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Remote Data Scientist Deep Learning Jobs (NOW HIRING)

REMOTE - Data Scientist

$101.54K - $175.73K/yr

To be successful, you'll develop a deep understanding of the goals and constraints of the provider ... Strong working knowledge of machine learning and data science methods including model training ...

Azumo is currently looking for a highly motivated Data Scientist / Machine Learning Engineer to ... If you have a passion for designing and implementing advanced machine learning and deep learning ...

Our deep expertise in machine learning, artificial intelligence, large language models, and ... local and remote data sources * Architect robust, scalable APIs and microservices to serve AI ...

... remote. Professional Summary: The Principal Data Scientist will drive innovation across the full ... Initiate and lead novel research in machine learning and AI, especially in deep learning, large ...

... remote. Professional Summary: The Principal Data Scientist will drive innovation across the full ... Initiate and lead novel research in machine learning and AI, especially in deep learning, large ...

Monday - Friday 8am - 5pm (Onsite 4 days a week) (Possible remote for the right candidate) Position ... Select and implement appropriate modeling techniques, including classical ML, deep learning ...

Monday - Friday 8am - 5pm (Onsite 4 days a week) (Possible remote for the right candidate) Position ... Select and implement appropriate modeling techniques, including classical ML, deep learning ...

Data Science Structured Data / Text Data (NLP & GenAI) About the Role We are seeking a highly ... Text / Unstructured Data (NLP & GenAI) Building lowlatency realtime systems using deep learning ...

Strong Time Series forecasting, ML, deep learning and standard statistical methods to evaluate models. Experience working on supply chain projects. We are seeking a highly skilled Data Scientist to ...

... on deep learning and LLM approaches • Stay abreast of leading-edge technologies in machine ... or data science: data analysis, algorithm design, model architecture specification, machine ...

Experience with a deep learning framework (TensorFlow, Pytorch, etc..) and deep learning ... This is a remote/virtual position. * You must live in the United States of America. * You must be ...

As a Data Scientist, you will be working with our engineering team to model complex problems and ... Experience with training and deploying NLP deep learning models * Exceptional skills in Python, SQL ...

Data Scientist

Santa Cruz, CA · Remote

$130K - $170K/yr

Fullpower-AI delivers a complete B2B IoT platform for AI-powered algorithms, remote contactless ... Experience with a deep learning framework such as Tensorflow, pyTorch, or equivalent * Experience ...

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Remote Data Scientist Deep Learning information

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$37.5K

$122.7K

$196.5K

How much do remote data scientist deep learning jobs pay per year?

As of May 30, 2026, the average yearly pay for remote data scientist deep learning in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

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.
More about Remote Data Scientist Deep Learning jobs
What cities are hiring for Remote Data Scientist Deep Learning jobs? Cities with the most Remote Data Scientist Deep Learning job openings:
What are the most commonly searched types of Data Scientist Deep Learning jobs? The most popular types of Data Scientist Deep Learning jobs are:
What states have the most Remote Data Scientist Deep Learning jobs? States with the most job openings for Remote Data Scientist Deep Learning jobs include:
Infographic showing various Remote Data Scientist Deep Learning job openings in the United States as of May 2026, with employment types broken down into 85% Full Time, 9% Part Time, and 6% Contract. Highlights an 18% Physical, 27% Hybrid, and 55% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
REMOTE - Data Scientist

