Sr Data Scientist Engineer
Listed on 2026-01-13
-
IT/Tech
Data Scientist, Machine Learning/ ML Engineer, Data Engineer, Data Analyst
About the job Sr Data Scientist Engineer
VERY URGENT AND IMMEDIATE NEED.
Note:
Need Only US Citizen, Green Card, EAD-GC, J2 EAD, H4 EAD, L2 EAD, and TN Visa.
Job Title:
Sr Data Scientist Engineer
Location:
Irving(TX) , Alpharetta(GA), Basking Ridge (NJ), Irvine (CA)
Hybrid
Note:
Need Only Local
Duration:
Long Term Contract
Need Telecom Background working Experience
Required Skills:
Data Science
AI
Big Data/ Hadoop
Python
Cloud- AWS/GCP
Job Description:
Need minimum 08+ years of experience
What were looking for... You are an accomplished Data Scientist
, a recognized Machine Learning expert
, and a thought leader in AI Technology and business innovation.
You are a master at analyzing big data.
Required: Formal education:
Bachelors degree with six or more years of relevant work experience as a Data Scientist practicing model development for business applications;
Or a Master's Degree in Computer Science, Statistics, Math, Economics, Engineering, or Data Science related fields with four or more years of relevant experience as a data scientist or machine learning engineer.
Hands‑on experience in building machine learning and statistical models using Python, PySpark, Machine Learning libraries, SQL.
Experience in computing/programming skills; proficiency in Python, R, and Linux shell script.
Experience in data management and data analysis in a relational database, Hadoop and Spark.
Experience with
Cloud computing platform such as GCP or AWS Strong communication and interpersonal influencing skills.
Excellent problem solving and critical thinking capabilities.
Desired: A Ph.D. in Computer Science, Statistics, Math, Economics, Engineering, or Data Science, with two or more years of experience in practicing machine learning and data science in business.
Expertise in deep learning, NLP
, reinforcement learning, recommender system, etc.
Experience in leading large scale data science projects and delivering from end to end.
Experience with building data pipelines, model framework and model deployment.
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