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Title: Data Scientist
Location: Austin, TX
Duration: 2 Months
Client: State of TX Office of the Attorney General of Texas
Work Mode: Telework
Description:
The Office of the Attorney General s Chief Data Office (CDO) is seeking a dynamic and visionary Data Scientist to join our team and support our System Modernization efforts for the Child Support Division. This individual must be able to work in a heavily technical environment, preparing and optimizing data for Snowflake and utilizing SAS Viya to build comprehensive federal and state reports. You will play a pivotal role in transforming, analyzing, and leveraging our data assets to drive strategic initiatives and business outcomes. You must be comfortable analyzing data, developing predictive modeling algorithms, and can communicate your findings through visualizations enabling the discovery of solutions to business problems. As a Data Scientist your role will be impactful, visible, and rewarding.
Responsibilities:
The above job description and requirements are general in nature and may be subject to change based on the specific needs and requirements of the organization and project.
Minimum Requirements: | ||
Years | Required/Preferred | Experience |
4 | Required | Proven experience in data conversion and report building using Snowflake and SAS Viya. |
4 | Required | Demonstrated experience in data transformation processes using ETL, SQL, Python, and R. |
4 | Required | Experience working with data analytics and business intelligence tools. |
4 | Required | Experience working in a Scrum or Agile development environment. |
4 | Required | Proficiency in ETL processes and tools such as AWS Glue and Lambda. |
4 | Required | Strong knowledge of database management and data warehousing concepts. |
4 | Required | Expertise in SQL for data querying and manipulation. |
4 | Required | Proven experience in data conversion and report building using Snowflake and SAS Viya. |
4 | Required | Demonstrated experience in data transformation processes using ETL, SQL, Python, and R. |
4 | Required | Experience working with data analytics and business intelligence tools. |
4 | Required | Experience working in a Scrum or Agile development environment. |
4 | Required | Proficiency in ETL processes and tools such as AWS Glue and Lambda. |
Full Time
$108k-133k (estimate)
06/14/2024
06/30/2024
redsalsa.com
Dallas, TX
200 - 500
The following is the career advancement route for Data Scientist positions, which can be used as a reference in future career path planning. As a Data Scientist, it can be promoted into senior positions as a Data Scientist IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Scientist. You can explore the career advancement for a Data Scientist below and select your interested title to get hiring information.
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Quotes from people on Data Scientist job description and responsibilities
Data scientists work closely with business stakeholders to understand their goals and determine how data can be used to achieve those goals.
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Data scientists are meant to use their technology and social science skills to develop different trends and manage data wisely.
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A data scientist develops software to structure the raw data.
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Data scientist will need to meet with their business stakeholders early and often to ensure that they are on the same page about the goals and deliverables of the project.
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Data scientists may spend some of their time working on ad hoc data requests, but these types of requests should only take up a small portion of their time.
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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.
Career tips from people on Data Scientist jobs
Analyzing data from multiple angles and searching for trends that could reveal problems or opportunities.
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Data scientists lay a solid foundation to help perform all kinds of analysis.
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Data scientists are also expected to have stronger software engineering skills that data analysts.
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Business analysts are focused on reporting, just like data analysts.
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A data scientist should understand the assumptions that need to be met for each statistical test.
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Step 3: View the best colleges and universities for Data Scientist.