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RWE Clean Energy, LLCFunctional area: Project Management Remuneration: ExemptThe Senior Manager, Asset Optimization (Fleet Analysis) will identify, conduct assessments, and perform priority ranking of assets for improvement and optimization opportunities using data analysis skills and tools.
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As a Senior Data Engineer on the MMA National IT Data and Analytics Team, we will count on you to develop and maintain scalable data pipelines, enhance data models, and provide subject matter expertise in data acquisition and consumption pipelines on Azure, Databricks and Confluent.
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Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch)Primary Location.
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Hands-on development experience with Relational DBs (MS SQL Server, PostgreSQL, Oracle), as well as complex stored procedures and functions using SQL and optimization of SSIS packages and Redshift database queries.
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Architecture and Design: Architect robust and scalable data pipelines and analytics solutions on Azure Databricks, leveraging services such as Apache Spark, Delta Lake, and MLflow. As the Azure Databricks Tech Lead, you will play a pivotal role in architecting, implementing, and optimizing Azure Databricks solutions to support our data engineering and analytics initiatives.
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Design and build infrastructure for optimal extraction, transformation and loading of data from various data sources (e.g., AWS tooling, Databricks, DBT, Snowflake, Temporal, and SQL technologies.
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Experience with data analytics tools: Power BI, Tableau, etc. Join our DISH Wireless 5G RF National team as a Staff RF Optimization Engineer, serving as the optimization expert to support field-based engineers in our 5G deployment.
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Statistics, probability based calculations, and stochastic calculus; Data analysis, times series analysis and machine learning skills; Fixed income market data and fixed income financial product knowledge; Investment and quantitative methods; Risk management, portfolio optimization and strategy research.
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Minimum of five (5) years of recent, full-time paid experience as a Data Scientist carrying out complex data science projects that included independently developing and applying methods to identify, collect, process, structure, and analyze data using statistical prediction, inference, and optimization to support data-driven program design and management.
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This individual will work in the Strategic Analytic Team (SAT) under the FIU. The Strategic Analytics Team regularly takes on high profile projects related to risk identification, process automation and optimization, data exploration, regulator requests, and efficiency improvement opportunities across EFCC. In addition, the SAT executes ongoing data enrichment and metrics reporting to support our EFCC partners’ daily operations.
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AWS: EC2, Lambda, Batch, SageMaker, Redshift, Athena, Data wrangler, boto3, SQS, SNS, IAM, etc. Last Mile Science team owns the core decision models in the space of jurisdiction planning, delivery channel and modes network design, capacity planning for on the road and at delivery stations, routing inputs estimation and optimization.
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As a cornerstone of this initiative, the Director of Workplace Strategy is tasked with leading the charge in real estate services, focusing on office occupancy strategies, space management, and optimization.
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Knowledge of controlled terminology, clinical workflows, user interface optimization, clinical decision support, rules development, data integration and mining, clinical ontologies and adoption of technology.
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Required Skills: MS SQL Server MariaDB SolarWinds DPA Index Tuning E-R Diagramming Data Normalization Backup and Restore Clustered Databases Query Optimization MongoDB PostgreSQL Database Tools: SQL Server Management Studio, Azure Data Studio, SQL Profiler, SQL Prompt.
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Strong digital marketing analytics skills, such as but not limited to web analytics, contextual advertising, email, AI/ML, surveys, big data, data-driven decision making, customer data management, search engine optimization (SEO), search engine marketing (SEM.
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