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Job Description: Req ID:
12464-1
Title:
Data Scientist
Job Family:
D&T
Background Package:
Standard
Bill Rate:
Hours:
M-F 8am - 5pm No OT
Remote/Hybrid/In-Person:
Hybrid - In person Tues/Thurs
Location:
1000-Richardson-1680 N. Glenville Dr, TX
Assignment Duration:
10/31/2025 with possibility to extend
Potential to convert to FTE, If so, what rate:
potential
Resource's typical working day:
70% Project based
30% Ad hoc Tasks
Years of Experience needed:
2 - 3 years specific experience
Level of Education:
Bachelor's degree required
Systems/Software proficiencies:
Python, R, SQl, LangChain
Certifications/Licenses:
n/a
Top Must have Skills:
Generative AI experience
LLM experience
Top Nice to have Skills:
Azure
Interview Process:
1st round virtual (20-30 mins)
2nd round in-person, Technical Interview, candidate will be expected to speak to their specific experience (75 mins)
EXPERIENCE & EDUCATION
• Must have anywhere between 2-3 years of impactful experience in creating Data-driven products and productionizing ML models, while being mindful of Data pipelines. Recent graduates can also be considered provided them demonstrate a strong understanding of Learning Algorithms and Models
• Bachelor's degree (BA/BS) in disciplines such as Mathematics (Pure/ Applied), Statistics, Computer Science/ Engineering, Information Systems or any other Scientific discipline - along with relevant experience. Or a Masters/ PhD with lesser, but applicable, experience is ideal
TECHNICAL & OTHER SKILLS
• Dependable hands-on skills in sourcing, cleaning, manipulating and analyzing large volumes of data optimally
• Must have an intuitive understanding of algorithms underpinning various statistical and machine learning models from regression, classification, clustering to optimization and decision theory
• Demonstrable experience in Supervised and Unsupervised learning - from Regression, Forecasting, Classification, to NLP, Decision and Search Algorithms
• . Experience with agentic frameworks like LangChain and Semantic Kernel will be a great plus
Comments for Suppliers:
Date Posted: 04 April 2025
Job Expired - Click here to search for similar jobs