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Remote Data Scientist Deep Learning Jobs in Kansas

StackAdapt

Want to learn more about our Data Science Team: Learn more about our team culture here: Watch our ... StackAdapt is a remote-first company, and we are open to candidates located anywhere in the US or ...

Overstory

Partner with wildfire science and product teams to define modeling objectives and evaluation ... Experience with deep learning models for weather or climate data * Experience in remote-first or ...

Varsity Tutors

Machine Learning Tutor

Wichita, KS · Remote

$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 ...

Varsity Tutors

Machine Learning Tutor

Overland Park, KS · Remote

$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 ...

DataAnnotation

Data Science Consultant

Topeka, KS · On-site +1

$40/hr

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.

DataAnnotation

Decision Scientist

Topeka, KS · On-site +1

$40/hr

... remote work and setting your own schedule. We are looking for experienced quantitative ... Whether your background is in data science, astrophysics, economics, biostatistics, operations ...

NinjaOne

Senior Data Software Engineer

Kansas, KS · On-site +1

$108K - $142.40K/yr

Location - We are flexible on remote working from home, if you are located in the USA and reside in ... and Deep Learning frameworks. About Us NinjaOne automates the hardest parts of IT to deliver ...

Varsity Tutors

Data Science Tutor

Wichita, KS · Remote

$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 ...

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Remote Data Scientist Deep Learning information

What are the key skills and qualifications needed to thrive as a Remote Data Scientist specializing in Deep Learning, and why are they important?

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 remote data scientists 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.
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Senior/Staff Applied Machine Learning Scientist

StackAdapt

Remote

Other

Posted 22 days ago

Job description

We are searching for a talented Senior/Staff Applied Machine Learning Scientist to join our engineering team as we continue to expand our data science efforts. Our platform is connected to thousands of publishers and advertisers worldwide and as a result, we're dealing with millions of requests each second, making billions of decisions. We utilize the latest technologies to solve challenges in traffic, data storage, machine learning, and scalability.
 
Want to learn more about our Data Science Team: https://alldus.com/ie/blog/podcasts/aiinaction-ned-dimitrov-stackadapt/
Learn more about our team culture here: https://www.stackadapt.com/careers/data-science 
Watch our talk at Amazon Tech Talks: https://www.youtube.com/watch?v=lRqu-a4gPuU
 
StackAdapt is a remote-first company, and we are open to candidates located anywhere in the US or Canada for this position.
What you'll be doing:
  • Lead the creation and optimization of advanced machine learning algorithms-from developing new methods to refining existing techniques-to enhance advertising effectiveness and ROI using deep ML expertise.
  • Own the end-to-end development of production-grade ML models: write efficient, scalable code and collaborate with Machine Learning Engineers to deploy and integrate algorithms into live systems.
  • Drive the prototyping and rigorous testing of innovative algorithms and data pipelines using historical data to validate performance and scalability; lead iterative improvements based on data-driven insights.
What you'll bring to the table:
  • 3+ years of industry experience
  • Have a Masters degree or PhD in Computer Science, Statistics, Operations Research, or a related field, with dual degrees a plus.
  • Have the ability to take an ambiguously defined task, and break it down into actionable steps
  • Have a comprehensive understanding of statistics, optimization and machine learning
  • Are proficient in coding, data structures, and algorithms
  • Enjoy working in a friendly, collaborative environment with others

Apply