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Use Scala, Java, or Python to utilize Hadoop/Spark to process large-scale datasets. Join our team as a Data Scientist in Boston, MA. At Magnite, we cultivate an environment of continuous growth and collaboration.
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Advanced experience in data mining with a range of advanced technical tools (Python, R, Hadoop, Hive, SQL, Java, Spark, etc.) Remains fluent with emerging technologies and methodologies, shares knowledge, and serves as subject expert and a mentor to junior data scientist.
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6+ years) as a data engineer and data scientist, preferably in a fast-paced technology or analytics-driven environment. Big Data(Spark, Scala) SQL - Hive, Teradata, Spark SQL. To discuss this amazing opportunity, reach out to our Talent Acquisition Specialist.
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Big data concepts and technologies, such as: Apache Hadoop, Apache Hive, Solr, Cloudera, MapReduce, R, Spark, Kafka, NiFi, and the ELK (ElasticSearch, Logstash, Kibana) stackDevOps concepts and tools, such as: GitHub, JIRA, Maven, Jenkins, Chef, Ansible, Docker, ELK stack, Nexus, NagiosDatabase platforms, such as: Oracle, MySQL, NoSQL, Mongo DB, HDFSProgramming languages, and related web technologies, such as: Java, Javascript, Python, C#, C.
$69,287 - $172,075 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Demonstrated experience conducting data science using the Apache Zeppelin and Jupyter notebooks platforms and Spark/Pyspark. Demonstrated experience with a variety of database tools, such as SQL and Presto, and data lakes/S3 data.
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Our client is a growing Fintech startup that is looking for a full-time Data Scientist to join their team in San Francisco. Experience with big data technologies such as Hadoop, Spark, and Hive.
$150,000 - $170,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Python, R, SQL, SAS Good To Have Experience in working on Big data, Cloud, Hadoop, Spark, End to end deployment. we are looking for a Senior Data Scientist to help drive actionable insights using artificial intelligence and machine learning algorithms.
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In this role you will work across our client engagements, providing expertise in cloud computing, such as Azure Cloud including AML, ADF/Azure Cloud, Machine Learning, NLP, Bigg data procession, Depp learning, Azure/Databricks/Data Lake, ADF, Python (data wrangling, joins, cleaning, visualization, statistical learning), Azure SQL, Git, Apache Spark (cluster computing/managing.
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As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence.
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Proficiency in Python, Hadoop, Hive, Spark for big data analysis and modeling. Managing model risks in line with Visa Model Risk Management requirements. Experience with modern Deep Neural Network framework (e.g. RNN, LSTM, Transformer) and tools (e.g., PyTorch, TensorFlow.
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Experience with cloud platforms such as AWS, Azure, or Google Cloud, and familiarity with distributed computing frameworks (e.g., Spark, Hadoop). Strong understanding of machine learning concepts and techniques, including deep learning, reinforcement learning, natural language processing, and computer vision.
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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 Full Stack Senior Data Scientist is a key role in the transformation of business.
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Experience developing with SQL, NoSQL, ElasticSearch, MongoDB, and Spark, Python, PySpark for model development and ML Ops. 7+ years experience as ML engineer, architect, engineer, lead data scientist in Big Data ecosystem or any similar distributed or public Cloud platform, with a desire to assume greater responsibilities as a leader and mentor, while still being hands-on.
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Expertise in ingesting data from a variety of structures including relational databases, Hadoop/Spark, cloud data sources, XML, JSON. The Hartford is seeking a Director and Data Engineer within Actuarial to lead machine learning engineers to design, develop, and implement modern and sustainable MLOps framework to fuel machine learning and artificial intelligence solutions across a wide range of strategic initiatives.
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2+ years of experience with Distributed data and computing tools, including Hadoop, Hive, EMR, Kafka, Spark, or MySQL. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges.
$73,100 - $166,000 a yearFull-timeExpandApply NowActive JobUpdated Today
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