Senior Data Scientist, IT

Bill & Melinda Gates Foundation

Posted: 8/31/2020

Position Type: Full-Time (Paid)

Function: Fundraising/Development

Primary domain: Foundation/Grantmaking

City: Seattle

Postal code: 98101

State: Washington

Country: United States

Organization Information:

Budget:

Not Available

Website:

Bill & Melinda Gates Foundation

Mission statement:

The Bill & Melinda Gates Foundation is dedicated to the belief that all lives have equal value. We're committed to creating a workplace where employees thrive both personally and professionally. We also believe our employees should reflect the rich diversity of the global populations we aim to serve-in race, gender, age, cultures and beliefs-and we support this diversity through all of our employment practices. 

Position Details:

Job Description:

Background
Are you passionate about delivering technology for data scientists and researchers who help improve the lives of people around the world? Are you interested in applying your Data Science and Analysis skills in partnership with our program teams to amplify the work being done at the Gates Foundation? If so, you might be a great fit for this exciting new role.

We are looking for a Senior Data Scientist to join our IT department's Data Science and Engineering team. The mission of our team is to enable data driven decisions across the foundation by ensuring that teams have access to reliable, reusable, and cataloged data in a discoverable and timely fashion to support achieving their goals that amplify the impact the foundation can have on the world.

Leadership and Culture
We believe that energized people, working well together, fueled by great leadership in an inclusive environment in which they thrive, will do phenomenal things.

Role Summary
The Senior Data Scientist will partner with our program teams to perform a thorough analysis of their needs with respect to data science workflows and processes while identifying functional and non-functional requirements for technology or process solutions. Additionally, they will utilize their skill set to develop data pipelines and analytics solutions as needed to support program teams. The role will create a strong partnership with business and technical teams to collaborate on application solutions with respect to value, quality and end-user experience. Through their work, they will develop subject matter expertise in how programmatic teams use data, applications, and platform functionality and features. Reports to: Senior Manager, IT, Data Science and Engineering

The ideal candidate is adept at manipulating, cleaning, and analyzing large datasets over multiple domains, and is experienced at using a variety of machine learning and statistical techniques to provide actionable insights. They must be comfortable with ambiguity and able to converse with stakeholders to understand data and business problems. They must also be proficient in one or more programming languages, and ideally have at least a passing familiarity with software tools and processes.

Core Responsibilities

  • Understand customer requirements for how programmatic data is used to make decisions. Includes process mapping, optimization, and technology enablement
  • Apply strong data science expertise and a systems analysis methodology to help guide solution analysis, working closely with both business and technical teams, with consideration of both technical and non-technical implications and trade-offs
  • Extract data from various data sources; perform exploratory data analysis, cleanse, massage, and aggregate data
  • Design, develop, and maintain large scale data processing pipelines to iteratively to provide insights at scale using cloud computing capabilities like Azure Databricks.
  • Use statistical, machine learning techniques to build models that address business needs while promoting and advocating for the value of advanced modeling techniques
  • Collaborate cross functionally with other data scientists, statisticians, and business analysts to define business problems and implement solutions.
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques.
  • Lead and own technical engagement with identified program teams, developing strong partnerships based on trust, transparency and delivery.
  • Help support day to day activities of the platform for customers support. This may include creating KB articles, updates to platform manuals and documentation, providing best practices and guidance, diagnostics of issues that are raised.
  • Organize or lead demos, user acceptance reviews while working with the technical team on the creation of design documents and artifacts
  • May drive the project management of smaller projects, lead responsibility for analysis work streams within projects of significant size or impact
  • Collaborate with others on the team and the program teams to delivery new, innovative solutions to the foundation data users by providing thought leadership while participation in data communities at the foundation.

Core Knowledge and Skills

  • Strong interpersonal and customer relationship skills, including the ability to adjust workstyle and communication to match an audience; across leadership, non-technical teams and data scientists
  • Ability to communicate to technology savvy customers and a strong understanding of data science workflows and practices.
  • Experience performing root cause analysis on a variety of data formats to answer specific business questions and identify opportunities for improvement
  • Deep data analysis experience working with both structured and unstructured datasets
  • Familiarity with custom development, open source products implementation, systems integration and Azure cloud capabilities
  • Business requirement elicitation techniques, options prioritization and analysis, translation to technical functional and non-functional requirements, solution design, test planning, change management, vendor management
  • Proven experience building processes supporting data transformation, data structures, metadata, dependency and workload management.
  • Experience with creating clear strategies, policies, procedures and system documentation
  • Experience with facilitating small teams, guiding work delivery and quality

As part of our standard hiring process for new employees, employment with the Bill and Melinda Gates Foundation will be contingent upon successful completion of a background check.

The Bill & Melinda Gates Foundation is dedicated to the belief that all lives have equal value. We're committed to creating a workplace where employees thrive both personally and professionally. We also believe our employees should reflect the rich diversity of the global populations we aim to serve-in race, gender, age, cultures and beliefs-and we support this diversity through all of our employment practices.

All applicants and employees who are drawn to serve the mission of the Bill & Melinda Gates Foundation will enjoy equality of opportunity and fair treatment without regard to:

  • Race
  • Color
  • Age
  • Religion
  • Pregnancy
  • Sex
  • Sexual Orientation
  • Disability
  • Gender Identity
  • Gender Expression
  • National Origin
  • Genetic Information
  • Veteran Status
  • Marital Status
  • Prior Protected Activity

JOB REQUIREMENTS:
<img height=1 width=1 border=0 src=https://gatesfoundation.contacthr.com/76589001.jpg />

To apply for this position, please copy and paste the following link into your browser address bar:
https://gatesfoundation.contacthr.com/76589001

Qualifications:

Education and Experience

  • Undergraduate degree with 7+ years of experience, or equivalent experience required
  • 5+ years of experience in a Data Science role, with a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field preferred
  • 5+ years working in a customer-facing role interacting with business users, Data Analysts, and Data Scientists
  • 5+ years using R or Python to manipulate data and draw insights from large data sets
  • Strong experience with Apache Spark to create and maintain distributed data processing pipelines
  • Proven track record of being part of a team delivering software solutions or services designed around customer needs
  • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) as well as advanced statistical techniques (regression, properties of distributions, statistical tests and proper usage, etc.) and their real-world advantages and/or drawbacks
  • A drive to learn and master new technologies and techniques. Strong problem-solving skills with an emphasis on data and domain exploration
  • Experience working in Azure or AWS for data science workload
  • Demonstrated delivery with an agile development methodology

*Applicants for this role will only be considered if they possess current US Work Authorization, and do not require employer-sponsored VISA support to begin or remain in this role.

Benefits:

Not Specified

Salary:

Commensurate with Experience

Posting Expiration Date:

10/30/2020

How to Apply:

To apply for this position, please copy and paste the following link into your browser address bar:
https://gatesfoundation.contacthr.com/76589001 


 

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