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In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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Experience with "big data" and cloud computing technologies like Redshift, Hadoop, Hive, BigQuery. We're looking for an outstanding technical leader in economics and data science who specializes in statistical modeling, causal inference, and/or structural analysis to advance data-centric decision-making at Duolingo.
$314,100 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Opportunity to gain leading edge big data artificial intelligence experience with an exciting fintech firm and apply it consulting with some of the worlds largest private equity firms to assist them with their investment processes.
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Requires one (1) year of experience in each of the following: analyzing large data sets from multiple data sources for health care industry; Python; machine learning, statistical analysis, predictive modeling; SQL programming languages; “big data” platforms including Hadoop (Azure, GCP, or AWS); designing data models and solutions for analytical and reporting use cases.
$108,306 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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Your Impact Regional and national opportunities to develop and apply state-of-the-art Travel Demand ModelsWork in a supportive team environment with a group of diverse, talented peersOpportunities to write programs, work with Big Data and create solutions to help transform cities and communities Who You AreRequired Qualifications Bachelor’s Degree in Civil Engineering, Data Science, Transportation Planning or related field.
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Hands on experience in data engineering, working with big data framework like Spark/Hadoop. PhD or MSc in Computer Science / Operations Research / Statistics or other quantitative fields.
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Experience with big data technologies such as Spark and TensorFlow is a plus. Master's degree or PhD in Data Science, Machine Learning, AI, Computer Science, Statistics, Mathematics, or a related field.
$150,000 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Hands-on experience with big data technologies and cloud (Databricks / Spark, Azure/AWS/GCP) Graduate degrees in a technical field such as Statistics, Computer Science, Data Science, Bioinformatics, Physics, Mathematics, Economics or Engineering are preferred.
$198,000 a yearFull-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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This Senior Data Scientist, Machine Learning Engineer will leverage cloud computing technologies to develop, deploy, and manage predictive models that support decision-making processes across the Terumo organization.
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Chubb's North America Property and Casualty Data Analytics Division is currently seeking an experienced Senior Data Scientist with 5+ years of industry experience to join our fast-paced, high-energy team.
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Proficiency in Python, R, and SQL as well as data visualization and dashboarding tools (e.g. Tableau, Looker, QlikView) and Big Data technologies such as Apache Spark and cloud computing platforms.
$350 an hourFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Experience with big data tools (e.g., Spark, Databricks) Part of a rapidly growing team, you will apply data science methods and analytics to real business situations across retail fuel pricing.
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Experience with mainstream big data tools (e.g., Spark) and ML libraries (e.g., TensorFlow, PyTorch, Spark ML, etc.) Apply hands-on data science techniques, including advanced analytics, machine learning, statistics, etc.
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The Associate Commercial Data Scientist will be expected to interpret and tune machine learning algorithms, work in big data environments, apply statistical methods to develop robust solutions to client problems, have strong communication skills to communicate project findings to both internal and external stakeholders, and participate in client meetings.
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