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Remote Data Scientist Deep Learning Jobs (NOW HIRING)

College Board

Senior Data Scientist

This is a fully remote role. Candidates who live near CB offices have the option of being fully ... Proven experience in developing Machine Learning (ML) and Deep Learning (DL) solutions to solve ...

OpenX

Staff Data Scientist

New York, NY · Remote

Serve as a go-to expert in deep learning and related advanced data science domains, with the breadth to guide method selection across adjacent areas * Lead the evaluation and adoption of new AI/ML ...

OpenX

Staff Data Scientist

New York, NY · On-site +1

Serve as a go-to expert in deep learning and related advanced data science domains, with the breadth to guide method selection across adjacent areas * Lead the evaluation and adoption of new AI/ML ...

Smarsh

Lead Data Scientist

Atlanta, GA · Remote

Experience with one or more data science and machine/deep learning frameworks and tooling, including scikit-learn, H2O, keras, pytorch, tensorflow, pandas, numpy, carot, tidyverse * Command of data ...

New

BMO Capital Markets

Senior Data Scientist

Chicago, IL · On-site +1

$122K - $228K/yr

Data Analytics & Reporting This is ideally a hybrid role but open to remote Role Overview We are ... Apply advanced analytics, machine learning, deep learning, and AI methodologies to build predictive ...

BMO Capital Markets

Senior Data Scientist

San Francisco, CA · On-site +1

$122K - $228K/yr

Data Analytics & Reporting This is ideally a hybrid role but open to remote Role Overview We are ... Apply advanced analytics, machine learning, deep learning, and AI methodologies to build predictive ...

Smarsh

Lead Data Scientist

OR · Remote

Experience with one or more data science and machine/deep learning frameworks and tooling, including scikit-learn, H2O, keras, pytorch, tensorflow, pandas, numpy, carot, tidyverse * Command of data ...

New

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 ...

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 ...

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 ...

Smarsh

Lead Data Scientist

New York, NY · On-site +1

Experience with one or more data science and machine/deep learning frameworks and tooling, including scikit-learn, H2O, keras, pytorch, tensorflow, pandas, numpy, carot, tidyverse * Command of data ...

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

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.

Huntington

Senior Data Scientist

Columbus, OH · On-site +1

Determines requirements that will be used to train and evolve deep learning models and algorithms ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Huntington

Senior Data Scientist

Columbus, OH · On-site +1

Determines requirements that will be used to train and evolve deep learning models and algorithms ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

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All JobsRemote Data Scientist Deep Learning Jobs

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 Jun 20, 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:
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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 June 2026, with employment types broken down into 60% Full Time, 38% Part Time, and 2% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Engineering Manager, Data Science (AdTech)

Engineering Manager, Data Science (AdTech)

Fluent, LLC

Remote

Full-time

Medical, Dental, Vision, Retirement

Posted 15 hours ago

Job description

Fluent is building the next-generation advertising network, Partner Monetize & Advertiser Acquisition. Our vision is to build an ML/AI-first network of advertisers and publishers to achieve a common objective - elevating relevancy in E-commerce for everyday shoppers.
As our Engineering Manager, Data Science, you will lead the team responsible for driving business value through machine learning and advanced analytics in the Adtech space. You will own ROAS optimization, audience propensity modeling, and deep learning powered capabilities that differentiate Fluent's advertising products and drive client success. We are seeking expert-level knowledge of sequence modeling (Transformers/Attention) and generative approaches for user behavior, moving beyond legacy logistic regression to implement deep architectures that solve for data sparsity and long-term user value.
This role combines hands-on ML expertise with people leadership, requiring you to set technical direction for modeling initiatives while building and developing a high-performing data science team.
This role is fully remote, with occasional travel to NYC.
What You'll Do
Machine Learning & Modeling
  • Drive the Deep Learning Evolution: Lead the architectural transition from legacy tree-based models (XGBoost) to advanced Neural Network architectures (Deep Learning) for audience propensity, lookalike modeling, and real-time segmentation.
  • Own Value-Based Bidding (ROAS): Evolve our bidding strategy from simple conversion prediction to sophisticated ROAS-based optimization, developing models that predict user value (LTV) to maximize client returns within dynamic auction environments.
  • Champion Agentic AI & Automation: Spearhead the exploration and adoption of autonomous agentic workflows to enhance decisioning and operational efficiency, moving beyond static models to self-correcting systems.
  • Build Production Deep Learning Systems: Oversee the end-to-end engineering of high-scale inference pipelines, including embedding layers, real-time feature stores, and low-latency serving infrastructure such as ONNX, TensorRT etc.
  • Advance MLOps & Experimentation: Establish rigorous MLOps practices for model versioning and drift detection while shifting further into multi-armed bandit strategies (Exploration vs. Exploitation) that optimize directly for business outcomes (Revenue/GP) rather than just model metrics.

