Remote Data Science Jobs

Data science

561 jobs found. to receive daily emails with new job openings that match your preferences.

561 jobs found.

Set alerts to receive daily emails with new job openings that match your preferences.

Apply

🔥 Senior Writer, AI

Posted 31 minutes ago

📍 United States

💸 120000.0 - 150000.0 USD per year

🔍 Journalism

🔧 Requirements

Bachelor’s degree with 5+ years of journalism experience
Strong writer who communicates effectively and clearly with a strong point of view that stands out
Well sourced in the AI community with a proven track record for turning tips into stories
Versed in the technical side of AI, as well as the finance of startup fundraising, and able to hold their own with researchers and investors alike
Team player and happy collaborator who is willing to crash out a quick hit, dive into an investigation and go in-depth for a print profile, as need requires
Overflowing with story ideas drawn from sourcing, sharp observation and on-the-ground reporting
Comfortable working remotely

💡 Responsibilities

Pitch, report and write must-read stories about artificial intelligence companies and entrepreneurs
Regularly break news, including exclusives, funding scoops and investigations
Conceive and report features for the website and magazine, including pitching profiles and cover stories
Participate in the reporting of AI 50 and contribute to other Forbes lists
Represent Forbes at live events and conferences
Participate in Forbes videos related to reporting

Artificial Intelligence Data Analysis Machine Learning Data science Research Writing Finance

Posted 31 minutes ago

Apply

🔥 Staff Product Manager, Benefits Platform

Posted 37 minutes ago

📍 United States

🧭 Full-Time

💸 215900.0 - 254000.0 USD per year

🔍 Healthcare

🔧 Requirements

You have 6+ years building platforms that leverage ML for automated decision-making, preferably in healthcare, insurance, or adjacent risk domains.
You understand the complexities of health insurance - from claims processing to benefits determination - and have built systems that improve billing accuracy or clean claims rates.
You're comfortable diving deep with engineering and data science teams on complex technical problems and can drive architectural decisions for scalable platforms.
You've led initiatives requiring difficult tradeoffs between accuracy, speed, and user experience, and can influence stakeholders across multiple teams.
You excel at analyzing complex datasets to identify root causes and drive systematic improvements to platform performance.

💡 Responsibilities

Own the benefits determination platform strategy and roadmap to achieve company goals for billing accuracy and collections loss reduction.
Build ML-powered systems that interpret complex insurance data and handle thousands of payer-specific edge cases.
Drive technical decisions on platform architecture, model deployment, and system scalability with engineering leadership.
Collaborate with Engineering and Data Science on developing models that improve benefits interpretation accuracy and confidence scoring.
Partner with Insurance Operations and Customer Care to understand manual intervention patterns and automate high-volume workflows.

SQL Data Analysis Machine Learning Product Management Cross-functional Team Leadership Data science RESTful APIs Data modeling

Posted 37 minutes ago

Apply

🔥 Lead Machine Learning Infrastructure Engineer - Infrastructure & Data

Posted about 3 hours ago

📍 United States

🧭 Full-Time

💸 185500.0 - 293750.0 USD per year

🔍 Software Development

🔧 Requirements

Strong technical expertise in designing and building scalable ML infrastructure.
Experience with distributed systems and cloud-based ML platforms.
Proficiency in programming languages such as Python, Java, or Scala.
Deep understanding of ML workflows, including data pipelines, model training, and deployment.
Passion for innovation and eagerness to implement the latest advancements in ML infrastructure.
Strong problem-solving skills and ability to optimize complex systems for performance and reliability.
Collaborative mindset with excellent communication skills to work across teams.
Ability to thrive in a fast-paced, dynamic environment with evolving technical challenges.

💡 Responsibilities

Design, implement, and optimize distributed systems and infrastructure components to support large-scale machine learning workflows, including data ingestion, feature engineering, model training, and serving.
Develop and maintain frameworks, libraries, and tools that streamline the end-to-end machine learning lifecycle, from data preparation and experimentation to model deployment and monitoring.
Architect and implement highly available, fault-tolerant, and secure systems that meet the performance and scalability requirements of production machine learning workloads.
Collaborate with machine learning researchers and data scientists to understand their requirements and translate them into scalable and efficient software solutions.
Stay current with advancements in machine learning infrastructure, distributed computing, and cloud technologies, integrating them into our platform to drive innovation.
Mentor junior engineers, conduct code reviews, and uphold engineering best practices to ensure the delivery of high-quality software solutions.

