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Preferred Qualifications: Master's degree in data science Knowledge of relational databases such as MySQL , snowflake and BigQuery. Basic Requirements: Bachelor's degree in computer science, Data Science or related technical field 10 years of technical experience doing data science in a Telecommunications company 5 years of experience performing data science and programming 5 years of experience using AWS Cloud technology 5 years of experience programming using C/C.
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Expertise with Google Cloud Platform’s distributed Machine Learning, Data Science and Data Engineering tools (e.g. BigQuery ML, VertexAI, AutoML, Docker, Kubernetes, Kubeflow, Dataproc.
$140,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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The Department of Data Science (DS) at New Jersey Institute of Technology (NJIT) seeks candidates to fill Adjunct Professor positions. Adjunct Instructor - Data Science. Successful candidates must have an MS degree in Data Science or Computer Science or a closely related area (a PhD degree is preferred.
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Center 1 (19052), United States of America, McLean, VirginiaCurrent Master's - Data Science Internship - Summer 2025Key Role DetailsThis is a full-time paid internship program spanning ten weeks from June through August 2025.
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Experience with cloud and modern data science tools and platforms such as Databricks MLFlow, GCP BigQuery, AWS SageMaker, Kubeflow, and Azure ML. Lead and participate in solutioning sessions, working hand-in-hand with businesses/clients, translating business objectives into actionable machine learning/data science use casesWhat You'll Bring.
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Drives strategic data sourcing and tooling projects to deliver new capabilities and tools in support of data science into the audit department, building use-cases, and repositories of data sources and re-usable data analytics products for the area of responsibility.
$156,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience leveraging complex data to drive business decisions, hands-on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Python, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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This include applying data science and technology skillsets when working with large-scale financial institutions, financial technology ("fintech") organizations, and other money service businesses.
$252,450 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Minimum of 5 years of technical experience and 3 years of experience specifically in data science and machine learning. Experience with cloud computing platforms (, AWS, Azure, GCP) and cloud native computingProficiency in programming languages like Python, Java, Scala, C#, SQLExpertise in big data technologies such as Hadoop, Spark, Kafka, and NoSQL databasesKnowledge of data modeling, ETL processes, and data warehousing conceptsExceptional problem-solving abilities and teamwork skills.
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Bachelor's degree in Computer Science, Data Engineering, Machine Learning, or a related field is required. Oversee the design, development, and maintenance of data infrastructure using platforms like Snowflake, Adtran, Databricks, SQL, COSMOS DB, Apache Kafka, Hadoop, Spark, DBT (Data Build Tool) and cloud data services (AWS, GCP, Azure.
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8+ years of relevant data science experience in an applied role - preferable w/in retail, logistics, supply chain or CPG with a focus on NLP and AI. The Data Science team leads the strategy, development and integration of Machine Learning and Artificial Intelligence.
$140,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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YOUR SKILLS AND EXPERTISEBachelor’s degree in computer science, data science or a related field with five (5) or more years of working as a data engineer, ETL developer and/or data warehouse DBA.STANDOUT QUALIFICATIONS:Experience with Cloud-based data services and solutions (Azure Synapse / Data Lake, AWS RedShift, Snowflake, GCP Big Query)Experience partnering with Analytics and Data Science teams in building out production grade GenAI/ML solutions.
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Our site in Santa Clara, CA is looking for a Senior Staff Scientist - Real World Evidence and Data Science. Support digital health and data science initiatives. You will work within the Abbott Global Data Science & Analytics team with a focus on medical devices in the coronary and peripheral vascular space.
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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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Required background/ Skillsets: Prior working experience in Data bricks Snowflake Python Data science background Proficiency in Python for software development and scripting. NOTE: THIS POSITION IS TO JOIN AS W2 ONLY. Data Engineer with Databricks Location: Remote Duration: 6+ Months Daily Responsibilities: Design, develop, test, deploy, maintain, and improve software applications and services.
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data science jobs Title: data engineer Company: Harnham
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