Data Scientist
1 month ago
TOP SKILLS:
1. Must have PhD in Computer Science, Math or other relevant fields
- 3-4 years of professional experience post PhD (research experience does not count)
Someone with experience in ML and new ML approaches (signal processing and signal detection would be helpful) Experience putting models into production & maintaining, improving and monitoring models Full life-cycle necessary but MLOps and deployment is handled by engineering2. Tech Stack Needed:
- AWS - core AWS services are ideal - most work will be in Sagemaker or Domino
- Must have experience with time series data - all data you work with in this role will be time series
- Signal processing with time series data
- Using Python to create training pipelines and models - writing code for engineers to put into production (not coding applications)
- Distributed computing capabilities (Spark)
3. Ability to speak to business and manage expectations, ability to translate business language to mathematical language
Nice to have skills:
- Not necessary to have experience in securities industry or finance (but would be preferred)
- They have an engineering team they work closely with but are working on communication between DS and Engineering; because of this, an engineering background of some sort would be helpful
About TEKsystems:
We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.
The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
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