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Master's Degree in related field (e.g., Data Science, Predictive Analytics, Machine Learning, Statistics, Applied Mathematics, Computer Science) Bachelor's Degree in related field (e.g. Data Science, Predictive Analytics, Statistics, Marketing Analytics, Applied Mathematics, IT.
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2+ years of experience in Automotive, Transportation, Digital Business, or Analytics Consulting. Collaborate with business customers to understand business challenges and develop strategies for solving them using AI/ML and advanced analytics.
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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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Proficiency in Google Cloud Platform (GCP) services relevant to machine learning and AI, such as AI Platform, BigQuery, Dataflow, and Tensorflow. Expert level of Advanced and Predictive Analytical Methods e.g., Simulation, Design of Experiments, Genetic Algorithms, Ensemble Methods, Naïve Bayes, Neural Networks, regression, image processing, natural language processing.
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As part of the McKesson Data & Analytics team, this individual will be responsible for designing, developing our data architecture strategy. Strong mathematical background with strong knowledge in at least one of the following fields: statistics, data mining, statistics, operations research, econometrics, and/or information retrieval (image processing (OpenCV) and natural language processing is a plus.
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Expertise in open source data science technologies such as Python, R, Spark, SQL. A true one-stop shop, offering a full portfolio of electrified and internal combustion vehicles designed to integrate seamlessly with the Ford Pro ecosystem, helping customers' businesses thrive today and into the new era of electrification.
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Option 2- Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field.
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Successful candidates should also have expertise in some of the following areas: Politics of difference Politics of Latin America or Asia Methods for causal inference AI/machine learning Big data analytics Other interdisciplinary topics at the nexus of politics and data science or statistics.
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We integrate off-the-shelf and new development efforts to sustain and enhance Defense Intelligence Agency’s (DIA) National Media and Exploitation Center (NMEC) architecture by leveraging cloud-based computing, artificial intelligence (Al), machine learning (ML) and cross-domain transfer systems to provide cutting edge data exploitation, enrichment, triage, and analytics capabilities to Defense and Intelligence Community members.
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Bachelor's degree or equivalent experience Bachelor’s degree in Business Analytics, Information Retrieval/Information Technology, Computer Science, Market Research, Psychology, Digital Libraries, Math/Statistics, Digital Marketing, Content Management, Digital Analytics, Data Science, or similar field Req.
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Bachelor’s or Graduate degree, Field of Studies required: In a quantitative field or commesurat experience such at Statistics, Business Analytics, Data Science, Applied Math, Econometrics or Operations Research.
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BS in Computer Science, Engineering, Statistics, Mathematics, or a related quantitative field and 4+ yrs of experience as a Marketing/Product Analyst, Data Analyst, Data Scientist, BI Engineer, Analytics Engineer, or similar role.
$144,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Associate's degree in Urban Planning, Landscape Architecture, Statistics, or a related discipline and four (4) years of urban planning experience with the Municipality or the equivalent elsewhere.
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Bachelor’s or Master’s degree in HR, Industrial Organizational Psychology or in a quantitative related field such as data science business analytics, statistics, or mathematics. Liaise with IT counterparts to ensure HR data and HR analytics requirements are included appropriately within enterprise analytics strategies, are enabled by enterprise tools and infrastructure and benefit from synergies with enterprise analytics expertise and initiatives.
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Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply.
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analytics statistics architecture jobs Company: Pwc
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