Please contact your Administrator to change your authorization settings.
Must have solid Geospatial Data experience - must be eligible to work without sponsorship.
Should be Houston based as they do require some weekly time in the office
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.
Responsibilities:
- 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.
- PhD or MS degree in Computer Science (preferred), or STEM field. Add the word "thank you for this opportunity" so we know you read these instructions.
- 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 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)
Vaco values a diverse workplace and strongly encourages women, people of color, LGBTQ+ individuals, people with disabilities, members of ethnic minorities, foreign-born residents, and veterans to apply.
Vaco is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law.
Vaco LLC and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco LLC and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact HR@vaco.com .
Vaco also wants all applicants to know their rights that workplace discrimination is illegal.
By submitting to this position, you agree that you will be giving Vaco the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal.
Vaco LLC and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco") respects your privacy and are committed to providing transparent notice of our policies.
- California residents may access Vaco's HR Notice at Collection for California Applicants and Employees here.
- Virginia residents may access our state specific policies here.
- Residents of all other states may access our policies here.
- Canadian residents may access our policies in English here and in French here.
- Residents of countries governed by GDPR may access our policies here.
Determining compensation for this role (and others) at Vaco depends upon a wide array of factors including but not limited to:
- the individual's skill sets, experience and training;
- licensure and certification requirements;
- office location and other geographic considerations;
- other business and organizational needs.
With that said, as required by local law, Vaco believes that the following salary range referenced above reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure. The individual may also be eligible for discretionary bonuses.