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Experience building AWS cloud data solutions and migrating from on-prem to cloudExperience leading, managing and delivering complex cloud-based architecture engagements end-to-end with resources in multiple locationsHands-on experience with big data application development and/or with cloud data warehousing (e.g. Spark, Redshift, Snowflake, Azure SQL DW, BigQuery)Strong communication skills and a working knowledge of agile development, including DevOps concepts.
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Join us as a Quant Analytics Senior Associate and dive into the world of data exploration and reporting for JPMC Private Client. As a Quant Analytics Senior Associate within the JPMC Private Client team, you will manage and support analytical data exploration and reporting outcomes.
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Background with Data Science tools such as R, Python, and SAS is a plus. As a Senior Data Architect , you will use cutting-edge cloud and data technologies to help global brands and federal agencies solve challenging problems through innovative technology solutions.
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This role will be part of a dedicated hybrid actuarial/data science team designing and delivering powerful analytical tools utilizing statistical modeling, machine learning, cloud computing, and big data platforms to enhance or overhaul core actuarial processes For Commercial Lines this team is responsible for all modeling that pertains to pricing, class plans, and profitability.
$170,040 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Experience in recruiting for domains such as machine learning, artificial intelligence, big data analytics, data science, and cloud computing is advantageous. Proficiency in ATS software, with experience in Greenhouse considered a plus.
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Experience with SQL databases (PostGIS or BigQuery would be a plus.) Collaborate with Data Science, Data Engineering, and Software Engineering teams to bring new metrics and techniques into the products.
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Experience working with dataproducts Exposure to Big Data environments such as AWS (Spark, RedShift, EC2, Tableau), Databricks, or Snowflakeis a plus. This is a strategic role with an opportunity to learn and expand responsibilities as you partner with data science, engineering, and business development teams in the US and offshore.
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StreetLight pioneered the use of Big Data analytics to shed light on how people, goods, and services move, empowering smarter, data-driven transportation decisions. Transportation industry experience or experience with geospatial programming is a strong plus.
$150,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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PhD in STEM field (Science, Technology, Engineering, or Mathematics) plus 4 years of experience in data analytics. Currently has, or is in the process of obtaining a Bachelors Degree plus 7 years of experience in data analytics, or currently has, or is in the process of obtaining a Masters Degree plus 5 years of experience in data analytics, or currently has, or is in the process of obtaining PhD plus 2 years of experience in data analytics, with an expectation that required degree will be obtained on or before the scheduled start date.
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Hands-on experience developing and deploying models using MLops framework utilizing Databricks /Azure services ( Synapse, Azure Data Factory, Power BI) or AWS tools (SageMaker, Glue, EMR) or GCP (Dataflow, Big Query, Cloud Run.
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Big Data experience a plus (Hadoop, MongoDB, Exadata) We are currently seeking a Senior Data Analyst for our client in the Oil and Gas domain. 4+ years of SQL experience working in OLTP, Data Warehouse and Big Data databases.
$82 an hourFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 4 years of experience in data analytics At least 1 year of experience working with AWS At least 1 year of experience managing people At least 5 years’ experience in Python, Scala, or R for large scale data analysis At least 5 years’ experience with machine learning.
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This role requires a visionary leader with a deep understanding of data science, machine learning, business intelligence and artificial intelligence to drive innovation and competitive advantage.
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Experience in machine learning, big data analytics, data science, and cloud computing is a plus. Knowledge of at least one target industry, (ideally high tech, agriculture, mining, retail, energy, telecom, financial services, life science, or manufacturing) is a plus.
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big data science a plus jobs Title: senior
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