Filters Applied
Clear All- Entry Level (1)
- Experienced (7)
- Senior Level (3)
- Executive Level (8)
Information Technology / Executive Level / Permanent Remote Python Jobs
Senior Backend Engineer
development process Required Qualifications 4-8 years of industry experience in building backend software services Bachelor's or Master's degree in computer science or equivalent experience Proficiency in one or more programming languages such as Python
Vice President of Data Technology
., Snowflake, Python) Leadership experience in building and managing technical teams Understanding of HIPAA/SOC-2 security standards and testing protocols
Vice President of Analytics
., SQL, Python, Tableau)
- COACHINGFree Coaching - Learn From the Pros
Get access to expert-led coaching session recordings on AI, resumes, LinkedIn, interviewing, and more when you register.
Data Scientist I - QA
professional experience 3+ years of experience in advanced statistical analytics and Big Data environments 1+ years of experience developing machine learning models in commercial analytics environments 3+ years of experience with SQL and proficiency in Python
Performance Marketing Data Analyst
Required Qualifications Bachelor's degree in a relevant field such as computer science, data science, or marketing 5+ years of experience as a data analyst, preferably in a marketing or advertising setting Proficiency in data analysis tools like SQL, Python
Senior Strategy Analyst
Bachelor's degree in Business, Finance, Computer Science, Economics, or Statistics; Master's preferred 3-5 years of experience in business decision-making support through reporting and analysis Advanced skills in Excel and SQL; familiarity with Python
Senior Advisory Solution Consultant
background in data engineering and hands-on experience with data ingestion and ETL processes Familiarity with integration technologies, including REST APIs and middleware solutions Working knowledge of programming languages such as JavaScript, SQL, and Python
Knowledge Graph Engineer
years of experience designing or implementing production knowledge graphs with a commercial semantic platform Expert knowledge of RDF/OWL, SPARQL, and graph-query optimization Strong cloud data-architecture skills in Azure, AWS, or GCP, and fluency in Python