Demo

Fullstack Engineer - Dash Plotly & Python

QUANTEAM - North America (RAINBOW PARTNERS Group)
Houston, TX Full Time
POSTED ON 4/23/2025
AVAILABLE BEFORE 5/16/2025

As the founding entity of RAINBOW PARTNERS, Quanteam is a consulting firm specializing in the fields of Banking, Finance, and Financial Services. Guided by our core values of closeness, teamwork, diversity, and excellence, our team of 1,000 expert consultants, representing 35 different nationalities, collaborates across 10 international offices : Paris, Lyon, New York, Montreal, London, Brussels, Geneva, Lisbon, Porto and Casablanca.

Description

We are seeking an experienced Fullstack Data Scientist with a strong background in Python and React to support our client's high-frequency energy trading analytics initiatives. You will be responsible for developing interactive dashboards using Dash Plotly and delivering insightful analytics to drive data-informed decisions.

Key Responsibilities :

  • Develop and maintain high-performance dashboards using Dash Plotly to visualize high-frequency energy trading data.
  • Build scalable backend services and APIs using Python to process and analyze large datasets.
  • Design and implement intuitive frontend components using React for data presentation and user interaction.
  • Collaborate with stakeholders to understand business needs and translate them into actionable analytics solutions.
  • Perform exploratory data analysis (EDA) and statistical modeling to generate insights.
  • Optimize data pipelines for real-time or near-real-time analytics.
  • Ensure data accuracy, integrity, and security across all stages of the analytics pipeline.
  • Document workflows, models, and processes for knowledge sharing and reproducibility.

Required Qualifications :

  • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.
  • Minimum of 5 years of experience in data science, with a focus on fullstack development for analytics solutions.
  • Expertise in Dash Plotly for building interactive dashboards and visualizations.
  • Proficiency in Python and experience with libraries such as Pandas and NumPy.
  • Strong frontend development skills with React, including component-based architecture and state management.
  • Experience working with high-frequency time-series data and real-time data processing.
  • Solid understanding of statistical analysis, machine learning techniques, and data visualization best practices.
  • Experience building and maintaining APIs (e.g., REST, FastAPI, Flask).
  • Familiarity with AWS and containerization technologies (e.g., Docker, Kubernetes).
  • Strong problem-solving skills, attention to detail, and the ability to work independently and within a teams
  • Preferred Qualifications :

  • Experience in the energy trading or financial markets sector.
  • Knowledge of real-time streaming technologies (e.g., Kafka, Redis, WebSockets).
  • Familiarity with SQL and NoSQL databases.
  • Experience with CI / CD pipelines and version control (e.g., Git, GitHub, GitLab).
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