AWS Docker Python Cloud Computing Kubernetes Machine Learning Algorithms Data engineering Data science CI/CD RESTful APIs Scala Software Engineering

Posted about 3 hours ago

Apply

🔥 Staff Product Manager, Benefits Platform

Posted about 6 hours ago

📍 United States

🧭 Full-Time

💸 215900.0 - 254000.0 USD per year

🔍 Healthcare

🏢 Company: Headway👥 201-500💰 $125,000,000 Series C over 1 year agoMental Health Care

🔧 Requirements

6+ years building platforms that leverage ML for automated decision-making, preferably in healthcare, insurance, or adjacent risk domains.
Understand the complexities of health insurance - from claims processing to benefits determination - and have built systems that improve billing accuracy or clean claims rates.
Comfortable diving deep with engineering and data science teams on complex technical problems and can drive architectural decisions for scalable platforms.
Led initiatives requiring difficult tradeoffs between accuracy, speed, and user experience, and can influence stakeholders across multiple teams.
Excel at analyzing complex datasets to identify root causes and drive systematic improvements to platform performance.

💡 Responsibilities

Own the benefits determination platform strategy and roadmap to achieve company goals for billing accuracy and collections loss reduction.
Build ML-powered systems that interpret complex insurance data and handle thousands of payer-specific edge cases.
Drive technical decisions on platform architecture, model deployment, and system scalability with engineering leadership.
Collaborate with Engineering and Data Science on developing models that improve benefits interpretation accuracy and confidence scoring.
Partner with Insurance Operations and Customer Care to understand manual intervention patterns and automate high-volume workflows.

AWS Backend Development Leadership SQL Data Analysis Machine Learning Product Management Product Operations Cross-functional Team Leadership Product Development Strategy Data science Communication Skills Analytical Skills RESTful APIs Data modeling

Posted about 6 hours ago

Apply

🔥 Grupo QuintoAndar | Tech Lead Manager (AI Core Platform)

Posted about 15 hours ago

📍 Brazil

🧭 Full-Time

🔍 Software Development

🏢 Company: Grupo QuintoAndar

🔧 Requirements

Solid understanding of the engineering challenges of deploying machine learning systems to production;
Solid understanding of systems, software and data engineering best practices;
Proficiency with cloud-based services;
Proficiency in Python or another major programming language;
Have experience building backend systems, event driven architectures and rest/http applications
Have experience building solutions with LLMs (RAG, fine-tuning);
Have experience building AI agents and AI powered applications, familiarity with agentic frameworks (LangGraph, LangChain, AutoGen, CrewAI);
Experience leading teams and managing careers.

💡 Responsibilities

Lead a small team of Data Scientists and Machine Learning Engineers to build solutions based on AI/ML.
Be a technical reference to the team, including doing hands-on engineering work.
Shaping the technical direction of our products, translating business requirements into solutions.
Discuss business requirements with the Product Manager and other stakeholders.

AWS Backend Development Docker Leadership Project Management Python Software Development SQL Artificial Intelligence Cloud Computing Kubernetes Machine Learning Software Architecture Algorithms Data engineering Data science Data Structures REST API Communication Skills CI/CD Agile methodologies RESTful APIs Excellent communication skills Problem-solving skills Team management Technical support Data modeling

Posted about 15 hours ago

Apply

🔥 IT Content Author

Posted about 16 hours ago

📍 United States

💸 74300.0 - 106567.0 USD per year

🔍 IT

🏢 Company: wiley_careers

🔧 Requirements

Typically has MS/PhD or equivalent experience to demonstrate subject matter expertise
Typically has at least 2 years teaching experience, usually more
Acts as a resource for colleagues with less experience
Requires in-depth knowledge and experience
Uses best practices and knowledge of internal or external business issues to improve processes
Solves complex problems; takes a new perspective using existing solutions
Works independently, with guidance in only the most complex situations
Progression to this level is typically restricted to selected job families based on business requirements

💡 Responsibilities

May train/mentor for new authors in discipline
Authors sections, CA’s, labs, and other content types independently.
Takes ownership of assigned projects/titles.
May serve as a lead author on one or more titles
May maintain backlog of improvements for given titles and contributes strategy and roadmap ideas to leads or Senior Managers.
Responsible for ensuring quality of their projects/titles along with the project manager.
May speak at conferences; publish research papers, articles and blog posts.
Define and implement auto-generated and auto-graded homework assignments
Maintain and improve existing content
May collaborate with colleagues on the development team to define and develop interactive tools
Collaborate with colleagues in Marketing and Sales to assist with demos, respond to instructor feedback, assist with special requests, and more
May work with project managers to oversee external authoring projects (evaluate project proposals, train external authors to utilize the zyBooks platform, review content to ensure quality and adherence to zyBooks' authoring guidelines)

Python HTML CSS Java Javascript C++Algorithms Content creation Content management Data science Data Structures CI/CD RESTful APIs Data visualization Debugging

Posted about 16 hours ago

Apply

🔥 Principal Data Scientist - Pharma Media

Posted about 16 hours ago

📍 USA

🧭 Full-Time

🔍 Software Development

🏢 Company: Spring & Bond👥 11-50 Digital Marketing Advertising Digital Media Consulting

🔧 Requirements

Master’s degree in data science, Statistics, Mathematics, Computer Science, or related field (PhD preferred)
5+ years of analytics experience
Minimum of 4 years’ hands-on experience in machine learning and relational databases.
Proficient in data manipulation using SQL, Python, and/or similar programming languages.
Solid understanding of media metrics, digital/social analytics, ad technology, and TV ratings.
Strong project-management skills managing cross-functional workflows.
Proven ability to build and maintain client relationships.

