Data Scientist

Freddie Mac
McLean, Virginia
Nov 20, 2020
Nov 26, 2020
Full Time
At Freddie Mac, you will do important work to build a better housing finance system and you'll be part of a team helping to make homeownership and rental housing more accessible and affordable across the nation.

Position Overview

The Enterprise Analytics Data Scientist will use sophisticated data modeling, predictive modeling and analytical techniques to interpret key findings from ESC SQL Server data warehouse, third-party data and bring to bear these insights into powerful dashboards that will support enterprise and functional outcomes.

Our Impact:

ESC Mission
  • Improve customer experience, mitigate third-party risk and demonstrate buying power in-order to collect, enable and sustain value for business partners and suppliers.

ESC Vision
  • Unlock value in the supply network to enable growth, innovation, and outstanding customer experience!

ESC Data Analytics Goals
  • Deliver data insights to support ESC mission and vision
  • Focus on delivering business value and innovate iteratively
  • Build and improve team capabilities to deliver consistent and balanced data solutions and value and to business

Your Impact:

  • Analyzes various data sets to provide meaningful visualization using Tableau Dashboards and deliver Executive Level outputs
  • Communicates sophisticated data in a simple, impactful way - helps get at the core of the data to help delivery owners drive insights
  • Utilize outside data sources to help drive market intelligence / insights for Category Management and other delivery owner teams.
  • Correlates data similarities for measurable results - move from historical to predictive analytics
  • Acts as the data steward - maintains data quality and identifies / closes gaps to enhance data continuity
  • Transfers data from the data warehouse into a format appropriate for analysis
  • Drive move from excel reports and replace with self-service visualization tools

  • 5-7 years of related experience
  • Bachelor's Degree in quantitative field such as Statistics, Economics, Mathematics, Computer Science, or Information Systems
  • Proven on-the-job experience getting data or proposing ways in which to measure or collect the data in the future
  • Experience working with and manipulating the data to answer the question at hand or develop performance measures that are relevant
  • On-the-job experience solving data problems, optimally and expertly conveying process and outcomes to senior partners in both written and oral formats
  • Intellectually curious and motivated to research and learn new techniques to support Enterprise Supply Chain initiatives
  • Supports the team in ensuring the data governance framework is maintained and aligned with ESC / enterprise
  • Assists the BIA team with delivery owners / teams with their requests for reporting / analysis to make business decisions on AP Spend, Supplier IRA, Cost Savings areas.
  • Look at all data source systems across ESC to ensure continuity of the data flow between applications.

Technical Skills/Proficiency
  • Experience extracting new and innovative insights from sophisticated, non-traditional, and/or large data sets
  • Demonstrated on-the-job experience with Data Analytics tools including SQL Developer, Python, MS Access, Advanced Excel
  • Strong SQL skills, ability to perform effective querying involving multiple tables and sub queries
  • Experience writing advanced code statements, models, and macros. Knowledge of various statistical software required, open source languages such as R or Python
  • Ability to integrate Python to Tableau to provide robust Analytical Dashboards on analytics insights and measurable outcomes
  • Experience with the enterprise data systems (Financial, CRM and others) Experience working in an Agile environment
  • Data visualization Tools including Tableau, Microsoft Power BI Predictive modeling, statistics, trend analysis, and other data analysis techniques to collect, explore, and identify the right data to be analyzed from internal and external sources
  • Proficient in working with large-scale business data sets, fluent in scripting and rapid prototyping skills

Keys to Success in this Role:

Employee should possess the following soft skills to be successful at this role:
  • Superb communication skills - verbal and written
  • Problem solving skills
  • Collaboration with Team members
  • Attention to Detail!
  • Research on top industry trends

Current Freddie Mac employees please apply through the internal career site.

Today, Freddie Mac makes home possible for one in four home borrowers and is one of the largest sources of financing for multifamily housing. Join our smart, creative and dedicated team and you'll do important work for the housing finance system and make a difference in the lives of others.

We are an equal opportunity employer and value diversity and inclusion at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by applicable law. We will ensure that individuals with differing abilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Notice to External Search Firms: Freddie Mac partners with BountyJobs for contingency search business through outside firms. Resumes received outside the BountyJobs system will be considered unsolicited and Freddie Mac will not be obligated to pay a placement fee. If interested in learning more, please visit and register with our referral code: MAC.

Time-type:Full time

Job Category:Data Management

FLSA Status:Exempt

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