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Job Type
Full Time -
Experience
2-4 year -
Salary
$120,000 - $190,000 / Year -
Location
United States -
Job Function
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Industry
Information Technology -
Qualification
Key Skills
Java Programming, Python Programming, SQL, Keras software library, PyTorch, TensorFlow, R Programming
Job Description
The Weather and Climate Center of Competency (CoC) is a global team of senior meteorologists, data scientist and engineers, full stack developers, and industry SMEs that uncover the business value related to weather and climate. Our mission is to provide best-in-class consulting services and managed solutions to help clients uncover actionable insights using AI and analytics to analyze weather and climate data in order to mitigate risk, optimize readiness, improve operational decision making and provide situational awareness across weather (daily to seasonal) and climate (annual to decadal) timescales.
As former IBM CEO Lou Gerstner said “You don’t get points for predicting rain. You get points for building arks” – we are the team building the arks for our clients.
As a Meteorological Data Scientist at IBM, you will leverage your quantitative analytic and meteorological skill sets to drive positive business outcomes for IBM clients. You will have an opportunity to join a tight-knit and highly motivated team with a proven track record of consistent excellence in client deliveries. In this role you will substantially contribute to the planning and execution of technical projects across all industry verticals. Working with other consultants in the CoC, you will deploy your technical skillset to identify and process the most appropriate meteorological, geospatial and land surface data sets for a particular project. Drawing upon your meteorological knowledge, you will be prepared to infer hypotheses from the data about key relationships between these data and business metrics. You will be able to apply statistical analysis and machine learning to develop models and will help deploy these models to production. You will be capable of clearly communicating your findings to clients.
Your Role and Responsibilities
- Leverage your meteorological and quantitative skillset to assist IBM consultants deliver customized solutions for individual clients and their use cases.
- Partner with client-facing GTM teams – supporting their early client engagements and business development
- Develop and maintain a depth of domain and practice expertise capable of co-creating and shaping solutions that address client business outcomes challenges
- Ensure solutioning standards, models, best practices, and expertise are applied to all >$1M solutions – from simple, templated solutions to our most complex, multidiscipline solutions – to ensure the E2E integrity of the solution
- Acquire, clean, transform and visualize atmospheric data using a variety of open-source tools and programming languages.
- Develop custom meteorological applications that consume meteorological, third-party and proprietary data streams.
- Apply data science and machine learning to develop weather-informed insights for client applications.
- Configure and run NWP simulations when necessary using WRF and/or MPAS in support of client operations.
- Integrate various geospatial data sets that reside in IBM’s proprietary PAIRS platform into meteorological analyses and client deliverables.
Required Technical and Professional Expertise
- Masters or PhD in meteorology, atmospheric sciences or closely related fields of specialization.
- Proficiency in at least one open-source programming language, preferably Python and/or R.
- Proficiency with computing in a linux environment using cloud infrastructure.
- Demonstrable substantial knowledge of atmospheric, oceanic, hydrographic and earth surface data sets and the most common formats and data models (e.g., GRIB, NETCDF, HDF5), including the relative trade-offs involved in their use. You should understand the relative strengths and weakness of observational, satellite-derived data, quantitative precipitation data sets, reanalyses, numerical weather prediction grids.
- Experience manipulating these datasets using a variety of open-source software environments, including creating complex multivariate visualizations and data transformations.
- Solid foundation in applied statistics, data science and machine learning, including various genres of supervised and unsupervised learning.
- A high degree of comfort configuring and running community NWP models in an HPC and/or cloud environment.
- A desire to leverage your skills to help clients capture opportunity and protect against loss from weather.
- Experienced in Testing, Debugging, Issue tracking using collaboration tools such as Git or JIRA, following Agile methodology.
- Self-driven, can identify him/herself with the project and proactively take initiative – Team-Player.
- Strong verbal and written communication skills in English.
- Ability to document his/her own work for the team and the community.
Preferred Technical and Professional Expertise
- Familiarity and capability with a Python-xarray-dask stack leveraging distributed cloud computing resources for fast access and pre-processing of climate and numerical weather prediction grids as described at https://pangeo.io/.
- Familiarity with open-source GIS computational packages, such as geopandas and/or cartopy in Python and/or sf, brick, leaflet and raster in R.
- Computer Vision or Geospatial Analytics domain knowledge.
- Experience in Full-stack development (backend and front-end)
- Ability to code and deploy deep learning applications using Tensorflow, PyTorch, Keras or similar ecosystems.
- Excellent oral and written communication skills, especially in conveying complex technical topics to non-technical personnel.
- Completed projects demonstrating the aforementioned skills.
Company Info.
IBMIBM is a leading cloud platform and cognitive solutions company. Restlessly reinventing since 1911, we are the largest technology and consulting employer in the world, with more than 290,000 employees serving clients in 177 countries. IBM Research provides unparalleled insight into business, industry and society by leveraging advanced computing architectures and methodologies to solve some of the world’s most pressing challenges.
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IndustryInformation Technology,Computer software,Computer hardware
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No. of Employees292,500
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LocationNew Orchard Road, Armonk, New York, NY 10504, USA
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Website
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