Learn how to research and connect with remote companies that match your values and skills.
Filters Applied
Clear All- Entry Level (3)
- Experienced (52)
- Senior Level (30)
- Executive Level (1)
- Some College (2)
- Bachelors (21)
- Masters (52)
- Doctorate (8)
Experienced / Information Technology / Masters Remote Python Data Jobs
Data Scientist
modeling Build, train, and evaluate custom machine learning models for security use-cases Required Qualifications Master's degree in computer science/engineering 4-5 years of experience in data science or a related field Strong proficiency in Python...programming language Experience with data analysis and visualization tools (e.g., Pandas/Polars, NumPy, Matplotlib, Seaborn) Knowledge of machine learning algorithms and techniques
Data Engineering Manager
equivalent industry experience 10+ years of relevant data engineering experience 5+ years of management experience, including team recruitment and development Advanced experience in building ML data pipelines and expert SQL skills In-depth knowledge of Python...for data processing and experience with AWS data capabilities
Data Scientist
address challenges using data solutions Required Qualifications Bachelor's or advanced degree in science, technology, engineering, or math; or equivalent experience 2+ years of experience working with data and solving complex problems Advanced Python...skills for data retrieval, cleaning, modeling, and analysis Content knowledge in climate, building electrification, utilities, and/or renewable energy Experience with collaborative coding practices and providing constructive feedback
- FREE COURSEMaster the Remote Job Hunt
Learn proven methods to find and land the remote job you want free with registration.
Data Engineer II
Key Responsibilities Design, develop, and maintain data pipelines using Azure Databricks, Apache Spark, and Python Collaborate with data engineering teams to integrate data from various source systems to Azure Ensure data quality, integrity, and security
Clinical Analytics Specialist
integration issues and conduct capacity planning Required Qualifications Associate's degree in computer science, mathematics, finance or related field 2-3 years of experience in data analysis or business intelligence Experience with healthcare or medical data...preferred Proficient in SQL, Python or R for data analysis, and Excel Experience with data pipeline development and scheduling
Artificial Intelligence Architect
related field preferred 15+ years of specialized experience in Company systems required Proven success in architecting and deploying ML workflows in cloud environments Hands-on experience with ML/DL frameworks and strong programming skills in Python...Familiarity with federal data governance, security, and privacy standards
Principal AI Research Scientist
technologies and methodologies to enhance product development and customer experience Required Qualifications 7+ years of experience in Machine Learning and Predictive Modeling, with expertise in Generative AI and Agentic AI Advanced proficiency in Python...and PyTorch for data manipulation and AI/ML model training Experience in software development and collaboration across teams Advanced degree (Ph.D. or M.S.) in Statistics, Applied Mathematics, Data Science, Computer Science, or a related field Ability
Senior Data Scientist
., Python, R, SQL) and data visualization tools (e.g., PowerBI, Tableau) Experience working with cloud platforms (e.g., AWS, Azure, GCP) and version control tools such as Git Experience with machine learning and natural language processing algorithms
Senior Data Scientist
Statistics, Computer Science, or a related field 2+ years of experience in quantitative analysis within a consumer-focused organization Experience with statistical modeling on large data sets and SQL Proficiency in programming languages, preferably Python...Ability to interpret large data sets and work independently or in teams
Data Engineer
Qualifications Bachelor's or Master's degree in Computer Science, Data Engineering, or a related technical field 3-5+ years of experience in building and supporting complex data systems in cloud environments Strong programming skills in Java, Scala, or Python...Deep knowledge of distributed data processing frameworks such as Spark, Kafka, or Flink Experience with cloud services (preferably AWS) and containerized environments (Docker, Kubernetes)
