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Collaborates with other data leaders and partners (Product, Marketing, Sales) to evolve lead and lag indicators including existing key performance indicators (KPIs) like PRS, tNPS, Customer Effort Score (CES) and lead the development of measurement frameworks for CX.
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Experience with cloud-based data warehouse solutions (e.g., AWS Redshift, Azure Synapse Analytics, Talend). 5+ years of proven experience as a Data Warehouse Architect, Data Engineer, or in a similar role.
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The minimum education, training, and experience include a bachelor’s degree with major course work in data science, computer science, management information systems, regional planning, geography, demography, economics, statistics, mathematics or a related field, and one to three years of professional experience in data analysis and programming.
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Bachelor's degree in Math, CS, data science/engineering or equivalent analytical degree. This role offers a unique opportunity to engage in tactical data exploration and to build out solutions on top of the insights you identify.
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Candidates must have experience practicing privacy law at a law firm and/or in-house, with extensive knowledge of US state and federal privacy laws (including CCPA/CPRA, VCDPA, HIPAA, COPPA, and BIPA) and the GDPR. - Ideal candidates will also have experience with drafting and reviewing data processing agreements, privacy policies, and security policies, as well as providing day-to-day privacy advice to in-house counsel and start-up executives.
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You will weave stories with meaningful insight from data. Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
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POSITION SUMMARYAs part of the Clinical Data Sciences (CDS) group, an integral delivery unit within the Global Biometrics and Data Management (GBDM) organization, the Clinical Data Scientist (CDS) is responsible for timely and high quality data management deliverables supporting the Pfizer portfolio.
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Experience with data visualization tools (e.g., Tableau, Power BI, Grafana, Looker). As a Senior Software Engineer, Data Science on the Insights team, you will be part of a fast-paced team that is pioneering products built on our BrainOS platform to revolutionize the Retail Inventory Analytics Space.
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We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.
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Bachelor’s degree in Business Administration, Healthcare Administration, Political Science or related field required. Ability to type 40 - 50 WPM; ability to accurately complete data entry at relatively high speed, utilizing grammar and spell check software.
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Backend software developer to design and implement the algorithm on a high-performance computing system for data analytics ecosystem in the PDTE department. Job Title: Power BI Data Engineer.
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M.S or PhD in Data Science/Machine Learning or closely related areas such as Computer Science, Operations Research, Applied Statistics, and Biomedical Informatics. The Senior Data Scientist will develop model-based solutions in multiple areas of business interest to ResMed, using the latest technologies in machine learning and cloud computing.
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Experience with Cloud data warehouse technologies, using Snowflake or similar Cloud based data warehouse ingestion, transformation and warehousing tools such as DBT, Meltano and Airflow.
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Experience designing, building, and maintaining robust data pipelines (ETL/ELT) using technologies like Postgres, dbt, and Airflow. Experience with data warehousing architecture (Postgres, AWS Redshift.
$110,000 - $137,000 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Perform model training and validation using various types of machine learning techniques on structured/unstructured data, including imagery, text and graphs. Demonstrated experience innovating and extracting insights from multiple data types including unstructured data.
$106,900 - $144,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago
political job Title: data Company: Dell Technologies in San Diego, CA
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