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8+ years of experience in data engineering or full-stack quantitative analytics/data science roles. As a Director of Data Engineering, you will be instrumental in driving innovation, ensuring data quality, and fostering collaboration across teams to harness the power of data for informed decision-making.
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Requirements: Requires a Master’s in Statistics, Computer Science, Data Science, Machine Learning, Applied Math, Operations Research, Economics, or a related field plus two (2) years of experience as a Data Scientist, Data Engineer, or other occupation/position/job title involving research and data analysis.
$163,238 - $178,400 a yearFull-timeExpandApply 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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Partner with a whole range of teams within the Data organization (Analytics, Data Science, Data Engineering, Data Architecture, Data Quality & Governance, Program Management) to deliver high impact, efficient Data solutions.
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A Degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience. Through Bloomberg Law, Bloomberg Government, Bloomberg New Energy Finance and Bloomberg BNA, the company provides data, news and analytics to decision makers in industries beyond finance.
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Bachelor’s degree or higher in a quantitative discipline such as Statistics, Mathematics, Engineering, Computer Science, Econometrics or information sciences such as business analytics or informatics.
$102,200 - $146,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Major or minor of studies in a field of Quantitative Finance, Financial Engineering, or a related technical field that blends advanced quantitative methods with finance and economics is a plus.
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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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Medical technologist, clinical laboratory scientist, medical tech, clinical laboratory technologist, medical laboratory technologist, laboratory, clinical laboratory tech, allied, allied health, cls, mt, med tech.
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Minimum of 5 years of technical experience and 3 years of experience specifically in data science and machine learning. Experience with cloud computing platforms (, AWS, Azure, GCP) and cloud native computingProficiency in programming languages like Python, Java, Scala, C#, SQLExpertise in big data technologies such as Hadoop, Spark, Kafka, and NoSQL databasesKnowledge of data modeling, ETL processes, and data warehousing conceptsExceptional problem-solving abilities and teamwork skills.
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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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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 working with financial data sets like Factset and Bloomberg a plus. Bachelor's degree or higher in computer science, mathematics, or a related field.
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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.
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Extensive experience with bid date and tools such as Excel, SQL, ArcGIS, R, and Python - Experience with commercial data systems such as Accurint, Talx, USPS Address Forwarding is a plus - Background in project management or fraud investigations is a plus.
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