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In addition, the College offers graduate programs leading to masters degrees in Accounting, Applied Mathematics, Business Administration, Contemporary Instructional Design, Computer Science, Creative Music Technology, Data Science, Educational Leadership, Nursing, Social Work, and Special Education, as well as a Doctor of Nursing Practice.
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Advanced degree in Data Science, Mathematics, Computer Science, Bioinformatics, Computational Biology, Statistics, Pharmacology, or a related field. Stay updated with the latest industry trends, technologies, and advancements in data science and pharmacology.
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6+ years of work experience in the field of Data Science, building and productionizing machine learning / AI algorithms for classification, regression, clustering, time series forecasting, topic modeling, anomaly detection etc.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Machine learning Positions. Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools.
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Majoring in Management Information Systems, Information Technology, Data Science, Business Analytics, Artificial Intelligence, Cybersecurity, or other Business & Technology related majors.
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Specific certification in personal training required from an organization accredited by the National Commission for Certifying Agencies (NCCA), including, but not limited to: ACSM, ACE, NASM, NSCA, NETA, ISFTA, AFAA. Bachelor's degree in exercise science.
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Degree in computer science, bioinformatics, data science, computational biology or related field is required. You will analyze sequence data and provide bioinformatics and data science support to various mRNA vaccines program.
$124,800 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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With capabilities spanning technology, data science, supply chain management, fulfillment, customer service, and more, we help brands launch, scale and grow-across product categories and geographically.
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4+ years of experience in finance, audit, sustainability, corporate responsibility, or data science (preferably including experience with a Big 4 public accounting firm and additional experience at a global Fortune 500 company.
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Sector- and/or process-specific experience in D&A strategy and transformation, as well as exposure to design and implementation needs with a good understanding of general landscape for data science and big data opportunities; deeper understanding of sector- and/or process-specific landscape for opportunities.
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Well versed in syndicated/POS data skills in Nielsen, SPINS, Numerator, 84.51, Shopper 360 and other syndicated and retailer portal data sources. Ability to combine art and science into compelling storytelling.
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Experience in the data science and commercial application side of AI is of higher preference than working with machine or deep learning directly. Preference for data skew: knowledge of tools like Tableau, PowerBI, Looker, Python, or SQL is helpful, in addition to experience with traditional PM tools like JIRA, Confluence or Trello.
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You have deep expertise in at least one of the following areas: Patient Insights, Investigator Insights, Forecasting, Competitive Intelligence, Data Analytics, Advanced Data Analytics, Resourcing, Information Visualization, and/or Data Science.
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Leadership Visibility – The Edge Program is directly sponsored by the Chief Information Officer (CIO). The Edge Program is proud to offer a 10-week Summer Internship, designed to attract highly motivated undergraduates who want to acquire practical work experience within Technology & Global Services (TGS), which encompasses Information Technology, Business Process, Shared Services and EPMO. As an intern, you can expect projects that are both challenging and rewarding.
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Bachelor's or Master's Degree in GIS, Geography, Computer Science, Engineering, Environmental Science, Data Science, or related field. Serve as a subject matter expert on technical committees for projects and applications that leverage GIS and integrate with data systems such as workforce management, asset management, customer service, and other business systems.
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data science jobs in Franklin Lakes, NJ
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