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Strong understanding of relevant AI frameworks, tools, and programming languages (such as Python, Java, C , and Y) and the ability to apply data science and in-depth knowledge of machine learning, deep learning, natural language processing, and computer vision.
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Focus areas include customers, stores and employees, in-store service, merchant tools, merchant data science, and search and personalization. Desired Technology Stack: Scala, Java, ReactJS,Kafka, Akka, Play Framework, Cosmos DB, and experience with Cloud Platforms like Azure, GCP, or AWS, as well as Spark.
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Research or previous internship/work experience in algorithms, artificial intelligence, compilers, database, data mining, distributed systems, machine learning, search. Strong analytical skills with Data Science experience.
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The Search and Browse Data Science team builds the core relevance engine and Data Science products that power Target’s digital experience. You will get the opportunity to develop in one or more approved programming languages (Java, Scala, Python, R), and learn and adhere to best practices in data analysis and data understanding.
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Must Have: JAVA and solid fundamentals in Algorithms, Data Structures, Complexity Analysis and Object-Oriented Design to be considered. You have experience with search engines such as Solr, Lucene or ElasticSearch.
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Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field At least 6 years of experience designing and building data-intensive solutions using distributed computing At least 6 years of experience programming with Python, Go, Scala, or Java At least 1 year of experience with HPCs, vector embedding, or semantic search technologies At least 1 years of experience building, scaling, and optimizing training or inferencing systems for deep neural networks.
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Working knowledge in one of the following areas: machine learning, deep learning, backend, large-scale systems, data science, full-stack. On the TikTok Search Team, you’ll have the opportunity to build a full-stack search engine system and combine information retrieval technology with modern machine learning methods from related fields such as NLP, CV, and recommender system.
$145,000 - $250,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Enlighten, honored as a Top Workplace from the Baltimore Sun, is a leader in big data solution development and deployment, with expertise in cloud-based services, software and systems engineering, cyber capabilities, and data science.
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Experience working with big data systems (Spark, EMR, Kafka, S3, Airflow) and programming languages (Java, Scala, or Python). Good understanding of data science and machine learning fundamentals like regression, classification, tree-based approach, neural networks, and sequence-based models.
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Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
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The Marketing Decision Science team focuses on developing data-driven models and services to bringing high-quality demand from offsite digital sites to Walmart E-Commerce sites at low cost in order to sustain and accelerate the growth of Walmart E-Commerce and ultimately cultivate a large loyal base of omni-channel customers who view Wal-Mart as their top choice of retail shopping.
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Java, JavaScript, Python, Go, Zig, Kotlin, Rust or other OOP or modern imperative language. Current undergraduate student pursuing a degree program in Computer Science, Mechanical Engineering, Electrical Engineering, IT or related field with a strong technical background.
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Ph. D. degree in Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field. 3 years of experience in data science or advanced analytics in industry.
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Experience with data intensive analytical solutions leverages relational (Redshift, Oracle), non-relational (Postgres, Aurora, Graph databases) and search-based data platforms (SOLR, Open Search.
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Job Details Enlighten, honored as a Top Workplace from the Baltimore Sun, is a leader in big data solution development and deployment, with expertise in cloud-based services, software and systems engineering, cyber capabilities, and data science.
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