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Remote Python Data Jobs
Data Scientist II
Qualifications, Training, and Education 3+ years of experience in Data Science and GenAI driven products Proven experience with data mining, analysis methods, and model implementation Experience with statistical programming languages, preferably Python..., for data manipulation Bachelor's Degree in Quantitative Science or related field; Master's preferred Healthcare experience is preferred
Quantitative Analyst
metrics, dashboards, and automated reports Required Qualifications 3+ years of experience in developing statistical, econometric, or machine learning models Advanced skills in T-SQL for data extraction, transformation, and analysis Proficiency in Python...for data analysis, statistical modeling, and process automation Experience in evaluating business metrics and KPIs for identifying improvement opportunities College degree preferred
Telecom Data Analyst
Qualifications Minimum 3 years of experience in data analytics or business intelligence in telecom or OSP engineering Proficient in Power BI, Excel, SharePoint, PowerApps, and Power Automate Familiarity with SQL for managing relational databases and basic Python...for data manipulation Understanding of OSP engineering principles and telecom infrastructure Strong analytical skills and a continuous improvement mindset
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Data Scientist
data analysis to identify trends, patterns, and anomalies, and communicate findings to stakeholders Required Qualifications 1-3 years of experience in data analytics, business intelligence, or a data-focused role Demonstrated proficiency in SQL and Python...for data manipulation and analysis Experience in building and maintaining data dashboards using visualization tools Foundational understanding of statistics and practical experience in identifying data trends and anomalies Proven ability to work cross-functionally
Business Systems Analyst
activities and roadmap planning Design and execute test plans, troubleshoot issues, and ensure compliance with company standards Required Qualifications Five (5) or more years of experience as a Business Systems Analyst Familiarity with Databricks, Python..., and data ingestion mechanisms (APIs, SFTPs, JSON, Flat files) Knowledge of Agile/scrum processes and prioritization Two (2) or more years of quality assurance experience Ability to work independently and manage assignments effectively
Senior Analytics Engineer
datasets for analytical workflows Collaborate with analysts and data scientists to develop scalable data models Required Qualifications Proficiency with SQL and experience in transforming complex data into meaningful aggregations Ability to develop Python...code for data processing and automation Experience with data warehousing concepts and analytics engineering best practices Experience working with big data and optimizing for performance and cost efficiency Familiarity with Google Cloud Platform (
Senior Analytics Engineer
of building modular and performant models Experience with modern data stacks and tools; familiarity with BigQuery and Metabase is a plus Strong collaborative approach to working with both business and technical stakeholders Bonus: familiarity with Python...for scripting, data validation, or orchestration tasks
Growth Data Engineer
Ensure real-time availability of customer data across marketing channels and dashboards Develop frameworks for data reliability, governance, and incident response while collaborating cross-functionally Required Qualifications Strong experience with Python..., SQL, and data engineering systems Familiarity with full stack engineering and experience with Go, React, Node.js, and Typescript/Javascript Hands-on experience with cloud-native tools like Snowflake, Airflow, and containerization technologies Proven
Data Analytics Lead Consultant
., SharePoint, Excel, Teams) preferred Knowledge of Company claims preferred Familiarity with Python or R for data analysis Experience in data governance practices
Data Scientist
success metrics Create visualizations and reports to communicate complex data insights Required Qualifications Bachelor's degree in Statistics, Data Science, or a related field 10+ years of experience in programming and scripting languages (SQL, Python...Experience in data analysis and statistical modeling Proficiency in data visualization tools Experience in developing predictive models and conducting research
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