Data Scientist - Managing Consultant

20 May 2024

Vacancy expired!

Overview

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 and navigate significant regulatory pressures with a focus on transformational change, business resiliency, and technology-driven innovation. Across a range of advisory, consulting, outsourcing, and digital services, we create scalable, innovative solutions that prepare our clients for future growth and success. The company has more than 10,000 professionals in over 50 locations globally. Guidehouse is a Veritas Capital portfolio company, led by seasoned professionals with proven and diverse expertise in traditional and emerging technologies, markets, and agenda-setting issues driving national and global economies. For more information, please visit: www.guidehouse.com. Responsibilities

Our consultants on the Advanced Analytics & Intelligent Automation 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 data wrangling, to data visualization and dashboarding, to predictive analytics, machine learning, and artificial intelligence 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.

Our consultants focus on client services, while also supporting business development, internal firm initiatives, and ongoing professional development. Qualifications

Minimum Security Clearance: US Citizenship Required

Minimum years of relevant experience: 6

Education: B.S./B.A. in Statistics, Mathematics, Operations Research, Computer Science, Information Systems, Engineering, Economics, Data Science, Data Analytics, or similar quantitative discipline.

Significant experience in and ability to:

• Manage contracts, projects, or teams responsible for delivering advanced analytics services and products

• Guide analytics initiatives and provide thought leadership

• Create and manage project plans, and execute work accordingly

• Supervise multiple direct reports, providing constructive feedback and guidance on work performance

• Cultivate relationships with clients or other non-team member stakeholders

• Operate with a high-degree of professional skepticism, independence, and objectivity - including considering the big picture while meeting the client's analytics needs

• Identify and address client needs and demonstrate flexibility in prioritizing and completing tasks

• Identify and assess project risks

• Communicate effectively to various audiences, including various levels of management and external clients, in a professional environment

• Self-organize, self-manage, take initiative and follow through

• Ability to juggle multiple tasks and responsibilities

Education: M.S./M.A. in Statistics, Mathematics, Operations Research, Computer Science, Information Systems, Engineering, Economics, Data Science, Data Analytics, or similar quantitative discipline.

Significant experience working with analytical models, methods, applications, and tools, such as:

• Statistical analysis, predictive modelling, simulation, machine learning, and artificial intelligence

• Selecting and applying the appropriate analytical techniques

• Analyzing large and complex data sets, with strong aptitude for conducting quantitative and qualitative analysis

• Analytics for business, operations, human capital analytics, or financial management

• Proficiency in an analytics programming language, such as R, Python, or SAS

• Visualization skills such as Tableau, Power BI, or R Shiny

• Experience in using GIS to analyze geographic/spatial data

• Familiarity with Data Architecture principles

• Understanding of ETL best practices

Experience supporting business development, such as responses to government solicitations (e.g., RFPs, RFQs, RFIs), and writing white papers. Knowledge of defense, national security, financial, healthcare, international development, or state and local government environment. Additional Requirements

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. Disclaimer

About Guidehouse

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
  • 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
  • Tuition Reimbursement, Personal Development & Learning Opportunities
  • Skills Development & Certifications
  • Employee Referral Program
  • Corporate Sponsored Events & Community Outreach
  • Emergency Back-Up Childcare Program