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Demonstrate proficiency in at least one analytical tool (R, SAS, SQL, or Python), with additional experience in AI and ML techniques, including neural networks, deep learning, and natural language processing, considered a plus.
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Perform data exploration using a combination of statistical programming languages (including, but not limited to R, Python, SQL, SAS) and deploy predictive analytics and machine learning techniques to improve risk prediction, and related financial forecasting in a manner that is actuarially sound, and enable real-time results and operational efficiencies.
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Drive interpretation, socialization and adoption of data based actionable insights and support reporting manager in institutionalizing a data-driven analytical culture. Conduct statistical analysis and machine learning techniques to address various business questions through marketing mix model, forecasting and custom analytic projects and help answer a wide variety of business issues including marketing, media, pricing and ROI optimization.
$160,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proficient in using various programming languages and tools for data analysis and machine learning, such as AWS Sagemaker, Comprehend Medical, Python, SQL, TensorFlow, PyTorch, or Spark.
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Hands on experience with Modern Data Warehousing in cloud, Azure Data Factory, Azure Databricks, Pyspark, Azure DevOps, Azure Machine Learning, Azure Data Lake, Power BI, MS SQL Server, SSAS, SSRS, SSIS, Tableau, Alteryx, Natural Language Processing, Scikit-Learn (Classification, Clustering and recommendation system.
$169,900 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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Familiarity with data tools and languages (Python, R, SQL, Excel). This includes knowledge of statistical analysis, machine learning algorithms, data preprocessing, feature engineering, and model evaluation.
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Proficiency in SQL, Python and working with Data Science tools (e.g., git, kubernetes, Docker, etc. 4+ years of related work experience in the field of Data Science & Machine learning.
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Work with data science, consumer insights, media and web analytics, and BI teams to leverage data resources and champion new analytics solutions. Fundamental understanding of data science concepts, methodologies, and techniques.
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You’ll have the opportunity to work on projects covering a wide variety of problems spaces including player facing features powered by machine learning, improving game design with data focused tooling, and partnering with our Insights teams to help us make key strategic decisions and drive future planning.
$216,200 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Demonstrating ability to identify and incorporate tools and techniques using technology applications (e.g. Microsoft SQL Server, Access/Excel, Visual Basic, R, Python, SAS, Stata, Alteryx) and build reporting capabilities through data visualization (e.g. Tableau, Spotfire, Qlikview.
Full-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Certificates earned in data mining, machine learning, deep learning, statistical modeling, cloud computing, and data engineering. Master’s or Doctoral degree in Computer Science (with a focus on Data Mining, Machine Learning), Statistics, Econometrics, Operational Research, or other rigorous quantitative disciplines that require processing and modeling data at a complex and large scale.
$210,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Job Description The Research Data Scientist participates in biomedical research projects using programming, data-mining, statistics, machine learning, and visualization techniques to develop, evaluate, and/or apply algorithms and software for data analysis.
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Strong knowledge, experience, and fluency in a wide variety of tools including Python with data science and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch), Spark, SQL; familiarity with Alteryx and Tableau preferred.
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Proficiency in Python and R for data analysis and SQL for database querying is expected, alongside experience in deploying machine learning models using tools like Docker, Flask, or cloud solutions (AWS, Azure.
$48 an hourExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Ability to clean, process, and transform data as needed to facilitate analysis. As a Senior Analyst within Saatchi’s Data Solutions team , you collaborate with cross-functional teams to translate business objectives into actionable analytics initiatives.
$95,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago
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