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Analytics Expertise: Serve as a subject matter expert across our solutions offerings such as database marketing, marketing campaign reporting, investigative descriptive analytics, and propensity modeling while leading and individually contributing to analysis tasks including Excel, R, SQL, Python, and SAS.
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Strong programming skills in Python, R, SQL, and React. Utilize programming languages such as Python, R, and SQL to develop and deploy NLP and AI models. As a Data Analytics Engineer, you will be responsible for designing, developing, and implementing natural language processing (NLP) and AI-based solutions to enhance our products and services.
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The Risk Data Science team is looking for a Data Scientist to develop advanced machine learning models, guide measurement, strategy, and data-driven decision making to support various risk and operational areas at SoFi. The Data Scientist will work closely with Risk, Product, Engineering, and Operations teams to design solutions for loss mitigation.
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Data analysis, modeling, and visualization using R, Python, or similar software. This position will primarily support the Physical Metallurgy branch at the Naval Surface Warfare Center, Carderock Division and concentrate on investigations of Naval structural alloy systems, such as high-strength steel, aluminum, nickel aluminum bronze, and/or titanium alloys.
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Proven e xperience in Python, Spark, Scala, or R, using open-source frameworks (for example, scikit learn, TensorFlow , Pytorch) Proven e xperience in Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics.
$110,000 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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NGEN-R SMIT is the largest IT services program for the Navy, by delivering the OCONUS Enterprise Network (ONE-Net); inclusive of cybersecurity services, network operations, service desk, and data transport.
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Proficiency in data integration through use of analytical tools such as GIS, Matlab, Python, R, etc., preferred. Experience with applied approaches for data and statistical analyses, modeling and/or product development of coastal dynamics and/or systems.
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Python, R programming with API integration is desired. The individual will be responsible for implementing data pipelines, via a variety of tools including AWS Glue, Azure Data Factory, SQL and/or Python scripts, in the cloud to an existing data lake and data warehouse.
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Experience in programming languages (e.g. Python, R, Scala, or Java). Provide technical expertise and guidance in AI/ML algorithms, data modeling, data engineering, and data governance and support the deployment across various domains (e.g., natural language processing, computer vision, predictive analytics.
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Proficiency with query languages such as Python, R, SQL, or SAS, mechanics, implementation, and impact modeling- Preferred. Exceptionally strong analytical abilities, with track record of identifying insights from quantitative and qualitative data- Required.
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The Data Engineer and System Administrator will have primary responsibility for supporting, maintaining, administering, and upgrading the database appliances, analytical servers and storage, and analytical software Cornerstone Research uses for client work including Red Hat Enterprise Linux, Ubuntu, AIX, Netezza, R, RStudio, SAS, Stata, MATLAB, IBM Spectrum Scale, and IBM Spectrum Protect.
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E Good in Python Microservices development using Django and Flask. Min. 6+ years of IT experience in Python Webservice development (Django or Flask) Primary skills Python, AWS (S3 , Lambda, IAM, SG.
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The Defense Group of Leidos has an exciting opportunity for a Senior Systems Administrator to support efforts for the OCONUS Enterprise Network (ONE-Net) portion of the NGEN-R Service Management, Integration, and Transport (SMIT) contract located in Guam.
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Programming languages may include-but are not limited to-SAS, Python, R, SQL, Java, or MATLAB. Proficiency in programming languages such as SAS, Python, SQL or Unix. Coursework or work experience applying predictive modeling techniques from finance, statistics, mathematics, data science, or computer programming to large data sets.
$118,000 - $178,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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8+ years’ experience and skill writing coding languages (such as SQL, Python, R, SAS, and Java Scripts) Strong experience in data extract transform load (ETL) processes using Azure services, such as Azure Data Factory, Azure Databricks, Azure Data Lake Storage, Azure SQL Database, or Azure Synapse Analytics.
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