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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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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 building loan-level credit/prepayment models from data preparation, data analysis, and model estimation through deployment into productionExperience with generalized regression models as well as machine learning frameworksVery strong programming and software design skills (Python, C.
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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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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.
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Become familiar with common data collection, cleaning, analysis, and visualization technologies including, but not limited to, Python, R, SQL, Cypher, Power BI, Tableau, etc.) Understand and apply concepts associated with data modeling, machine learning, and artificial intelligence (AI) and their application in client workflows.
$151,600 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Candidates should demonstrate expert knowledge in one or more of the following areas: data management, machine learning, deep learning, artificial intelligence, data visualization, programming Python, programming in R, databases, and related topics, either through a record of teaching excellence or through industrial experience.
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Experience managing and analyzing large data sets using data science tools such as artificial intelligence and machine learning. Knowledge of coding and programming skills, including but not limited to Bloomberg, FactSet, Python, R, or equivalent.
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RNN) in a work setting, not just academic projects Hands-on experience in building and deploying machine learning and statistical models using Python, PySpark, Machine Learning libraries, SQL. Experience in computing/programming skills; proficiency in Python, R, and Linux shell script.
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You’ll form strong relationships and collaborate with engineers outside of your immediate team, designers, leaders, PMs, data scientists, and user researchers to both scale our product efforts and invest in each other’s learning, growth, and success.
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Proficient with the core concepts of at least one programming language such as Python, R, and SQL and adept with machine learning frameworks such as TensorFlow and PySpark. Accredited Artificial Intelligence (AI) / Machine Learning (ML) certifications (, AWS, Google Data Analytics, Microsoft Azure) Information for applicants with a need for accommodation: The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.
$198,375 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Strong knowledge with databases, such as Redshift, and Python computing stack via cloud platforms such as AWS and Databricks. Prior experience in delivering impact using statistical analysis, predictive modeling, and machine learning.
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Proficiency with data analysis tools (i.e., Python, R, MATLAB and machine learning techniques. Machine learning or data science certification from Certified Analytics Professional (CAP) or similar organizations.
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Experience may be gained concurrently and must include one (1) year in each of the following:-Building statistical models and machine learning models using large datasets from multiple resources-Working with Customer, Content, or Product data modeling and extraction-Using database technologies such as SQL or ETL-Applying specialized modelling software including Python, R, SAS, MATLAB, or Stata.
$178,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience in working with tools like SAS E-miner and use machine learning models to identify patterns and anomalies in transaction data indicative of fraudulent activity. Familiarity with other programming languages such as Python, R, or Java. Knowledge of data extraction tools such as Hive or Hue.
$153,200 a yearFull-timeExpandApply NowActive JobUpdated Today
data learning python jobs in Jersey City, NJ
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