💡 Responsibilities

Mentor data scientists, fostering collaboration and professional growth.
Develop and execute a data-science strategy aligned with company objectives.
Design, implement, and optimize predictive models and machine-learning algorithms.
Partner with software engineers, product managers, and business units to deliver client-facing solutions.
Leverage SQL, Python, and R-Shiny to extract insights from large numeric and textual datasets.
Manage model lifecycle: design, training, evaluation, validation, and deployment.
Translate complex analytical results into clear business recommendations and compelling visualizations.
Define and track key performance indicators (KPIs), ensuring data accuracy, integrity, and security.
Analyze digital trends, user behavior, and product performance.
Oversee digital data infrastructure in Snowflake to maintain data health and quality along with Data Engineering team.
Create and maintain technical documentation (system flows, data flows, architecture diagrams) in GitHub repository.
Support measurement strategies, including learning agendas, test plans, and frameworks.
Collaborate regularly with stakeholders to address digital data needs and challenges.
Educate research and business teams on data-best practices and infrastructure.

Python SQL Data Analysis Machine Learning Snowflake Algorithms Data science Data visualization Data modeling

Posted about 16 hours ago

Apply

🔥 Data Scientist – NLP & Real World Evidence (RWE) - Remote

Posted about 18 hours ago

📍 United States, Canada

🔍 Healthcare

🏢 Company: Veradigm👥 5001-10000💰 $100,000,000 Post-IPO Equity almost 10 years agoInformation Services Electronic Health Record (EHR)Hospital Information Technology Health Care

🔧 Requirements

Master’s degree in Data Science, Computer Science, Biomedical Informatics, or a related field.
Proficiency in Python and SQL.
Experience developing ML models, particularly with NLP techniques and libraries (spaCy, Scikit-learn, etc.).
Experience with Azure OpenAI or other large language models.
Familiarity with EMR systems, healthcare data standards (e.g. ICD-10, SNOMED).
Exposure to cloud environments and big data tools (e.g., Snowflake, Azure, Spark).
Demonstrated ability to work with clinical text and health data (e.g., EMRs).

💡 Responsibilities

Design, develop, and deploy NLP and ML models using Python to extract insights from unstructured and semi-structured clinical text.
Leverage Azure OpenAI and other LLM frameworks to enhance clinical data structuring and semantic understanding.
Partner closely with clinical subject matter experts to validate models, ensuring high precision and accuracy in clinical contexts.
Iterate on model development using feedback from real-world applications and clinician review.
Collaborate with Operations teams to design, implement, and optimize an end-to-end data science pipeline from R&D to production.
Ensure data integrity, reproducibility, and compliance with healthcare regulations and best practices.
Work with clients and stakeholders to identify key business problems and expected outcomes.
Explore and assess internal and external data sources to extract relevant features and patterns.
Communicate findings, methodologies, and actionable insights to both technical and non-technical audiences.

Python SQL Cloud Computing Data Analysis ETL Machine Learning Algorithms Azure Data science Data Structures CI/CD RESTful APIs Data visualization

Posted about 18 hours ago

Apply

🔥 Senior Solutions Engineer, West Coast

Posted about 21 hours ago

📍 United States, Canada

🧭 Full-Time

💸 118300.0 - 147800.0 USD per year

🔍 Software Development

🏢 Company: Twilio👥 5001-10000💰 $378,215,525 Post-IPO Equity almost 4 years ago🫂 Last layoff over 1 year agoMessaging SMS Mobile Apps Enterprise Software Software

🔧 Requirements

3+ years of success in a solutions engineering (presales) role with 6+ years of progressive professional experience supporting technical products.
Experience with Data Engineering, Cloud Data Warehouses, Data Modeling, and APIs
Experience with marketing technology such as marketing automation, personalization, journey orchestration, or advertising.

💡 Responsibilities

Partner with Account Executives to execute pre-sales activities including opportunity qualification, discovery, demonstrations, Proof-of-Concept, RFP responses,and justifying business value.
Become an expert builder and evangelist of Segment’s products and partner ecosystem.
Lead technical evaluations with our prospects to uncover their goals and technical pain, in order to design, demonstrate and present innovative solutions that unlock business-level gains.
Develop subject matter expertise on Customer Data Platforms (CDPs) and Segment’s role within the customer data ecosystem.
Act as a trusted advisor to consult with customers and prospects in order to influence their customer data strategy and architecture design.
Build a perspective on customer and market trends by listening to prospects and advocating for customer interests to influence Segment’s strategy and vision.

