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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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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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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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Proficient in data analysis and visualization tools such as SQL, Python, R, Tableau/Looker/Mode, or similar. Implement and oversee reverse ETL processes to feed crucial marketing data into GA4 and Google Ads for enhanced campaign tracking and audience targeting.
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Leverage your advanced skills in Python and SQL and with platforms like Databricks and AWS to build highly scalable data pipelines and warehouses. Core Tools: Python, R, SQL, Next.js, React, TypeScript, Tailwind CSS.
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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.
$200ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Learn about Big Data architecture via technologies such as AWS, DataBricks and Kafka. As an Engineer focused on Data for Square Banking, you will help us build our own Square Banking Financial Data Mesh Platform, using real-time Big Data technologies and Medallion architecture.
$150ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with big data tools: Hadoop, Spark, Kafka, Spark & Kafka Streaming, Python, Scala, Talend etc. Knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
$115,400 - $204,300 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Knowledge of machine learning and AI methods and proficiency with scripting and executing data analytics algorithms and models with hands-on experience using a modeling and simulation software (e.g. Python, MATLAB, R, NONMEM, SAS, S-Plus, etc) is a must.
$250ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Solum is bringing the best of Silicon Valley cloud, mobile and big data analytics technology to agriculture, one of the world's largest and most important industries. PostgreSQL, Python/Django/JQuery a plus but others OK too, assuming you have a willingness to jump in and learn.
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Knowledge and experience with advanced statistical programming and data management using STATA, SAS, R, python, SQL or other programs. - Lead new data science initiatives at the VA and at UCSF, serving multiple roles as data custodian, data consultant, statistical analyst, and scientific collaborator.
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Use Python ML stack, LLMs, Pytorch, Snowflake, Airflow based tools, data platform and cloud services (both GCP & AWS) to get the job done. A Masters or advanced degree in computer science, data science, operations research, applied math, stats, physics, or a related technical field.
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Experience interpreting and analyzing telematics data, using Python, SQL, Tableau or other tools to perform calculations and visualize data; Experience developing or manipulating computer software to parse and process low-level data.
$142,220 - $172,874 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Guide engineering teams in the design and development of commerce applications, with specific emphasis on Shopify, Sales Force Commerce Cloud, and Big Commerce. Over the last decade, Trove has equipped leading brands with technology and operations to create and scale branded resale programs by enabling customer trade-in of items, single-SKU identification and condition grading, site build and maintenance, and customer data collection, analytics and reporting.
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Strong programming skills in languages such as Python, Java, or Scala, with experience in data processing frameworks like Apache Spark or Apache Flink. Expertise in data storage technologies such as relational databases (e.g., PostgreSQL, MySQL), NoSQL databases (e.g., MongoDB, Cassandra), data warehouses (e.g., Snowflake, Redshift), and data lakes (e.g., Amazon S3, Azure Data Lake Storage.
$250ExpandApply NowActive JobUpdated Today
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