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Hands-on experience with big data technologies and cloud (Databricks / Spark, Azure/AWS/GCP). If the candidate does not have a background in Actuarial science, the candidate should have 4+ years of industry experience building and analyzing machine learning models and should hold a graduate degree in a technical field such as Statistics, Computer Science, Data Science, Bioinformatics, Physics, Mathematics, Economics or Engineering.
$172,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Utilizing knowledge of data science and machine learning frameworks including PyTorch, Keras, TensorFlow, and Scikit-learn; natural language processing including generative AI LLMs, NLTK, Spacy; and cloud platforms including AWS and Azure in the performance of job duties.
$160,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Understanding of foundations of Big Data systems and hands-on experience with distributed computational frameworks such as Apache Spark / Apache Beam and NoSQL data stores. Experience with working on large data sets, especially with Spark, Python and Java. Experience with cloud computing platforms, such as AWS or GCP. Experience with Kubernetes.
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Use Hadoop, Shell, Python, Perl, HDFS, MapReduce, Hive, Impala, Spark, Kafka, Linux, SQL, COBOL, Sequential, CSV, ETL, Unix, Datastage, DB2, Oracle, Snowflake, AWS, Azure, Autosys, Jira. 40 hrs/wk.
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Must be familiar with Data Science concepts including at least one of: Experience with Python Experience with data science programming in Python including numpy, pandas, scikit-learn, pytorch, matplotlib Experience with databases and SQL Ideally, experience with big data tech stacks such as map-reduce, spark, etc.
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Expertise in key data areas: Integration Services (Informatica Cloud, Airflow), Database/Data Warehouse (AWS RDS, Snowflake, AWS Redshift, SQL knowledge), Data Modeling (SQLDBM), Big Data (Spark, Hadoop), Data Quality (Informatica CDQ), Master Data Management (Informatica MDM), Metadata Management/Data Catalog (Informatica EDC), Data Mesh and Domain-Driven Design, Data Governance, Data Security (Data privacy, GxP, SOX.
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Mandatory skills: Apache Spark, Apache Hadoop, Big Data, Java/Scala OR Kubernetes. 5+ years of relevant experience in big data technologies and cloud platforms (i. Master’s or bachelor’s degree in computer science or information system, or equivalent experience.
Full-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Strong knowledge, experience, and fluency in a wide variety of tools including Python with data science and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch), Spark, SQL; familiarity with Alteryx and Tableau preferred.
$145,000 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Skilled in managing large-scale data storage and analysis using technologies like Spark, Presto, Hive, and Hadoop, and proficient in building advanced data pipelines. As a Data Scientist at Global Partners, you will play a crucial role in owning development of Data Science and Machine Learning models from our vast data sources and contributing to data-driven decision-making.
Full-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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The BIDMC Cardiology Division and CardioVascular Institute is seeking a highly motivated individual with expertise in Data Science and Machine Learning to work on multiple clinical and translational research projects focused on cardiovascular disease.
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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.
Full-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Extracts data using a variety of a programming languages, such as SQL, SAS, Python, or Spark/Scala, and applies knowledge of relational and non-relational database systems housed on both on-premise and off-premise (hybrid) platforms.
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Softrams is a Maryland and Virginia-based small business information technology, consulting, and solutions provider specializing in emerging technologies for UX/UI, mobile apps, DevOps, big data analytics, data science, and cyber security.
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The Massachusetts General Hospital (MGH) Corrigan Minehan Heart Center and Cardiovascular Research Center is seeking a highly motivated individual with expertise in Data Science and Machine Learning to work on multiple clinical and translational research projects focused on cardiovascular disease.
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Hands on experience in data engineering, working with big data framework like Spark/Hadoop. Experience in data science for e-commerce and/or OTA. Our ultimate goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology.
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spark data science jobs in Cambridge, MA
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