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At least 6 months of experience with either Python, R or SQL. If you're interested in a long-term career at Capital One, the Data Science internship could be a great way to begin your career journey.
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Creates database-to-deployment pipelines for models using the necessary programming languages (primarily R, Python, SQL) and tools (AWS SageMaker, Dataiku, Databricks etc. Proficient in Python, SQL, Git, and Jenkins and in frameworks such as scikit-learn, Keras, PyTorch, Tensorflow, etc.
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Your expertise in Python/R, SQL, Power BI, Power Apps, Advanced Analytics, and Databricks will be essential in this role. Utilize Python or R for advanced analytics and statistical analysis to uncover trends and insights.
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Tech Stack – Snowflake, Databricks, Python, pyspark, Databricks, SQL and Azure. Strong Experience in Snowflake, Matillion, Python, PySpark and SQL. This position requires an innovative software engineer who is passionate about data & data quality.
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Experience in Excel, Stata, Python, R, SQL, SAS, ArcGIS/ArcPy, or Cloud computing (Databricks/Spark, Google Cloud, Azure, AWS); Program, build models, and perform regression analyses using languages such as Excel, Stata, R, Python, SQL, or SAS.
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Proficient in SQL, Python, and data visualization tools like Looker or Power BI. Certifications: Google Cloud Professional Data Engineer or Professional Cloud Architect certification preferred.
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7+ years ofquantitative expertise: statistics, mathematics, and computer science (python / SQL required) Together with the quantitative PM, co-manage equity derivative portfolios in one or more segments of the general investment or corporate investment accounts.
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Deep knowledge of technologies that underlie identity solutions: LDAP (including Active Directory), SSL/TLS, PKI, RADIUS, SQL, DNS, JDBC.Experience with one or more modern programming languages, web technologies or mobile OSes: JavaScript, Python, Node.js, HTTP, HTML, CSS, JSON, Java, iOS, Android.
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Strong SQL skills and hands-on experience with analytic tools like R & Python & visualization tools like Qlik or Tableau. Experience leveraging complex data to drive business decisions, hands-on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Python, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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Demonstrated proficiency with data science languages (R, Python, SQL, Julia, SAS) and visualization tools (Tableau, Spotfire, SAS, JMP, RShiny) Demonstrated proficiency with data science languages (R, Python, SQL, Julia, SAS) and visualization tools (Tableau, Spotfire, SAS, JMP, RShiny.
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Knoledge in Databricks, PowerBI, programing languages including SQL, Python and PySpark, data principles including data pipeline, streaming data, data storage, ETL, data integration, database design Leadership (Vision, strategy and business alignment, people management, communication, influencing others, managing change.
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Demonstrated experience with at least one of the following: Python, R, Tableau, Excel or SQL with structured and non-structured data mart. The Centralized Modeling & Analytics (CMA) team within State Street’s Enterprise Risk Management (ERM) organization is looking for an experienced quantitative analyst to join our team in Boston, MA; Stamford, CT OR Clifton, NJ.
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Proficiency in processing and manipulating large data in SQL and Python/R/SAS and Excel (Power Query, VBA) Serving the life sciences industry, including the top 20 global biopharmaceutical companies, consistently ranked as one of the top consulting firms by Vault, and maintaining a true global team of experts with 400+ talented team members sitting across 3 continents, we offer a unique opportunity to play a central role in supporting our clients.
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Relevant analytical/programming experiences in the life science industry, including: Proficiency in processing and manipulating large data in SQL and Python/R/SAS and Excel (Power Query, VBA.
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Proficient in scripting and automation using PowerShell, Azure CLI, Python, Azure DevOps, and Azure Logic Apps. Integrate and automate tasks and processes using PowerShell, Python, Azure CLI, Azure DevOps, PowerAutomate, and Azure Logic Apps.
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one python sql jobs Title: lead software engineer Company: Jobs For Humanity in Cambridge, MA
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