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Remote Data Scientist Deep Learning Jobs in Kansas

Deep expertise in remote sensing and geospatial analysis, including working with satellite imagery ... Strong statistical modeling and machine learning skills in Python, with tools like GeoPandas ...

... wildfire science, forestry, or remote sensing * Strong background in deep learning, computer vision, or remote sensing * Skilled in designing end-to-end ML systems - from data ingestion and ...

Machine Learning Tutor

Wichita, KS · Remote

$18 - $40/hr

... deep learning fundamentals. Ability to explain linear regression, decision trees, random forests, support vector machines, and neural network architectures while preparing students for data science ...

... deep learning fundamentals. Ability to explain linear regression, decision trees, random forests, support vector machines, and neural network architectures while preparing students for data science ...

$159K - $285K/yr

The Senior Principal Data Scientist will report to Director of Growth and Data Science in the ... Deep experience with predictive modeling - classification, survival analysis, sequence models, or ...

Data Science Tutor

Overland Park, KS · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Data Science Tutor

Wichita, KS · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

$70K - $100K/yr

Guide cross-functional teams of data scientists and engineers to build and deploy proof-of-concepts ... A strong foundation in machine learning, deep learning, data engineering, and AI agent frameworks.

New

$70K - $100K/yr

Guide cross-functional teams of data scientists and engineers to build and deploy proof-of-concepts ... A strong foundation in machine learning, deep learning, data engineering, and AI agent frameworks.

New

Experience with Machine Learning, Deep Learning, and/or AI * Experience with data processing ... remote sensing platforms * Understanding of IT protocols, networking, and database management

... remote basis At Scopely, we care deeply about what we do and want to inspire play, every day ... B.Tech/BS in Computer Science, Statistics, Math, Physics or other quantitative disciplines * 2+ ...

... deep expertise in Large Language Models (LLMs) and AI platforms to join our growing Data Science ... Contributions to open-source projects related to data or AI/ML. #LI-DM1 #LI-Remote Benefits of ...

$98K - $118K/yr

Education BS in Computer Science and a minimum of five years of experience delivering production ... Environment US/LatAm-based remote working within PT/ET time zones with the potential for occasional ...

New

Wetland Scientist

Leawood, KS · On-site +1

$73K - $95K/yr

Prepare, organize, and manage data, reports, and tables for submission to clients and regulatory ... Ability to travel extensively and work outdoors in variable weather conditions, often in remote or ...

Earth Science Tutor

Wichita, KS · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Advanced Subject Mastery: Deep knowledge of geology, meteorology, oceanography, astronomy ...

Earth Science Tutor

Overland Park, KS · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Advanced Subject Mastery: Deep knowledge of geology, meteorology, oceanography, astronomy ...

Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with ... Strong analytical skills with a deep understanding of biological datasets and scientific literature.

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Remote Data Scientist Deep Learning information

What is a remote data scientist specializing in deep learning?

Remote data scientists specializing in deep learning are professionals who use advanced machine learning techniques, particularly deep neural networks, to analyze large amounts of data and extract meaningful insights. They work from remote locations, leveraging digital tools to build, train, and deploy deep learning models for tasks such as image recognition, natural language processing, and predictive analytics. These experts collaborate with other team members virtually, contributing to projects in industries like healthcare, finance, and technology without needing to be physically present in an office.

What are the key skills and qualifications needed to thrive as a remote data scientist specializing in deep learning?

To thrive as a Remote Data Scientist specializing in Deep Learning, you need a strong background in mathematics, statistics, programming (especially Python), and experience with deep learning frameworks such as TensorFlow or PyTorch, often supported by a relevant degree. Familiarity with cloud platforms (e.g., AWS, GCP), version control systems like Git, and certifications in machine learning are highly beneficial. Strong analytical thinking, problem-solving abilities, and effective remote communication skills help you stand out in this position. These skills and qualities are essential for designing robust models, collaborating with distributed teams, and delivering impactful AI solutions.

