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The ideal candidate will have a strong background in AWS, Redshift, Snowflake, dbt, Python, building ETL pipelines, and Machine Learning. 5+ years of experience in data engineering, with a strong focus on AWS, Redshift, and Snowflake.
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The Data Science team is hiring an experienced Machine Learning Engineer with a background building machine learning and statistical modeling frameworks from scratch. Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products.
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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.
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In this role as Lead Data Scientist, your responsibilities will include developing advanced data science solutions, leveraging machine learning and artificial intelligence, to drive enterprise-wide innovation across various business lines and Guardian products.
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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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Experience working for Top 10 Accounting or other Systems Integrator Services firms (Cognizant, TCS, Infosys, Capgemini, etc ) with a focus on Data, finance, ERP and/or digital solutions a significant plus.
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Familiarity with financial products and relevant data is a plus. Familiarity with Databricks and/or Snowflake is a plus. Credit risk/counterparty risk domain knowledge/experience in financial institutions is a plus.
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Familiarity with Agile Scrum principles and ceremoniesPreferred Qualifications 2+ years of work experience implementing and reporting on business key performance indicators in data warehousing environments, exposure to reliability engineering best practices a plus.
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As a part of this client-centric team, which is focused on Cartier employee development throughout the talent lifecycle, you will work cross-functionally with various levels of leadership, as well as a variety of subject matter experts within the organization, to identify learning needs, then implement solutions.
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Professional Land Surveyor (PLS) licence is a plus. Lead the processing and analysis of laser scanning data, ensuring accuracy and completeness of results. We are actively seeking a Land Surveying Project Manager to lead and manage land surveying projects for a diverse range of clients, with the support of a dedicated team of professionals.
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Amazon Seller Central, Vendor Central, or other eCommerce platform experience a plus. Familiarity with the nutritional supplements and beauty products space is a plus. NetSuite/ERP/EDI system experience a plus.
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Experience using the Python data science/ML stack in a collaborative development environment using version control tools (git). Academic training in a quantitative field such as Computer Science, Data Science, Mathematics, Statistics, Bioscience, or Engineering.
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Galaxy is a digital asset and blockchain leader helping institutions, startups, and individuals access and navigate the crypto economy. Our offerings include, amongst others, trading, lending, strategic advisory services, institutional-grade investment solutions across passive, active and venture strategies, proprietary bitcoin mining and hosting services, network validator services, and the development of enterprise custodial technology.
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You must be passionate about data management with a solid background in AWS, Databricks, Python, Trino/Starburst, Databases and SQL.Design, develop, monitor, and maintain data pipelines in an AWS Gov Cloud ecosystem with AWS, Databricks, Delta Lake and Trino as the underlying platforms.
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Experience in maintaining and developing software in production utilizing cloud-based tooling (GCP, Docker & Kubernetes, Okta)Experience in BigQuery, Snowflake, Databricks will be a big plus.
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learning data mining a plus jobs Company: Servicenow in New York, NY
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