Data Scientist

  • Washington DC, DC
  • Full Time
  • Manager/Supervisor

Position Overview

The Company

Censeo Consulting Group is a top Washington D.C. based management consulting firm dedicated to helping public sector and non-profit clients build operational excellence, deliver better outcomes, and lower cost. We take a personalized approach to strategic consulting to solve our clients’ most complex problems and build operational excellence that transforms their organizations, allowing them to better deliver on their public and social missions. 

At Censeo, our award-winning culture means you’ll join a tight-knit community of 50 brilliant and passionate colleagues. We are advocates for a better functioning public sector, and we’re also good friends who know the names of each other’s dogs. Our philosophy is horizontal, not hierarchical, and our open-door policy encourages a culture of entrepreneurship at all levels. We share successes, make decisions together, and foster an environment for those with passion and initiative to lead. Our colleagues bring their own unique personalities to work every day and use them to help shape our growing firm in ways that reach far beyond client projects. 

Introduction

The Federal Acquisition Service (FAS) Office of Enterprise Strategy Management (OESM), Multiple Award Schedule (MAS) Program Management Office (PMO) has a requirement for a Data Scientist.  The requirements and skills are outlined below; the primary goals of the position are:

  • Identify, clean, and normalize Transactional Data Reporting (TDR) data, Contractor Payment Reporting Module (CPRM) and other data sets for MAS.
  • Build a MAS data model that standardizes the structure and relationships of Sales Reporting Portal (SRP) data with other key data sets across the enterprise that can be used by multiple portfolios.
  • Create business requirements for DX and Contract Acquisition Life-cycle Management (CALM) implementation

Required Qualifications

  • Master of Public Administration (MPA) or Master of Science (MS) degree in Statistics, Mathematics, Computer Science or another quantitative field or a BS/BA degree in these same disciplines AND five years of relevant experience.
  • Proficiency in using Amazon Web Services (AWS), Amazon Simple Storage Service (Amazon S3), Amazon EMR (previously called Amazon Elastic MapReduce), Redshift and Sagemaker
  • High proficiency in PostgresSQL and MongoDB MQL
  • High proficiency using Python or Scala within a Spark environment to manipulate data and draw insights from large data sets.
  • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
  • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
  • Collaboration and facilitation skills to work with clients and interdisciplinary teams to comprehend the customer journey, define relevant qualitative and quantitative measurements, uncover actionable insights, and identify opportunities for gaining and retaining clients.
  • Strong problem solving skills with an emphasis on product development and process improvement.

Additional Preferred Experience

  • Ability to make sense of and scale outcomes from qualitative and quantitative data through data analytics, coding and process automation
  • Scale data-driven business outcomes through user feedback, data analytics, coding and process automation of qualitative and quantitative data
  • Work experience in collaborating with developers and communicating with technical team members to implement backlog of product or customer experience improvements
  • Experience with garnering customer and employee feedback for large organizations incorporating industry standards while following federal regulations and policies
  • Demonstrated outcomes and accomplishments for using data and processes to lead new transformation efforts for customer  experience.
  • Be comfortable with unstructured data sets.

Data Scientist Requirements

  • Review and analyze transactional data to determine its usability for Contract Awarded Labor Categories (CALC+) and Price Point Plus Portal (4P).
  • Establish data quality standards and controls for quality assurance
  • Mine and analyze data from databases and quantitative analysis to drive optimization and improvement of product development, marketing techniques, and business strategies.
  • Develop custom data models and enrichment pipelines to apply to data sets.  E.g. employ data algorithms.
  • Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
  • Coordinate with different functional teams to implement models and monitor outcomes.
  • Develop processes and tools to monitor and analyze model performance and data accuracy.
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques, e.g. Bureau of Labor Statistics (BLS) data.
  • Create and contribute to data intelligence,  measurement, and key metrics. Maintain data evidence standards with user research and unstructured data sets. Be an active contributor to FAS Data Evidence Governance Board activities. .
  • Use algorithms to drive outcomes removing unconscious bias and protecting data ethically.

About The Role and Project

All of the Federal Marketplace (FMP) and Digital Experience (DX) initiatives require extensive data management, analysis and normalization.  FAS has made great strides in the past two years by bringing key data into a FAS Enterprise Data Architecture (EDA) with a data set catalog. In order to bring data into the EDA, data scientists/analysts need to normalize data across multiple systems and sync up data fields to ensure the EDA holds clean, authoritative data that can be used by all of FAS. A good amount of FAS’s data is still held on 30 year old legacy production systems. 

Often, these data sources do not have similar data elements or the field names are not clear for data consumers. More current data sources such as “prices paid” data are reported in inconsistent formats and are in need of data standards.  In order to create unified digital tools for FAS schedule customers, disparate data sources must be painstakingly combined into a unified data structure. Existing data science capabilities within GSA are at or over capacity with demand from across the enterprise.

The outcomes of this process will:

  • Increase data quality
  • Enhances data integrity for the Digital Experience (DX) project
  • Provide faster delivery of quality data to customers in support of unpriced services
  • Support TDR expansion and improve the useability and usage of TDR data

The Fine Print:

  • Expected travel 0-10%; may increase based on business needs
  • This is an exempt, full-time position

Censeo offers a competitive compensation and benefits package, including paid vacation and sick leave, flexible and remote work opportunities, and tuition and training reimbursement. More information on our benefits and perks can be found at: https://www.censeoconsulting.com/about/join-us/.  