How do remote data scientists specializing in deep learning typically collaborate with cross-functional teams?

Remote Data Scientists in Deep Learning often work closely with software engineers, product managers, and domain experts through virtual meetings, shared documentation, and version-controlled code repositories. They collaborate on defining project goals, sharing model insights, and integrating machine learning solutions into products. Effective communication and clear documentation are crucial, as team members may be in different time zones or have varying technical backgrounds. Tools like Slack, JIRA, and GitHub are commonly used to streamline collaboration and track progress.

What are popular job titles related to Remote Data Scientist Deep Learning jobs in Kansas?

For Remote Data Scientist Deep Learning jobs in Kansas, the most frequently searched job titles are:

What cities in Kansas are hiring for Remote Data Scientist Deep Learning jobs?

Cities in Kansas with the most Remote Data Scientist Deep Learning job openings:

Staff Data Scientist - Wildfire

Overstory

On-site, Remote

Full-time

Posted 4 days ago


Job description

Role & Team

We are excited to add a Staff Data Scientist, Wildfire to our team. This individual will lead the scientific foundation of our Fuel Detection Model, the core engine that translates satellite and environmental data into an understanding of vegetation structure, fuel loads, and wildfire risk.
Working alongside ML engineers, and a product team, you'll define accuracy for our models, design the research and validation methods that prove it, and ensure our modeling choices are grounded in fire science and remote sensing fundamentals. This is a great opportunity for someone who is energized by open scientific questions with direct real-world stakes, and who wants their research to shape how utilities prevent catastrophic wildfires.

Time Zone Requirement: North America (NST, AST, EST, CST, MST, PST)

What You'll Do
  • Lead research into how vegetation structure, fuel conditions, and wildfire risk can be estimated from satellite, LiDAR, and environmental data across diverse geographies
  • Design rigorous validation and evaluation methodologies, including ground-truth strategies, uncertainty quantification, and error analysis tied to real-world impact
  • Prototype and refine ML modeling approaches, then partner with ML engineers to translate them into production systems
  • Integrate established fire science, such as fuel models and fire behavior frameworks, with data-driven methods
  • Define scientific standards for experimentation, reproducibility, and model interpretability across the modeling organization
  • Communicate research findings clearly to engineers, product teams, customers, and the broader wildfire science community
  • Mentor ML engineers on scientific methodology and domain reasoning
Skills & Experience
  • 8+ years of applied research or data science experience in wildfire science, fire ecology, forestry, remote sensing, atmospheric science, or a related quantitative field
  • Deep expertise in remote sensing and geospatial analysis, including working with satellite imagery and large-scale environmental datasets
  • Strong statistical modeling and machine learning skills in Python, with tools like GeoPandas, scikit-learn, PyTorch, or XGBoost
  • Track record of designing validation studies and evaluation frameworks for environmental or geospatial models
  • Excellent communication skills, with the ability to make complex scientific work legible across technical and non-technical audience
Nice To Have
  • Familiarity with fire behavior or fuels modeling frameworks (e.g., Rothermel-based models, LANDFIRE fuel classifications)
  • Experience integrating physics-based models with ML, or with active learning and uncertainty quantification
  • Peer-reviewed publications in wildfire science, remote sensing, or environmental modeling
  • Familiarity with GCP, Vertex AI, or similar cloud-based platforms
  • Experience in remote-first or globally distributed team

Note: We believe that all people are capable of great things. We encourage you to apply even if you do not meet all of the requirements that are listed within this job description.

What We Offer
  • Competitive, location-specific compensation and benefits 
  • Flexible, autonomous and collaborative working environment rooted in trust - we build our work days around our lives, not the other way around
  • Home office stipend, co-working and ongoing education budgets 
  • A company culture that genuinely embodies each of our core values
  • To be part of truly mission-driven work that reduces wildfires, protects earth's natural resources and helps solve our climate crisis