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Experience with data warehousing (e.g., Databricks, Snowflake, Redshift, BigQuery, or similar) Build infrastructure for ingestion, transformation, and loading an exponentially increasing volume of data from a variety of sources using Spark, SQL, AWS, and Databricks.
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Sidekick is an open source ETL framework for syncing data between SaaS tools (Salesforce, Zendesk, Notion, etc) to vector stores, a necessary step in building GPT powered applications. You ideally have a background in data engineering and should be just as comfortable making architectural decisions as implementing them in code.
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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.
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Job Requirements: PhD degree, or foreign equivalent, in Electrical Engineering, Computer Science, Statistics or Bioengineering or a related field plus 3 years as a Data Scientist or any job title/occupation/position involving Data Sciences.
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The Pirruccello lab is also part of the Bakar Computational Health Sciences Institute and the Institute for Human Genetics at UCSF, and the Data Scientist will be part of the larger computational community and infrastructure.
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Our products are trusted by leading companies including PayPal, Visa, FTX, Uniswap, Anchorage, and federal agencies such as the FBI and IRS. Every day, we tackle challenges in data engineering, data science, and threat intelligence to advance our mission to build a safer financial system for billions of people.
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We are open to proficiency in a variety of technologies: SQL, Bash, Python, Java, Presto, Spark, AWS, DataOps, DevSecOps, data streaming like Kafka, RabbitMQ, data stacks like Airflow, Databricks, dbt, and data stores like Cassandra, Aurora, ZooKeeper.
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Remote Data Analyst. Experience working in Databricks (including delta live tables, data lakehouse patterns, etc.) Expertise with Python and the Python data stack (e.g., numpy, pandas, PySpark.
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Oversight of database lock activities and ultimate archiving of study data Collaborate with internal and external partners, including Biostatistics, Statistical Programming, Clinical Operations, Clinical Research, Quality Assurance, Global Patient Safety and Risk Management, and Regulatory Affairs; CROs, central and local laboratories, and other vendors.
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Hands-on experience with big data technologies, including Apache Spark and Databricks Delta Lake. Stay abreast of the latest advancements in Databricks and other relevant technologies to continually enhance data engineering practices.
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Proficiency in SQL and experience working with relational databases (e.g., PostgreSQL, MySQL) and data warehousing solutions (e.g., Redshift, BigQuery). Experience with data visualization tools such as Tableau, Looker, or Power BI, and proficiency in data manipulation and visualization techniques.
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Experience with data visualization tools like Tableau, Superset, Power BI, or Looker. Proficiency in data analysis tools and languages such as Python, R, SQL, or similar. Data Visualization: Create visually compelling and easily understandable data visualizations, reports, and dashboards using tools like Tableau, Superset, Power BI, or similar.
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What You’ll Be Doing:You will turn unstructured business opportunities into data science problems and define plans for analysis, metric development, and modeling. You are excited about working on a small team and setting the foundations for data science at Parafin.
$170,000 - $225,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Familiarity with product data science, understanding and tracking user behavior using analytical lenses like engagement, conversion, cohorts, segmentation and funnel analysis. 5+ years of Data Science or other quantitative field.
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4+ years of professional experience as a data scientist in the SaaS industry. We are a top-notch data organization with a great culture and have the same high standards with our code, systems, practices, and people.
$152,000 - $170,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday
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