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The Risk Data Scientist will use analytical skills to identify and prevent fraud & credit risks. We are looking for a Data Scientist to join our Risk Data team. You will own the key metrics, develop data pipelines, ETL. You will also make a direct impact on Square's priorities and Banking initiatives (primarily SQ’s debit card) by building risk detection strategies, developing & tracking key success metrics, influencing partners through data and enabling growth of the business.
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Knowledge of Statistics, SAS, Python, Computer Vision, data visualization tools. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
Full-timeExpandApply NowActive JobUpdated 29 days ago - UpvoteDownvoteShare Job
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Senior Data Scientist, Strategic Analytics - Data Science. Specific responsibilities and qualifications for the Senior Data Scientist role are outlined below. Advanced understanding of data science and visualization tools (Python, R, SQL.
$88,600 - $181,900 a yearFull-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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They are currently seeking a talented Data Scientist to join their team. Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field. Proven experience in machine learning, data analysis, and modeling.
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A Senior Core Data Scientist has expert-level knowledge of python and machine learning. A Senior Core Data Scientist is an expert in manipulating and modeling data to extract value.
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Data Scientist Engineer (1 year experience, remote) Strong knowledge of R or Python for data analysis and modeling. Basic experience in computational finance, econometrics, statistics, and math.
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Senior Data Scientist Key Responsibilities. Collecting data or performing administrative tasks - we have a junior operations analyst team to do this type of work. 2+ years of work experience working in a technical field (science, technology, programming, financial services, data science, etc.
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Have a chance to use machine learning tools to develop data-driven solutions. Experience driving data-driven solutions and project-managing their implementation. Diagnose problems and develop compelling, data-driven recommendations.
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As a Data Scientist Intern at IBM, you’ll help transform clients’ data into tangible business value by analyzing information, communicating outcomes, and collaborating on product development.
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As a Data Scientist on the BA team, you will help inform and facilitate the successful execution of SVB's go-to-market strategies by providing accurate, timely, and meaningful insights. Proficiency in data visualization using tools such as Tableau, Power Bi, or MATLAB.
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BASIC REQUIREMENTS GS-1529 MATHEMATICAL STATISTICIAN (Data Scientist): You must have a degree that included courses in mathematics and statistics totaling at least 24 semester hours. Experience coding in various programming languages (such as R, Python, SQL, or JAVA) to conduct various phases of data science projects.
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2 Years Experience executing and deploying data science, machine learning, deep learning, and Generative AI solutions preferably in a large-scale enterprise setting (fewer years may be accepted with a Masters or Doctorate degree.
$75,300 - $143,100 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Position Title: Data Scientist, Python - Remote. In the Data Scientist role, you will collaborate with 2 other Data Scientist to leverage Machine Learning and AI technologies to create data products which inform decisions and provide insight.
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Demonstrating experience as a data scientist, with a focus on developing generative AI solutions; Working knowledge of programming skills in Python, R, or similar languages, with experience in data manipulation, analysis, and modeling libraries (e.g. NumPy, Pandas, scikit-learn, TensorFlow, PyTorch.
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Position - Data Scientist. and codified healthcare data standards (e.g. ICD, CPT, HCPCS, CVX, LOINC, NUCC, NPPES, etc.) Healthcare data expert across various data types (e.g. open/closed claims, inpatient/ambulatory EMR, commercial labs, social determinants, etc.
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Title: data scientist in Charlotte, NC
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