Cleared Data Scientist Lead

Guidehouse•Washington, DC

1d•Hybrid

About The Position

Our consultants on the Defense & Security AI & Data team help clients maximize the value of their data and automate business processes. This high performing team works 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) as well as robotic process automation (RPA). Our services enable our clients to define their information strategy, enable mission critical insights and data-driven decision making, reduce cost and complexity, increase trust, and improve operational effectiveness. This role involves belonging to a collaborative team dedicated to AI, Advanced Analytics and Intelligent Automation, focusing on client services, while also supporting business development, internal firm initiatives, and ongoing professional development in data science, data analytics, and/or data engineering. The individual will work as a senior data scientist/data analytics/business intelligence professional in collaboration with cross-functional teams and continue career development in data science and data analytics software, methods, and consulting.

Requirements

An ACTIVE and MAINTAINED "SECRET" Federal or DoD security clearance
Bachelor's degree is required
FIVE (5) years of experience of hands-on data solutions experience with at least 2 years in a technical leadership role
Quality control experience including debugging and conducting Quality Assurance of new features and enhancements
Experience developing new and re-designing existing processes to meet new and/or evolving business requirements
Experience leading advance analytics development efforts and managing the work of more junior data scientists
Experience in Python and Tableau dashboard development
Experience building automated data pipelines in Databricks, including cleaning, aggregating, and organizing data from multiple sources
Experience leading and design data modeling processes, algorithms and predictive models, AI use cases, and custom analysis
Experience leading data driven analytic activities involving the identification of key indicators for both compliance and effectiveness critical to mission/business success

Nice To Haves

Ability to define data requirements and ensure storage, availability, and coherence of electronically stored information to guarantee it meets the organization's needs
Ability to support on-site and hybrid projects in the DC metro area
Strong understanding of federal cybersecurity requirements (FISMA, FedRAMP, and NIST)
Ability to facilitate meetings and present topics to diverse groups of functional and technical staff
Cybersecurity performance measures, federal reporting requirements, Cybersecurity data sources and tools.
Knowledge of additional coding languages such as R and SQL
Expertise in PowerBI
Competency in data mining, including structuring of raw data to formulate or recognize patterns to generate new information and unlock information and insights that help the organization better manage risks
Experience manipulating large data sets and using them to identify trends and reach meaningful conclusions to inform strategic business decisions

Responsibilities

Help clients maximize the value of their data and automate business processes.
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) as well as robotic process automation (RPA).
Enable clients to define their information strategy, enable mission critical insights and data-driven decision making, reduce cost and complexity, increase trust, and improve operational effectiveness.
Focus on client services.
Support business development, internal firm initiatives, and ongoing professional development in data science, data analytics, and/or data engineering.
Work as a senior data scientist/data analytics/business intelligence professional in collaboration with cross-functional teams.
Continue career development in data science and data analytics software, methods, and consulting.
Develop new and re-design existing processes to meet new and/or evolving business requirements.
Lead advance analytics development efforts and manage the work of more junior data scientists.
Lead and design data modeling processes, algorithms and predictive models, AI use cases, and custom analysis.
Lead data driven analytic activities involving the identification of key indicators for both compliance and effectiveness critical to mission/business success.

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