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Familiarity with data exploration and data visualization tools like Tableau, Looker, etc. We are seeking a highly motivated and talented Senior Data Scientist to join our team of experts in developing and maintaining recommendation and personalization algorithms for Disney Streaming's suite of streaming video apps.
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You'll code with machine learning tools like Python, Jupyter Notebook and Databricks to synthesize millions of data sets into patterns that answer ad hoc requests and then use Tableau for data visualization.
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Data Scientist (NYC, LA, SF or Seattle) Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark.
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The Geospatial Data Scientist will report to the Mobile Technology & Remote Sensing Manager in the Technology Services Group and support both internal and external clients within the Environment Business line.
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Some experience as a Data Scientist or advanced analytical role. Expertise in Python, R, SQL, statistics, data mining. Visualize insights using Microsoft Office, Tableau, Python, R.
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Strong knowledge of database development and management, data analysis, visualization, and statistical tools such as Azure, Apache Spark, Hadoop, SQL, R, SAS, SPSS, Python, Power BI, Tableau, etc.
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Significant experience as a Data Scientist or advanced analytical role. 5+ years of experience working in the field of Data Engineering and Data Science. In this role, you will conduct sophisticated data analytics, data mining, exploratory analysis, predictive analysis, and statistical analysis.
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12+ years of experience working in the field of Data Engineering and Data Science. + Perform statistical analysis and data mining to create predictive systems. + Evaluate model performance by applying data science and math.
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Proficient in MS Office, and industry-standard statistics and data visualization packages (Grafana/PowerBI/Tableau), Machine Learning Algorithms (Supervised, Unsupervised, classification, regression), and data structures (SQL), and Deep Learning (Pytorch/Tensorflow/ Keras.
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Knowledge in programming and data management (Python, SQL, Tableau) Prior internship experience in data science or quantitative trading is desirable but not required. Build Tableau reports dedicated to the Market & Liquidity Solutions department (turnover reports for instance.
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Master's degree in mathematics, finance, and data science. Help build data science models to predict best execution methodologies or best counterparty. You'll gain experience in working first-hand with experienced traders and data scientists to research and apply the latest quantitative techniques to solve business problems.
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Experience leveraging cloud based big data technologies (Hive/Hadoop) and modern data visualization tools (Tableau, ThoughtSpot, Looker) to blend data from multiple sources to help answer multi-dimensional business questions.
$143,000 - $286,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Senior Data Scientist. Familiarity with RESTful APIs, web scraping, and processing unstructured data. Experience with visualization tools and techniques (e.g., Periscope, Business Objects, D3, ggplot, Tableau, SAS Visual Analytics, PowerBI.
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Experience with big data technologies (e.g., Hadoop, HIVE, HDFS, HBase, MapReduce, Spark, Kafka, Sqoop) Knowledge of visualization and presentation techniques including Tableau, Power BI, Jupyter Notebooks, etc.
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Python ecosystem preferred, R will be acceptable, machine learning libraries & frameworks (e.g. TensorFlow, PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI.
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