Censeo is an equal opportunity employer. We are committed to providing equal opportunity to all applicants and employees in full compliance with all applicable state and federal laws prohibiting discrimination on the basis of race, color, age, gender, religion, national origin, disability, protected veteran status, or any other class protected by applicable state or federal law.

Join Our Award-Winning Culture!

Our passion wins awards. But don’t just take it from us… 

  • 2020 Vault #21 Best Boutique Consulting Firm 
  • 2019 Ivy Exec #7 Best Boutique Consulting Firm 
  • 2018 Consulting Magazine Best Small Firms to Work For 
  • 2017 Vault #12 Best Boutique Consulting Firm 
  • 2016 Forbes Best Management Consulting Firms in America
  • 2015 Washington Business Journal’s Philanthropy List 

Apply for this position

* Required fields
First name*
Last name*
Email address*
Location
Phone number*
Resume*

Attach resume as .pdf, .doc, .docx, .odt, .txt, or .rtf (limit 5MB) or paste resume

Paste your resume here or attach resume file

Cover Letter*
Who referred you to this position? Enter their first and last name here.
What’s your citizenship / employment eligibility?*
What’s your highest level of education completed?*
College or University*
GPA*
Are you 18 years of age or older?*
LinkedInLinkedIn profile URL:
Website, blog or portfolio:
Desired salary*
Earliest start date?*
In 150 characters or fewer, tell us what makes you unique. Try to be creative and say something that will catch our eye!
References: Please enter names and contact information:
How many years of experience do you have working as a Data Scientist?*
How many years of experience do you have working with GSA or other Federal Government Clients?*
The following questions are entirely optional.
To comply with government Equal Employment Opportunity and/or Affirmative Action reporting regulations, we are requesting (but NOT requiring) that you enter this personal data. This information will not be used in connection with any employment decisions, and will be used solely as permitted by state and federal law. Your voluntary cooperation would be appreciated. Learn more.
Gender
Race/Ethnicity

Invitation for Job Applicants to Self-Identify as a U.S. Veteran
  • A “disabled veteran” is one of the following:
    • a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or
    • a person who was discharged or released from active duty because of a service-connected disability.
  • A “recently separated veteran” means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.
  • An “active duty wartime or campaign badge veteran” means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.
  • An “Armed forces service medal veteran” means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.
Veteran status
I IDENTIFY AS ONE OR MORE OF THE CLASSIFICATIONS OF PROTECTED VETERAN LISTED ABOVE
I AM NOT A PROTECTED VETERAN
I DON’T WISH TO ANSWER

Voluntary Self-Identification of Disability
Voluntary Self-Identification of Disability Form CC-305
OMB Control Number 1250-0005
Expires 5/31/2023
Why are you being asked to complete this form?

We are a federal contractor or subcontractor required by law to provide equal employment opportunity to qualified people with disabilities. We are also required to measure our progress toward having at least 7% of our workforce be individuals with disabilities. To do this, we must ask applicants and employees if they have a disability or have ever had a disability. Because a person may become disabled at any time, we ask all of our employees to update their information at least every five years.

Identifying yourself as an individual with a disability is voluntary, and we hope that you will choose to do so. Your answer will be maintained confidentially and not be seen by selecting officials or anyone else involved in making personnel decisions. Completing the form will not negatively impact you in any way, regardless of whether you have self-identified in the past. For more information about this form or the equal employment obligations of federal contractors under Section 503 of the Rehabilitation Act, visit the U.S. Department of Labor’s Office of Federal Contract Compliance Programs (OFCCP) website at www.dol.gov/ofccp.

How do you know if you have a disability?

You are considered to have a disability if you have a physical or mental impairment or medical condition that substantially limits a major life activity, or if you have a history or record of such an impairment or medical condition. Disabilities include, but are not limited to:

  • Autism
  • Autoimmune disorder, for example, lupus, fibromyalgia, rheumatoid arthritis, or HIV/AIDS
  • Blind or low vision
  • Cancer
  • Cardiovascular or heart disease
  • Celiac disease
  • Cerebral palsy
  • Deaf or hard of hearing
  • Depression or anxiety
  • Diabetes
  • Epilepsy
  • Gastrointestinal disorders, for example, Crohn's Disease, or irritable bowel syndrome
  • Intellectual disability
  • Missing limbs or partially missing limbs
  • Nervous system condition for example, migraine headaches, Parkinson's disease, or Multiple sclerosis (MS)
  • Psychiatric condition, for example, bipolar disorder, schizophrenia, PTSD, or major depression
Please check one of the boxes below:
YES, I HAVE A DISABILITY, OR HAVE A HISTORY/RECORD OF HAVING A DISABILITY
NO, I DON'T HAVE A DISABILITY, OR A HISTORY/RECORD OF HAVING A DISABILITY
I DON'T WISH TO ANSWER

PUBLIC BURDEN STATEMENT: According to the Paperwork Reduction Act of 1995 no persons are required to respond to a collection of information unless such collection displays a valid OMB control number. This survey should take about 5 minutes to complete.

Your Name Today's Date
Human Check*