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Experienced / Executive Level Remote Python Data Jobs
Data Engineer
transformation workflows using tools such as Pandas and Apache Spark Collaborate with cross-functional teams to gather data requirements and translate them into actionable data models Required Qualifications: 3+ years of hands-on experience with SQL and Python...in data engineering or analytics roles Experience with data transformation tools/frameworks such as dbt, Pandas, and Apache Spark Familiarity with cloud data platforms (e.g., Azure, AWS, Databricks) Solid understanding of ETL/ELT processes and pipeline
Data Scientist, Privacy
high-quality reports summarizing findings and contribute to research activities on re-identification risk Required Qualifications Good understanding of statistical probability distributions, bias, error, and power Familiarity or proficiency with R or Python...for data analysis Experience in applying scientific methods to practical problems through experimental design and hypothesis testing Appreciation of effective methods in data privacy and security, with awareness of relevant legislation Familiarity
Senior Product Data Analyst
Build and maintain data models that support reporting and analytics while ensuring high standards for code quality Required Qualifications 3-5+ years of experience as a data analyst or product data scientist Strong technical skills in SQL, dbt, Python..., and data visualization Ability to connect analytics to business understanding and provide actionable insights Experience navigating ambiguity and piecing together solutions Product-focused mindset to maximize utility and value for end users
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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
Machine Learning Engineer
Azure, GCP) Experience with modern software development practices including scrum/agile and Git Proficiency in building and maintaining machine learning pipelines and container applications like Docker and Kubernetes Strong programming skills in Python...and understanding of data structures and software architecture
Data Analytics Manager
quantitative field such as Data Science, Computer Science, or Statistics 8+ years of experience in data analytics or business intelligence 3+ years of people management experience, preferably with technical teams Proficiency with SQL and familiarity with Python...or R Experience with data visualization tools like Tableau or Power BI
Senior Data Engineer
Cloud-native services and AI technologies Evaluate and integrate emerging technologies into data engineering processes Automate workflows and tasks using Python, APIs, and Cloud-native services Required Qualifications 5+ years of experience in Cloud and Data...Engineering (AWS, Python, CI/CD) 3+ years of experience with data engineering and BI tools (e.g., Databricks, Snowflake) Strong understanding of Infrastructure as Code (IaC) frameworks Bachelor's Degree in Computer Science or related discipline Familiarity
Senior Data Analyst - Compliance
Key Responsibilities Manage compliance data processes, including datasets, pipelines, dashboards, and reporting Translate regulatory requests into audit-ready reports and automated data pipelines using Python and SQL Collaborate with cross-functional
Data Engineer
information delivery Ensure proper use Company version control systems and manage data pipelines and code deployments Required Qualifications At least 5 years Company experience with traditional and emerging data technologies, including RDBMS, SQL, ETL/ELT, and Python...Foundational knowledge in analyzing data systems for effective data pipeline creation Experience with cloud data warehousing platforms, preferably Snowflake, and AWS tools like Glue and S3 Strong background in Informatica (IDMC or CDI-PC) and modern
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
