Remote Data Science Jobs

Machine Learning

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1,520 jobs found.

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🔥 Senior Writer, AI

Posted 24 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 24 minutes ago

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🔥 Staff Product Manager, Benefits Platform

Posted 29 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 29 minutes ago

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🔥 Director of Data & Insights Product

Posted 40 minutes ago

📍 United States

🧭 Full-Time

💸 138000.0 - 150000.0 USD per year

🔍 Education

🏢 Company: Gradient Learning

🔧 Requirements

5+ years of experience working in the K-12 space
3+ years of experience in data product development
3+ years of experience translating complex data into educator-friendly visualizations using Tableau
3+ years of people management experience
3+ years of experience with Snowflake or comparable cloud-based data warehousing platforms (strongly preferred)
Experience using AI or machine learning to enhance data analysis or deliver scalable, educator-facing insights (strongly preferred)
Familiarity with LTI standards, LMS platforms, and education data interoperability; direct experience with Canvas LMS (strongly preferred)
Knowledge of data privacy, security, and protection standards, particularly as they relate to PII and educational data (FERPA, COPPA, etc.) (preferred)

💡 Responsibilities

Design, Refine, and Lead the Data & Insights Product Strategy
Oversee Data & Insights Product Development and Delivery
Strengthen Data Infrastructure in Partnership with Information Systems
Lead the Data & Insights Product Delivery Team

SQL Data Analysis ETL Machine Learning People Management Product Management Snowflake User Experience Design Cross-functional Team Leadership Tableau Product Development Data engineering Communication Skills Agile methodologies RESTful APIs Data visualization Stakeholder management Strategic thinking Data modeling Data analytics Data management

Posted 40 minutes ago

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🔥 Sr. AI Strategist

Posted 44 minutes ago

📍 United States

💸 94700.0 - 155600.0 USD per year

🔍 Marketing, Technology

🏢 Company: DEPT®

🔧 Requirements

2+ years of applied AI consulting/strategy experience
5+ years of strategic/consulting experience engagements - AI, tech, digital or other relevant industry
Extensive knowledge of AI solutions for workflows and front end experience transformation
Experience creating strategic briefs, tooling recommendations and implementation roadmaps
A strong POV on where AI makes sense - and where it doesn’t
Experience working with nationally / globally recognized brands
B2C and B2B experience
Excellent communication and presentations skills
Able to understand clients visible and invisible needs
Strong collaboration and client relationship skills
Experience navigating cross-functional teams and dynamics
Flexibility to travel for work meetings and events
Curiosity, creativity and rigor

💡 Responsibilities

Support AI strategy engagements for both digital experience and workflow transformation
Champion the work by having a deep understanding of our partners business and what makes them tick
Identify business growth opportunities and develop strategic recommendations to support the growth of client relationships
Work along a range of cross-discipline teams both within the agency and client’s team alike, building a collaborative and trusting relationship along the way
Participate in new business development and other growth opportunities
Participate in conferences, PR, and other thought leadership opportunities

AWS Artificial Intelligence Cloud Computing Data Analysis Machine Learning Strategy Communication Skills Client relationship management Cross-functional collaboration Strategic thinking

Posted 44 minutes ago

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🔥 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

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🔥 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

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🔥 Forward Deployed Engineer - Architect

Posted about 6 hours ago

📍 USA

🔍 SaaS

🏢 Company: DevRev👥 251-500💰 $100,825,173 Series A 10 months agoDeveloper Platform Customer Service CRM Artificial Intelligence (AI)Developer APIs Software

🔧 Requirements

3+ years in software development, AI/ML engineering, or technical consulting.
Strong proficiency in Python and/or Golang.
Familiarity with large language models (LLMs), prompt engineering, and frameworks like RAG and function calling.
Hands-on experience with AWS, GCP, or Azure, and modern DevOps practices (CI/CD, containers, observability).

💡 Responsibilities

Design & Deploy AI Agents
Integrate Systems
Optimize Performance
Own Requirements
Prototype & Iterate
Lead Execution
Advise Customers

AWS Docker Python Software Development Cloud Computing Data Analysis GCP Kubernetes Machine Learning Algorithms API testing Azure Data engineering Communication Skills CI/CD Customer service RESTful APIs DevOps SaaS

Posted about 6 hours ago

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🔥 Lead Backend & MLOps Engineer

Posted about 7 hours ago

📍 United States

🧭 Full-Time

🔍 Software Development

🏢 Company: Buzz Solutions

🔧 Requirements

8+ years of industry experience with modern systems development, ideally end to end pipelines and applications development
Track record of shipping complex backend features end-to-end
Ability to translate customer requirements into technical solutions
Strong programming and computer science fundamentals and quality standards
Experience with Python and modern web frameworks (FastAPI) and Pydantic
Experience designing, implementing, and debugging web technologies and server architecture
Experience with modern python packaging and distribution (uv, poetry)
Deep understanding of distributed systems and scalable architecture
Experience building reusable, modular systems that enable rapid development and easy modification
Strong experience with data storage systems (PostgreSQL, Redis, BigQuery, MongoDB)
Expertise with queuing/streaming systems (RabbitMQ, Kafka, SQS)
Expertise with workflow orchestration frameworks (Celery, Temporal, Airflow) and DAG-based processing
Proficiency in utilizing and maintaining cloud infrastructure services (Google Cloud/AWS/Azure)
Experience with Kubernetes for container orchestration and deployment
Solid grasp of system design patterns and tradeoffs
Experience and in-depth understanding of AI/ML systems integration
Deep understanding of the ML Lifecyle
Experience with big data technologies and data pipeline development
Experience containerizing and deploying ML applications (Docker) for training and inference workloads
Experience with real-time streaming and batch processing systems for ML model workflows
Experience with vector databases and search systems for similarity search and embeddings

