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Data Scientist (Commodity)
Data Scientist (Commodity)SynMax • Houston, TX, US
Data Scientist (Commodity)

Data Scientist (Commodity)

SynMax • Houston, TX, US
Hace 17 días
Tipo de contrato
  • A tiempo completo
Descripción del trabajo

Job Description

Job Description

About SynMax :

  • Remote Opportunity

Based in Houston, Texas, with offices in London and New York, SynMax is a pioneering data intelligence company specializing in maritime and energy intelligence. By integrating advanced satellite imagery and AI, SynMax delivers unparalleled insights into maritime operations, oil and gas development, coal inventory, and LNG flows, enabling businesses and organizations to make data-driven decisions with precision and confidence.

Job Description :

We are seeking a talented Data Scientist with expertise in algorithm development, Google Cloud Platform, geospatial data analysis, and relational databases to join our team. As a Data Scientist at SynMax, you will play a leading role in developing solutions for industry disrupting analytics software. The ideal candidate will have experience with data fusion. To succeed in this role you will be highly motivated and adaptable to changing needs as our company grows.

Responsibilities

  • Collaborate with analysts and domain experts to understand business requirements and translate them into technical product solutions.
  • Design and implement probabilistic and deterministic algorithms for information extraction and fusion from a variety of remote sensing and proprietary data sources.
  • Perform exploratory data analysis for problem definition and refinement. Develop and test candidate algorithms to demonstrate tradeoffs for final selection.
  • Assemble and clean training and test datasets. Perform model training. Iterate to meet model performance requirements.
  • Develop and maintain Python-based applications for processing volatile live data streams on Google Cloud Platform.
  • Work closely with relational databases and execute complex queries to extract actionable insights from geospatial data.
  • Optimize application performance and scalability to ensure flawless operation under heavy load conditions.
  • Implement best practices for code quality, testing, and deployment automation in a continuous integration and deployment (CI / CD) environment.
  • Stay updated on emerging technologies and industry trends related to real-time data processing, algorithms, machine learning, geospatial analysis, and cloud computing.

    • Qualifications

  • PhD or MS degree in Computer Science (preferred), or STEM field.
  • Ability to apply machine learning, statistics, and optimization principles to problem solving. Experience in linear programming and graph based methods are a plus.
  • 2 years minimum experience in a Data Scientist role.
  • Hands-on experience building Google Cloud Platform highly scalable data processing pipelines for volatile live data streams.
  • Ability to take ownership of project tasks through to completion, producing positive outcomes despite unforeseen complexity.
  • Knowledge of geospatial data formats (e.g., GeoJSON, Shapefiles), libraries (e.g., Geopandas, GDAL, Fiona, Shapely) and spatial database query syntax (e.g., PostGIS)
  • Proficient in image processing, algorithm and machine learning libraries (SciPy, Pytorch, Tensorflow, Scikit-Image, Scikit-Learn, OpenCV)
  • The ability to work effectively in a team environment with remotely located staff in different time zones, demonstrating strong communication and coordination skills.

    • What We Offer

  • Competitive salary and benefits package.
  • Opportunities for professional development and career growth.
  • A dynamic and collaborative work environment where innovation is encouraged.
  • Access to the latest tools and technologies.

    • Equal Opportunity Statement :

    SynMax is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

    We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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