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Doctoral degree (including ABD) in Data Science, Computer Science, Statistics, Experimental Psychology/Philosophy, or related scientific disciplines. You will demonstrate design thinking that links marketing, engineering/technology, and social/human science with a holistic approach to design in a fast-paced agile environment for the new mobility transition period involving electric vehicles, autonomous driving, and innovative transportation solutions.
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You will report to the VP of Data and AI, and your primary responsibility is to empower game design in Marvel SNAP with data science. Extensive experience in data science, predictive modeling, and applied ML.
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Required: Master of Science (with 5 years of experience) or entry-level Doctorate in the computational and data sciences including statistics, artificial intelligence, biostatistics, bioinformatics, and statistical genetics.
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This requires multidisciplinary training in the computational and data sciences including statistics, computer science, and artificial intelligence. Experience in the application of advanced statistical algorithms and computational and data science methods in the analyses of medical data including generalized linear models across a wide range of statistical distributions, time series analyses, and longitudinal data analyses.
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Implement sensor fusion techniques to integrate data from multiple sensors such as GNSS, IMU, LIDAR, radar, sonar and cameras to enhance the accuracy and robustness of vehicle navigation where applicable.
$294,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Our team has strong communication, partnering, and analytical skills, including sophisticated knowledge of revenue management principles, proven experience with statistical/data science modeling, data visualization, and data manipulation.
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Proven experience using statistical modeling, optimization, or data science techniques to drive business decisions and to advise new methodologies to steer strategy – hands-on experience with one or more modeling tools (R, Python, etc.
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The courses may include Foundations of Data Analytics and Programming, Advanced Excel for Data Analytics, Data Governance, Management and Quality, Data Visualization-Power BI, Data Visualization-Tableau, Data Privacy and Integrity, Data Protection, Descriptive Analytics, Predictive Analytics, Data Complexity, Cloud Analytics, Big Data, various programming courses and concepts involving python, r and ML, and database courses (including MySQL, Microsoft SQL Server and NoSQL alternatives.
$32.93 an hourPart-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Bachelor's degree in Finance, Applied Mathematics, Economics, Data Analytics/Science or Industrial Engineering. Master's degree in a quantitative field such as Statistics, Mathematics, Engineering, Business, Economics, Behavioral economics, or Data Science preferred.
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Knowledge and exposures to Azure SQL Data Warehouse, Databricks or other cloud or on premises MPP data warehousing systems (SAP HANA, Teradata, Snowflake). The experience should be with requirements gathering, SQL, Data Integration tools such as Informatica PowerCenter, Microsoft SSIS, Azure ADF and Data Warehousing techniques.
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Ensures integration of the project logical data model into the enterprise conceptual data model. Knowledge and exposures to Azure SQL DataWarehouse, Databricks or other cloud or on premises MPP data warehousing systems (MS APS, Teradata, Snowflake.
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Net, C#, Qlik, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Kinesis, QuickSight, SageMaker, S3, Databricks, AWS Lake Formation, Snowflake, Python, Qlik, Athena, Data Pipeline, Glue, Star Schema, Data Modeling, Performance Tuning, SQL Individual salaries that are offered to a candidate are determined after consideration of numerous factors including but not limited to the candidate’s qualifications, experience, skills, and geography.
$155,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Qualifications: Required PhD or MS degree in Computer Science, Data Science, Statistics, Applied Mathematics, or any other related quantitative fields from an accredited college or university.
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Knowledge and exposure to Azure SQL DataWarehouse, Databricks or other cloud or on-premises MPP data warehousing systems (SAP HANA, Teradata, Snowflake). Data Engineer for a prominent client of ours.
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Escalates complex data integrity issues to the Senior Data Analysts and/or HEDIS Manager for further evaluation and action as needed. Data Analyst Intermediate (HEDIS) CalOptima Health is seeking a highly motivated and experienced Data Analyst Intermediate (HEDIS) to join our team.
$115,353 a yearFull-timeExpandApply NowActive JobUpdated Today
data science jobs Title: project manager in Fountain Valley, CA
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