Senior Data Scientist, Analytics - Seattle, United States - Bill & Melinda Gates Foundation
Description
The FoundationWe are the largest nonprofit fighting poverty, disease, and inequity around the world.
Founded on a simple premise:
people everywhere, regardless of identity or circumstances, should have the chance to live healthy, productive lives. We believe our employees should reflect the rich diversity of the global populations we aim to serve.
We provide an exceptional benefits package to employees and their families which include comprehensive medical, dental, and vision coverage with no premiums, generous paid time off, paid family leave, foundation-paid retirement contribution, regional holidays, and opportunities to engage in several employee communities.
As a workplace, we're committed to creating an environment for you to thrive both personally and professionally.The Team
As part of the IT Enterprise Data Solutions department, the Analytics & Insights team's mission is to provide innovative data and analytics solutions that supports the strategic mission of the foundation, enables data-driven decision making across diverse operations and program teams, and ensures the responsible use of data following FAIR data management and enterprise data governance practices.
Working across the foundation, the Analytics & Insights team delivers data management, information visualization, and advanced analytics support across the foundation.
Leveraging advanced data analytics technologies to deliver knowledge and insights from data, the Analytics & Insights team supports all aspects of the philanthropic mission of the foundation.
Your Role
The Senior Data Scientist will partner with operations and program teams to support data analytics planning, perform data profiling and dimensional feature analysis, and follow a hypothesis-based approach to identify key insights and knowledge.
With a focus on project impact and value, this role will assist in understanding the key drivers of burden and opportunities, work with operations and program teams to identify data related to interventions and impact, and the resulting measures, findings, and evaluation metrics.
This role will develop and maintain positive relationships with business and technical teams to collaborate on analytics solutions and be a trusted specialist resource on data analytics project planning and data insights, identifying functional and non-functional requirements, and assist in technology and implementation planning for innovative data visualization, predictive modeling, and advanced analytics solutions.
What You'll Do
As the Senior Data Scientist on the Analytics and Insights team, your work will include:
Understand customer requirements for how program data is used to make decisions. Including process mapping, workflow optimization, and technology enablement.
Assist operations and program teams in analytics strategy planning, technical architecture, and ensure teams follow standard processes regarding legal and information security policies.
Apply strong data science expertise and 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, transform, and aggregate data.Use statistical, machine learning techniques to build models that deliver business needs while promoting and demonstrating the value of sophisticated analytics techniques.
Collaborate cross functionally with other data scientists, statisticians, and business analysts to identify business data problems and implement effective solutions.
Assess the efficiency and accuracy of new data sources and optimize data gathering techniques.Lead and own technical engagement with identified program teams, developing positive relationships based on trust, visibility and delivery.
Coordinate and lead demos, user acceptance reviews while working with the technical team on the creation of design documents and artifacts.
May drive the project delivery of smaller projects, lead responsibility for multiple analysis work streams within projects of significant size and impact.
Collaborate with other staff and program teams to deliver new, innovative solutions to the foundation data users by providing thought leadership while facilitating participation in data communities at the foundation.
Your ExperienceMaster's degree in data science, Data Engineering, Mathematics, Computer Engineering, Statistics, or related field, or equivalent working experience.
5+ years of experience in a Data Science role, with sophisticated work 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.
Experience with Databricks for collaborative data science development workspaces and notebook-driven scripting is a plus.
Proven track record of being part of a team delivering software solutions or services crafted around customer needs.
Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) as well as sophisticated statistical techniques (regression, properties of distributions, statistical tests and accurate usage, etc.) and their real-world advantages and/or drawbacks.
A strive to learn and master new technologies and techniques. Strong problem-solving skills with an emphasis on data and domain exploration.Experience working in cloud environments for data science workloads.
Proven experience in project delivery with an agile development methodology.
Must be able to legally work in the country where this position is located without visa sponsorship.
The typical salary range for this role is $101,800 to $188,100 USD.
The exact offer will be determined by a variety of factors such as the candidate's individual skills, qualifications, and experience relative to the requirements of the role.
Hiring Requirements
As part of our standard hiring process for new employees, employment will be contingent upon successful completion of a background check.
If you require assistance due to a disability in the application or recruitment process, please submit a request here.
Inclusion Statement
We are dedicated to the belief that all lives have equal value.
We strive for a global and cultural workplace that supports ever greater diversity, equity, and inclusion — of voices, ideas, and approaches — and we support this diversity through all our employment practices.
All applicants and employees who are drawn to serve our mission 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, and prior protected activity.