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Specialized training in Data Engineering, Data Science, Machine Learning, Big Data Platforms (Spark, Kafka, Hadoop, H2O, etc.) Knowledge of open-source application stack commonly used in data science workflows (Pandas, Spark, Sci-kit Learn, TensorFlow, Keras, etc.
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More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow.
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Apache Spark Ecosystem (Spark SQL, MLlib/Spark ML) experience or Java experience. By applying to this position, your application is automatically considered for the range of Machine Learning Scientist roles we have at Wayfair.
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High level of competence in Python, Spark and Unix/Linux scripts. Proficiency in Spark. Proficiency in Python data analysis and modeling. Graduate degree in a quantitative subject such as statistics, mathematics, economics, engineering or similar disciplines.
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Visualization tool experience - preferably with Tableau or Power BISound knowledge of ETL practices preferably spark in Data Bricks cloud big data technologies like AWS, Google, Microsoft, or Cloudera.
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The ideal candidate is someone with a background as a Data Scientist or developer tools who is comfortable writing Python; SQL is a nice-to-have. The ideal candidate is someone with a background as a Data Scientist or developer tools who is comfortable writing Python; SQL is a nice-to-have.
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Fuse's innovation culture and modern product development teams power the evolution of our commercial products and spark the creation of new businesses and products. The Data Scientist is a key role in the transformation of business.
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Knowledge of relevant tools in this field such as Hadoop, Hive, Splunk, Spark, Tableau, Excel (Charting and Pivot-Tables), and Power BI.Experience in product instrumentation is a plus. The Adobe Digital Imaging Data Science Team (Photoshop & Lightroom) is looking for a Data Scientist who is passionate about data and has the desire to provide an outstanding product experience for our customers.
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Tech: AI/ML - Python, Java (back end), Spark, R on MS Azure (Preferred) and AWS cloud. Tech: AI/ML - Python, Java (back end), Spark, R on MS Azure (Preferred) and AWS cloud. Other: Self-driven, Presentation skills, n (MS Office / Lucid chart, Visio, etc.
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Bonus: Experience with Databricks / Spark in addition to using multiple Cloud services' data products and services. Our researchers have a broad range of expertise related to computer science and electrical engineering, such as AI/ML, algorithms, digital signal processing, audio engineering, image processing, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT.
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Python or related language- Experience with neural deep learning methods and machine learning- Experience in partnering with product and program management teams- Experience with solving significantly complex problems and delivering to large scale architecture designs- Experience in building scalable systems based on web servicesPREFERRED QUALIFICATIONS- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
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Python or related language- Experience with neural deep learning methods and machine learningPREFERRED QUALIFICATIONS- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
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What You'll Bring:Experience with programming languages such as Python, R or SQL.Experience with big data technologies such as Hadoop or Spark. Experience with distributed computing tools such as Map/Reduce or Spark.
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Our main technology stack currently includes Redshift, Spark, AWS Glue, Databricks, dbt, Airflow, Looker, and Jupyter Notebooks. Our main technology stack currently includes Redshift, Spark, AWS Glue, Databricks, dbt, Airflow, Looker, and Jupyter Notebooks.
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Knowledge of advanced analytics tools such as Apache Spark, Databricks, and H2O for handling big data sets and performing distributed computing. Qualifications Job Qualifications: • Expertise in advanced data science, machine learning, and artificial intelligence techniques, supported by a strong track record in programming languages such as Python, R, SQL, and proven software engineering methodologies.
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