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Our primary developer offering is an ultra-performant Data Processing Framework (unified streaming + batch) with a Python API, distributed Rust engine, and capabilities for data source integration & transformation at scale (Kafka, S3, databases/CDC.
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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 Today - UpvoteDownvoteShare Job
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The programmer analyst will play a pivotal role in supporting researchers and Principal Investigators by employing analytical tools such as python, SQL, SAS, R, or Stata to work with electronic medical records and claims data.
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TRM leverages big data and machine learning to prevent cryptocurrency fraud and financial crime. 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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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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Experience working with cloud-based data warehouses like Snowflake, Redshift, or BigQuery. Working with dbt, Snowflake, Airflow, Python, Stitch, and git, and we welcome new ideas. Experience with data transformation tooling (dbt is preferred), data pipeline services like Stitch and Fivetran, and orchestration tools like Airflow.
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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 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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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 Today - UpvoteDownvoteShare Job
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Experience with data-intensive applications, big data pipelines and analytics, having used tools such as Snowflake, DataBricks, Amplitude and Looker. Develop and support cloud-based big data pipelines.
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Strong understanding and practical experience with data pipeline tooling and storage systems such as Dagster, DBT, BigQuery, Elasticsearch. Fluency in Python, SQL and GraphQL. Domain expertise in legal technology, medical records, and working with unstructured data.
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Past experience with government data sources (BLM, EPA, USFS, DOE, NOAA, BOEM, etc.) Stack: GCP, BigQuery, PostGIS, Python, As a Junior Data Engineer you will work directly with the the Director of Geospatial and own data engineering for the soul of the system.
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We're 2x YC founders and experienced operators - Cathy founded a big data SaaS business that processed over $4bn in transactions, and Abeer built a hedge fund with over $1.5bn in AUM. As immigrant founders, we want to build the best global business bank, to give makers access to more markets and make finance as global as commerce.
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As a Quantitative Analyst at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in cloud computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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The trials also involve real world evidence generation, patient reported outcomes (PROs) and analysis of complex big data sets. Master’s degree in Data Science, Mathematics, Statistics, Biostatistics, Bioinformatics, Biological Sciences, or related discipline.
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You will play a lead role with our data engineering team to build out the (very) high scale systems that manage our customers experiments using Big Query, Snowflake, and RedShift. We are looking for a senior backend developer who is interested in working with big data systems.
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The summer had economists from around the globe embroiled in a debate about a possible recession coming in the next few years (or months). As of October 2022, the U.S. Labor Department data put the current inflation rate at 7.7%. The recent layoffs in the tech industry are just the first of what is soon to be a string of cutbacks by companies looking to save costs. For recruiters, this means freezes in hiring and fewer openings. It will also include the uphill task of finding the best candidates for them from the coming influx of recently laid-off job seekers. Now is probably a good time to brace for tough times in the next few years in the talent acquisition industry. To survive and thrive recruiting in a recession, here are some hard truths you will need to accept.
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