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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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The role will require the ability to flex between technical engineering of the platform and hands on working knowledge creating data science applications as a user of the platform.
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You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Business Card & Payments Data Science team builds industry leading machine learning models to empower credit underwriting decisionings, supports advancement in Capital One business card product strategies, decisioning and credit infrastructures.
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6) Fluent in using R, Python or equivalent statistical analysis software such as SAS, Matlab (7) Hands-on Experience with Apache Spark, NoSQL techniques and data acquisition tools. (3) Develop optimization and simulation models to solve business problems using latest technologies in data mining, statistical modeling, pattern recognition, and optimization across the chosen industry and functional area.
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As a Data Scientist Lead - VP, you will be hands-on in analyzing large-scale data to create analytical, statistical, and data science models to uncover underlying patterns and drivers to business questions in employee relations, conduct, security, compliance, customer complaints, etc.
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The complexity and scale of data being generated has grown significantly and requires strong scientific contributions to integrate different approaches in modeling, statistics, and data science to bring value to the Eisai portfolio.
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ML, NLP, LLM Model Evaluation: Work closely with the other data science team members to develop, validate, and maintain robust evaluation solutions and tools to evaluate model performance, accuracy, consistency, reliability, during development, UAT. Implement model optimizations to improve system efficiency.
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We are seeking highly motivated postdoctoral researchers in biomedical informatics and data science to work on projects focused on the development of biomedical blockchain, clinical predictive models, and blockchain-based privacy-preserving learning.
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Designed to inform brand strategies with real-time insights, Hearts & Science is a data-driven marketing agency with expert media planning and buying capabilities, among other services that include shopper marketing, marketing innovation and content activation.
$160,000 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Expertise in machine learning, AI, and advanced analytics, with hands-on experience in Python, R, SQL, or other data analysis programming languages. OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND.
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Our Marketing Data Science transformation is in full swing. Experience with data modelling, machine learning algorithms, and data science techniques. 6+ years of experience in analytics, data science or management consulting or equivalent analytical and project management experience.
$234,300 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Candidates should demonstrate an expert grasp of knowledge in one or more of the following areas: data science, cybersecurity, machine learning, artificial intelligence, data structures and algorithms, software engineering, operating systems, computer networks, and databases, either through a record of teaching excellence, or through industrial experience.
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As the VP of Data Science, you will lead and mentor a team of data scientists and machine learning engineers to deliver innovative and scalable solutions that meet the needs of our customers.
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Apply sophisticated data science techniques like segmentation, predictive analytics, and journey mapping to enhance understanding of fan behaviors. Educational Foundation: Bachelor’s degree in Data Science, Business Analytics, Computer Science, Economics, Statistics, or a related quantitative field.
$150,000 a yearPart-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Expert user of Big Data technologies/platforms, statistical platforms and data visualization tools, advanced SQL skills, hands-on experience with machine learning, predictive modeling and statistical analysis techniques.
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data science hands jobs Title: science in Jersey City, NJ
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