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The VP, Engineering will lead scaling the global data and software engineering teams in managing the foundational enterprise data platform and creating tools and frameworks that enhance data collection and processing, analytics and artificial intelligence, data dissemination, and governance.
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Design, build, and maintain scalable data pipelines using Google Cloud Platform tools such as BigQuery, Cloud Storage, and Cloud Composer. Your expertise in Google BigQuery, Google Cloud Storage, Cloud Composer, Python, and SQL will be crucial in developing effective data solution that support our security analytics and reporting efforts.
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The Asset Management Quant Research Engineering team is looking for a Senior Data Engineering who wishes to take on the challenge of building a world-class data operation. Deliver datasets from onboarding through mapping and automated DQ so they can be handed off to the Data Operations team for DQ maintenance and consumed by research teams and production.
$76,000 - $144,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Deep knowledge of modern data warehouse platforms (Snowflake, Databricks, Redshift, Azure Synapse) Hands-on independently and/or with Tech Leads, with Cloud-based technologies (i.e., Snowflake, Databricks), creating data pipelines and orchestration to integrate systems.
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Under the direction of the Senior Director of Strategic Insights & Program Outcomes, the Data Analytics Engineer is responsible for designing and building reliable data models and pipelines to provide large-scale data ingestion, aggregation, analysis and visualization projects for strategy and innovation insights, marketing and operations effectiveness, and outcomes measurement and reporting.
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For this Senior Data Scientist role, we're looking for someone with data science and machine learning experience who likes the challenge of breaking new ground. The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions.
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The Manager, Clinical Data Management will lead clinical data management activities in support of CRISPR studies across all stages of clinical development. Familiarity with GCP, ICH and FDA requirements as applicable for Clinical Data Management.
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The ideal candidate will have a strong background in user experience research, UX analysis, and creating user-centric designs that meet the complex needs of enterprise data analytics solutions.
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Experience with other data engineering technologies, such as Apache Spark, Kafka, or Airflow. The Snowflake Data Engineer will be responsible for designing, implementing, and maintaining Snowflake data warehouse solutions.
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We are looking for a Data Scientist to join our Risk Data Science and Analytics Team. You will improve our risk controls through advanced statistical and analytical techniques. The Risk Data Scientist will identify and prevent fraud on our most valuable sellers.
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Administer, configure & support Data Platform applications Informatica Cloud (IICS), Tableau, Cognos, SAS, GitHub and MOVEit MFT.Design, implement & support cloud applications and AWS services.
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The oligotherapy principal data scientist role is embedded in and directly supports the Oligo Sciences team whose broad remit is the design, characterization, and early development of oligonucleotide therapies.
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Data Product Manager. RDI (Rewards Data Intelligence) offerings are compensation-related data products, such as compensation surveys, HR analytics and insights. Familiarity with data technologies such as data visualizations, Natural Language Processing (NLP), Machine Learning, generative AI. Comfort with big data approaches, such as data lakes, desirable.
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The Bioinformatics Scientist is responsible for analyzing antibody selection data from yeast display, implementing machine learning algorithms to enhance data analysis and lead selection, and managing the data pipeline from raw file processing to database storage.
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Design and monitor data governance, data quality and metadata policies, standards, tools, processes, or procedures to ensure data control and remediation for companywide data management functions.
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data job Title: senior manager Company: Experian in Boston, MA
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