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Experience with designing and maintaining data warehouses and/or data lakes with big data technologies such as Spark/Databricks, or distributed databases, like Redshift and Snowflake, and experience with housing,accessing, and transforming data in a variety of relational databases.
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Collect and manipulate multiple sources of data to analyze the state of our clients' businesses across multiple channels (paid search, display media, website, social media, advertising campaigns, offline media, brand sales and brand equity) ensuring accuracy of the output.
$200ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proficiency in big data analysis, R/Python coding, and Power BI visualization is essential. Collaborate on projects with Office of Court Research, Information Technology Office, and others as needed to assess the analytical needs of the courts and design and provide data analytics to court appointed counsel and the courts.
$7,082 - $10,623 a monthFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Advanced proficiency with data, analytics, and visualization technologies (we use SQL, Looker, and Python). As a Data Scientist on the Square Loans team, you will partner with cross functional stakeholders like Product, Credit Policy, Engineering, and Operations to shape and execute strategies that expand credit eligibility, enhance loan gross profit, and improve cohesive banking user experience on a global scale.
$120,700 - $213,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. Internal knowledge of open source or related big data technologies. As a member of the Data Engineering Web3 team, you own the ETL/ELT pipelines and data warehouse that are used to analyze trends and activity in our Web3 product offerings.
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Comfortability with data warehouses and big data technologies such as Redshift, Snowflake, Big Query, Presto, Athena, Spark, DBT. The ideal candidate will be adept in navigating the data stack and able to support initiatives in all facets from analytics/data engineering and product analytics to machine learning.
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Proficiency in a variety of technologies such as SQL, Bash, Python, Java, Presto, Spark, AWS, DataOps, DevSecOps, data streaming like Kafka, RabbitMQ, data stacks like Airflow, Databricks, dbt, and data stores like Snowflake, Cassandra, Aurora.
$165,800 - $265,625 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Python (Pandas, Numpy) Tableau, Airflow, Looker, Mode, Prefect Additional Information Block takes a market-based approach to pay, and pay may vary depending on your location. In this role, you’ll be embedded in the Risk & Fraud organization and work closely with machine learning, product management as well as other cross-functional partners to drive strategy using a variety of data science techniques and own north star metric monitoring.
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Implement back-end components for data processing and integration using Python libraries and frameworks. Technologies to be Used: Python Django Flask Pandas HTML CSS JavaScript React.
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Fpga, Vhdl, dsp, digital signal processing, xilinx, Python, Linux, efinix, OSVVM. -Project Management -Sensor development -Data acquisition -Mentor. Fpga, Vhdl, dsp, digital signal processing, xilinx, Python, Linux, efinix, OSVVM.
$108 an hourExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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They will be responsible for leveraging data to enable robust testing and monitoring processes and risk management strategies against existing risks across Cash App’s ecosystem, as well as new and emerging risks.
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Support the company's design-for-construction and materials qualification efforts by performing Finite Element Analysis (FEA), analytical assessment and data analysis. Fortran, Python and Matlab.
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Fluent in Python data analysis tools (numpy, pandas, Jupyter notebook, biopython) Act as a data steward, who manages, organizes, and provides access to datasets generated across a protein engineering campaign.
$115,000 - $165,000 a yearFull-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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In addition to the responsibilities listed below, this position is also responsible for overseeing all phases of data management, quality control, and reporting; programming in analytical programming languages (may include SAS, SQL, SPSS, R, Python, etc.
$130,600 - $169,070 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proficient in programming languages such as Python, R, SQL, and SAS. Experience with data visualization tools such as Tableau, MixPanel, Google Looker. The Lead Data Scientist will formulate Glo’s data strategy and work with the Data Engineer to implement the appropriate architecture and execute on the strategy.
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