Data Scientist, Senior Consultant

GH Office: Arlington, VA

Guidehouse

Guidehouse is the only scaled consultancy in the world to fully integrate commercial and public or government businesses within each of our industry segments because complex problems require both perspectives to address and outwit.

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Job Family:

Data Science Consulting


Travel Required:

Up to 10%


Clearance Required:

Ability to Obtain Public Trust

What You Will Do:

Our consultants on the ESI Solutions - Data and Analytics 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 architecture and storage to data engineering and querying, to data visualization and dashboarding, to predictive analytics, machine learning, and artificial intelligence as well as intelligent automation. 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 team supports Federal Civilian, State and Local, and Energy Provider clients through performing data science, analytics, data wrangling, statistical analysis, and machine learning. We focus on client services, while also supporting business development, internal firm initiatives, and ongoing professional development.


What You Will Need:

  • U.S. citizenship and ability to obtain a Public Trust clearance
  • Bachelors degree in a highly quantitative and computational discipline (e.g., data science, business analytics, economics, statistics, computer science, etc.) AND 3+ years of experience performing data science and analytics (e.g., data visualization, statistical analysis, predictive analysis, and machine learning) with special emphasis on data aggregation/synthesis, data wrangling, prepping data for model consumption; Or
  • Masters degree in a highly quantitative and computational discipline AND 2+ years of experience performing data science and analytics (e.g., data visualization, statistical analysis, predictive analysis, and machine learning) with special emphasis on data aggregation/synthesis, data wrangling, prepping data for model consumption
  • Proficiency using open source programming such as R or Python
  • Proficiency using Power BI, Tableau, Qlik, or Elastic X-Pack for data visualization and developing dashboards
  • Ability to design and deliver solutions with autonomy, working collaboratively as part of a team
  • Strong communication/presentation skills and ability to explain technical topics to non-technical audiences
  • Strong consulting skills: identifying and addressing client needs, building relationships, driving initiatives forward
  • Ability to travel as needed
  • Candidates must be local to the DMV area and capable of working onsite in Guidehouse office 1x per week


What Would Be Nice To Have:

  • Knowledge of or experience with cloud solutions for data science, such as Azure or AWS
  • Demonstrated work experience supporting Federal Civilian, State and Local Government, or Energy Provider clients
  • Ability to support business development including RFP/RFQ/RFI responses involving data science / analytics

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What We Offer:

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

  • 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

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.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Architecture AWS Azure Business Analytics Computer Science Consulting Data Analytics Data visualization Economics Engineering Machine Learning Open Source Power BI Python Qlik R Statistics Tableau Travel

Perks/benefits: Career development Competitive pay Flex hours Flexible spending account Health care Insurance Medical leave Parental leave Salary bonus Team events

Region: North America
Country: United States
Job stats:  5  0  0

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