classes and conferences, in addition to tuition assistance for degrees and certifications.
    • Starting day one, every employee is bonus eligible and receives 17 days of paid vacation.
    • You can bike, drive, or metro to work -- our commute reimbursement plan has you covered.
    • We cater dinner once a quarter, and always have healthy snacks available!
    • You'll have fun! We hold monthly social events all year long, including a summer getaway for you and your family.

    Excella is an equal opportunity/affirmative action 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.


    Sorry the Share function is not working properly at this moment. Please refresh the page and try again later.
    Share on your newsfeed