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8 years of experience in a predictive analytics or data analysis OR advanced degree (e.g., Master's, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline and 6 years of experience in predictive analytics or data analysis.
$158,960 - $286,130 a yearRemoteExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Data Science Specialist. Cloud, Artificial Intelligence, Data Analytics, and compliance aspects of Cyber Security development are among our consulting capabilities. Job Title: Specialist - Data Sciences.
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Responsibilities:Enterprise Data Engineering Delivery:Oversee the design, development, and management of scalable and reliable data engineering solutions that support data products deployment for use in advanced analytics, data science, and AI initiatives.
$148,800 - $248,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proficiency in working with modern columnar data warehouses, such as Snowflake, Redshift, or BigQuery. Experience working with the Hadoop ecosystem, including tools like Hadoop, Hive, and Spark, as well as Databricks for data processing and analytics.
$68 - $71 an hourExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Business intelligence, analytics, and machine learning technologies including SAS, R, Teradata, Hadoop, data science and visualization tools. Security concepts and technologies related to authentication (MFA, risk based authentication, biometrics, SAML, OAuth, OpenID Connect), authorization, encryption, data protection, threat prevention, and S-SDLC best practices including one-time-password (OTP), SSL, PKI, DDoS remediation, anti-malware detection, and application scanning.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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The Airline Solutions Data Science team designs, develops, and delivers data science, AI/ML, and algorithmic reasoning features at the core of Airline solutions products. Associate Data Science Engineer.
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Requirements: Requires a Bachelor’s degree (or foreign equivalent) in Computer Science, Computer Engineering, Software Engineering or related field and 6 years of progressively responsible, post-baccalaureate experience as a Software Engineer, Applications Development Senior Programmer Analyst, ETL Developer, or related position involving Ab Initio ETL standards in Data warehouse applications.
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Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more.
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We seek a Data Engineer who brings a robust skill set and extensive experience in cloud-based data engineering experience particularly within the realm of Azure and Databricks using Python, PySpark and cloud SQL. Critical thinking and problem-solving abilities are paramount, as you will navigate evolving and complex requirements and collaborate with stakeholders across diverse technical backgrounds.
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The Data Management Analyst will be skilled in data integrity, solution management and data analysis for the Macro Helix PAP, Revenue and UA services. Familiarity with cloud-based data storage such as Snowflake, Azure and SharePoint.
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Experience in performing ETL and data engineering work by leveraging multiple google cloud components using Dataflow, Data Proc, BigQuery. Experience in building high-performing data processing frameworks leveraging Google Cloud Platform and Teradata.
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Advanced proficiency in SQL, Python (/R) and data visualization tools (Tableau, Qlik or native Python or other libraries like Plotly/Streamlit etc). A Master's degree in a quantitative discipline such as Mathematics, Statistics, Financial Economics/Econometrics, Engineering, Computer Science, or Operations Research.
$133,000 - $270,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Build high-performing clinical data processing frameworks leveraging Google Cloud Platform and utilizing GCP Services like Dataflow, Pub-Sub, Composer, Healthcare API and Big Query. GCP data engineering technologies such as Cloud Dataflow, Cloud Storage, Pub/sub, Cloud Composer, Big Query, and Health care API (FHIR store.
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Epsilon accelerates clients’ ability to harness the power of their first-party data to activate campaigns across channels and devices, with an unparalleled ability to prove outcomes. Extensive knowledge of cloud technologies related to data platforms and data warehousing concepts (i.e., Databricks, Snowflake, AWS, and Azure.
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Knowledge of security best practices and implementing security measures within Dell Boomi integrations to ensure data privacy and compliance. bility to perform data mapping and transformation tasks within Dell Boomi, including handling complex data structures and formats.
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science data jobs Company: Epsilon in Irving, Niles, Illinois
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