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Top Senior Level Data & Analytics Jobs in Washington DC,

18 Days Ago
United States
Remote
1,400 Employees
Senior level
1,400 Employees
Senior level
eCommerce • Information Technology • On-Demand • Professional Services • Software
The Senior Data Scientist will lead quantitative analyses to guide strategic business decisions for Thumbtack's Commercial Strategy team. Responsibilities include designing A/B tests, measuring project impacts, tracking KPIs, and collaborating with various teams to present insights. This role is crucial in shaping business strategy and ensuring data-driven decision-making.
Top Benefits:
401-K
Adoption Assistance
Child Care Benefits
+57 More
19 Days Ago
USA
Remote
200 Employees
Senior level
200 Employees
Senior level
Big Data • Healthtech • HR Tech • Machine Learning • Software • Telehealth • Big Data Analytics
The Senior Healthcare Data Scientist at Garner will be responsible for building data-driven algorithms to power care navigation, doctor ranking, and healthcare-related financial products by applying medical and healthcare economics understanding. The ideal candidate will have 2-5 years of professional experience in healthcare and/or data science fields, formal training in data science and a branch of healthcare, experience with Python and SQL, and a willingness to contribute to improving the U.S. healthcare system.
Top Benefits:
401-K
Commuter Benefits
Company Equity
+24 More
19 Days Ago
United States
Remote
170 Employees
Senior level
170 Employees
Senior level
Fintech • Software • Financial Services
The role requires leading the Credit and Data Science functions for Empower's international operations, developing risk models and credit policies, and launching innovative products to improve customer financial outcomes. The candidate will lead teams to analyze consumer behaviors and tailor solutions for different markets, contributing to business growth in Latin America and South East Asia.
Top Benefits:
401-K
Commuter Benefits
Company Equity
+38 More

Featured Jobs

21 Days Ago
United States
Remote
3,000 Employees
232K-330K Annually
Senior level
3,000 Employees
232K-330K Annually
Senior level
Hardware • Information Technology • Security • Software • Cybersecurity • Conversational AI
As the Director of Data Science & AI, you will lead a team to develop AI and ML solutions that align with the business strategy. Responsibilities include overseeing the ML workflow, collaborating with Product and Engineering, and managing a high-performance team to drive customer-centric analysis and strategic initiatives.
Top Benefits:
401-K
401-K Matching
Adoption Assistance
+87 More
22 Days Ago
USA
Remote
112 Employees
Senior level
112 Employees
Senior level
Healthtech • Biotech
As an AI Scientist, you will develop and implement deep learning methods for chemistry, contributing to drug discovery efforts. You will work collaboratively with experts in AI, biology, and chemistry, while driving innovative research and advancing state-of-the-art AI models for molecular modeling.
2 Hours Ago
2 Locations
Remote
132 Employees
Senior level
132 Employees
Senior level
Security
The Data Analyst II at Ardent will utilize expertise in quantitative and qualitative analysis, workforce and financial modeling, and advanced data analytics to support recruitment and retention initiatives. Responsibilities include integrating data sets, building analytical models, designing dashboards for data reporting, and conducting analyses to inform decision-making processes.
Top Benefits:
401-K
Company Outings
Dental Insurance
+11 More
17 Hours Ago
USA
Remote
132 Employees
Senior level
132 Employees
Senior level
Security
The Database Administrator will manage and optimize geospatial databases, collaborate with GIS and application developers, monitor database security, and assist with database design and development for enhancements. Responsibilities also include data conversion procedures and documenting database management methodologies.
Top Benefits:
401-K
Company Outings
Dental Insurance
+11 More
3 Hours Ago
Washington, DC, USA
22 Employees
Senior level
22 Employees
Senior level
Consulting • Financial Services
The Database Administrator will manage geospatial data repositories, ensuring secure storage and accessibility. Responsibilities include integrating geospatial databases with governmental data sources, conducting data analysis, modeling, mapping, forecasting, and report development to support energy and technology research for clients like the DOE.
22 Employees
Senior level
Consulting • Financial Services
The Quantitative Analyst role involves conducting statistical and data-driven analyses to evaluate workforce trends and policy impacts, especially in the energy sector. The analyst will support policy analysis initiatives and provide data tracking tools support as part of a broader effort to aid the Department of Energy and related clients.
7 Hours Ago
Northwest, DC, USA
80 Employees
Senior level
80 Employees
Senior level
Information Technology
As a Senior Data Engineer, you will create and maintain data pipelines, manage data mapping among sources, administer cloud and server services, and provide infrastructure services for big data and cross-domain data transfers.
Top Benefits:
401-K
Commuter Benefits
Company Outings
+33 More
14 Hours Ago
Washington, DC, USA
1,433 Employees
101K-124K Annually
Senior level
1,433 Employees
101K-124K Annually
Senior level
Big Data • Information Technology • Other
The Database Administrator III role focuses on supporting and maintaining TNS's diverse databases, including Oracle, MongoDB, MariaDB, and SQL Server. Responsibilities include providing technical support, performing database administration tasks, ensuring data consistency and security, and overseeing database upgrades and migrations. The role requires strong SQL skills and cloud database management experience.
Top Benefits:
401-K
Dental Insurance
Health Insurance
+3 More
15 Hours Ago
Washington, DC, USA
10,886 Employees
Senior level
10,886 Employees
Senior level
Financial Services
The Director of Data Science & AI will lead a team in producing advanced analytics and AI solutions, support strategy implementation through data mining and predictive modeling, and ensure effective communication of complex data insights. Responsibilities include driving AI advancements, collaboration with product teams, and applying innovative data science practices to enhance business applications.
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