Data Scientist – Managing Consultant ? Global Investigations & Compliance – Technology

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

• Apply statistical and programming skills to convert raw data into insights that help clients understand and mitigate fraud threats.
• Analyze the effectiveness of existing fraud models and oversee the design, development, and management of new real-time fraud rules and models.
• Research and apply the latest machine learning algorithms to power analytical solutions for managing fraud problems in the market.
• Collaborate with clients and domain experts to drive the development and optimization of machine learning fraud models.
• Responsible for day-to-day activities of a project including interaction with other team members, professionals from other firms involved in the engagement, and client personnel.
• Own data science areas such from analytics roadmap and prioritization to definition of KPIs and developing new ways of understanding customer feature engagement.
• Prepare reports, written analyses, quantitative exhibits, and other client deliverables regarding projects and/or results of work performed.

Qualifications

Preferred:

• Local to NYC or DC (but not required).
• Experience in a management consulting/advisory company.
• Experience with data visualization tools such as Tableau.
• Experience with Financial Crimes datasets, including third-party and open data sources.

Required:

• Advanced degree from an accredited college/university.
• 3+ years of experience as a Data Scientist or Data Analyst.
• Strong proficiency with big data technologies (e.g. SQL, Spark, Python).
• Solid experience in Data Science, Predictive modeling, exploratory analytics.
• Experience in experimentation design, A/B testing, propensity score analysis, linear regression and/or probabilistic modeling.
• Fluency in Microsoft SQL Server.
• Fluency in programming languages, e.g., R, Python, etc.
• Experience analyzing and visualizing data.
  • Experience with visualization of data including Tibco Spotfire, Tableau, R, PowerPivot, PowerBI, Excel, and others

• Strong conceptual as well as quantitative and qualitative analytical skills.
• Intellectual curiosity and the ability to ask probing, thoughtful questions and examine data from all angles/perspectives.
• Strong team management skills to manage team?s progress and perform quality assurance/quality control of deliverables.
• Ability to take on projects with a sense of ownership and entrepreneurial approach.
• Able to manage several projects simultaneously and autonomously.

Travel:

• Travel as required based on engagements.

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.

This role can be located in the Central, Eastern, Mountain, or Western time zone.

Due to our contractual requirements and an Executive Order from the White House, every federal government employee and onsite federal contractor will be asked to attest to their vaccination status. In the interest of health and safety during the continued unprecedented COVID-19 pandemic, anyone who does not attest to being fully vaccinated will be required to follow CDC guidelines which may include (subject to specific contractual requirements): wearing a mask on the job no matter their geographic location, physically distancing from all other employees and visitors, complying to any screening testing requirements. This requirement will apply to Guidehouse employees who work onsite for the federal government.

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.

This position may be eligible for a discretionary variable incentive.

Benefits include:

Medical, Rx, Dental & Vision Insurance

Personal and Family Sick Time & Company Paid Holidays

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