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You contribute to our success let us contribute to yours Whether you choose to focus on bedside care, a leadership or C-suite role, shape business and operational outcomes, or work to deliver clinical excellence behind the scenes in data science, case management or transfer centers.
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Background in product management, sales engineering, customer success, implementation, software engineering, or data science is a plus. Independently gather, analyze, and synthesize data to define buyer segments and business value delivered.
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You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Role DescriptionIn Consumer Identity ML, you will work at all phases of the data science life cycle, including:Build machine learning models through all phases of development, from design through training, evaluation and validation, and partner with engineering teams to improve operationalization in scalable and resilient production systems that serve 50+ million customers.
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You will be part of the data science function for Marcus that caters to end to end Customer life cycle. You will be part of the data science function for Marcus cards business and the Marcus App that caters to end to end customer life cycle.
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The Senior Data Scientist will have demonstrated his/her technical skills to lead the design and deployment of data science solutions that balance SOTA with team productivity, model reproducibility as well as support experimentation at scale, with a positive-focused, yet relentless goal for continuous improvement.
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This role will be responsible for architecting, designing, and implementing Advanced Analytics capabilities within the Enterprise Data Warehouse (EDW) platform on Teradata, Azure Data Lake, Databricks, and other related ETL technologies.
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Experience designing, building, or operationalizing large scale data applications using AWS services (Spark, EMR, RedShift, Kinesis, Firehose, Athena, Lambda, Glue) in combination with other platformsWorking experience and excellent understanding of AWS servicesExperience implementing role-based security/management, AD integration, IAM security policies, and auditing in a Linux/Hadoop/AWS environment.
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X or greater Banking domain Pega experience (especially in compliance and risk) Strong understanding of key business elements Prior framework implementation experience Strong Data analysis skills Graduate / Undergraduate studies in computer science is a plus.
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Work closely with the Cyber Risk & Operations Management (CROM) team as well as closely partnering with all cybersecurity teams by assisting in the requirements gathering, analysis, design, and implementation of business processes and data migration into the GRC platform.
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Advanced degree in an analytical field (e.g., Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis, Operations Research). Use large scale data processing frameworks such as Spark, AWS EMR for feature engineering and be proficient across various data both structured and un-structured.
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PhD Degree in Mathematics, Statistics, Economics, Computer Science, Finance, or other quantitative fields with minimum 1 year experience in statistical modeling or data analytics. Master's degree in Mathematics, Statistics, Economics, Computer Science, Finance, or other quantitative fields with minimum 5 years' experience in statistical or data analytics including minimum 1 year experience with risk management or pricing/optimization experience.
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Bachelor’s degree in relevant quantitative discipline with a focus on data engineering, data warehousing, computer science and/or data-driven analytics. (For internal candidates) - Working knowledge of internal data platforms (ICDW, Cloud sources) and/or applications (Customer Assist, First Assist, IDMS, Quest.
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Be hands on with code (Python, SQL) on cloud based ML technologies (Databricks, Snowflake) to explore data, design features, and build models. You Have: Master s degree in a field such as Statistics, Applied Mathematics, Physics, Engineering, Computer Science, or Economics, or equivalent experience.
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Able to establish trust and confidence as the data science team lead, up, across and down the organization as needed. We are currently looking for a Senior Data Scientist to join our Data & Analytics practice in Plano, TX.
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With capabilities spanning technology, data science, supply chain management, fulfillment, customer service, and more, we help brands launch, scale and grow-across product categories and geographically.
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data science jobs in Richardson, TX
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