Gen AI Data Architect & Analytics Lead

TechDigital Group; Washington (District of Columbia); On-site; USD 90,000 - 150,000; Full time

Job summary

An established industry player is on the lookout for a Gen AI Engineer to drive data-driven solutions. With a focus on SQL Scripting, Data Science, and Product Analytics, this role is pivotal in shaping the data architecture and analytics capabilities of the organization. The ideal candidate will have extensive experience in statistical analysis and a proven ability to derive actionable insights from complex datasets. This position not only offers the chance to work on impactful projects but also to mentor junior team members and collaborate with cross-functional teams to enhance data processes. Join a forward-thinking company where your expertise can lead to significant advancements in data governance and analytics.

Qualifications

• 10-12 years experience in SQL Scripting and Data Science.
• Expertise in statistical analysis and product analytics.

Responsibilities

• Design and implement scalable data architectures.
• Oversee SQL script development for data integrity.
• Utilize data science techniques for predictive modeling.

Skills

SQL Scripting

Data Science

Statistics

Product & Data Analytics

Education

Degree in Computer Science

Degree in Statistics

Degree in Data Science

Job description

An established industry player is on the lookout for a Gen AI Engineer to drive data-driven solutions. With a focus on SQL Scripting, Data Science, and Product Analytics, this role is pivotal in shaping the data architecture and analytics capabilities of the organization. The ideal candidate will have extensive experience in statistical analysis and a proven ability to derive actionable insights from complex datasets. This position not only offers the chance to work on impactful projects but also to mentor junior team members and collaborate with cross-functional teams to enhance data processes. Join a forward-thinking company where your expertise can lead to significant advancements in data governance and analytics.