$101.54K - $175.73K/yr

Full-time

Retirement

Posted 17 days ago


Job description

Join PatientPoint to be part of a dynamic team creating change in and around the doctor's office. As a leading digital health company, we innovate to positively impact patient behaviors. Our purpose-driven approach offers an inspirational career opportunity where you can contribute to improving health outcomes for millions of patients nationwide.
Location: Cincinnati OR Remote
Travel Required: 2-3 times yearly
Job Summary
The Data Science team at PatientPoint works on business problems across the enterprise, such as provider growth, pricing, operations, marketing, campaign measurement, and customer attrition.As a Data Scientist, you'll impact the organization by creating data products that synthesize available data into useful predictions, enable manual processes to be automated, and provide digestible information for human-in-the-loop decisions.
WhatYou'llDo
  • In this role, you'll work with a cross-functional team to enhance PatientPoint's durable provider growth strategy.
  • You'll be a core member of the team responsible for modeling the value of providers in the market and creating data pipelines that prioritize recruitment.
  • To be successful, you'll develop a deep understanding of the goals and constraints of the provider growth team and leverage machine learning, analysis, and data storytelling techniques to move the business towards its goals.
  • To stay organized, you'll work in Git, participate in code reviews, and keep your work documented (Jira, Confluence, READMEs) .
  • To maximize impact, you'll proactively share insights with your cross-functional collaborators and data science team.

What We Need
  • Bachelorsdegree inApplied Statistics, Computer Science,Operations Research, Business Analytics, InformationSystemsor a related field.
  • 2+ years of related data science experience developing data products, deploying models to production, and delivering analyses to internal and external stakeholders.
    • Candidates will be asked to provide examples from theirprevious experienceand/or complete aprojectusing analytics to create actionable insights.
  • Fluency in Python and SQL, with end-to-end data stack experience including manipulation, analysis, visualization, model deployment, and pipeline orchestration.
  • Strong working knowledge of machine learning and data science methods including model training, model validation and selection, backtesting, and statistical testing.
  • Experience taking models from development to production, monitoring performance, and iteratively improving over time.
  • Strong communicationskills and a collaborative attitude for working with stakeholders.

Desired Qualifications
  • Masters or doctoral degree inApplied Statistics, Computer Science,Operations Research, Business Analytics, InformationSystemsor a related field.
  • Professional experience in healthcare, pharmaceutical,and digital advertising industries.
  • Strong grasp of MLOps practices and software engineering principles.
  • Experience with Snowflake, Airflow, HEX, Cursor, Claude Code.

What You'll Need to Succeed
  • Curious self-learner that enjoys staying current on emerging methods and trends and sharing with the team and others around them.
  • Highly self-motivated and self-directed.
  • Critical thinking with the ability toidentifyand scope and solve ambiguous problems in a fast-paced environment.
  • The ability to empower others through data storytelling - translating complex data findings into compelling narratives. Comfortable not onlypresenting the data but also explaining the insights in a context that resonates withtheaudience.
  • Strong interpersonal,communication,and consulting skills. Ability toestablishand maintain successful cross functional relationships and collaborate closely with multiple teams including engineering, product management, and business stakeholders.
  • Enthusiasm for responding to a dynamic range of questions and analytical challenges.

Base Salary Band: $101,542 - $175,732
Compensation: At PatientPoint, we are committed to providing competitive pay and benefits that are in line with industry standards. We analyze and carefully consider several factors when determining compensation, including skills, qualifications, geographic location, and professional experience, which can cause your compensation to vary. The base salary range listed is just one component of PatientPoint's total compensation package for employees. For additional details on our total benefits package, please review the section "About PatientPoint" at the end of this job description.
About PatientPoint:PatientPoint® is the Point of Change company, transforming the healthcare experience through the strategic delivery ofbehavior-changing content at critical moments of care. As the nation's largest and most impactful digital network in 30,000 physician offices, we connect patients, providers and healthbrands with relevant information that is proven to drivehealthier decisions and better outcomes. Learn more atpatientpoint.com.
Latest News & Innovations:
  1. Why is PatientPoint a Best Place to Work! Read More
  2. Teammate Honored as "Top Woman in Tech". Read More
  3. Recognized on Vault's Top Internship List. Read More

What We Offer:
We know you bring your whole self to work every day, and we are committed to supporting our full-time teammates with a comprehensive range of modernized benefits and cultural perks. We offer competitive compensation, flexible time off to recharge, hybrid work options, mental and emotional wellness resources, a 401K plan, and more. While these benefits are available to full-time team members, we strive to create a positive and supportive environment for all teammates.
PatientPoint recognizes that privacy is important to you. Please read the PatientPoint privacy policy, we want you to be familiar with how we may collect, use, and disclose your information. Employer is EOE/M/F/D/V