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Prior experience in Analytics, Big Data, Cloud, Digital Asset Management, Master Data Management and Data Warehousing as it related to Health Plans; Provide solution designs in the area of Analytics, Big Data, Cloud, Digital Asset Management, Master Data Management and Data Warehousing.
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Ensure high operational efficiency and quality of the Data Capture platform datasets to ensure our solutions meet SLAs and project reliability and accuracy to all our stakeholders (Engineering, Data Science, Operations, and Analytics teams.
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Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Redshift, Big Query) Expanding, scaling, and standardizing the core foundational principles through consistent observability, lineage, data quality, logging, and alerting across all engineering teams in the Data organization is imperative to the creation of a single pane of glass.
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Architect, design, and code shared libraries in Scala and Python that abstract complex business logic to allow consistent functionality across the Data organization. Maintain detailed documentation of your work and changes to support data quality and data governance requirements.
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The Data Capture team for the Data organization within the DE&ET organization is in search of a Lead Software Engineer. 2+ years of data engineering experience developing large data pipelines.
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Cellular 4G/5G Firmware Data Science & Machine Learning Engineer Do you have a passion for invention and self-challenge? Data Science & Machine Learning Engineer will be responsible for developing state-of-the-art data processing pipeline based on machine learning models and leveraging data science algorithms to parse substantial data and logs in a timely manner to automatically tackle the issues or provide recommendations for the next step of solving problems.
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Data Science Management, Director Data Science, Director of Data Science, Director of Engineering, Senior Director of Data Science, Senior Director Engineering, Manager Data Science, Manager Engineering, Artificial Intelligence Management.
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Advanced degree (PhD or MS) in Computer Science, AI, Machine Learning, or a related field. Build AI Solutions: Lead a team of data scientists working with machine learning engineers to build AI solutions leveraging traditional machine learning models as well as modern Generative AI and LLMs. These solutions will be both internal employee-facing and external customer-facing.
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Be part of a group of engineers building data pipelines using big data technologies (Spark, Flink, Kafka, Snowflake, AWS Big Data Services, Snowflake, Redshift) on medium to large scale datasets.
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Experience with Big Data solutions such as Delta Lake by Databricks and SQL DBMSs. Experience with Microsoft Azure platform technologies like Databricks applications, Event Hub, Data Factory, Azure SQL, Synapse Analytics, Delta.
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Analyze and design data models, data ingestion algorithms and performing data mining to identify patterns for fraud investigation, surveillance, and compliance on structured data sources, including Oracle and Big data solutions.
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It will work on data science projects that drive product personalization, marketing effectiveness, channel optimization, better customer experience, and operational efficiency. You thrive in a dynamic environment and are able to interact with various partners and multi-functional teams to implement data science driven business solutions.
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Bachelor’s Degree from ABET (Accreditation Board for Engineering and Technology) in Engineering, Physics, Materials Science, or (STEM) Science, Technology, Engineering, or Mathematics. Collaborate with process engineers and modeling engineers to model improved materials and provide data for model validation.
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We want Data Science, Machine Learning, Data Analyst, and Java Full Stack candidates. Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools.
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Experience in developing data pipelines using Apache Spark (Big Data Processing). Responsible for developing data pipelines using Apache Spark (Big Data Processing.
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big data science jobs Title: developer data scientist
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