Gen AI Engineer

Job #: 1930
Pay Rate: Not Specified
Job type: contractor
Location: Irving, TX

Required Skills: SQL Scripting, Data Science, Statistics, Product & Data Analytics

Job Summary:
We are seeking a highly skilled and experienced Gen AI Engineer with 10 to 12 years of experience in SQL Scripting, Statistics, Product and Data Analytics, and Data Science. The ideal candidate will play a crucial role in designing and implementing data-driven solutions that align with our company's strategic goals. This position offers an opportunity to make a significant impact on our data architecture and analytics capabilities.

Responsibilities:

1. Lead the design and implementation of scalable data architectures that support business objectives.
2. Oversee the development and maintenance of SQL scripts to ensure data integrity and performance.
3. Provide expertise in statistical analysis to derive actionable insights from complex datasets.
4. Collaborate with cross-functional teams to develop and deploy product analytics solutions.
5. Utilize data science techniques to build predictive models that drive business decisions.
6. Ensure data quality and consistency across various data sources and platforms.
7. Develop and enforce data governance policies to maintain data security and compliance.
8. Mentor and guide junior team members in best practices for data analytics and architecture.
9. Conduct regular reviews of data systems to identify areas for improvement and optimization.
10. Work closely with stakeholders to understand their data needs and translate them into technical requirements.
11. Implement data visualization tools to present insights in an easily understandable format.
12. Stay updated with the latest trends and technologies in data science and analytics.
13. Drive continuous improvement in data processes and methodologies to enhance efficiency and effectiveness.

1. Possess a strong background in SQL Scripting with extensive hands-on experience.
2. Demonstrate expertise in statistical analysis and its application in real-world scenarios.
3. Have a proven track record in product and data analytics, with the ability to translate data into actionable insights.
4. Show proficiency in data science techniques, including predictive modeling and machine learning.
5. Exhibit excellent problem-solving skills and the ability to think critically about data challenges.
6. Display strong communication skills to effectively collaborate with cross-functional teams.
7. Hold a relevant degree in Computer Science, Statistics, Data Science, or a related field.