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The successful candidate will bring experience as a data scientist and machine learning leader working for a company where “AI” is considered core to the company's success. Serve as a strategic leader as part of our data science & machine learning team, with responsibility for Xometry’s pricing strategy.
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The candidate should have subject matter expertise in designing and implementing machine learning pipelines including a deep understanding of core ML frameworks such as PyTorch, TensorFlow or Scikit-learn and 3rd party ML platforms from Palantir, Dataiku, DataRobot, Alteryx and other vendors.
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Utilize advanced analytics and data science techniques, such as statistical analysis, machine learning, and predictive modeling, to analyze marketing data and predict future trends.
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You have familiarity with analytics like machine learning, natural language processing, or data visualization, particularly for creating tools that scale complex analytics workflows for less technical end users.
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Using data warehouses (e.g., Snowflake, Redshift, BigQuery) to load and analyze data, including using complex SQL queries to transform data and tools like dbt to manage data transformation.
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Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Transform your career to the next level with GDIT as a Solutions Architect where you can elevate your skills in Data Science, Machine Learning, or leading AI techniques and technology expertise into solutions in support of our Government customers.
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Support in improving grant-making systems for capturing, managing, and reporting project and program-scale conservation data for use in dashboards. The Staff Scientist will work closely with science and program staff to implement standardized protocols to collect, analyze, and clean spatial data to monitor, measure and communicate our impact and to foster organizational learning in accordance with the Foundation's vision and strategic plan.
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Experience developing and delivering technology in at least two of the following areas: data analytics, machine learning, data visualization, geospatial analysis, web services, or database development.
$96,000 - $144,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As part of a growing team this role will have the ability to leverage and work with new capabilities as they are deployed including deception infrastructure, continuous penetration testing, data loss prevention (DLP), and machine learning capabilities.
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Experience with big data analytics, machine learning, artificial intelligence, or anomaly detection. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning.
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Stay current with emerging trends, methodologies, and best practices in quantitative finance, econometrics, statistics, and machine learning, and apply them to enhance modeling capabilities and stay ahead of the curve.
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AWS Graviton powered instances provide the best price performance and support a wide range of computing workloads including application servers, microservices, high-performance computing (HPC), CPU-based machine learning (ML) inference, video encoding, electronic design automation, gaming, open-source databases, and in-memory caches.
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Job Description AECOM is seeking an Electrical Engineer Lead specializing in Hyper-scale Data Centers to act as Data Center Electrical Engineer Lead. The job incumbent will be responsible for designing, implementing, and maintaining electrical systems in large-scale data centers.
$190,000 - $245,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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3+ years’ experience working with projects involving machine learning, natural language processing, robotics process automation, artificial intelligence, text and/or data mining, as well as statistical and mathematical methods.
$102,900 - $216,200 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago
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