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Remote Work From Home Jobs / Data Entry Clerk - Typing - Work At Home - Doing Data Entry - 100% Remote – Earn Immediately. Our paid market survey participants originate from all backgrounds and markets including data entry clerk, administrative assistant, receptionist, sales assistant, customer service agent, warehouse or factory workers, chauffeur, medical assistant, nurse, phone call facility representative, etc.
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Data visualization using any commercial-off-the-shelf product (i.e. AVEVA PI Vision or ProcessBook, AspenTech, MS Power BI, Spotfire, Tableau, SEEQ, MS Excel) or programmatic methods (i.e. Python, MATLAB, R.
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Thorough understanding of marketing technology (tools & tech) including analytic packages, DMP’s, Ad Servers, search platforms and data onboarding solutions. ~ Strong analytical skills, intuitive grasp of data.
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Masters Degree: Statistics, Data Science, Operations Research, Computer Science, Economics or related field. PhD degree in Statistics, Data Science, Operations Research, Computer Science, Economics, or a related field.
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Experience in AWS Data Analytics platform and related services - S3, AWS Glue, Redshift, Athena, Lake Formation, Lambda, etc. Show efficiency in handling data - tracking data lineage, ensuring data quality, and improving discoverability of data.
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Act as a subject matter expert on Provider Data Management goals and strategies for operational excellence. Reporting to the Vice President of Provider Network Operations, the Director of Provider Data Integrity and Program Management is responsible for ensuring the highest standards are met for accuracy, accessibility, and availability of the network, including oversite of various vendors.
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Experience using computer languages (Python, SQL) to manipulate data and draw insights from large data sets, including cloud-based Snowflake, AWS SageMaker, Azure AI Services and MS Power Apps.
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What you will do: (Edit)The Lead Data Scientist responsibilities may include, but are not limited to:· Build state of the art search and recommendation products· Training and deploying transformer-based language models to aid in information retrieval, including cross-encoders, bi-encoders, classification, extraction, and generative models.
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The focus of this role will be to manage a data domain, establish it governance committee for that domain and be responsible for our data catalog. Champion organizational behavior change as it relates to the use of data; Realizing vision of data managed as an asset.
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Experience with data visualization (preferably Looker). Proficiency in SQL, Python and working with Data Science tools (e.g., git, kubernetes, Docker, etc. 4+ years of related work experience in the field of Data Science & Machine learning.
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Exercise thought leadership and discretion in tailoring the tools, approaches, and data used to meet the needs of a given problem. The Senior Manager, Data Science will be responsible for executing the full scope of advanced analytic techniques with the objectives of creating causal inferences, predictions, and recommendations for improvements to promotional offer recommendations, customer retention, customer service, business processes, etc.
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Responsible for Cloud migrations for data pipelines using AWS and Snowflake. Working Snowflake knowledge with Designing data warehouses. Good understanding on Metadata and data lineage.
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Req’d skills: statistical & coding tools (SAS, R, Python); machine learning model dev (gradient boosting machines, support vector machines, decision trees, regression tech); structured databases; analysis & manipulation of complex and high-volume credit data from varying sources; T-SQL; AWS redshift; Tableau.
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Work with data vendors such as Bloomberg, Refinitiv, etc. A financial firm is looking for a Data Engineer to join their team in New York, NY, Greenwich, CT, or Norwalk, CT. Good Financial data, specifically security master and/or knowledge of vendor datasets.
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Hands-on experience with tools such as Databricks, Dataiku, ETL technology, programming language (SQL, Python), and AWS cloud platform (S3, Data Lake), Data Lake, Data Warehousing, and analytics information domains.
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Title: data Company: Canada Survey Job in Armonk, NY
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