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This role focuses on developing, deploying, and managing scalable machine learning solutions within our tech stack that includes Snowflake, dbt, Python, Kubernetes, and Java. The ideal candidate will have a strong foundation in software engineering and data infrastructure, as well as a proven ability to implement efficient, scalable, and robust decisioning platforms.
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Techniques: Statistical Analysis, Visualization, Optimization, Machine Learning, Big Data, Data Warehouse, NLP. Drive the adoption of data science-driven mechanisms and machine learning models to continuously evaluate and improve catalog data quality.
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As a VP, Principal 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.
$195,100 - $263,900 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Fluency in the languages of data manipulation (e.g., SQL) and statistical analysis (e.g., R or Python/NumPy), with ability to code (e.g., PHP) a plus, Java, Ruby, Clojure, Matlab, Pig or SQL.
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Accredited Artificial Intelligence (AI) / Machine Learning (ML) certifications (e.g., AWS, Google Data Analytics, Microsoft Azure)Ability to interact at all levels of the client organization, build consensus and foster changeAbility to work independently, manage small engagements or parts of larger engagementsExperience with pre-sales, proposals and RFP activitiesSuperior critical thinking, analytical and problem-solving skillsWillingness to mentor and counsel junior staff.
$125,000 - $255,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Excellent written and verbal communication and presentation skills, ability to communicate quantitative concepts to financial professionals Knowledge of prepayment modeling, MBS pricing and risks is a plus Knowledge and experience on data science and Machine Learning technics/languages is desired SEC Covered Clearing Agency Standards Additional Qualifications.
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Experience coding in various programming languages (such as R, Python, SQL, or JAVA) to conduct various phases of data science projects. Experience applying a range of analytic approaches, including (but not limited to) machine learning, text analytics, and natural language processing; graph theory, link analysis and optimization models; complex adaptive systems; and/or deep learning neural networks that are part of the exploration.
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Python strongly preferred, including experience with current machine learning frameworks and tools such as Pandas, NumPy, scikit-learn, TensorFlow, PySpark MLlib. Experience with large-scale data processing tools like Apache Spark and cloud-computing environments like Databricks and Snowflake.
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We work across an incredible range of technology domains: hardware, firmware, web, mobile, backend, data, messaging, content, streaming, and machine learning. Work with Terraform, Amazon Web Services, Golang, Python, Github Actions.
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Required in depth experience with traditional and cloud relational databases such as Microsoft SQL Server, NoSQL databases, and Azure, Microsoft Dynamics CRM and Salesforce Marketing Cloud, Python programming language and libraries (NumPy, SciPy, Pandas and Scikit-learn), supervised and unsupervised machine learning techniques and algorithms, data visualization tools (PyPlot, Tableau), R programming language and R markdown.
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At a technical level, this role will create SQL data models in dbt, perform EDA in pandas, build ML models and libraries in Python, and visualize success metrics in Tableau, all in about equal proportion.
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Our Industries Sales Engineering organization is seeking a Principal Architect, Machine Learning, Industries Field CTO focused on Machine Learning and Artificial Intelligence to join our team who can provide leadership in working with both technical and business executives in the design and architecture of the Snowflake Cloud Data Platform as a critical component of their enterprise data architecture and overall machine learning ecosystem.
$176,000 - $252,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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SQL, SAS, Tableau, Power BI, R, MATLAB, Machine Learning, JAVA, Python, MySQL, advanced database and cybersecurity, CISCO, C#, C, R, C. Trine University is currently seeking Adjunct Professors to teach their Information System and Data Science classes part time in Phoenix Arizona or Detroit Michigan.
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For data extraction from Hadoop and data warehouse environments; performing data analysis, modeling, and reporting, using Python, R, Qlik Sense, Tableau, and Clarabridge; and creating canned and ad-hoc reports, dashboards, analytical, and visualization solutions using visualization tools.
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Exceptional programming skills in Python, with popular deep learning and natural language processing (NLP) tools and libraries, including Scikit-learn, Pandas, PyTorch, TensorFlow, or other leading deep learning frameworks, NLTK and spaCy for natural language processing tasks.
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