Leadership & Collaboration
  • Lead and grow the Data Science team: hiring, mentoring, performance management, and career development.
  • Partner with Product and Client Success to translate business requirements into ML solutions and communicate model capabilities.
  • Coordinate with Data Platform team to ensure reliable data foundations and feature pipelines for modeling.
  • Translate complex ML concepts into actionable insights for business stakeholders and executives.
  • Set technical direction and foster a culture of innovation, rigor, and continuous improvement.

Requirements
  • PhD (preferred) or Master's Degree in Computer Science, Mathematics, or other Quantitative Field.
  • 8+ years of experience in Data Science or ML Engineering, with at least 2 years managing or leading technical teams.
  • AdTech Deep Learning Architecture Expertise: Deep hands-on experience with modern ranking and retrieval architectures (e.g., DLRM, DCNv2, Two-Tower), with a focus on multi-objective learning (MMoE) to jointly optimize for clicks, conversions, and revenue.
  • Strategic Ownership of Agentic AI: Demonstrated passion for and aptitude in defining the roadmap for autonomous agentic systems. You must be ready to learn, champion, and own the evolution from static RAG to production-grade agentic orchestration.
  • Real-Time Inference & Engineering: Experience deploying complex models into high-throughput, low-latency production environments (familiarity with ONNX, TensorRT, or feature stores).
  • Commercial & Business Acumen: Ability to translate improved model performance (AUC/LogLoss) into tangible business metrics (GP, RPM) and prioritize R&D efforts based on ROI and unit economics.
  • Strong Python skills with a focus on Deep Learning frameworks (PyTorch, TensorFlow) as well as traditional ML libraries (XGBoost, scikit-learn).
  • Proven people management skills: Experience hiring, mentoring, and developing high-performing data science talent.
  • Excellent communication skills for translating technical concepts to business stakeholders and executives.

Nice-to-Haves
  • Hands-on Agentic Framework Experience: Familiarity with graph-based orchestration such as LangGraph, multi-agent systems (CrewAI), or emerging standards like Model Context Protocol (MCP).
  • ROAS optimization and campaign performance modeling.
  • Databricks and MLflow experience.
  • Experience with audience/customer modeling: propensity, lookalike, segmentation, or recommender systems.

About Us
Fluent, Inc. (NASDAQ: FLNT) is a commerce media solutions provider connecting top-tier brands with highly engaged consumers. Leveraging diverse ad inventory, robust first-party data, and proprietary machine learning, Fluent unlocks additional revenue streams for partners and empowers advertisers to acquire their most valuable customers at scale. Founded in 2010, Fluent uses its deep expertise in performance marketing to drive monetization and increase engagement at key touchpoints across the customer journey. For more insights visit:https://www.fluentco.com/
Benefits
At Fluent, we like what we do, and we like who we do it with. Our team is a tight-knit crew of go-getters; we love to celebrate our successes! In addition, we offer a fully stocked kitchen, catered lunch, and our office manager keeps the calendar stocked with activity filled events. When we're not eating, working out, or planning parties, Fluent folks can be found participating in networking events, and bonding across teams during quarterly outings to baseball games, fancy dinners, and a variety of activities. And we have all the practical benefits, too...
  • Competitive compensation
  • Ample career and professional growth opportunities
  • New Headquarters with an open floor plan to drive collaboration
  • Health, dental, and vision insurance
  • Pre-tax savings plans and transit/parking programs
  • 401K with competitive employer match
  • Volunteer and philanthropic activities throughout the year
  • Educational and social events
  • The amazing opportunity to work for a high-flying performance marketing company!

Salary Range: $180,000 to $225,000 base, + competitive bonus. The base salary range represents the low and high end of the Fluent salary range for this position. Actual salaries will vary depending on factors including but not limited to location, experience, and performance.
Candidates may be at risk of targeting by malicious actors seeking personal information. Fluent recruiters will only reach out via LinkedIn or email with an @fluentco.com domain. Any outreach by Fluent via other sources (e.g. text, other domains etc) should be ignored.
Fluent participates in the E-Verify Program. As a participating employer, Fluent, LLC will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS), with information from each new employee's Form I-9 to confirm work authorization. Fluent, LLC follows all federal regulations including those set forth by The Office of Special Counsel for Immigration-Related Unfair Employment Practices (OSC). The OSC enforces the anti-discrimination provision (§ 274B) of the Immigration and Nationality Act (INA), 8 U.S.C. § 1324b.

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