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Remote Data Scientist Deep Learning Jobs (NOW HIRING)

SmarterDx

Senior Data Scientist

$190/hr

Strong proficiency in Python and hands-on experience with deep learning frameworks (PyTorch ... Remote-First Team - Work from anywhere in the U.S. * Unlimited PTO & 10 Holidays - So you can relax ...

SOSi

Senior Data Scientist

OR · On-site +1

Proficient in deep learning, supervised and unsupervised learning techniques, data wrangling, and ... Full remote flexibility. Working at SOSi All interested individuals will receive consideration and ...

LexisNexis

Manager Data Science

Raleigh, NC · On-site +1

... for remote locations. ** Are you looking to develop your Data Scientist career? Do you enjoy ... The ideal candidate will have a deep understanding of machine learning algorithms, experience ...

Waymo

Data Scientist

Mountain View, CA · On-site +1

$170K - $216K/yr

Experience in adjacent relevant areas like Advanced Machine Learning (Deep Learning and Diffusion ... remote, the specific salary range for your preferred location, during the hiring process. Waymo ...

Vianai Systems

Data Scientist

Palo Alto, CA · On-site +1

$115K - $180K/yr

Our ideal Data Scientist is hands-on, collaborative, self-motivated, and innovative. She or he ... Experience with Machine/Deep Learning software packages such as TensorFlow/MXNet/SparkML/R etc.

Adidev Technologies Inc

Data Science

San Francisco, CA · Remote

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... Demonstrated experience using machine learning, deep learning, statistical methodology, and ...

Waymo

Data Scientist

San Francisco, CA · On-site +1

$170K - $216K/yr

Experience in adjacent relevant areas like Advanced Machine Learning (Deep Learning and Diffusion ... remote, the specific salary range for your preferred location, during the hiring process. Waymo ...

RELX

Data Scientist III

Philadelphia, PA · On-site +1

$110.49K - $115.60K/yr

Support our Data Sciences team within Health Content Operations and work with the Clinical ... learning, deep learning, and statistical methods. Compare and recommend the use of latest GenAI ...

Steampunk

Data Scientist

Mclean, VA · On-site +1

$125K - $160K/yr

Experience with Deep Learning methodology and state of the art libraries * Knowledge of data ... Bachelor's degree in computer science, information systems, engineering, business, or a scientific ...

Haystack News

Senior Data Scientist

Fort Lauderdale, FL · Remote

Join our team at Haystack News as a Senior Data Scientist and become a pivotal force in redefining ... Experience with deep learning and being familiar with tools such as PyTorch or TensorFlow. * Hands ...

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Remote Data Scientist Deep Learning information

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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.
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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:
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What job categories do people searching Remote Data Scientist Deep Learning jobs look for? The top searched job categories for Remote Data Scientist Deep Learning jobs are:
Remote Data Scientist Deep Learning jobs near you
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.
Machine Learning Scientist - Remote

Machine Learning Scientist - Remote

Tower Hill Insurance Group LLC

Gainesville, FL • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago

Job description

Job Type
Full-time
Description
Tower Hill Insurance Group has an exciting opportunity for a talented Machine Learning Scientist who enjoys intellectual challenges and is seeking a rewarding career with a company that is experiencing growth. Not only is Tower Hill Insurance one of Florida's most trusted names in homeowners insurance, but it offers great opportunities for career advancement and personal growth, along with very competitive benefits and rewards. We are growing at a consistent pace and seek professional individuals with drive, team mentality, who want to make an impact, and are committed to a long-term career in the insurance industry.
The Machine Learning (ML) Scientist develops actionable insights and recommendations in support of business objectives using in-house and external data sources. This position utilizes problem-solving skills to collaborate with business and data engineering professionals for timely and reliable delivery of data solutions. This role leverages the team's deep expertise in data engineering, data science, advanced analytics, and insurance industry data to aid business partners in risk management, drive efficiencies, and improve customer experience.
ESSENTIAL DUTIES AND RESPONSIBILITIES
  • Partner with business stakeholders to scope, structure, and drive analytical projects from requirements through delivery. Present findings and recommendations clearly to both technical and non-technical audiences.
  • Source, validate, and integrate structured and unstructured data across platforms. Conduct exploratory data analysis to reveal data quality issues and identify opportunities.
  • Analyze business trends, time series patterns, model performance, and causal relationships using advanced statistical and machine learning / deep learning methods to inform strategic decisions.
  • Design, build, and deploy machine learning / deep learning models - including NLP, computer vision, and LLM-based solutions - from rapid prototyping through production deployment.
  • Create visualizations, dashboards, and reports that communicate analytical and model results to support decision-making across the organization.
  • Own and maintain recurring analytical, reporting, and model-monitoring processes.
  • Document data pipelines, model architecture, analytical frameworks, and deliverables for knowledge sharing across technical and non-technical teams.

