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Graduate-level degree in computer science, engineering, or relevant work experience Preferred: Understanding of ML frameworks (sklearn, TensorFlow, PyTorch, etc) Experience working with big data platforms (Hadoop, Redshift, Snowflake, etc) Architecture, design patterns, production scaling/optimization Insurance industry experience Salary range: $132,500-$197,500 Overtime eligible: Exempt Discretionary bonus eligible: Yes Sales bonus eligible: No.
$132,500 - $197,500ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Master’s Degree in a relevant field (Psychology, Cognitive Science, Human Factors, Human Computer Interaction HCI, Human Machine Interaction HMI, Anthropology, Sociology. Proven ability to conduct various research techniques, such as ethnography, surveys, interviews, and advanced data analysis, to derive actionable insights for user experience design.
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We partner with our clients on advisory and strategy services and complete technical implementation capabilities focusing on data governance, change management, data intelligence, cloud and security, data engineering, visualization, and data science.
$150,000 - $190,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Big data tools like Spark, Kafka, Snowflake, Databricks, etc. Data visualization tool like Looker, Tableau, etc. Data pipeline orchestration tools like Airflow, Dagster, Luigi, etc.
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Position SummaryThe Clinical Data Science team is tasked with activating CVS Health’s clinical data repository to improve outcomes across multiple lines of business and use cases.
$72,100 - $175,100Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Could have experience in Cloud Computing, Big Data technologies such as Cassandra or other. Degree in Computer Science, Engineering, or a related subject. The following skills are required: Java, Spring Boot, Angular, Typescript, Kubernetes, Github Actions, Kafka, AWS, Azure.
$60 - $65 an hourFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Strong experience with machine learning technology, such as: big data stack, Python, R, and visualization techniques. Work closely with Analytics Engineering to ensure the data ecosystem is conducive for data science modeling purposes.
$205,400 - $342,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Big Data implementation – using Open Source and NoSQL technologies such as Databricks, Spark, Spark Streaming, Kafka, Storm, Zeppelin, Scala, Software development, Hadoop Hive, Hadoop Map Reduce, Hadoop Clusters, Cosmos DB, Azure Data Lake Storage (ADLS.
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BS/MS or above in Computer Science or relevant experience Experience with data warehouse technologies: MapReduce, HDFS, Hive, Tez, Spark, Sqoop. How you’ll make an impact: In this role you will be a member of a team responsible for designing and developing a data ecosystem to promote an environment of data democratization and utilization across SiriusXM and Pandora.
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Experience using big data technologies including Apache Spark, Hadoop, Hive a plus. Working with a variety of vendors in the Commodities space, including but not limited to Morningstar, Bloomberg, Refnitiv, and delivering data across the full landscape of market data; from streaming real-time data to static, reference and historical data.
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Experience in developing Data Warehouse/Data Marts using, as examples, OBIEE, OBI APPS, Cognos, Business Objects, SPSS, SSIS, SSRS, Informatica Power Center, OWB and ODI. · Experience on design and development of Data Warehouse Architecture for Enterprise Data Warehouse (EDW), Operational data Store (ODS), Operational Data Marts and Data Marts.
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Ability to design cloud and on premise data solutions and provide guidance across storage, big data platform services, Big Data ecosystem, vendor SaaS integrations, RDBMS and NoSQL databases is a plus.
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Bachelor’s degree in computer science, Information Technology, Data Science, or a related field. Job Summary: We are seeking a highly skilled and experienced Power BI Developer with a strong background in Qlik. The ideal candidate will have a minimum of 12 years of overall experience in business intelligence and data analytics, with a proven track record of leveraging Power BI and Qlik to deliver actionable insights and drive business decisions.
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Experience with "big data" and cloud computing technologies like Redshift, Hadoop, Hive, BigQuery. We're looking for an outstanding technical leader in economics and data science who specializes in statistical modeling, causal inference, and/or structural analysis to advance data-centric decision-making at Duolingo.
$169,700 - $314,100 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience managing and analyzing large data sets using data science tools such as artificial intelligence and machine learning. Through a highly effective Investment Process, they provide solutions across all product platforms and asset classes - equity, fixed income and alternative investments including structured products and specialty assets - through a comprehensive due diligence and oversight process for client portfolios.
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data science big jobs Title: senior data scientist in New York, Bentonville, Kansas
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