| 100% remote : Immediate Hire : Data Scientist : NO USC GC THROUGH VENDOR , W2 FINE H1B FINE THROUGH C2C at Fine, New York, USA |
| Email: [email protected] |
|
Hi , I hope this message finds you well. We have an exciting Data Scientist opportunity that aligns with your skills and experience. Please share your updated resume if you're interested. NO USC GC THROUGH VENDOR , W2 FINE H1B FINE THROUGH C2C Position: Data Scientist Openings: 1 Location: 100% Remote Duration: 12+ months Key Responsibilities: Identify, acquire, prototype, and analyze weather and climate data products. Test the performance of new weather data sources for existing applications. Analyze and inform investments in weather data and station/IOT networks. Develop QA and data transformation algorithms. Test and utilize short-term and seasonal forecast products to extend the time horizon of decision models. Integrate these products into decision support solutions that address customer and business needs. Develop, prototype, and implement weather data pipelines and software solutions with engineering and production teams. Document and communicate approaches to improve decisions, add value to services, and extend or improve in-house models and algorithms. Desired Qualifications: M.S. or Ph.D. in Meteorology, Atmospheric Science, or a related field. Expert-level programming skills in Python. Familiarity with Git-based CI/CD workflows for data science project management and reproducible research. Experience working with HPC or cloud computing technologies for big data and large compute jobs (AWS preferred). Experience working with highly multivariate spatio-temporal data sets. Proficiency in SQL and familiarity with lakehouse technologies. Experience building visualizations of scientific data. Preferred Skills: Strong analytical and problem-solving skills. Excellent communication and teamwork abilities. Ability to work independently and manage multiple tasks effectively. Familiarity with modern data science tools and practices Job Description: We are seeking a highly skilled Data Scientist to provide scientific, analytical, and decision support for key questions around enhancements to our weather data systems, networks, and APIs. The ideal candidate will apply spatiotemporal data science and engineering tools to evaluate new weather data sources and use our data lakehouse technologies to deliver new environmental and weather data products and automations. Highlighted Notes! Highlight Scientific Questions: Emphasize the importance of addressing scientific questions related to weather data. This includes evaluating new weather data products and their potential to improve existing systems. Capital Investment: Mention the recent capital investment aimed at scaling capabilities. This will involve both ad hoc tasks and strategic planning for weather data systems. Transition to New Data Products: Explain the transition to new weather data products, which differ from existing ones. Highlight the need to assess whether these new data sources will genuinely enhance forecast accuracy. Strong Python Developers: Stress the requirement for candidates to be highly proficient in Python development. QA and CI/CD Pipelines: Indicate that QA processes will be integrated into CI/CD pipelines to ensure automation testing. Git will be used to facilitate these CI/CD workflows. Scientific Methodology: Candidates should be able to answer scientific questions using data science methodologies to support advancements in weather data systems. Raster Data: Note that the role involves working with raster data, which is typically spatiotemporal weather data. Lakehouse Technologies: Specify the use of lakehouse technologies like Trino and Dagster for data warehousing and automation. This is a key part of the strategy to develop data products that serve various use cases, leveraging APIs for weather data. Would you be open to discussing this further Let me know a good time to connect, or feel free to share your updated resume. Looking forward to hearing from you! Thanks, _______________________________________ Aditya Jain | New York Technology Partners 120 Wood Avenue S | Suite 504 | Iselin NJ 08830 E-MAIL : [email protected] Linkedin : linkedin.com/in/aditya-jain-india | | www.nytp.com We respect your online privacy. If you would like to be removed from our mailing list please reply with "Remove" in the subject and we will comply immediately. We apologize for any inconvenience caused. Please let us know if you have more than one domain. The material in this e-mail is intended only for the use of the individual to whom it is addressed and may contain information that is confidential, privileged, and exempt from disclosure under applicable law. If you are not the intended recipient, be -- Keywords: continuous integration continuous deployment quality analyst active directory information technology green card wtwo New Jersey 100% remote : Immediate Hire : Data Scientist : NO USC GC THROUGH VENDOR , W2 FINE H1B FINE THROUGH C2C [email protected] |
| [email protected] View All |
| 07:52 PM 29-Jan-25 |