ADDITIONAL DUTIES
This job description reflects the general duties considered necessary to describe the essential functions of the job and should not be considered a complete description of all the work requirements and expectations of the position. Tower Hill reserves the right to assign duties not listed herein as necessary to accomplish the goals of the organization.
Requirements
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
EDUCATION
High School Diploma or GED required. Bachelor's Degree in Computer Science, Statistics, Mathematics, Engineering, or related field required. Master's Degree or higher preferred.
EXPERIENCE
Minimum of five (5) years of relevant work experience in machine learning and/or deep learning required, including the following:
  • Advanced Proficiency in Python.
  • Demonstrated ability to build and deploy ML models using frameworks such as scikit-learn, PyTorch, Hugging Face Transformers.
  • Experience working with cloud data platforms and warehouses (e.g., Snowflake, PostgreSQL) and cloud storage (e.g., S3).Strong written and verbal communication skills with the ability to present complex technical concepts and insights to non-technical stakeholders.
  • Proven ability to work independently, drive projects forward with minimal oversight, and execute in stakeholder-facing environments.

The following work experience is highly preferred:
  • Experience with deep learning, NLP, computer vision, or large language model development and deployment.
  • Hands-on experience with statistical methods (hypothesis testing, regression, causal inference), exploratory techniques (clustering, PCA), anomaly detection, forecasting, and time series analysis.
  • Experience with data processing at scale using PySpark, Pandas, or similar libraries to clean, transform, and integrate data from multiple sources.
  • Experience with visualization tools such as Power BI, matplotlib, seaborn, or plotly.
  • Familiarity with API development and deployment using frameworks such as FastAPI.
  • Experience with AWS services such as SageMaker, S3, Lambda, or Glue.
  • Property and casualty insurance or financial services industry work experience including regulatory standards and best practices is a plus.

CERTIFICATIONS
AWS Certifications in AI or ML preferred.
LICENSES
N/A
*Tower Hill currently operates in a hybrid work environment and may consider candidates located outside of our established office locations. We are presently open to hiring in the following states CT, FL, GA, IA, IN, KY, MI, MS, NC, OH, SC, TN, TX, UT, VA, WV.
Applicants must be legally authorized to work in the U.S. without the need for current or future visa sponsorship.
Preferred work arrangement hybrid on-site, but remote candidates will be considered based on qualifications and experience.
BENEFITS
  • Medical
  • Dental
  • Vision
  • Life & Disability Insurance
  • 401(k)
  • Health Savings Account
  • Accident, Critical Illness and Hospital Indemnity
  • Pet insurance
  • Paid time off & Holiday pay

We offer competitive pay and benefits, and well-being programs to support you and your family. For more information about our company, careers and Total Compensation visit: Total Compensation - Tower Hill Insurance (thig.com)
Tower Hill Insurance is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Tower Hill Insurance is committed to working with and providing reasonable accommodation for individuals with disabilities. If you need reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to hrdepartment@thig.com and let us know the nature of your request and your contact information.
All applicants will receive an acknowledgement that their application has been received. Candidates will not receive status updates regarding their application; however, those candidates selected for further consideration will be contacted by Human Resources.

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