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Fall 2024 Graduate Data Analyst Engineering Co-Op/Intern LOCATIONS: Austin, Folsom. KEY QUALIFICATIONS: Python, SQL Data processing, ML experience Data Warehouse knowledge ETL pipeline knowledge Data Engineering Data Science Data Analytics, Data Mining PLEASE HAVE KNOWLEDGE OF ONE OR MORE OF THE FOLLOWING TECHNICAL SKILLS: Kubernetes, Tableau, PowerBi MongoDB Microsoft Cloud Services like Azure and AKS Snowflake SQL Server data platform Software development (including design, implementation, testing, and change management.
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Excellent data entry skills. PharMerica is the long-term care pharmacy services provider of choice for senior living communities, skilled nursing facilities, public health organizations and post-acute care organizations.
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Experience driving security, compliance, and disaster recovery in all aspects of a data platform Deep Experience with the following: Public cloud-native offerings (AWS, GCP, Azure) Kubernetes & Container-based hosting strategies SQL and NoSQL databases (Postgres, Cassandra, MongoDB, Neo4j, DynamoDB, etc.
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We're looking for a passionate Principal Data Scientist with hands-on predictive modeling experiences and in-depth knowledge of consumer lending products. If you are a creative and critical thinker, storyteller, learner, and innovator and want to work in an environment focused on using data science and big data tech, keep reading.
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It is one of the core roles within the newly created Forensic Data Analytics Team within the Global Investigations and Digital Forensics Team. This Data Scientist will be part of a multi-disciplinary team that works collaboratively within Legal and jointly with the Information Security, Business Units, and Corporate Services teams to conduct a wide range of business intelligence and investigation support functions.
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Conduct quantitative and qualitative model validation in line with internal Model Risk Management Policy and industry standard to identify and report issues arising from model data, model design and model use, provide subject-matter expert opinion on model enhancement.
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Proficiency in at-least one of the following programming languages - Python, Scala or Java. Experience in multi-threaded, concurrent programming and synchronization Cloud technology experience on platforms like AWS, Microsoft Azure, Google Cloud Experience developing Big Data applications using java, Spark, Kafka is a huge plus.
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Are well-versed in various data storage technologies, including distributed file systems(e.g., HDFS, S3), databases (e.g., Cassandra, HBase), and data warehouses (e.g.,Redshift, BigQuery.
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Experience: Eight years of full-time experience working in the following (or closely related) fields: data privacy; consumer protection; privacy compliance; commercial litigation; experience overseeing investigations or litigation; experience implementing or developing privacy and data security programs; experience mentoring less experienced attorneys.
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Strong fluency in Python and SQL, experience with Tensorflow, PyTorch, Airflow and data warehouse. We need a strong data scientist leader to manage our ML & data science research & development and evolve the services that make up the backbone of Xometry's business.
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This is an amazing opportunity for a Senior Data Scientist to join a leading global optimizer of battery storage and renewable energy assets. You have at least 3 years of commercial experience developing and productionizing real-time projects in Machine Learning and Data Science.
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Qualifications Bachelor’s or Master's degree in Computer Science, Statistics, Data Science, Artificial Intelligence, or a related field. Enterprise Cognitive Digital Assistant Services, and AI Service Desk. As an Enterprise ML Developer, we seek an expert in machine learning to help us extract value from our data.
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Proficient in data visualization and self-serve BI tools such as Tableau, Tellius, or Power BI. Advanced technical proficiency in data analysis tools such as SQL, Python, Alteryx, and Excel.
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Any experience in geomatics, 3D imaging, laser scanning, data collection or modeling a plus. Travel to project sites across the United States to capture the required field data using the latest 3D reality capture hardware, including both Mobile and Terrestrial LiDAR as well as drone-based solutions, all in the pursuit of providing the most sophisticated and comprehensive reality capture services to our clients.
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Identify opportunities to leverage technology to improve ability to compile, analyze, and report item creation and data (e.g. smartsheet, access, excel, JDE, Cantor, AQ, etc.) Implement data governance processes for item master data maintenance.
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data job Title: data analyst Company: Aya Corporate in Austin, TX
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