Data Scientist - US

SynMax; Georgia; Remote; USD 100,000 - 125,000; Full time

Job summary

A data intelligence company is looking for an experienced Data Scientist to develop solutions for industry-disrupting analytics software. The role involves algorithm development, geospatial data analysis, and working with Google Cloud Platform. The ideal candidate has a PhD or MS in Computer Science and at least 2 years of relevant experience. You will enjoy competitive compensation and opportunities for professional growth in a dynamic environment.

Benefits

Competitive salary and benefits

Professional development opportunities

Dynamic and collaborative work environment

Qualifications

• 2 years minimum experience in a Data Scientist role.
• Hands-on experience building scalable data processing pipelines.
• Knowledge of geospatial data formats and related libraries.

Responsibilities

• Collaborate with analysts to translate business requirements into solutions.
• Design algorithms for information extraction from data sources.
• Perform exploratory data analysis and model training.

Skills

Machine learning application

Data processing pipelines

Geospatial data analysis

Algorithm development

Collaboration and communication

Education

PhD or MS degree in Computer Science

Tools

Google Cloud Platform

Python

Geopandas

TensorFlow

PostGIS

Job description

About SynMax:

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)
• 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.

Salary range: $100,000 - $125,000 a year

Equal Opportunity Statement:

SynMax is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or protected veteran status.