Data Scientist
Remote, NY
DTN is a global leader providing insights and analytics to our customers to feed, fuel, and protect the world. We help people make critical business decisions that impact the agriculture, oil and gas, trading, and weather industries.
It’s a difference you’ve likely felt without even knowing it. From the food on your plate to the gas in your car to the last flight you took, chances are a DTN customer made it possible. And that’s just for starters. That’s why we say, “When our customers prosper, we all win.”
Job Description:
Collaborate with domain experts to understand requirements and translate them into actionable data science tasks
Learn from industry experts already at DTN
Conduct exploratory data analysis to identify trends, patterns, and anomalies in relevant datasets, including weather and Earth-observing satellite data, data from weather, energy, and agricultural modeling systems, and data from governmental sources such as the USDA, DOE, EIA, NOAA, and NASA
Identify and implement novel ways of integrating varied informational resources to fill in critical gaps in the data that are available for solving a particular problem
Develop and implement innovative machine learning models for classification, localization, prediction, and change detection
Develop data visualization tools and dashboards to communicate findings and insights to stakeholders
Apply satellite data in combination with other data resources and models to extract meaningful insights related to weather, agriculture, and energy
Conduct spatiotemporal analyses and build models to identify and forecast weather-related risks such as droughts, floods, and storms
Stay updated with the latest advancements in satellite imagery analysis, machine learning, and data science techniques
What you can expect from DTN:
Competitive Salary
Unlimited PTO
Flexible working hours
Remote work model (position dependent)
Competitive Medical, Dental and Vision Insurance Plans
6% 401K matching
Unlimited access to 13k+ courses via learning platform to support employee career advancement
Employee Assistance Program (EAP)
The targeted hiring base pay range for this position is between $63,750 and $85,000. DTN is a pay for performance organization, which means there is the opportunity to advance your compensation with performance over time. The actual base pay offered for this position will be dependent upon many factors, including but not limited to: prior work experience, training/education, transferable skills, business needs, internal equity and applicable laws. The targeted hiring base pay range is subject to change and may be modified in the future. This role may also be eligible for market competitive variable pay and benefits.
#LI-REMOTE
#LI- JW1
Why DTN?
OUR VISION: To be the independent, trusted source of insights to our customers who feed, protect, and fuel the world.
OUR MISSION: Empower our customers with intelligent and actionable insights that exceed their expectations and enable their success on a daily basis.
OUR VALUES: Customer-Focused, Forward-Thinking, People-Centric, Solution-Oriented
We have great benefits at DTN – apply today to find out more!
At DTN, we are an equal opportunity employer. Come join us as we help feed, fuel, and protect the world!
** DTN is an Equal Opportunity Employer Minorities/Women/Veterans/Disabled
ApplyJob Profile
Benefits/Perks401(k) matching 6% 401K matching Access to learning courses Competitive medical, dental, and vision insurance Competitive Medical, Dental and Vision Insurance Plans Competitive salary EAP Employee Assistance Program Flexible working hours Great benefits Market competitive variable pay Market competitive variable pay and benefits Pay for performance Remote work Remote Work Model Unlimited access to 13k+ courses via learning platform Unlimited PTO
Tasks- Apply satellite data for insights
- Collaborate with domain experts
- Conduct exploratory data analysis
- Conduct spatiotemporal analyses
- Develop machine learning models
- Identify trends
- Implement data visualization tools
Agriculture Analysis Change detection Classification Data analysis Data Integration Data Science Data Visualization Exploratory Data Analysis Localization Machine Learning Modeling Organization Predictive Modeling Satellite Imagery Analysis Spatiotemporal Analysis
Timezones