• AI Data Scientist Lead

    Job Locations US-Washington DC | US-VA-McLean
    ID
    2019-3355
    Category
    Client Services
    Type
    Regular Full-Time
  • Overview

    Interested in working with talented people to help develop innovative solutions to some of society’s most complex and challenging problems?  We are Guidehouse, a leading consulting firm serving the public sector and commercial clients with specialized capabilities in strategy, technology, and risk management.  You may not yet know our name, but we have a rich history.  Guidehouse is a combination of PwC’s former public sector practice and Navigant’s deep expertise in energy, financial services and healthcare.

     

    We offer an exciting, fast-paced environment that fosters intellectual growth and rewards individuals based on impact, not tenure. Our firm is at the forefront of an emerging model solving complex problems that stretch across government and private companies, affording our people the opportunity to be on the cutting edge of the consulting profession. By focusing on markets facing transformational change, technology-driven innovation, and significant regulatory pressure, our employees also develop and deploy world class knowledge and problem solving that leads to breakthrough solutions.

    Responsibilities

    Build the future of Data Science as part of the Artificial Intelligence Center of Excellence (CoE). The CoE is a unique team within Guidehouse, focusing on solving our client’s most important challenges using Data and Advanced Analytics, AI, and Automation. As one of the top Public Sector professional services firms, the CoE works on a huge variety of projects; from predictive analytics models to support our healthcare and financial services divisions, to open source analysis for federal agencies, and deep learning initiatives for advanced analysis. As part of Guidehouse’s Data Analytics team, you will work on high-impact and high-visibility projects, helping to shape not only Guidehouse’s current business, but its long term strategy.

     

    This role involves leading a complex multi-functional Agile team with other data scientists, engineers, and UI/UX developers to develop and productionize analytics solutions.  Responsible for leading and reviewing the work of multiple engineers, data scientists, performing QC on code/models, developing and testing Machine Learning algorithms. This requires the use of sophisticated distributed systems, the development of high-availability APIs, and the application of statistical techniques. It also involves working with the customer / product owner to gather and validate modeling business rules and assumptions. Working with open source tools and platforms to build AI/ML models into production systems that provide real-time insights into data, decision-making, and case complexity. As part of your job, you will handle large amounts of training data, rapidly prototype new cloud architectures, perform testing and push solutions into production. Must have strong problem-solving abilities, be able to work both at high and low levels of detail, have excellent communication skills.

    Qualifications

    Required: 

     

    • A MS or Ph.D (Ph.D strongly preferred) in Engineering, Computer Science, Machine Learning, Statistics or related fields
    • 5+ years developing advanced AI and Machine Learning solutions (supervised and unsupervised)
    • 3+ years of experience leading development of Data Science projects using advanced analytics and Artificial Intelligence / Machine Learning (AI/ML)
    • 2+ years industry experience in top-tier management consulting, investment banking, finance, corporate strategy, product management or related business fields
    • 5+ years of Python experience preferably in data science specific packages (i.e. NumPy, SciPy, Scikit-learn, Pandas)
    • 3+ years of Database (SQL and NoSQL) experience
    • 1+ years of TensorFlow or equivalent experience
    • Knowledge and understanding of Semantic analysis (named entity recognition, sentiment analysis)
    • Knowledge and understanding of modeling and word representations (TF-IDF, LSA, LDA, word2vec)
    • Experience working with big data infrastructure with tools such as Hive, Spark, Databricks and H2O
    • Experience building solutions at enterprise scale on cloud platforms (preferably AWS)
    • Experience working in a large, complex DevSecOps environment with 6+ agile teams working in a CI/CD environment
    • Strong written and oral communications skills
    • Experience working with code repositories and continuous integration (i.e. Git, Jenkins, etc.)
    • Experience leading capture on business development opportunities and developing whitepapers
    • Understanding of development and project methodologies.
    • Project Management and Agile certifications

     

    Desired: 

     

    • Experience building solutions that are delivered on a Openshift or similar microservice platform
    • Experience writing research and academic papers
    • Experience in IDAM and application security

    Disclaimer

    About Guidehouse 

    With a unique blend of large firm resources and an entrepreneurial collaborative culture, Guidehouse is where your purpose, passion, and expertise transforms organizations.

    Guidehouse is a leading global provider of consulting services to the public and commercial markets with broad capabilities in management, technology, and risk consulting. We help clients address their toughest challenges with a focus on markets and clients facing transformational change, technology-driven innovation and significant regulatory pressure. Across a range of advisory, consulting, outsourcing, and technology/analytics services, we help clients create scalable, innovative solutions that prepare them for future growth and success.  Headquartered in Washington DC, the company has more than 7,000 professionals in more than 50 locations.

    If you’re passionately motivated to make a difference and deliver exceptional work, we invite you to learn more about your career opportunities at www.guidehouse.com

    Additional Requirements

    • This position requires successful completion of a background check and employment verification.
    • The successful candidate must not be subject to employment restrictions from a former employer (such as a non-compete) that would prevent the candidate from performing the job responsibilities as described.

    Disclaimers

    Guidehouse is an Equal Employment Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, citizenship status, military status, protected veteran status, religion, creed, physical or mental disability, medical condition, marital status, sex, sexual orientation, gender, gender identity or expression, age, genetic information, or any other basis protected by law, ordinance, or regulation.

     

    Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

     

    If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

     

    Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

     

    Rewards and Benefits

    Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

     

    Benefits include:

    • Medical, Rx, Dental & Vision Insurance
    • Personal and Family Sick Time & Company Paid Holidays
    • Parental Leave and Adoption Assistance
    • 401(k) Retirement Plan
    • Student Loan Paydown
    • Basic Life & Supplemental Life
    • Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
    • Short-Term & Long-Term Disability
    • Tuition Reimbursement, Personal Development & Learning Opportunities
    • Skills Development & Certifications
    • Employee Referral Program
    • Corporate Sponsored Events & Community Outreach
    • Emergency Back-Up Childcare Program

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