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Manager Streamlit Jobs in Washington, DC (NOW HIRING)

Tetra Tech

Machine Learning Engineer - Remote

Vienna, VA · On-site

$120 - $180/hr

Monitor production models for accuracy, drift, and latency; manage retraining schedules. * Work ... Experience building and deploying interactive UIs for AI models using Streamlit, Gradio, or similar ...

Halvik

Machine Learning Engineer - Remote

Vienna, VA · On-site +1

$140K - $150K/yr

Monitor production models for accuracy, drift, and latency; manage retraining schedules. Data ... Experience building and deploying interactive UIs for AI models using Streamlit, Gradio, or similar ...

Halvik

Machine Learning Engineer - Remote

Vienna, VA · On-site

$140K - $150K/yr

Monitor production models for accuracy, drift, and latency; manage retraining schedules.Data ... Experience building and deploying interactive UIs for AI models using Streamlit, Gradio, or similar ...

Axle

Senior Full Stack Developer

Rockville, MD · On-site

$120K - $145K/yr

With experts in biomedical science, software engineering, and program management, we focus on ... Streamlit, Solara, etc...) * Experience with the following: * Node.js * Angular 19+ * NoSQL ...

Axle

Senior Full Stack Developer

Rockville, MD · On-site

With experts in biomedical science, software engineering, and program management, we focus on ... Streamlit, Solara, etc...) * Experience with the following: * Node.js * Angular 19+ * NoSQL ...

Axle

Data Scientist II

Rockville, MD · On-site

With experts in biomedical science, software engineering, and program management, we focus on ... Build and support interactive dashboards (Shiny, Streamlit), notebooks, reports, and APIs enabling ...

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Showing results 21-40

All JobsStreamlit JobsManager Streamlit JobsManager Streamlit Jobs in Washington, DC

Manager Streamlit information

What is the difference between Manager Streamlit vs Data Analyst?

AspectManager StreamlitData Analyst
Required CredentialsBachelor's degree in CS, Data Science, or related field; experience with Streamlit and project managementBachelor's degree in Statistics, Data Science, or related field; proficiency in data analysis tools
Work EnvironmentCollaborative teams, project-based, tech-focusedData-focused, reporting, and insights generation
Employer & Industry UsageTech companies, startups, data-driven organizationsBusiness, finance, healthcare, and marketing sectors

The main difference is that a Manager Streamlit oversees the development and deployment of data apps using Streamlit, managing teams and projects, while a Data Analyst focuses on analyzing data, generating reports, and providing insights. Both roles require technical skills, but the Manager Streamlit role emphasizes project management and app development leadership.

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Manager Streamlit jobs near you

Data Scientist with active TS/SCI with FSP

Red Rock Government Services

Mclean, VA • On-site

Full-time

Medical, Retirement, PTO

Re-posted 20 days ago

Job description

Red Rock Government Services is a leading software engineering company recognized for its exceptional support to the intelligence community. With a proven track record of delivering innovative and mission-critical solutions, Red Rock specializes in developing secure, scalable, and cutting-edge technologies tailored to meet the complex needs of intelligence operations. The company's expertise in advanced analytics, cloud computing, and artificial intelligence enables it to empower agencies with enhanced decision-making capabilities and operational efficiency. Red Rock's commitment to excellence, agility, and collaboration solidifies its reputation as a trusted partner in safeguarding national security and advancing intelligence objectives.

This position requires a current and active TS/SCI with Full Scope Polygraph security clearance. This position does not have the ability to sponsor candidates for clearance processing.

RedRock is seeking a Data Scientist to support a high-priority mission, leveraging expertise in data science, graph databases, and cloud systems. This role involves processing and modeling complex technical data, building custom tools, and developing data pipelines across diverse environments to meet fast-paced targeting and analytics requirements.

Responsibilities:

  • Translate the Sponsor's mission needs into actionable data science milestones.
  • Develop and manage ETL pipelines for data processing.
  • Deliver ad hoc training on custom tools and data exploitation aligned with use cases.
  • Build user-facing tools using technologies like Python, Neo4J, and Streamlit, incorporating advanced data science methods.
  • Integrate Sponsor-provided LLMs to enhance data science workflows.
  • Identify and improve emerging data workflows to support the Sponsor's mission.
  • Utilize big data and coding platforms to execute data management goals.
  • Be available for occasional CONUS/OCONUS travel as directed.

Qualifications:

  • Expertise in data exploitation and enrichment using tools like ElasticSearch and Neo4j.
  • Proven experience with complex ETL pipelines (NiFi, Pentaho), batch processing, and data streaming workflows.
  • Experience applying unsupervised machine learning to solve complex customer problems.
  • Proficient in Python and graph databases, with the ability to query across sensitive, multi-repository big data environments.
  • Strong background in backend software engineering, scientific computing, and relevant programming languages.

Highly Desired Skills & Experience

  • Proven success in delivering Sponsor mission outcomes and scaling capabilities to production.
  • Experience leading advanced data science teams and implementing ML solutions.
  • Familiarity with collaborating across domestic and international Sponsor partners.
  • Skilled in custom algorithm development and advanced graph database queries.
  • Effective in high-paced, operational environments.

Pay and Benefits:

Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Paid Leave and Retirement.

Commitment to Diversity:

All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law.

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