The City of Austin D/B/A Austin Energy requires the services of a Data Analyst Sr , hereafter referred to as Worker, who meets the general qualification general qualifications of a Data Scientist Level II and the specifications outlined in this document for Austin Energy.

Experience in some of the machine learning areas: Anomaly detection and signal processing, time-series data analysis and modeling, Conventional Machine Learning methods, Computer Vision, Deep learning, CNNsBachelor of Science in Computer Science, Statistics, Mechanical engineering, or other STEM areas.

Must be currently enrolled in a graduate level program in Computational Biology, Bioinformatics, Statistics, Computer Science or a related field. Support biomarker discovery and signature development projects, applying best practices in data science and machine learning to develop robust classifiers for prognostic, diagnostic, and theragnostic applications.

Experience writing queries via SQL Developer and analyzing data using one of the four PeopleSoft HCM core modules. Preferred Qualifications Graduation from an accredited college or university with a bachelor's degree in Business, Public Administration, Communications, Computer Science, Computer Information Systems, or Management Information Systems.

Experience using Big Data or Cloud integration technologies such as Databricks, Matillion, Azure Data Factory, AWS Glue, AWS Lambda, etc. Expertise and hands-on experience developing and deploying SQL, Python, and Spark-based data pipelines into production environments.

Combining leading-edge climate science with financial risk modeling expertise in the insurance and reinsurance industries, our team predicts financial impacts from climate change for real assets and supports our clients to understand the implications of transition risks and emissions related initiatives on their businesses.

Computational analysis using Snowflake, mySQL, Teradata, Python, Tableau, Business Objects, JMP, R, Matlab, SPSS and working knowledge of SAP/S4 data structures. Ability to translate technical content for non-technical audiences and vice-versa, and excellent verbal and written communication & presentation skills using data visualization applications is desired.

Communicate barriers with the Data Architect, Lead Engineer, Senior Data Integration Engineers, and Manager of Data Engineering & Integration Services. The Data Integration Engineer will follow guidance of the Data Architect, Lead Engineer, and/or Senior Data Integration Engineer when appropriate.

Materials science especially related to coatings, adhesives and bonding processes relevant to optics with fundamental knowledge of optics, photonics, optical engineering/science. JMP and/or JMP scripts (or similar), especially applied to evaluating, comparing and analyzing data to drive next-step decisions for experiments, process or materials improvements, DOEs, etc.

Experience with Data Science and Digital Health (including Real World Evidence/Real World Disease) + Experience and/or proficiency with data analytics and/or data visualization tools (i.e., Tableau, Spotfire, or related.

Relevant professional certifications such as NetApp Certified Data Administrator or AWS Solution Architect etc. You will focus on the implementation, maintenance, data migration, and lifecycles of NAS and object based data storage systems, services and tools in a hybrid cloud infrastructure, to support the storage services which underpin the Arm engineering EDA workflows in our HPC environments and remote offices.

As a secondary requirement, the candidate should be familiar with technical and business metadata management and the related acquisition and administration requirements for Informatica Enterprise Data Catalog (EDC) and Informatica Axon. The ETL Developer's responsibilities may include:•Working with subject matter experts (SMEs) across agencies to collect and update technical and business metadata.

You will have a deep understanding of data engineering, data lifecycle management, and data architecture as well as significant hands-on experience with coding/development environments and modern DevOps practices.

Pursuing a bachelors or associates degree in any areas of Horticulture such as the following: Landscape Architecture, Civil Engineering, Construction Science, Construction Management, Agriculture-Business, Landscape Design or Plant Science.

A typical day in the life of a Database SRE at HRT could look like: Scaling and productionizing classic DBs such as SQL server, mariaDB, and Postgresql Scaling and productionizing data lake technologies like Trino and Kafka Setting up a new system like Pinot, Druid, Dremio Responsibilities: Design, build, and maintain HRT's database infrastructure across multiple database types and use cases, from globally distributed trading infrastructure to large-scale research.