Job Description:
Well-capitalized start-up seeks extremely talented Data Scientist to help pioneer the development of remote sensing data science technology. You should have a propensity for understanding complex data sets and sources with an ability to extract and distill the data into actionable intelligence. You should have knowledge of machine learning libraries like Scikit-Learn, Keras, PyTorch or Tensorflow. You should be someone who is passionate about their career and wants to join a small and dedicated team of highly motivated developers and analysts. You should have a career history of exceeding expectations and coming up with novel ways to solve difficult problems.
Responsibilities
· Work on a variety of data-intensive problems using diverse data sets – including combinations of images, tabular data, time series and more specialized remote-sensing datasets like SAR and/or stereoimagery
· Work independently or in a team, be ready to share ideas, collaborate and learn.
· Understand the fundamentals of oil and gas production and trading
· Build and maintain data engineering pipelines, SQL databases, machine learning models, unit tests, code documentation and GCP-hosted client-facing services and API endpoints
· Communicate machine learning model results to team members and clients in clear, concise and quantitative terms
Preferred Skills
· Advanced knowledge of Python, Pandas and SQL
· Proficient in working with GCP tools and services
· Experience in data cleaning, model building and maintenance
· OOP (Object Oriented Programming).
· Experienced with geospatial data in Python, familiarity with GeoPandas.
· Proficiency with Git/Github or other distributed version control systems.
· Statistics fundamentals for analyzing uncertainty
· Proficiency in scikit-learn, Keras, Pytorch or Tensorflow – preferably scikit-learn + PyTorch
What We Offer:
Competitive salary and benefits package.
Opportunities for professional growth and development.
A dynamic and collaborative work environment.
How to Apply:
- Interested candidates should submit a resume with any relevant certifications or portfolio links to careers@synmax.com. SynMax is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.