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A SNAPSHOT OF YOUR RESPONSIBILITIESYou should have a strong background with a variety of SaaS measurement platforms and data visualization tools like Adobe Analytics, Google Analytics, Tableau, Comscore, and Nielsen, and understands how to use these tools to perform analyses and reporting as well as how to implement and configure the tags and SDKs that power them.
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The Data Scientist role on the Marketing Optimization Analytics team is responsible for building end-to-end Machine Learning based Analytic Data Products that will directly impact short-term and long-term marketing strategy.
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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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High familiarity with data platforms and applications such as: Databricks, Jupyter, Snowflake, Redshift, Airflow. Familiarity with data exploration and data visualization tools like Tableau, Looker, Chartio, etc.
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Looking for a Senior Data Engineer responsible for designing and implementing ETL/ELT data pipelines, designing and implementing database schema/tables/views, and building batch processes leveraging Airflow for several projects.
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Experience with Healthcare data, e.g., clinical trial data, electronic medical records, and insurance claims; or Bioscience's data, e.g., protein or small molecule data, or bioinformatics; or Biopharmaceutical manufacturing.
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Preferred: 2+ years of experience with a modern data stack (Databricks, Kafka, Spark, Airflow, real-time databases) and cloud data warehouses such as RedShift and Snowflake. The ideal candidate for this role will have a background in building large-scale, data-intensive applications with SQL and NoSQL, high-throughput and responsive internal and external APIs for data products, and experience in user experience design.
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Collaborate with both our team and cross-functional partners in manufacturing, operations, finance, marketing, and engineering to understand business need and scope data science projects.
$152,000 - $210,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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The ideal candidate will have experience with Maximo, Cognos, and MyTSR/PDMS systems, and will be responsible for a variety of clerical and data management tasks. Maximo/Cognos Management: – Follow up and perform data mining in Maximo for DRs. – Pull and review reports for data accuracy and analysis.
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Data Analyst and Application Developer. Work with volunteer management team to collect volunteer data. Develop applications with graphical user interfaces (GUI) to facilitate user interaction and data visualization.
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Extensive experience designing and implementing data infrastructure solutions, including data pipelines, ETL processes, and data warehouses (e.g., Snowflake, Redshift). Set the foundation for AI-first features by architecting the data infrastructure in a way that enables advanced analytics, machine learning, and predictive modeling.
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Of experience in data science (predictive modeling and analytics) Exp. w/Python & R Exp. w/SQL Exp. w/Data Visualization & A/B testing Preferred Experience Postgres, Databricks, GraphQL Benefits & Perks Performance bonus Stock Options Unlimited Paid-Time Off 401k Match 100% Coverage for Medical, Dental, and Vision Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
$190,000 - $230,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Use Shopify data to inform email marketing decisions and meet/exceed revenue goals. Detailed data analysis on key marketing metrics (OR, CTR, CTP, flow performance, customer data.
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Experience with Python, Java, Scala or a similar programming language Experience with Big Data Technologies (Hadoop, Databricks, Snowflake, etc.) Design, build, and operationalize data engineering solutions for ServiceTitan data, analytics platforms and products.
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Review the work of other data analyst(s) and provide feedback to improve efficiency. The Senior Data Analyst will create, manage, and analyze various database reporting tools to support corporate and operational decision makers.
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data job Title: data analyst marketing Company: Fully Accountable in Pasadena, CA
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