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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.
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Experience with two or more of the following: Python, Silk, JSON, Data Analytics, MongoDB, Elastic Search, Postgres, Ansible, Vue.js, React, HTML, Kubernetes, Docker, Podman, AWS, View Jazz Framework, Process Automation, UI Development, CI/CD knowledge.
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As a Staff Data Scientist, you’ll work on the GPC's Data Science team collaborating with data scientists, AI/ML engineers and product managers to build and augment our AI-driven digital Catalog, Discovery (Search & Recommendations) products.
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Data science, machine learning, optimization models, PhD 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.
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Strong Python background with Data Science and ML Operations. We are seeking a Senior ML Operations Engineer with MEAN/MERN Stack, Search Optimization, Server Side Rendering, Back-end API engineering, advanced Python and Flask expertise for a multi-year engagement to work with a foremost Healthcare IT Solutions Group in their Innovations Project Team.
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We are in search of talented individual who is interested in a career as a Python Data Engineer in HSAG's Data Science & Advanced Analytics division. ESSENTIAL COMPETENCIES, DUTIES, AND RESPONSIBILITIES Serve as the Python programming expert for the HSAG Data Science & Advanced Analytics division.
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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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The Python Data Engineer will work with a wide array of data to facilitate data exploration and fulfill client deliverables, including (but not limited to) the following data types: survey case review medical and prescription drug claims and encounters eligibility demographic clinical electronic health record registry vital statistics operational Details regarding potential project assignments and key sources of data will be discussed with potential candidates during the interview process.
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The Python Data Engineer position will design and implement HSAG's SAS to Python conversion activities. Additionally, the Python Data Engineer will be responsible for leveraging expertise in Python to extract, transform, and load (ETL) healthcare data from various sources and to use Python to analyze these data.
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The Python Data Engineer will also lead HSAG's efforts to convert SAS code to Python that will be utilized within a Data Bricks environment. Hands-on experience working within the Databricks unified data analytics platform with specific experience using Python to process, explore, and analyze data.
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0-1 years proven experience in SQL, R, Python software development and data science skillsets and Agile mindset. Development background and in depth experience with SQl, R-Shiny, Python languages PostgreSQL/PostGIS, SQL, MSSQL, Hadoop, or Oracle geodatabase design and data structures.
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Experience with two or more of the following: Python, React, JavaScript, Go, Silk, JSON, Data Analytics, MongoDB, Splunk, Elastic Search, Postgres, Ansible, HTML, View Jazz Framework, Jenkins, Process Automation, UI Development.
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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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Statistical programming skills (Python or R) and big data manipulation in SQL; (a plus to have experience building predictive models) Cross-functional leader across Analytics, Marketing, Product, Data Science, and Data Engineering.
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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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