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Masters / Experienced Remote Python Data Jobs
Principal Data Scientist
implement models to predict and prevent customer churn Establish a center of excellence for data science practices and standards Required Qualifications 7+ years of hands-on experience in data science and machine learning Expert-level proficiency in Python..., data manipulation libraries, and SQL Deep experience with various ML techniques and end-to-end ML lifecycle Experience with version control systems like Git Advanced degree in a quantitative field is preferred
Analytics Enablement Manager
scalable data frameworks and ensure data quality and compliance with privacy regulations Required Qualifications Master's degree in Business Analytics, Statistics, or a related field Two years Company experience in data science and analytics Proficiency in Python...programming for data analysis Experience with SQL Server and advanced SQL scripting Knowledge Company cloud technologies and data visualization tools
Senior Data Scientist
Qualifications 5+ years of experience in building and deploying machine learning models Bachelor's or Master's degree in a quantitative discipline Full stack data science experience in production environments Expert-level programming skills in Python...and proficiency with data science libraries Excellent SQL skills and experience with large data warehouses
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Digital Commerce Analytics Consultant
Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field 3+ years of experience in data science and advanced analytics, preferably in digital commerce or retail media Proficiency in programming languages such as Python...or R Experience with data visualization tools like Tableau or Power BI Familiarity with digital marketing metrics and KPIs
Data Scientist
data requirements and ensure alignment with business objectives Required Qualifications Bachelor's or Master's degree in Data Science, Computer Science, Biostatistics, or a related field 3+ years of experience working with clinical or healthcare data...Proficiency in SQL and Python for data manipulation and analysis Familiarity with data privacy and security practices Strong understanding of pharmaceutical industry operations and marketing analytics
Data Scientist
deploy production-ready models Collaborate with data engineering and analysts for quality integration into data pipelines Required Qualifications 3+ years of experience in building and deploying machine learning models Professional experience with Python...and data libraries such as numpy and pandas Experience with MLOps, including git-based version control and automated testing SQL expertise in modern data warehousing and data pipeline integration Master's degree in economics, Mathematics, Statistics
Senior Data Analyst
Qualifications Master's degree in Data Analysis or a related field 5+ years of hands-on data analysis experience after earning the degree Strong expertise in data profiling, validation, and quality assurance Experience working with structured transactional data...Proficiency with Python and Git for data tasks and collaboration
Senior Actuarial Associate
-7 years of experience in Finance, Analytics, Data Visualization, or a related field Proficiency in SQL for querying large and complex data sets Experience with at least one major BI tool (Tableau, Power BI, or Amazon QuickSight) Familiarity with Python...for data visualization or automation Bachelor's degree in Finance, Data Science, Computer Science, Statistics, or a related field preferred
Data Science Manager
Science, Management Information Systems, Business Analytics, or a related field plus 2 years of relevant experience Alternatively, a Bachelor's degree in a related field plus 5 years of progressive experience is acceptable Experience with SQL, R, SAS, Python..., and data visualization tools such as Tableau Knowledge of statistical modeling techniques including regression analysis and decision trees Ability to telecommute is permitted for this position
Freelance GenAI Developer
Key Responsibilities Develop and submit precise answers based on complex prompts, including coding and data processing tasks Write and optimize Python scripts for data analysis and automation Work with large datasets to ensure data quality and troubleshoot
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