Data Scientist III

About AccuWeather 

AccuWeather, recognized and documented as the most accurate and most used source of weather forecasts and warnings in the world, has saved over 12,000 lives, prevented injury to over 100,000 people, and saved companies tens of billions of dollars through better planning and decision-making.

Billions of people around the world rely on AccuWeather’s proven Superior Accuracy™ across our consumer digital platforms. AccuWeather.com is the #1 weather destination and one of the top 100 most-visited websites in the world, and our award-winning AccuWeather app delivers detailed real-time forecasts to millions of smartphones.

AccuWeather forecasts also appear on digital signage, in 700 newspapers, are heard on over 400 radio stations, and viewed on 100 television stations. The AccuWeather Network and AccuWeather NOW® reach an audience of over 125 million on cable and streaming platforms including DirecTV, Charter Communications - Spectrum, Verizon, Philo, Frndly TV, Comcast’s Xfinity X1 and Xfinity Stream, Roku, Xumo, Rockbot, LG, and Amazon Freevee.

AccuWeather For Business serves more than half of the Fortune 500 companies and thousands of other businesses and government agencies globally.

Dr. Joel Myers, Founder and Executive Chairman, established AccuWeather in 1962 and is considered the “father of modern commercial meteorology.” Myers, a leading creative thinker and visionary, has been called “the most accurate man in weather” by The New York Times and has been recognized as one of the top entrepreneurs in American history by Entrepreneur’s Encyclopedia of Entrepreneurs. 

Position Summary

AccuWeather is looking for an experienced Data Scientist III to help push the boundaries of weather prediction and atmospheric data science. In this role, you’ll develop advanced models and analytics to better forecast severe weather, tropical storms, and high-impact events—turning massive datasets into insights that power decisions across industries like retail, energy, and advertising.

As a senior contributor, you’ll not only build and refine innovative solutions but also mentor teammates, lead cross-functional projects, and present groundbreaking work to stakeholders and the scientific community. This is a unique opportunity to combine your expertise in meteorology, data science, and programming with AccuWeather’s unparalleled weather archives to make a global impact.

If you’re passionate about solving complex problems, advancing atmospheric science, and seeing your work directly influence how the world prepares for and responds to weather, we want to hear from you.

Key Responsibilities

• Develop and enhance meteorological models and datasets and models leveraging AccuWeather’s extensive data archives to better predict weather phenomena including severe weather from hail swaths, tropical storm paths, and convective wind events 

• Analyze, interpret, and validate model results to inform data teams of areas for improvements, ensuring high accuracy and reliability 

• Present findings to internal and external stakeholders, highlighting the why behind the analysis and how it benefits AccuWeather and AccuWeather data users  

• Support data operations and data engineering on feature extraction, transformation and loading (ETL) from various sources, optimizing for efficiency and meteorological consistency 

• Lead cross-departmental initiatives that provide insights to support a diverse range of business applications across different industry sectors, such as retail, advertising, energy, etc.  

• Mentor and guide other Data Scientists and ML Engineers, fostering a collaborative and inclusive team environment  

• Advance the field of atmospheric data science through original research, peer-reviewed publications, and active participation in scientific conferences and professional communities    

Qualifications

• 5+ years of experience in applying advanced meteorological algorithms, models, or similar technologies to support a wide range of weather-impacted applications, with a strong emphasis on operational forecasting, severe weather analysis, or climate data science 

• Demonstrated success in leading and executing large-scale meteorological projects ideally in a production or enterprise environment 

• Expert-level proficiency in meteorological datasets and analytical techniques including data mining, transformation, and verification, with hands-on experience in remote sensing data such as satellite or radar and observational networks 

• Advanced knowledge or programming languages (Python, SQL, C++) for sophisticated analysis and model implementation  

• Familiarity with big data technologies (Spark preferred) to hand and analyze large datasets efficiently  

• Proven abilities to translate complex business requirements into innovative and effective weather-data-driven solutions  

• Exceptional communication skills, with the ability to collaborate with multidisciplinary teams and convey complex concepts to non-experts clearly and effectively  

• Strong presentation skills to articulate findings and insights to senior management and external stakeholders  

Commitment to Diversity & Inclusion 

AccuWeather is proud to be an Equal Opportunity/Affirmative Action Employer. We are committed to equal employment opportunity to all applicants and existing employees and we evaluate qualified applicants without regard to race, creed, color, national origin, sex (including pregnancy and gender identity/expression), sexual orientation, age, ancestry, physical or mental disability, marital status, political affiliation, religion, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law. View the EEO is the Law poster here and its supplement here. The pay transparency policy is available here.   

AccuWeather is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to [email protected] and let us know the nature of your request and your contact information.