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Need Consultant for Sr. Data Scientist - Capgemini - DALLAS (US:75204), TX - Hybrid at Dallas, Texas, USA
Email: [email protected]
Hi,

Hope you are doing Good.

This is Santhoshi from HAN IT Staffing.

Today we have a requirement for a Sr. Data Scientist position with the client
Capgemini - DALLAS (US:75204), TX - Hybrid

Do you have any consultants regarding this position

Please share with me the resume of your consultant : [email protected]

Role: Sr. Data Scientist - Hybrid

CLient : Capgemini

Work location: DALLAS (US:75204), TX

JOB DESCRIPTION:

Job Summary.

Excellent knowledge of ML algorithms (e.g., Linear Regression, Logistic Regression, Clustering/Segmentation, Decision Tree, Random Forest Algorithm, GBM, DNN, Naive Bayes, Support Vector Machine, etc.).

Expertise in applying statistical, advanced analytics, machine learning, and/or AI, deep learning concepts, and techniques to solve business problems. Strong programming skills using Python, SQL, PySpark.

Experience with Python libraries such as Pandas, NumPy, SciPy, Scikit-Learn.

Strong analytical, critical-thinking skills with demonstrated ability to identify/analyze/synthesize data and use the data to drive decisions.

Superior communication and persuasion skills, talent for storytelling, visualization, and creating insights from data to deliver practical recommendations for business action.

Good knowledge of calculus, linear algebra, statistics, and probability.

Masters degree in Math, Statistics, Data Science, Analytics, Econometrics, Computer science, Operations Research, Behavioral Science, or another analytical/quantitative field required.

--

Santhoshi Bangari, US IT Recruiter

HAN IT Staffing Inc.

(606) 252-1779 (C)

[email protected]

www.hanstaffing.com
33 Wood Ave South, Ste. 715 Iselin, NJ 08830

Keywords: cprogramm artificial intelligence machine learning information technology New Jersey Texas
Need Consultant for Sr. Data Scientist - Capgemini - DALLAS (US:75204), TX - Hybrid
[email protected]
[email protected]
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Fri May 03 00:30:00 UTC 2024

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