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Requires 3 years of experience using at least one of the following scripting languages: Unix Shell Scripting, Python, Groovy, Perl or PowerShell; and 3 years of experience engineering with DevOps tools including JIRA, Confluence, Jenkins, Artifactory, Ansible, Maven, Gradle and Splunk.
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Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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C#, C, Java, Ruby, HTML5, XML, SQL, Perl, Python, Ajax, Qt) on Windows, Linux, mobile platforms, and embedded real time operating systems (VxWorks, Linux, QNX, Integrity, Windows CE, and others for Motorola, Intel, TI, and custom processor designs.
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. 3+ years of experience in application development including Python, SQL, Scala, or Java.
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Interact with stakeholders to understand their business questions, crafting the methodology, to mine/analyze datasets utilizing SAS/R/Python and ultimately delivers a final insightful recommendation to stakeholders.
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We are looking for a Full stack developer who is has strong Java & python (Some Golang exposure) experience plus working exposure with data and analytics platforms. You will be writing python functions, java functions and sometimes supporting existing Golang functions to help with the data platform day to day activities.
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7+ years of scripting (power shell, Python) and development (Java, J2EE, JavaScript, React, Rest API) experience. Hands on experience with JavaScript, Python, Ruby, PowerShell, or other scripting languages preferred.
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Experience performing data analysis using various data analytics tools (i.e. Microsoft Excel, Tableau, R, Python, SQL, Snowflake, SAS, Adobe Analytics). Experience performing data analysis using various data analytics tools (i.e. Microsoft Excel, Tableau, R, Python, SQL, Snowflake, SAS, Adobe Analytics.
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Proficiency in data engineering tools and technologies - SQL, Python, Spark, DBT, Airflow, Kafka. Proficiency in data engineering tools and technologies - SQL, Python, Spark, DBT, Airflow, Kafka.
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3+ years of hands-on experience with Artificial Intelligence (AI) such as reinforcement learning, or optimization algorithms Preferred qualifications, capabilities, and skills: PhD in Economics Experience developing advanced forecasting, AI, or ML models in consumer finance, financial services, tech, or a major retailer AWS Certified Machine Learning or Microsoft Certified: Azure AI Fundamentals preferred Expertise in at least one programming language, with Python preferred.
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Are familiar with the Python data science stack through exposure to libraries such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, scikit-learn. Are skilled and have a deep understanding of Python software development stacks and ecosystems.
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Leverage advanced knowledge of Python open-source software stack such as Django or Flask, Django Rest or FastAPI, etc. 10+ year(s) of experience participating in projects that focused on one or more of the following areas: Predictive Analytics Data Design Generative AI AI/ML ML Ops 3+ years of experience using Python.
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Competency with Microsoft Office, Business Intelligence (BI) and Data Visualization Tools including Tableau, Power BI, Python and SQL preferredStrong interpersonal and communication skills to effectively collaborate with cross-functional teams.
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Experience with AI programming languages such as Python, TensorFlow, or PyTorch. Strong programming skills in languages such as Python or Java. Strong proficiency in AI and NLP techniques, including deep learning, neural networks, and natural language processing.
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Familiarity with other programming languages such as Python, R, or Java. Knowledge of data extraction tools such as Hive or Hue. 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.
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