Data Scientist, Modeling Lead

Guidehouse • Arlington, VA

1d

About The Position

Guidehouse is seeking a Data Scientist, Modeling Lead to join our AI & Data Defense and Security Segment, where the individual will lead modeling efforts, and help clients maximize the value of their data and automate business processes. The individual will work with clients to implement the full spectrum of data analytics and data science, from data querying and wrangling to data engineering, to data visualization, dashboarding, and business intelligence (BI), to predictive analytics, machine learning (ML), and artificial intelligence (AI). Our support enables our clients through mission critical insights and data-driven decision making, reduced cost and complexity, increased trust, and improved operational effectiveness.

Requirements

• Must be able to OBTAIN and MAINTAIN a Federal or DoD "PUBLIC TRUST"; candidates must obtain approved adjudication of their PUBLIC TRUST prior to onboarding with Guidehouse. Candidates with an ACTIVE PUBLIC TRUST or SUITABILITY are preferred.
• Bachelors Degree
• THREE (3) or more years of experience in consulting, data analytics, or project management

Nice To Haves

• Active DHS Public Trust
• Law Enforcement experience
• Data visualization tools such as Qlik
• Good critical thinking skills, writing skills, and communication skills
• Experience with Databricks
• Experience connecting visualization to various types of data sources
• Experience developing training materials

Responsibilities

• Provide data science, artificial intelligence (AI) / machine learning (ML), and analytics support to Department of Homeland Security (DHS) program clients.
• Develop data visualization and dashboard solutions to provide analytics insights (Qlik)
• Collecting, cleaning, and analyzing data using a variety of methods and tools, such as Python and R
• Leverage data science platforms such as Databricks
• Ensuring data governance and quality assurance standards are met
• Conducting data validation and remediation using tools such as R and Excel
• Organizing and leading client meetings, including scheduling meetings; drafting and delivering agendas and meeting minutes; providing and archiving required documentation; and documenting, tracking, and following-up on action items
• Summarizing and presenting information and reports to the team and make recommendations (both oral and written).
• Develop trusted relationships with clients at all levels of the organization to obtain a more complete perspective and understanding of our clients’ mission, challenges, and goals to deliver tailored solutions and drive innovation in AI/ML and data science.
• Support business development efforts (e.g., responding to RFPs/RFIs, developing white papers, creating pitch decks and capability briefings, etc.)

Benefits

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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees