Remote Data Science Jobs

Pandas

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

225 jobs found.

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

Apply

🔥 Senior Data Scientist- Brand Experience, remote across ANZ

Posted 1 day ago

📍 Australia, New Zealand

🔍 Software Development

🔧 Requirements

Drive impact with data
Excel in core data science skills
Demonstrate key soft skills
Bring additional technical expertise
Have a strong analytical foundation
Understand the dynamics of tech companies
Have hands-on experience with large-scale data

💡 Responsibilities

Uncovering strategic insights
Designing and analyzing experiments
Defining and influencing with metrics
Providing data for decision-making

Python SQL Data Analysis Data Mining Machine Learning Numpy Tableau Product Analytics Algorithms Data science Data Structures Pandas Communication Skills Analytical Skills Data visualization Data modeling Data analytics A/B testing

Posted 1 day ago

Apply

🔥 Senior Analyst, Internal Audit - Data Scientist (L09)

Posted 2 days ago

📍 India

🧭 Full-Time

🔍 Internal Audit

🏢 Company: careers

🔧 Requirements

Minimum 3+ years of experience writing and optimizing SQL/SAS queries in a business environment or 5+ years of experience in lieu of a degree
Knowledge of data warehouse technical architecture, ETL and analytic tools in extracting unstructured and structured data
Experience in building algorithms and coding proficiency in Python is required
Experience with visualization software Tableau or Power BI
Experience managing, moving, and manipulating data from multiple sources
Familiar with segmentation techniques such as decision trees or k-means clustering
Familiar with model development techniques such as logistic regression, random forest, or gradient boosting
Ability to provide analytic support including pulling data, preparing analysis, interpreting data, making strategic recommendations, and presenting to client/product team
Ability to clearly explain technical and analytical information (verbally, written, and in presentation form) and summarize for key stakeholders
Outstanding communications, relationship building, influencing, and collaboration skills
Strong project management, communications, multi-tasking, ability to work independently

💡 Responsibilities

Deliver advanced analytics to support the audit plan, including cycle audits, issue validation, remediation activities and special projects
Design and deploy analytic scripts and dashboards to communicate actionable insights to audit stakeholders.
Document analytic results and findings into audit workpapers.
Ensure the accuracy and integrity of data used in audit engagements through data transformation techniques.
Deploy automation on repetitive audit tasks using data analytics and data engineering techniques.
Collaborate with Internal Audit teams to understand audit test objectives and data requirements.
Collaborate with remediation teams to ensure data insights are effectively integrated into action plans.
Lead projects from beginning to end, including ideation, data mining, strategy formulation, and presentation of results and recommendations.

Python SQL Data Analysis Data Mining ETL Excel VBA Machine Learning Numpy SAS EG Tableau Algorithms Data engineering Data science Pandas RESTful APIs MS Office Data visualization Data modeling

Posted 2 days ago

Apply

🔥 Machine Learning Engineer

Posted 3 days ago

📍 England, Scotland, Portugal, Poland, Spain

🔍 Robotics

🏢 Company: Locus Robotics👥 251-500💰 $117,000,000 Series F over 2 years agoWarehousing Logistics Industrial Automation E-Commerce Warehouse Automation Robotics

🔧 Requirements

4+ years of hands-on experience designing and deploying machine learning models in production, with a focus on reinforcement learning (RL) and multi-agent systems (MAS).
Advanced Python programming skills, with a strong emphasis on writing efficient, scalable, and maintainable code.
Proven experience with TensorFlow/PyTorch/Jax, Scikit-learn, and MLOps workflows.
Experience working with Polars and/or Pandas for high-performance data processing.
Proficiency with cloud platforms (AWS, GCP, or Azure), including containerization and orchestration using Docker and Kubernetes.
Hands-on experience with reinforcement learning frameworks such as OpenAI Gym or Stable-Baselines3.
Practical knowledge of optimization algorithms and probabilistic modeling techniques.
Experience integrating models into real-time decision-making systems or multi-agent RL environments (MARL).

💡 Responsibilities

Utilize, develop, and enhance simulation tooling and infrastructure.
Develop, deploy, and maintain machine learning models, with a strong focus on reinforcement learning (RL) and multi-agent systems (MAS).
Implement and improve MLOps pipelines.
Collaborate with data engineers and software developers to ensure seamless integration of machine learning models with existing infrastructure and data pipelines.
Stay up to date with advancements in reinforcement learning, distributed computing, and ML frameworks to drive innovation in the organization.
Work with cloud-based solutions (AWS, GCP, or Azure) to deploy and manage machine learning workloads in a scalable manner.

AWS Docker Python SQL Cloud Computing Data Analysis Kubernetes Machine Learning PyTorch Algorithms Data science Pandas Tensorflow

Posted 3 days ago

Apply

🔥 Senior Machine Learning Engineer

Posted 3 days ago

📍 Mexico, Argentina, Brazil, Peru, Costa Rica

🔍 Software Development

🏢 Company: Teramind👥 51-100 Productivity Tools Security Cyber Security Enterprise Software Software

🔧 Requirements

5+ years of hands-on experience in implementing and scaling production machine learning systems.
Strong software engineering skills, with a focus on machine learning implementation and optimization.
Proficiency with popular machine learning frameworks and tools (e.g., TensorFlow, PyTorch) to drive model development.
Understanding of distributed computing principles and experience with real-time data processing architectures.
Experience in deploying systems for efficient batch processing and online ETL (Extract, Transform, Load).
Familiarity with model optimization techniques and performance tuning to ensure efficient operation.
Experience with machine learning applications focused on security is a plus and will be highly regarded.

💡 Responsibilities

Implement and optimize machine learning models for production environments, ensuring they meet scalability and reliability standards.
Design and build robust data processing pipelines for real-time anomaly detection, enhancing our capability to respond to user behavior dynamically.
Develop comprehensive systems for monitoring model performance and effectiveness, allowing for quick adjustments and improvements.
Create infrastructure for ongoing model training and refinement to adapt to new data and evolving user needs.
Work closely with data scientists to efficiently implement algorithms, ensuring alignment with our overall system architecture.
Collaborate with software engineers to seamlessly integrate machine learning capabilities into our platform, enhancing user experience and functionality.

Python ETL Machine Learning Numpy PyTorch Algorithms Data engineering Data science Data Structures Pandas Tensorflow Data visualization Software Engineering

Posted 3 days ago

Apply

🔥 Principal AI Engineer (Indonesia)

Posted 3 days ago

📍 Indonesia

🧭 Full-Time

🔍 Financial Services

🏢 Company: Bjak👥 101-250 Price Comparison InsurTech Information Technology

🔧 Requirements

Bachelor's, Master’s, or Ph.D. in Computer Science, Artificial Intelligence, Data Science, or a related field.
Proven experience as an AI Engineer, Principal Engineer, or Data Scientist, with a track record of leading successful AI projects.
Proficiency in AI and ML frameworks and programming languages (e.g., Python, TensorFlow, PyTorch, Scikit-learn).
Strong expertise in data preprocessing, feature engineering, and model evaluation.
Experience in deploying and optimizing AI models in a production environment.
Excellent problem-solving, analytical thinking, and debugging skills.
Strong leadership, communication, and team management abilities.
Passion for staying at the forefront of AI and machine learning advancements.

💡 Responsibilities

Lead and mentor a team of AI engineers, providing technical guidance, coaching, and fostering their growth.
Collaborate with product managers and stakeholders to define AI project objectives, requirements, and timelines.
Design, develop, and implement AI models, algorithms, and applications to solve complex business challenges.
Oversee the end-to-end AI model lifecycle, including data collection, preprocessing, model training, evaluation, and deployment.
Stay updated with the latest advancements in AI and machine learning, incorporating best practices into projects.
Drive data-driven decision-making through advanced analytics and visualization techniques.
Ensure the security, scalability, and efficiency of AI solutions.
Lead research efforts to explore and integrate cutting-edge AI techniques

AWS Docker Leadership Python SQL Apache Airflow Artificial Intelligence Data Analysis Keras Machine Learning MLFlow Numpy PyTorch Algorithms Data science REST API Pandas Tensorflow Communication Skills Analytical Skills CI/CD Problem Solving Data visualization Team management Debugging

Posted 3 days ago

Apply

🔥 Data Science Team Lead

Posted 3 days ago

📍 Rīga, Tallinn, Barcelona

🔍 Software Development

🔧 Requirements

5+ years of experience in data science, machine learning, or AI.
2+ years of proven leadership experience, managing a team of data scientists and overseeing projects from ideation to deployment.
Experience in a marketplace or product-driven company.
Hands-on expertise in model development, optimization, and deployment in production.
Familiarity with MLOps best practices to ensure scalable and maintainable ML workflows.
Proficiency in Python-based ML frameworks for model development and analysis.
Experience with SQL for data querying and manipulation.
Knowledge of cloud platforms, with AWS preferred, for ML model deployment.
Proven ability to solve real-world ML problems at scale.
Strong cross-functional collaboration skills, working with product, engineering, and business teams.
Ability to balance hands-on technical work with strategic planning and team leadership.
Experience in hiring, scaling teams, and fostering a high-performance ML culture.

💡 Responsibilities

Lead a team of 7 data scientists, providing functional guidance and direction.
Organize regular 1:1s with data scientists to ensure alignment and support.
Mentor and coach data scientists to strengthen their technical expertise and business understanding.
Conduct performance reviews, set development goals, and provide career growth guidance.
Establish and evaluate optimal team rituals to enhance project delivery.
Increase the organizational impact of the machine learning team by improving collaboration and innovation practices.
Stay up to date with advancements in machine learning and AI, driving their application within the business.
Collaborate with the MLOps team to ensure infrastructure and ML platforms meet data science needs.
Define and track KPIs for machine learning projects, proactively addressing any issues.
Work closely with ML product managers to: Define the vision of machine learning within the company. Explore and discuss potential ML applications for business challenges.

AWS Leadership Python SQL Cloud Computing Data Analysis Machine Learning Numpy Product Management PyTorch Cross-functional Team Leadership Algorithms Data engineering Data science Pandas Tensorflow Communication Skills Analytical Skills CI/CD Problem Solving RESTful APIs Mentoring Cross-functional collaboration Data visualization Team management Strategic thinking Data modeling Data management

Posted 3 days ago

Apply

🔥 Machine Learning Data Scientist

Posted 4 days ago

📍 United States

🧭 Full-Time

🏢 Company: Marketing Architects👥 251-500 Advertising TV Production

🔧 Requirements

Deep knowledge of machine learning concepts and techniques.
Well-developed technical skills in machine learning frameworks (TensorFlow, PyTorch, scikit-learn), programming languages (like Python, R), cloud-based modeling/model deployment (Docker, Data Bricks, Azure, etc.) and data manipulation tools (SQL, pandas, Spark).
Experience with data collection, cleaning and transformation, and you can extract meaningful insights from raw data.

💡 Responsibilities

Developing and training machine learning models to solve complex business problems.
Analyzing large datasets to extract actionable insights and inform business decisions.
Collaborating with cross-functional teams to understand requirements and deliver data-driven solutions.
Deploying and monitoring ML models in production environments to ensure performance and accuracy.
Continuously improving models and algorithms based on feedback and new data.

Docker Python SQL Cloud Computing Data Analysis Machine Learning PyTorch Algorithms Azure Data science Pandas Spark Tensorflow Data visualization Data modeling

Posted 4 days ago

Apply

🔥 Lead Data Scientist

Posted 4 days ago

📍 United States

🧭 Full-Time

💸 135000.0 - 175000.0 USD per year

🔍 Software Development

🏢 Company: CodePath👥 11-50💰 $50,000,000 Grant 6 months agoEducation Communities Training Mobile

🔧 Requirements

3+ years of relevant professional experience in data science, machine learning, or a related field
Strong foundation in statistics, data analysis, and machine learning algorithms
Proficient in Python or R, with experience in using libraries such as pandas, scikit-learn, TensorFlow, or PyTorch
Experience working with cloud-based platforms such as Google Cloud, AWS, or Azure, especially in deploying machine learning models and querying data from data warehouses
Substantial experience in SQL and working with large datasets, including data wrangling, cleaning, and transformation
Familiarity with data engineering tools and concepts, and a strong understanding of how data models and pipelines support advanced analytics

💡 Responsibilities

Work with senior leaders to set and execute on a strategy for measuring and evaluating CodePath's impact
Collaborate with data engineers and stakeholders to design, refine, and deploy data pipelines that feed models and analytics processes
Create and maintain dashboards, visualizations, and reports that communicate complex analyses in a clear and actionable manner using tools like Tableau or other BI platforms
Perform exploratory data analysis (EDA) to identify trends, patterns, and insights, and communicate findings to stakeholders
Develop and implement models, including statistical and machine learning models, to support business decision-making
Develop and maintain data processing workflows for model training, evaluation, and deployment
Work closely with cross-functional teams to understand their data needs and translate business problems into analytical questions
Develop and maintain documentation for data science workflows, models, and methodologies that help achieve business goals and support impact measurement

