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You'll partner closely with a product, engineering, and marketing pillar at every step of the development process, driving forward data science and analytics work in that area. You will apply your expertise in statistical inference, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with Notion.
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Proving specialization background in data science, including experience with statistical analysis, data mining, predictive modeling, and machine learning; Demonstrating a thorough level of knowledge in statistical modeling, algorithms, data mining, and machine learning algorithms problem solving.
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Strong understanding and skills in advanced analytics and data science models and methodology, such as statistical analysis, algorithm development, artificial intelligence, machine learning, text mining, natural language processing, and optimization.
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Bachelor’s degree in Statistics, Mathematics, Engineering, Economics, Data Mining, Analytics, Computer Science, Finance, or other quantitative field, or equivalent experience. The Disney Decision Science + Integration (DDSI) organization supports clients across The Walt Disney Company including the Disney Experiences segment, which include Parks & Resorts both domestic and international, Consumer Products and Disney Signature Experiences, as well as the Disney Media & Entertainment Distribution segment, which include Studios Content (Disney Theatrical Group), General Entertainment Content, and ESPN and Sports Content.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Machine learning Positions. Preferred skills: NLP, Text mining, Tableau, PowerBI, Databricks, Tensorflow.
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Proficiency in Python and common data science / ML libraries (e.g., Pandas, SciKit-Learn, Tensorflow, Keras) You have real world experience with working through all phases of a machine learning / data science project (e.g., ideation, design, implementation, training, validating, deployment.
$250ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Drive research and development of statistical, machine learning models, network clustering algorithm to develop narrative analytics tools with in-house and outsourced data science and/or machine learning teams.
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Preferred experience in Applied Econometrics, Statistics, Data Mining, Machine Learning, Analytics, Mathematics, Operations Research, Industrial Engineering, or related field. Our team collaborates deeply with partners across analytics, data science, marketing, digital, business teams: our mission is to drive innovation by providing the business, marketing and data scientist partners best in class systems, data products, and tools to make decisions that drive business performance and patient experience.
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Using your affinity for synthesizing and visualizing data, domain expertise, data mining and communication skills, you’ll ensure we’re building the best product for our current and future Pinners.
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As a growth data scientist, you'll drive improvements to the user experience and our self-serve revenue engine through quantitative analysis and experimentation, in close partnership with the product team.
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Strong foundational knowledge in statistical analysis, data modeling, and data mining techniques. Currently pursuing a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Economics, or a related field.
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Work with our usability and data mining teams to assess and optimize new and existing features. You will also work with researchers, product management, engineering, data science, and operational teams as you go from early-stage product concepts to launches of new features and experiences.
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Design and build data processing, data mining and machine learning systems that run at scale. Work with product manager to help shape data science products and offerings and offer technical inputs.
$223,000 - $323,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Data mining, machine learning, statistical modeling tools and underlying algorithms. As a Data Science Sr. Manager at CarMax, you’ll apply your passion and expertise in data, machine learning, and entrepreneurship to create data-science applications that enrich CarMax’s culture of innovation.
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Help define new approaches to metrics and methods - Work with data science and data engineering teams to develop success metrics and evaluation solutions - Work with annotation operation teams to optimize and lead human data collection and evaluation efforts - Work with engineering, privacy, and legal teams to develop safe data collection.
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data science mining jobs in San Francisco, Grove-city, Ohio
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