💡 Responsibilities

Partner closely with engineering (software, data, and machine learning), product, and design leadership to define product-led growth strategy with an ownership-driven approach
Establish best practices, frameworks, and repeatable processes to measure the impact of every feature shipped, taking initiative to identify and solve problems proactively
Make effective tradeoffs considering business priorities, user experience, and sustainable technical foundation with a startup mindset focused on rapid iteration and results
Develop and lead team execution against both short-term and long-term roadmaps, demonstrating self-starter qualities and end-to-end accountability
Mentor and grow team members to be successful contributors while fostering an ownership culture and entrepreneurial thinking
Build and maintain backend systems and data pipelines for AI-based software platforms, integrating SQL/NoSQL databases and collaborating with engineering teams to enhance performance
Design, deploy, and optimize cloud infrastructure on Google Cloud Platform, including Kubernetes clusters, virtual machines, and cost-effective scalable architecture
Implement comprehensive MLOps workflows including model registry, deployment pipelines, monitoring systems for model drift, and CI/CD automation for ML-based backend services
Establish robust testing, monitoring, and security frameworks including unit/stress testing, vulnerability assessments, and customer usage analytics
Drive technical excellence through documentation, code reviews, standardized practices, and strategic technology stack recommendations

AWS Backend Development Docker PostgreSQL Python SQL Cloud Computing GCP Kafka Kubernetes Machine Learning MLFlow MongoDB Rabbitmq Airflow FastAPI Redis Nosql CI/CD RESTful APIs Microservices

Posted about 7 hours ago

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🔥 Lead Pre-Sales Solution Architect – Data, Analytics, AI & Automation (Microsoft Focus)

Posted about 7 hours ago

📍 United States

🔍 Manufacturing

🔧 Requirements

10+ years of experience in data, analytics, and solution architecture roles.
Proven success in a pre-sales or client-facing architecture role.
Deep understanding of Microsoft Azure data services, including: Azure Synapse, Data Factory, Data Lake, Databricks/Spark, Fabric, etc.; Power BI (Pro & Premium); Azure AI, Machine Learning, and Robotic Process Automation
Experience aligning modern data architectures to business strategies in the manufacturing or industrial sector.
Experience scoping, pricing, and estimating delivery efforts in early-stage client engagements.
Clear and confident communicator who can build trust with technical and business stakeholders alike.
Knowledge of Microsoft D365 and integration into enterprise architectures is a plu

💡 Responsibilities

Lead strategic discovery sessions with executives and business stakeholders to understand business goals, challenges, and technical landscapes.
Define solution architectures and delivery roadmaps that align with client objectives and Microsoft best practices.
Scope, estimate, and present proposals for complex Data, AI, and Azure-based projects.
Partner with Sales to develop compelling business cases, differentiators, and value-based messaging.
Represent MCA Connect in client presentations, workshops, and industry events.
Architect end-to-end data and analytics solutions using Microsoft Azure (Data Lake, Synapse, ADF, Power BI, Microsoft Fabric, Azure AI Services, etc.).
Evaluate data readiness, design cloud migration plans, and establish data governance and MDM strategies.
Bring innovative thinking to build scalable, secure, and performant cloud-native solutions.
Oversee solution quality from ideation through handoff to delivery teams.
Support and guide sales consultants in an effort to align solutions, progress deals and effectively close business.
Collaborate with Delivery to ensure project success and customer satisfaction.
Contribute to thought leadership, IP development, and reusable solution frameworks.
Stay on the edge of innovation by exploring new Azure capabilities, Generative AI, Copilot extensibility, and Fabric developments.

SQL Cloud Computing Data Analysis ETL Machine Learning Microsoft Azure Microsoft Dynamics Microsoft Power BI Microsoft SQL Server Software Architecture REST API Data visualization Data modeling Data analytics Data management

Posted about 7 hours ago

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🔥 Lead Product Designer

Posted about 7 hours ago

📍 United States

🧭 Full-Time

🔍 Fintech

🏢 Company: AffiniPay👥 501-1000💰 Private 11 months agoFinancial Services Payments FinTech

🔧 Requirements

9+ years of experience in UX/Product Design, with 2+ years in a lead-level capacity
Mastery of industry-standard design tools
Expert knowledge of research methodologies and tools
Exceptional communication, presentation, and negotiation skills

💡 Responsibilities

Define & Champion Strategic Product-Led Growth
Build & Lead Cross-Functional Partnerships
Cultivate User Empathy & Design Excellence
Elevate Design Craft & Systemic Impact
Inspire & Influence Design Organization
Drive Organizational Scalability & Efficiency
Pioneer Innovation & Future Vision

Leadership Adobe Creative Suite Figma Machine Learning Product Management UI Design User Experience Design Cross-functional Team Leadership Product design Communication Skills Analytical Skills Collaboration Agile methodologies RESTful APIs Mentoring Data visualization Strategic thinking Prototyping

Posted about 7 hours ago

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