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We are looking for an experienced Data Lead for a long-term contract to oversee a highly skilled technical team comprising a Data Analyst/Data Modeler, BI Dashboard/Report Developer, and Data Warehouse Administrator/Database Administrator.
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Requirements: Requires a Bachelor’s degree, or foreign equivalent, in Statistics, Business Analysis, Administration (any) or related field and 5 years of progressively responsible, post-baccalaureate experience as a, Data Science Lead Analyst, Data Science Senior Analyst, Compliance AML Core Senior Analyst, Compliance AML Risk Management Senior Analyst, or related position using AML and KYC to develop customer risk scoring models for the banking industry.
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Lead efforts to gather/define requirements to develop prevention and detection capabilities that support ADP's data security policies, assess, and evaluate data security control effectiveness, enable comprehensive orchestration and automation to provide improved metrics and operational support, and identify and implement new security technologies and best practices into the company’s critical applications.
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The Senior Lead Data will be responsible for partnering with Technology, Machine Learning, Product Architecture, and other Capital One teams to support the development of the Finance Tech Data Strategy into products and services we create and consume.
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As a Senior Lead Engineer in Finance tech you will be responsible for working collaboratively across Finance, Capital One Lines of Business and Enterprise Functions to develop patterns, playbooks and tools to support standards, create and review target data models in support of Finance and Enterprise goals.
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As a Capital One Senior Lead Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. West Creek 3 (12073), United States of America, Richmond, VirginiaSenior Lead Data Engineer.
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Utilize programming languages like SQL, Python and tools like databricks, iceberg, presto, graphql and Cloud based data technologies. Understand how ontology and data models fits into the larger ecosystem, anticipating impacts from changes in other parts of the business.
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ADP is hiring a Lead Analytical Data Engineer for our newly formed HR Outsourcing (HRO) Data and Analytics organization. Data Engineering Expertise: Lead and create the development of data tables tailored to specific use-cases by skillfully engineering critical elements from multiple data domains.
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We are looking for a Lead Data Scientist to connect and organize our data across the company to drive visibility into performance and strategy across our sales, marketing, product, operations, finance, and engineering efforts.
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West Creek 3 (12073), United States of America, Richmond, VirginiaSenior Lead Data EngineerDo you love building and pioneering in the technology space? Work closely with tech leadership and architecture to understand the tradeoffs of technical decisions and how they impact Ontology and Data modeling as well as consumers.
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Lead Data Scientist. Experience of data dashboard or programmatic data visualization using Tableau, Qlik, Power BI, Python, D3. Strong hands-on experience in the Bash scripting and Python toolkit for data manipulation and machine learning (e.g., NumPy, Scikit-learn, TensorFlow, PyTorch.
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We are currently recruiting for a Lead Data Scientist - Digital & Data Science Group - Global Site & Services & Supply Chain Services (GSSCS) located in listed locations of US and Europe.
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As the Lead Data Scientist in the Global Site & Services & Supply Chain Services, you will work closely with all segments and functions to create an aligned digital product and technology strategy which anchors product-led transformation and integrated digital stack for better leverage, reusability, modularity and cost effectiveness.
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PhD or MS degree in Computer Science, Data Science, Statistics, Applied Mathematics, or any other related quantitative fields from an accredited college or university. Lead in test & learn and scaling new technologies in Deep and Classical Machine Learning (ML) and MLOps area with new digital product concept and technology feasibilities.
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Center 3 (19075), United States of America, McLean, VirginiaSenior Lead Data Engineer. Utilize programming languages like Scala, Java, Python, SQL and GO and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake.
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Title: data lead Company: Global Fund For Women
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