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Proficient in using Jupyter Notebooks for all sorts of data science tasks such as exploratory data analysis (EDA), data cleaning and transformation, data visualization, statistical modeling, machine learning, and deep learning.
$96,800 - $251,600 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Conduct advanced data analysis, including multi-touch attribution (MTA) and media mix modeling (MMM) to understand customer behavior trends and inform new strategies, constantly improving personalization, automation, and efficiency.
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Design & Develop NLP models for Text Classification, Custom Entity Recognition, Relationship extraction, Text Summarization, Topic Modeling, Reasoning over Knowledge Graphs, Semantic Search using NLP tools like Tensorflow, Pytorch, etc.
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You bring in 2 to 3 years of experience, owning marketing science deliverables across a broad range of initiatives, and focusing on at least two of the following areas: tracking and measurement, implementation, reporting, data visualization, testing and evaluation, data integration, or statistical modeling.
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The Data Science and ML team member develop innovative data science models and machine learning algorithms to drive digital product experience and sales growth for SGWS. This role will be focused on developing and deploying personalization and recommendation, search, experimentation, and marketing AI solutions.
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Qualifications Bachelor or advanced degree in computer science or a related technical discipline 5+ years of solid related industry experience in Search, Recommendation, or Ads Proficient coding skills and strong algorithm & data structure basis Machine learning experience in one or more of the following areas: NLP, Ranking, Ads, search engine, recommender system, and machine learning Effective communication and teamwork skills.
$212,800 - $389,500 a yearExpandUpdated Today - UpvoteDownvoteShare Job
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Experience with analytics and data management principles such as data acquisition and modeling, data warehousing, business intelligence, metadata management, master data management, advanced analytics and data science, "big data" techniques, public/hybrid/private doud data management and analytics services data security, and data and analytics governance.
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We seek applicants familiar with the planning and designing of resilient infrastructure and communities, decision making under uncertainty, and applying emerging techniques from mathematics, computer science, and data science to advance hydrologic, hydraulic, hydrodynamic, water quality, and ecosystem modeling applications.
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Demonstrated mastery in predictive modeling, data mining and data analysis. As a Principal Data Scientist, you will lead large data science projects, identifying opportunities to leverage the best technology and approach, and mentoring data scientists on the project team.
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Every scientist on Target's Data Sciences team can expect to do modeling and data science, develop software/product with highly performant code, elevate Target's culture, and apply retail domain knowledge.
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Experience with analytics and data management principles such as: data acquisition and modeling, data warehousing, business intelligence, metadata management, master data management, advanced analytics and data science, "big data" techniques, public/hybrid/private cloud data management and analytics services data security, and data and analytics governance.
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Experience and/or significant course work in any of the following areas: Network Security, Cryptography, Database Structure and Management, Machine Learning, Data Modeling, Data Storage/Interfaces, Electrical Communications, Image Recognition/Processing, Medical/Business/Fintech Informatics, Video Encoding/Decoding, Virtual Reality, Virtual Machines, Cloud Computing.
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Experience with any of the following: Data Architecture, Elastic Search, DBT, Airflow, Palantir Foundry, Data Quality tools, Collibra, MDM, Informatica, Spark, Snowflake, Teradata, SAP Business Warehouse, Business Objects Suite, Tableau, SAS Enterprise Miner, and other database and BI technologies, open-source Hadoop, and related technologies, data access languages such as SQL, SAS, R, Python, Scala, etc.
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Demonstrated experience with search architecture and data visualization tools (ex -ElasticSearch, OmniSci) Familiar with Data Science frameworks such as Keras, Tensorflow, or Theano.
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Experience with any of the following: Data Architecture, Elastic Search, DBT, AirHow, Palantir Foundry, Data Quality tools, Collibra, MOM, Informatica, Spark, Snowflake, Teradata, SAP Business Warehouse, Business Objects Suite, Tableau, SAS Enterprise Miner, and other database and BL technologies, open-source Hadoop, and related technologies, data access languages such as SQL, SAS, R, Python, Scala, etc.
$200,000 - $255,000 a yearFull-timeExpandApply NowActive JobUpdated Today
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