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This candidate should be proficient in using BI tools such as Tableau, in addition to experience with one or more modern technologies such as relational databases, AWS, Snowflake, Python, Databricks, Git, and Machine Learning.
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Proficient in creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, natural language processing, decision trees, neural networks, etc.
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Experience with big data technology (Spark) and experience with cloud platforms (AWS, Google Cloud) is desirable. Proficiency in at least one of the programming languages such as Python, Java, GoLang.
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Proficiently use at least one common data science language to develop models (Python, R, etc.) You will work with engineers to onboard data, perform scientifically rigorous insight discovery and research, and develop the right statistical and machine learning model-based solutions to deliver impact for builders.
$143,300 - $247,600 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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You will use analytics and quantitative techniques to help our clients solve Financial Services Risk Management issues (in relation to consumer and commercial credit, climate change, consumer compliance/fair lending, risk rating, artificial intelligence/machine learning usage and related) facing the financial services sector, drive business efficiencies, and manage risks and opportunities in banking book portfolios.
$90,600 - $149,600 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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Within MAP, the Analytics team fulfills two primary functions: 1) Operations research to improve decision-making using big data and advanced analytical methods, including machine learning and artificial intelligence techniques, optimization algorithms, simulation and statistical analyses.
$78,721 - $150,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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Machine Learning | Physics | Embedded Systems | Signal Processing | Data Analysis | Nvidia | Electrical Engineering | Cloud Computing | Cuda | TensorRT | Radio Frequency | Transmission Processing | Linux OS | Pytorch | Python | Causal Inference.
$175,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Must have 4 yrs of exp w/: bldg stat & machine learning modls; Python & SQL; wrkg w/ lge datasets & bldg data pipelines using Scala or Python; visualizatn tools (Tableau or matplotlib); Stat Inferences; anlyzg results & presentg results to tech & non-tec stakehldrs; usg mach learng & data sci techniques for data discovry & exploratn; & Model Interpretatn.
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As a Lead, Machine Learning Engineer, you will partner with Data Scientists, Data Engineers, Data Analysts and other professionals to implement machine learning models that will deliver stability, producibility, scalability and integration with other products and services.
$127,100 - $209,800 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Proficiency with CI/CD processes and contributes to a sustainable and robust codebaseExperience with batch jobs/data pipelines and is comfortable deploying through these systems (i.e. Airflow, Luigi, Composer)Build and interact with production systems for serving machine learning predictions.
$165,000 - $190,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Minimum Qualifications: 3+ years of professional experience in software engineering, using Python technologies Prior professional experience working with machine learning engineers and data scientists Experience with JavaScript frameworks such as React and TypeScript Professional experience with Spark and/or PySpark Prior experience with Gen AI tools such as GPT or BERT is a plus.
$130,000 - $170,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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Experience in Data science and Machine learning using Python, R, Java, C#, Spark, AutoML, TensorFlow, Amazon AML, Microsoft machine learning studio, PyTorch, IBM Watson and any graph DB.
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Minimum of two years of experience with modern data engineering technologies such as: S3, data warehouse, SQL, DBT, Python, orchestration tools, etc. A hacker with general interest in learning about new technologies and coming up with solutions to unsolved problems.
$100,000 - $120,000 a yearFull-timeExpandApply NowActive JobUpdated Today
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