Today
Public Trust
Unspecified
Unspecified
IT - Data Science
Irving, TX (On-Site/Office)
Description:
**Hybrid | Irving, TX**
You'll be joining a multidisciplinary team of scientists, researchers and engineers who research and innovate on latest technology to create awesome data and AI products that millions of people will experience every day.
Due to client requirement, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.
Rate: $70 - $80 / hr. w2
Responsibilities:
Experience Requirements:
Education Requirements:
**Hybrid | Irving, TX**
You'll be joining a multidisciplinary team of scientists, researchers and engineers who research and innovate on latest technology to create awesome data and AI products that millions of people will experience every day.
Due to client requirement, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.
Rate: $70 - $80 / hr. w2
Responsibilities:
- Research, prototype, and develop AI/ML solutions to build personalized systems.
- Build, deploy and analyze AI/ML solutions and perform statistical experiments when deploying new AI products.
- Analyze and segment customer data and clearly visualize customer behavior to make product decisions.
- Stay up to date with emerging technology and learn new technologies/libraries/frameworks.
- Learn and partner with peers across multiple disciplines, such as data, product, and systems design.
- Deliver on time with a high bar on quality of research, innovation and engineering.
Experience Requirements:
- 4+ years of experience with statistical data science techniques, feature engineering, customer segmentation etc.
- 4+ years of experience with SQL, PySpark and Python.
- 4+ years of experience training, evaluating and deploying Machine Learning models.
- 4+ years of experience with productionizing and deploying ML workloads in AWS/Azure.
- 1+ years leading and mentoring Data Scientists and delegating tasks to deliver complex tasks.
- Familiarity with containerized application tooling and deployments (Docker/Kubernetes).
Education Requirements:
- Bachelor's Degree or higher in Computer Science/Engineering/Math, or relevant experience.
group id: 10106647