AWS Cloud Computing ETL Data engineering Data science Communication Skills Problem Solving RESTful APIs Sales experience Marketing Data modeling Scripting Data analytics Data management Customer Success

Posted about 21 hours ago

Apply

🔥 Senior Data Engineer

Posted about 21 hours ago

📍 United States

🧭 Full-Time

💸 145000.0 - 200000.0 USD per year

🔍 Daily Fantasy Sports

🏢 Company: PrizePicks👥 101-250💰 Corporate about 2 years agoGaming Fantasy Sports Sports

🔧 Requirements

5+ years of experience in a data Engineering, or data-oriented software engineering role creating and pushing end-to-end data engineering pipelines.
2+ years of experience acting as technical lead and providing mentorship and feedback to junior engineers.
Extensive experience building and optimizing cloud-based data streaming pipelines and infrastructure.
Extensive experience exposing real-time predictive model outputs to production-grade systems leveraging large-scale distributed data processing and model training.
Experience in most of the following: SQL/NoSQL databases/warehouses: Postgres, BigQuery, BigTable, Materialize, AlloyDB, etc Replication/ELT services: Data Stream, Hevo, etc. Data Transformation services: Spark, Dataproc, etc Scripting languages: SQL, Python, Go. Cloud platform services in GCP and analogous systems: Cloud Storage, Cloud Compute Engine, Cloud Functions, Kubernetes Engine etc. Data Processing and Messaging Systems: Kafka, Pulsar, Flink Code version control: Git Data pipeline and workflow tools: Argo, Airflow, Cloud Composer. Monitoring and Observability platforms: Prometheus, Grafana, ELK stack, Datadog Infrastructure as Code platforms: Terraform, Google Cloud Deployment Manager. Other platform tools such as Redis, FastAPI, and Streamlit.

💡 Responsibilities

Enhance the capabilities of our existing Core Data platforms and develop new integrations with both internal and external APIs within the Data organization.
Work closely with DevOps, architects, and engineers to ensure the success of the Core Data platform.
Collaborate with Analytics Engineers to enhance data transformation processes, streamline CI/CD pipelines, and optimize team collaboration workflows.
Architect and implement Infrastructure as Code (IaC) solutions to automate and streamline the deployment and management of data infrastructure.
Develop and manage CI/CD pipelines to automate and streamline the deployment of data solutions.
Ensure code is thoroughly tested, effectively integrated, and efficiently deployed, in alignment with industry best practices for version control, automation, and quality assurance.
Serve as a Data Engineering thought leader within the broader PrizePicks technology organization by staying current with emerging technologies, implementing innovative solutions, and sharing knowledge and best practices with junior team members and collaborators.
Provide on-call support as part of a shared rotation between the Data and Analytics Engineering teams to maintain system reliability and respond to critical issues.

Leadership PostgreSQL Python SQL Apache Airflow Bash Cloud Computing ETL GCP Git Kafka Kubernetes Data engineering Data science REST API CI/CD RESTful APIs Mentoring Terraform Data modeling

Posted about 21 hours ago

Apply

Shown 10 out of 561

Ready to Start Your Remote Journey?

Apply to 5 jobs per day for free, or get unlimited applications with a subscription starting at €5/week.

Subscribe Now Sign Up Free

Why Remote Data Science Jobs Are Becoming More Popular

The remote work from home is increasingly in demand among computer and IT professionals for several reasons:

Flexibility in time and location.
Collaboration with international companies.
Higher salary levels.
Lack of ties to the office.

Remote work opens up new opportunities for specialists, allowing them to go beyond geographical limits and build a successful remote IT career. This employment model is transforming traditional work approaches, making it more convenient, efficient, and accessible for professionals worldwide.

Why do Job Seekers Choose Remoote.app?

Our platform offers convenient conditions for finding remote IT jobs from home:

localized search — filter job listings based on your country of residence;
AI-powered job processing — artificial intelligence analyzes thousands of listings, highlighting key details so you don’t have to read long descriptions;
advanced filters — sort vacancies by skills, experience, qualification level, and work model;
regular database updates — we monitor job relevance and remove outdated listings;
personalized notifications — get tailored job offers directly via email or Telegram;
resume builder — create a professional VC with ease using our customizable templates and AI-powered suggestions;
data security — modern encryption technologies ensure the protection of your personal information.

Join our platform and find your dream job today! We offer flexible pricing — up to 5 applications per day for free, with weekly, monthly, and yearly subscription plans for extended access.