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In this role, you’ll be embedded in our Commerce organization and work closely with product management as well as other cross-functional partners to help deepen the integration of the Cash App and Afterpay ecosystems and focus on innovative products like Afterpay Plus. In addition to that standard technical and communication skills we target in a Data Science candidate, an understanding of consumer shopping experiences is a huge value add for candidates considering this role.
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The Cash App Support organization is growing and we are looking for a Data Scientist (DS) to join the team. Advanced proficiency with SQL and data visualization tools (e.g. Looker, Tableau, etc.
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As a Marketing Data Scientist, you will play a critical role in accelerating Cash App’s growth by creating and improving how we measure the impact of all our marketing efforts. The Data Science team at Cash App derives valuable insights from our extremely unique datasets and turns those insights into actions that improve the experience for our customers every day.
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1+ years of experience with data orchestration/ETL tools (Airflow, Nifi), preferred. The Data Engineer II will contribute to the Company’s success by partnering with business, analytics and infrastructure teams to design and build data pipelines to facilitate measuring subscriber movements and metrics.
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Experience with big data technologies and platforms such as Hadoop, Spark, AWS, CGP, or Snowflake. The ideal candidate will have a solid background in machine learning and statistical modeling, The Lead AI/ML Engineer will play a key role in developing and implementing data-driven strategies to improve lead generation and lead scoring, customer segmentation, and marketing automation activities.
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As a Senior BI Engineer at Cash App, you will report to the BI Manager and work with Analysts, Data Scientists, Software Engineers and Product Managers to lay the foundation for analyzing our large, unique dataset.
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Deep understanding of front-end architecture and data-driven development. Tech Stack: Primarily use React and React Native front ends with NodeJS backends, written with Typescript.
$170,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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We are looking for a Senior Data Scientist to partner with our product managers, designers, software engineers and business leaders to drive adoption for two new products, real-time driving behavior tracking and GPT-4 powered chatbot.
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Ideally background in large dataset management, with familiarity with optimization software (GAMS), Python, and energy systems and/or weather data 3-5 years experience with experience with data mapping/ingestion/pipelines preferred experience with Azure Databricks, SQL, DBT, and DVC3-5 years of demonstrated experience working in technical environment where Agile and DevOps principles were applied.
$118,000 - $160,000ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Understanding of data structures, algorithms, and software designData-driven, analytical, hypothesis/validation mindset. Trusted by industry leaders, Kandji’s rapidly growing customer base includes companies like Ramp, Notion, Netskope, Noom, Turo, Groupon, VoxMedia, and more.
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Oversee data entry and gift processing and ensure the regular reconciliation of records with the Accounting Department. Regularly evaluate and identify opportunities for technical and/or data integrity improvements to the database.
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Develop, deploy and maintain data processing pipelines using cloud technology such as AWS, Kubernetes, Lambda, Kafka, Airflow, Redshift, S3, Glue, and EMR. 10+ years of experience in data engineering on distributed frameworks such as Spark, Databricks, Kafka Streams, Hadoop etc.
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Familiar with components of a modern data stack (eg., Snowflake, Segment, Amplitude, dbt, Fivetran, Airbyte, Census, Airflow, etc.) Motion’s founders have a deep background in quantitative finance and strongly believe in the value of data infrastructure as a competitive advantage.
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Experience working with cloud-based data warehouses like Snowflake, Redshift, or BigQuery. Experience with data transformation tooling (dbt is preferred), data pipeline services like Stitch and Fivetran, and orchestration tools like Airflow.
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Handshake is actively seeking an Senior Data Scientist - Product Analytics specializing in Product, Growth, and/or Revenue analytics to support our Research and Development team, spearheading the measurement and analysis of product success.
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