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Manager Streamlit Jobs in Texas (NOW HIRING)

$87K - $132K/yr

Streamlit * AWS - hands on use with AWS including but not limited to the following - * S3 * EC2 * SQS/SNS * Lambda * Secret Manager * Glue * Airflow * SQL development for Snowflake, Oracle, SQL ...

A familiarity with solution-based approach to selling, have experience managing a complex sales process and possess excellent presentation and listening skills, organization and contact management ...

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Senior Developer

Dallas, TX · On-site

$54 - $71.25/hr

Working experience with Streamlit libraries to build custom dashboards * Experience in working with ... Strong Problem-solving skills, with the ability to manage priorities, set expectations to get ...

Senior Python Developer

Dallas, TX · On-site

$120K - $161K/yr

Working experience with Streamlit libraries to build custom dashboards * Experience in working with ... Strong Problem-solving skills, with the ability to manage priorities, set expectations to get ...

Senior Developer

Dallas, TX · On-site

$54 - $71.25/hr

Working experience with Streamlit libraries to build custom dashboards * Experience in working with ... Strong Problem-solving skills, with the ability to manage priorities, set expectations to get ...

Solutions Engineer

Houston, TX · On-site +1

$200K - $215K/yr

Proficient with data analytics, visualization, data management, and predictive modeling tools: * Python proficiency (Pandas, scikit-learn, Plotly, Streamlit, Flask, etc) * Javascript and front-end ...

Solutions Engineer

Houston, TX · On-site +1

$200K - $215K/yr

Proficient with data analytics, visualization, data management, and predictive modeling tools: * Python proficiency (Pandas, scikit-learn, Plotly, Streamlit, Flask, etc) * Javascript and front-end ...

Solutions Architect

Houston, TX · On-site

$60.25 - $79.25/hr

Manage and maintain Azure‑based app services for the Data Science team. * Oversee Jenkins task ... TypeScript * Streamlit * Strong SQL skills * Experience integrating web apps with ML models

Knowledge of Streamlit for building interactive data applications preferred * Familiarity with MLOps practices, CI/CD pipelines, and model lifecycle management * Demonstrated ability to drive ...

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Showing results 1-20

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.

What are the most commonly searched types of Streamlit jobs in Texas? The most popular types of Streamlit jobs in Texas are:
What cities in Texas are hiring for Manager Streamlit jobs? Cities in Texas with the most Manager Streamlit job openings:
Quant Analyst - Commodities (Oil)

Quant Analyst - Commodities (Oil)

Verition Group LLC

Houston, TX

Other

Posted 15 days ago


Job description

Verition Fund Management LLC ("Verition") is a multi-strategy, multi-manager hedge fund founded in 2008.  Verition focuses on global investment strategies including Global Credit, Global Convertible, Volatility & Capital Structure Arbitrage, Event-Driven Investing, Equity Long/Short & Capital Markets Trading, and Global Quantitative Trading.

We are seeking a quantitative researcher to join a world class commodities trading team. This role is focused on building and enhancing data, analytics, and quantitative tools that support discretionary trading decisions. The ideal candidate combines strong coding and statistical foundations with practical experience applying machine learning and early-stage AI techniques to real-world problems. Prior exposure to crude oil markets is strongly preferred.

Responsibilities:

  • Develop and maintain Python-based research, analytics, and data pipelines to support trading and market analysis.
  • Design and manage databases and structured data workflows, including SQL-based querying and cloud-hosted data solutions.
  • Build dashboards and interactive tools (e.g., Streamlit) to visualize market data, signals, and risk metrics for the trading desk.
  • Apply statistical techniques and machine learning methods to analyze historical and real-time market data.
  • Contribute to the development and refinement of quantitative signals and core strategies used in commodities trading.
  • Explore and implement practical AI applications, including NLP and neural network-based approaches, where relevant to the trading process.
  • Work closely with the trader to prioritize projects, translate trading intuition into quantitative frameworks, and iterate quickly.

Qualifications:

  • Python (minimum 3+ years of professional experience; required) for data analysis.
  • Prior experience in commodities markets, particularly oil, is strongly preferred.
  • Git / version control (required).
  • Solid applied statistics (e.g., linear and logistic regression, autocorrelation, time-series concepts).
  • Machine learning fundamentals and common tools (e.g., SVMs, model evaluation best practices).
  • SQL and relational databases (e.g., Snowflake).
  • Dashboarding and data visualization (ideally Streamlit).
  • Cloud platforms (AWS, Azure, or similar).
  • Experience working with large, noisy, real-world datasets.
  • Strong conceptual understanding of NLP and neural networks.
  • Motivated to build tools and research that directly impact P&L.