AWS Python SQL Cloud Computing Data Analysis Git Machine Learning PyTorch Tableau Algorithms Data engineering Data science Pandas Tensorflow Communication Skills Analytical Skills Problem Solving Data visualization Data modeling Data analytics

Posted 4 days ago

Apply

🔥 Data Scientist (Applied Machine Learning)

Posted 4 days ago

📍 Europe

🧭 Full-Time

🔍 Hospitality

🏢 Company: Nory

🔧 Requirements

A scientific approach to problem solving based on crafting and testing hypotheses
The ability to write clean and maintainable python code
Real world experience deploying algorithms into production
Strong fundamentals in ML theory
Familiarity with cloud infrastructure

💡 Responsibilities

Design, build and deploy production new machine learning algorithms
Monitor, maintain and iterate on existing algorithms
Work closely with product and engineering on collaborative feature releases
Contribute to the wider data and tech community at Nory

Python Cloud Computing Machine Learning MLFlow Numpy Algorithms Data science Data Structures Pandas RESTful APIs

Posted 4 days ago

Apply

🔥 Senior AI Engineer

Posted 4 days ago

📍 Canada

🧭 Full-Time

🔍 Software Development

🏢 Company: Procurify👥 101-250💰 $20,000,000 5 months agoCloud Computing SaaS Supply Chain Management Enterprise Software FinTech Software Procurement

🔧 Requirements

4-6+ years in a similar Machine Learning or Data Scientist role, including 2+ years experience in LLMs.
Proven experience as the first ML engineer or a similar role, demonstrating a strong ability to build ML and AI systems from the ground up.
Demonstrated experience building AI apps in production.
Proficiency in machine learning frameworks and libraries (e.g. Tensorflow, PyTorch, scikit-learn, Pandas)
Experience in building with LLMs such as GPT, Claude, Llama etc and strong understanding of LLM architectures and tools (Llamaindex, vector databases, Transformers, Langchain etc)
Experience with ETL/ELT tools, Data Lakehouse tech (Databricks, Python, Apache Spark, Hive, Parquet) and advanced SQL knowledge.
Strong programming skills in Python and familiarity with additional languages and tools commonly used in ML engineering.
Comfortable leading by example and using influence to drive collaboration, documentation, and knowledge sharing across teams and with a broad range of stakeholders.
Able to demonstrate initiative, work independently, and thrive with autonomy while collaborating across teams in a culture of priority setting and moving forward with urgency in alignment with our organizational strategy
Adept at focusing on multiple competing priorities, solving unique and complex technical problems, and persistently resolving blockers to progress
Familiar with DevOps and MLOps principles such as design for manageability and root cause analysis
Familiar working within leading software development best practices such as scrum/kanban, CI/CD, and test automation
A strong driver to stay ahead of the curve with GenAI research and apply those insights to build real-world applications.

💡 Responsibilities

Develop and refine autonomous agents leveraging generative AI to automate and streamline user workflows, enhancing operational efficiency and user experience.
Design, create, evolve, and maintain scalable and efficient machine learning systems including, data pipelines, model training, deployment, and monitoring frameworks.
Integrate and leverage Large Language Models (LLMs) to develop advanced NLP features, including but not limited to chatbots, workflow automation agents and data analysis tools using state-of-the-art models (e.g. OpenAI, Anthropic, open source models).
Develop and enhance systems to deliver personalized experiences to our users, utilizing advanced machine learning and AI technologies to derive engagement and satisfaction.
Partner across Product and Engineering teams on requirements to create product capabilities that fundamentally rely on AI and Machine Learning.
Drive conversations within Engineering to improve and optimize the source data models, integration of the ML capabilities including those in our product platform.
Identify, design, and implement internal process improvements, including automation for data quality control and data validation, improved data delivery, and scalability.
Mentor other engineers, imparting best practices and institutionalizing efficient processes to foster growth and innovation within the team.

Python SQL ETL Machine Learning Numpy PyTorch Data engineering Data science Pandas Spark Tensorflow CI/CD RESTful APIs DevOps

Posted 4 days ago

Apply

Shown 10 out of 225

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.