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Master’s degree or PhD in Engineering, Statistics, Machine Learning, Computer Science, Econometrics, or other quantitative fields. Prior hands-on experience in data science modeling for credit risk, fraud, loss forecasting, capital market analytics, marketplace lending.
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Hands-on experience with big data technologies such as Hadoop, Spark, or Kafka. Familiarity with machine learning frameworks and data science workflows. As a Data Engineer, you will have the opportunity to make a significant impact on our data-driven initiatives and contribute to cutting-edge projects that shape the future of our industry.
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Keep up-to-date with emerging technologies and trends in data engineering, cloud computing, and machine learning, evaluating their potential impact on our systems and processes. Extensive knowledge of cloud platforms such as AWS, Snowflake, or Databricks, along with hands-on experience in deploying and managing cloud-based data solutions.
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Learn more about ADP at A little about ADP: We are a global leader in HR technology, offering the latest AI and machine learning-enhanced payroll, tax, HR, benefits, and much more. Experience with relevant code repository and project tools such as GitHub, JIRA and ConfluenceWorking experience with Continuous Integration & Continuous Deployment with hands-on expertise on Jenkins, Terraform, Splunk and Dynatrace.
Full-timeExpandApply NowActive JobUpdated 2 days 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, Pytong, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Hands-on experience in one or more of the following areas: machine learning, deep learning, statistical models and applied mathematical methods. 3+ years of experience in similar fields as a tech lead in a team consisting of at least three machine learning engineers or applied scientists.
$210,000 - $358,000 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving. - Experience with neural deep learning methods and machine learning.
$136,000 - $260,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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3-5 years of experience in a few areas: cloud computing, software engineering, distributed computing, machine learning, natural language processing, computer vision, image processing, database systems, security, data platforms.
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E, AWS and GCP) Strong verbal and written communication skills Ability to conduct meetings and make professional presentations, and explain complex concepts and technical material to non-technical users Experience with machine learning platform for search & discovery related rankings is a strong plus Pay & Benefits Our compensation reflects the cost of labor across several US geographic markets.
Starting at $142,000 a yearExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Hands on experience as a data scientist, algorithmic engineer, or machine learning engineer in a technology company. Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit.
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This Principal Engineer will need to have strong Java, Python, Data Structures and algorithms experience and be hands-on, as well as have some packaged software design and implementation experience.
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Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types.
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Founded in 2010, BrainTrust is an ever-growing and evolving company, with focus areas of Software Engineering (Machine Learning, Cloud Computing, HPC, Data Mining, HLT), Mission Operations (System Integration, Sensors, Deployment, Training, Support), and System Engineering (System Design, Requirements, Process Engineering, Resource Allocation.
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Strong SQL skills and hands-on experience with analytic tools like R & Python & visualization tools like Qlik or Tableau. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.
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As an SDS Machine Learning Engineer, you will employ predictive modeling and statistical analysis techniques to build end-to end solutions for improving security, fraud prevention, and operational efficiency across the company, from manufacturing to fulfillment to apps and services.
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