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Master's degree in data science, Computer science, demography, public health, social sciences, epidemiology, statistics, or related field. Under direct supervision of the Statistics and Monitoring Adviser (MNCAH) of the Data and Analytics Section, DAPM, the consultant is to strengthen the MNCAH global database with additional support for databases related to HIV and Immunization by refining existing processes, expanding its coverage to address emerging priorities, and seamlessly integrating administrative and modelled data with reported data.
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Preferred qualifications:Master's or PhD degree in Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, or related field. Minimum qualifications:Bachelor's degree in Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, related field, or equivalent practical experience.
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Syndicated Data, IRI, Nielsen, Circana, Data Management, Python, R, SQL, Tableau, PowerBI, Strategy, Categories, Analytics, Insights, Statistics, Data Science, Data Analysis, Advanced Analytics, Data Analytics, Consultant, Individual Contributor, CPG, Consumer Product Goods, Consumer Products, Marketing Analyst.
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Incorporate text animations, motion graphics, and visual effects to enhance storytelling and convey key messages, statistics, and emotional narratives. Strong proficiency in video editing software, such as Adobe Premiere Pro, Final Cut Pro, or similar programs.
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Civil Engineer, Mathematician/Statistics. Experience and/or willingness to cross interdisciplinary specialties in the areas of: coastal structure responses, coastal storm hazards, programming, statistics, and technical writing.
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A Baccalaureate Degree from an accredited college or university with a major in Computer Science, Systems Engineering, applied Mathematics, Business Administration, Economics/Statistics, Telecommunications, Data Communications, or a related field of study; and.
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A Juris Doctorate, PhD, MBA or a Master degree in Finance, Tax, Quantitative Statistics, Financial Engineering, Economics may also be considered. A Juris Doctorate, PhD, MBA or a Master degree in Finance, Tax, Quantitative Statistics, Financial Engineering, Economics may also be considered.
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Successful candidates have a background in analytics, statistics, predictive modeling as well as experience using multiple data sources including claims, encounter, administrative, and/or survey data.
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Microsoft Research (MSR) New England and MSR New York City are comprised of approximately fifty full-time researchers and postdocs working in AI for systems, computational biology, computational social science, economics and computation, Fairness, Accountability, Transparency, and Ethics in AI (FATE), machine learning and AI, machine learning and statistics, reinforcement learning, social media studies, theoretical computer science.
$6,290 - $12,170 a monthInternExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Must have strong technical skills in areas such as statistics, programming languages like R or Python, SQL (Structured Query Language), data visualization, and data cleaning and preparation. BS in computer science, engineering, applied mathematics, statistics, or a related field preferred.
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Requirements: Requires a Bachelor's degree, or foreign equivalent, in Statistics, Business Analysis, Administration (any) or related field and 5 years of progressively responsible, post-baccalaureate experience as a, Data Science Lead Analyst, Data Science Senior Analyst, Compliance AML Core Senior Analyst, Compliance AML Risk Management Senior Analyst, or related position using AML and KYC to develop customer risk scoring models for the banking industry.
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Ph. D (preferred), Bachelor's or Master's degree in Computer Science, Mathematics or Statistics , Computational linguistics, Engineering, or a related field. The Team: S&P is a leader in risk management solutions leveraging automation and AI/ML. This role is a unique opportunity for an experienced ML scientist and hands-on NLP/Gen AI/ LLM senior scientist to grow into the next step in their career journey and apply her or his domain expertise in NLP, deep learning, GenAI, and LLMs to drive business value for multiple stakeholders while mentoring and growing a ML Data Science team.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Ensure timely completion of Powerschool documentation, other documentation of work, and statistics, and assist DOE to ensure accuracy of student records. Good Shepherd Services is an equal opportunity employer that is proudly committed to becoming an anti-racist and multicultural organization that stands up for justice and equity.
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Use advanced knowledge in machine learning, statistics, text mining, natural language processing, computational semantics, computer vision, and data science to develop creative solutions to complex real-world problems.
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statistics job Company: Metroplus Health Plan in Hoboken, NJ
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