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Data science, machine learning, optimization models, Master’s degree 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, Using open source frameworks (for example, scikit learn, tensorflow, torch)Primary Location.
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Familiarity with cloud-based platforms (e.g. AWS) and big data processing tools (e.g. Apache Spark) Job Description BAE Systems has a position opening for a Senior Data Scientist to support a growing government program in the National Capital Region.
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GENERAL DUTIESThe candidate will be responsible for utilizing big data technologies (e.g., Apache Hive, Apache Pig, Apache Spark, MapReduce) and knowledge of data science models to analyze large amounts of data and create valuable insights for supporting the mission.
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Demonstrated experience developing and applying NLP techniques (e.g. LLM, transformers, embeddings, topic models) to relevant use cases (NER, Q&A, document summarization/classification, text generation, sentiment analysis, semantic search.
$126,610 - $215,270 a yearFull-timeExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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Brief Synopsis - SBC Innovations is seeking talent for a broadly experienced Senior Data Scientist to join its team. Data mining: Utilize NLP technologies to extract insights from internal data sources, including a mix of structured and unstructured data.
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Title: Lead Data Scientist - 106819. 5 or more years of experience executing data science projects involving advanced techniques (such as NLP, Generative AI, statistical analysis, predictive modeling, financial forecasting, data visualization, and machine learning) from beginning to end.
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Join our dynamic team as a Data Scientist, spearheading innovative data science and IoT solutions for Smart Store, Asset Protection and Store Inventory Systems. Experience using multiple data systems and sources (such as Hadoop, Spark, Aster, Teradata, etc.
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Demonstrated competency in using data-access technologies such as SQL, Spark, Databricks, etc. Experience with Geospatial data search and analysis, geo-indexing techniques, vector and raster data structures.
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As a Sr Data Scientist, you’ll join a Data Science team responsible for building and enhancing Target’s digital testing capabilities. Whether you join our Statistics, Optimization or Machine Learning teams, you’ll be challenged to harness Target’s impressive data breadth to build the algorithmsthat power solutions our partners in Marketing, Supply Chain Optimization, Search and Personalization rely on.
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Expereince in Big Data Engineering with Spark / AWS EMR & Glue. As a Senior Data Scientist, you will. PREFERRED QUALIFICATIONS - Domain knowledge and expertise of paid marketing, specifically in Paid Search and Organic Search.
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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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A Senior Data Scientist solves complex problems that do not yet have solutions in the research. This position gains experience in various areas including, but not limited to: predictive modeling; personalization and recommendation algorithms; natural language processing and text mining; search recall, precision, ranking, and related problems; optimization and mathematical programming with applications in labor scheduling, inventory and capacity planning, network flows, and supply chain optimization.
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As such, our research spans many Machine Learning areas, including deep learning, search and recommender systems, causal inference, reinforcement learning and bandits, computer vision, computer graphics, natural language processing, and computational advertising.
$100,000 - $720,000 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Experience running heavy workloads on a distributed computing cluster (especially EMR or Databricks), leveraging technologies like Spark to work with large datasets preferred. This particular role is responsible for the research and application of open-source and proprietary NLP models, exploring new applications and solutions for related technologies in the fields of intelligent Q&A, search, recommendation, advertising, content creation, and customer service, to meet the growing demand for advanced contextual products on our platform.
$102,400 - $187,700 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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As a Lead Data Scientist - Experimentation, you'll join a Data Science team responsible for enhancing Target's digital testing capabilities. JOIN TARGET AS A LEAD DATA SCIENTIST - EXPERIMENTATIONAbout Us:Working at Target means helping all families discover the joy of everyday life.
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