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Demonstrated track research record in the fields of statistics, machine learning, computational biology, data science or related field (computer science, physics, biostatistics, bioinformatics.
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New York Institute of Technology's six schools and colleges offer undergraduate, graduate, and professional degree programs in in-demand disciplines including computer science, data science, and cybersecurity; biology, health professions, and medicine; architecture and design; engineering; IT and digital technologies; management; and energy and sustainability.
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Collaborating with finance, product, data engineering, data science, and business teams, this position will serve as a subject matter expert in understanding user engagement across a variety of streaming services, product offerings, and platforms, while supporting multiple product launches and initiatives.
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Earned or will earn a Master's or Ph. D. in a quantitative field, such as Computer Science, Electrical and Computer Engineering, Applied Math, Statistics, Quantitative Finance, Cognitive Science, Physics or another field of science.
$250,000 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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A global bank is seeking a VP level Azure Data Engineer with expertise in Databricks architecture to join their risk technology team. Ability to migrate the Data Science models written on native python language to the multi node Databricks compute.
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Expertise in the Data & AI market to serve as a trusted client advisor (training on IBM's Data & AI offerings will be provided). A Technology Sales Specialist role (what we internally call a, 'Brand Sales Specialist') in IBM's Data & AI brand means accelerating enterprises' success by improving their ability to understand their data.
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Maintain and grow experience in Database scenarios including Cosmos DB, SQL DB, PostgreSQL and in Analytics, Data warehousing, Data Engineering, Data Science including Intelligent Data and Analytics Platform (Azure SQL DW, Lakehouse architecture, Fabric, Azure Databricks, Power BI), and relevant AI technologies while keeping up to date with market trends and competitive insights.
$219,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Hands on experience with programming for extract transform operations and data analysis using languages such as, but not limited to R, Python, SQL, and Excel VBA. Experience in developing data visualization and business intelligence solutions using tools such as, but not limited to, Shiny, Tableau, PowerBI, and front-end technologies and languages.
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Alternatively, will accept a Master’s degree in Business, Sustainability, Accounting, Engineering, Environmental Science, Data Science or related field and 4 years of related experience.
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Reporting to the Vice President of Marketing Analytics & Modeling, this role will be responsible for executing on Dow Jones' investment in next-gen marketing data science in support of its direct to consumer products.
$165,000 a yearFull-timeExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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Associate or Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT, Statistics, Mathematics or having good logical aptitude.
$150,000 a yearRemoteExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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We are looking for an experienced data scientist with a strong background in LLM and Generative AI. The data scientist will develop advanced data science solutions using LLM to enhance various aspects of their business, such as underwriting, claims, and customer service.
$150,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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The Medical Science Liaison (MSL), a field-based extension of the Medical Affairs team, is an expert on argenx's scientific data, products and trials, and is responsible for engagement with Key Opinion Leaders at academic and community centers, including potential and confirmed clinical research sites.
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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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Associate professor level in the areas of statistical data science and machine. should have a Ph. D. in Statistics, Data Science, or related discipline with. Mathematics, Applied Probability and Statistics, and Data Science (Statistics.
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