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Knowledge of the data science art (feature engineering, modeling, AI capabilities, optimizers) and related technologies (cloud computing, open-source analytical capabilities) In this role, you will lead data science and visualization initiatives for omnichannel performance across the entire beverages and foods portfolio for a significant portion of PepsiCo's business in North America, reporting into the Director of Advanced Analytics.
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PhD or Master's degree in Biostatistics, Sports Analytics, Data Science, or a related field. As a Data Science Leader, you will spearhead efforts in sports analytics. Frame analytical questions from a data science perspective to guide research on topics such as injury reduction strategies and performance analysis.
$240,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Build cross-functional relationships to collaboratively partner with the business and effectively network within the Data Science Community; Educational preparation or applied experience in at least one of the following areas:Machine Learning, Electrical/Industrial Engineering, Operation Research, Statistical Genetics, Statistics, Biostatistics, Bioinformatics, Genomics, Computational Biology, Applied Mathematics, Computer Science or other related quantitative discipline.
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8+ years of relevant data science experience in an applied role - preferable w/in retail, logistics, supply chain or CPG with a focus on NLP and AI. The Data Science team at Meijer leads the strategy, development and integration of Machine Learning and Artificial Intelligence at Meijer.
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Contribute to the development and maintenance of dashboards and reports using tools like Workday, Tableau or AlteryxSupport ad hoc data analysis and reporting requests as neededExperience you'll bringCurrently enrolled in an MA or PhD program in a field that emphasizes quantitative social science research, such as Industrial/Organizational (I/O) Psychology, Economics, Behavioral Science, Data Science or Analytics, or a related field.
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This commitment is brought to life in the Institute for Data Science in Oncology (IDSO), a flagship program designed to reshape patient experiences and fast-track scientific breakthroughs via data-driven cancer care methodologies.
$155,000 a yearFull-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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The Manager of Data Science and Artificial Intelligence will be responsible for creating our data strategy, and lead a small team of passionate data analysts, scientists and engineers, in the R&D and implementation of data-driven solutions employing advanced data analytics, machine learning, natural language processing, and other AI techniques to create innovative applications and tools for our business, and help our business make optimal decisions.
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Master’s degree in Statistics, Econometrics, Data Science, or related field. 2+ years of experience with one or more of the following tools: Data Gathering & Analysis skills/tools (e.g. SAS, Python, SQL, BigQuery, Vertex AI, Business Objects, Alteryx, etc.
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Working knowledge ofdashboard data visualization including: AWS Quicksight, Google Looker, and/or Microsoft Power BI. We are specifically looking for someone who understands the role of the digital analytics director and the critical part that this team will play in scaling the digital transformation at SBNA. This person should be completely at home helping build and grow a team that can both lead in the data collection and syndication,as well as in the insights and analytics necessary to drive growth and improve customer experience.
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Preferred Qualifications: Master's degree in data science Knowledge of relational databases such as MySQL , snowflake and BigQuery. Basic Requirements: Bachelor's degree in computer science, Data Science or related technical field 10 years of technical experience doing data science in a Telecommunications company 5 years of experience performing data science and programming 5 years of experience using AWS Cloud technology 5 years of experience programming using C/C.
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B.S. in ML/AI related field such as computer science, data science, statistics, applied mathematics, physics, engineering. Stellar Science is a growing Albuquerque-based scientific software development company seeking talented data science artificial intelligence (AI)/machine learning (ML) experts who are interested in helping create, extend, and apply exciting scientific and engineering analysis applications.
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Proven experience in the design and implementation of modern data architectures and concepts such as cloud services (AWS, Azure, GCP), real-time data distribution (Kafka, Dataflow), and modern data warehouse tools (Redshift, Snowflake, Databricks.
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We work alongside product teams across MI ES on break-through ideas using tools and techniques spanning the entire spectrum of Data Science, Statistics, Machine Learning, Deep Learning, NLP, Gen AI, Operations Research, Data and Machine Learning Engineering.
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YOUR SKILLS AND EXPERTISEBachelor’s degree in computer science, data science or a related field with five (5) or more years of working as a data engineer, ETL developer and/or data warehouse DBA.STANDOUT QUALIFICATIONS:Experience with Cloud-based data services and solutions (Azure Synapse / Data Lake, AWS RedShift, Snowflake, GCP Big Query)Experience partnering with Analytics and Data Science teams in building out production grade GenAI/ML solutions.
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THE ROLE:As a key member in the Advanced Data Analytics team, the Data Analyst will work with this and a cross-functional team to develop and execute the data analytics strategy and apply to Oshkosh Corporation products.
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data science jobs Company: Wendy's in MO, Hawaii
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