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Phenomenal data visualization and analysis skills with expertise in Looker, Tableau, Power BI, Seaborne, etc. Write compelling stories that use the data – and data visualization - to compel the audience with the power of the insight.
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The Data Science team at Cash App derives valuable insights from our extremely unique datasets and turns those insights into actions that improve the experience for our customers every day.
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3-5 years of applied experience in machine learning, deep learning methods, statistical data analysis and complex data visualization; experience in life science industry would be a plus.
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Knowledge of Statistics, SAS, Python, Computer Vision, data visualization tools. For data Science/Machine learning Positions. Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT.
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Master’s degree in Data Science, Mathematics, Statistics, Biostatistics, Bioinformatics, Biological Sciences, or related discipline. Apply analytical methods to diverse sources of data and share results in varying formats, including data manipulations, data visualization, and data engineering.
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Good verbal, interpersonal, and written communication English skills Operate well within fast-paced, small teams 5+ years working with machine learning algorithms, deep learning frameworks, and common data science libraries Powered by JazzHR.
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Expertise at telling stories with data and familiarity with at least one visualization tool (e.g. Tableau, R-Shiny, Microstrategy, SAP Business Objects, Looker, etc.) You will be part of a world-class Data Science team that leverages data to drive insights about our products and customers.
$181,200 - $268,400 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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In this role, you will sit at the intersection of Data science, Engineering, and Product Management, & work collaboratively with different teams to transform data generated by our fleet of edge devices & other digital data into data products that provide actionable insights to our end customers.
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Proficient in programming languages such as Python or R.Familiar with MLOps toolkits and Data Science working suites like Google Vertex. Familiarity with data visualization tools (e.g., Tableau, Matplotlib.
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SoFi's Data Science team is seeking an experienced Senior Staff Data Scientist to help lead our machine learning efforts. The ideal candidate has a deep understanding of machine learning algorithms, strong programming skills, and a proven track record of driving successful data science projects from conception to deployment.
$172,800 - $297,000ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proficiency in analytics data visualization tools such as Tableau, Power BI, or other similar tools. Bachelor's degree in a quantitative field such as econometrics, computer science, engineering or applied mathematics, or equivalent work experience.
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We are seeking a highly skilled and experienced Data Scientist with expertise in Generative AI to join our team in San Francisco, CA. The ideal candidate will have a strong background in data science, machine learning, and specifically generative AI techniques.
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Position Overview: As the Lead Data Scientist, you'll play a pivotal role in leading our data science efforts and driving innovation through advanced analytics and machine learning.
$190,000 - $270,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with data visualization tools (Power BI, Tableau etc. Requirements 0-3 years of experience in Data Analytics, Data Science, or Investigative Analysis. Control Risks is looking for a Data Scientist to support a Fortune 500 client’s Investigations Enablement program.
$75,000 - $80,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Fluency in the data science tech stack, including Python (pandas, numpy, scipy, matplotlib, scikit-learn) for data science/machine learning, analytics/visualization/BI tools, and SQL.
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data science visualization jobs Title: data scientist in San Francisco, Laveen, Arizona
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