Data Scientist - Houston, United States - SynMax

Description

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. 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.