Meteorological Data Scientist

Macquarie Group Limited

Houston, TX

Job description

We are a leading energy trading and investment firm currently expanding our weather analytics program to support high-stakes decisions in natural gas, power, and commodity markets. Our goal is to ingest, integrate, and continuously evaluate traditional numerical weather prediction models (GFS, HRRR, GEFS, ECMWF) as well as emerging AI-driven solutions (GraphCast, GenCast, NeuralGCM, and those to come). Leveraging the Pangeo ecosystem—including Xarray, Dask, and Zarr—we will efficiently store and process massive atmospheric datasets, making them readily available for real-time, customized analyses ensuring real-time, high-quality information for our traders.

At Macquarie, our advantage is bringing together diverse people and empowering them to shape all kinds of possibilities. We are a global financial services group operating in 34 markets and with 55 years of unbroken profitability. You’ll be part of a friendly and supportive team where everyone - no matter what role - contributes ideas and drives outcomes.

What role will you play?

As our Meteorological Data Scientist, you will develop comprehensive verification and validation frameworks that benchmark both established and emerging weather models. In concert with the Meteorological Data Engineer, you’ll ensure that forecast data—ranging from short-term, high-resolution ensembles to multi-week or seasonal outputs—is properly analyzed for skill, bias, and potential trade implications. You’ll derive complex events from the underlying basic model output variables and craft reliable probabilistic assessments that feed directly into the strategies of our gas, power, and commodities traders, empowering them to react quickly and confidently to ever-shifting market and weather conditions.

What you offer

5+ years in atmospheric science, data science, or a related field, with hands-on experience building probabilistic forecast evaluation systems
Deep understanding of the various types of variables to be scored (continuous, binary, etc) and the correct metrics to evaluate for each of those variable types
Solid grounding in probability theory, statistical inference, and proper scoring. Have experience evaluating the reliability of probabilistic forecast models, and knowledge of various calibration methodologies
Proficiency in Python and Pangeo tools (xarray, Dask, Zarr) on AWS (S3, EC2, Docker) for large-scale atmospheric data analysis is highly desired, familiarity with DevOps practices a plus
Strong communication skills for translating complex meteorological findings into clear, actionable insights for diverse trading desks.

We love hearing from anyone inspired to build a better future with us, if you're excited about the role or working at Macquarie we encourage you to apply.

About Commodities and Global Markets

Commodities and Global Markets is a global business offering capital and financing, risk management, market access, physical execution and logistics solutions to its diverse client base across Commodities, Financial Markets and Asset Finance.

Benefits

Macquarie employees can access a wide range of benefits which, depending on eligibility criteria, include:

Hybrid and flexible working arrangements
One wellbeing leave day per year and minimum 25 days of annual leave
Primary caregivers are eligible for 20 weeks paid leave along with 12 days of transition leave upon return to work and 6 weeks paid leave for secondary caregivers
Paid volunteer leave and donation matching
Range of benefits to support your physical, psychological and financial wellbeing
Employee Assistance Program, a robust behavioural health network with counselling and coaching services
Recognition and service awards

Our commitment to diversity, equity and inclusion

We are committed to providing a working environment that embraces diversity, equity and inclusion. As an inclusive employer, Macquarie provides equal opportunities to all individuals regardless of race, color, religion, sex, sexual orientation, national origin, age, disability, protected veteran status, genetic information, marital status, gender identity or any other impermissible criterion or circumstance.

Our aim is to provide reasonable accommodations to individuals who may need support during the recruitment process and through working arrangements. If you require additional assistance, please let us know during the application process.

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