Lead Data Scientist

Dallas, TX Dallas TX 75201

Date : May-29-25

Lead Data Scientist

Dallas, TX

May-29-25

Work Authorization

US Citizen
GC
H1B
GC EAD, TN EAD, L2 EAD

Preferred Employment

Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire

Job Details

Experience

:

Architect

Rate/Salary ($)

:

Market

Duration

:

12 months

Sp. Area

:

AI, ML, NLP, Data Science

Sp. Skills

:

Data Scientist

Consulting / Contract

Direct Client Requirement

Required Skills :

AWS, Docker, kubernetes, Tableau, Power BI, Azure, R, python, CI/CD, Big Data, Cloud, Data Warehousing, Machine Learning, data scientist, Statsmodels,

Preferred Skills :

Domain :

IT/Software

Work Authorization

US Citizen
GC
GC EAD, TN EAD, L2 EAD
H1B

Preferred Employment

Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire

Job Details

Experience

:

Architect

Rate/Salary ($)

:

Market

Duration

:

12 months

Sp. Area

:

AI, ML, NLP, Data Science

Sp. Skills

:

Data Scientist

Consulting / Contract

Direct Client Requirement

Required Skills :

AWS, Docker, kubernetes, Tableau, Power BI, Azure, R, python, CI/CD, Big Data, Cloud, Data Warehousing, Machine Learning, data scientist, Statsmodels,

Preferred Skills :

Domain : IT/Software

Apply Now

DMS Vision, Inc.
Frisco, TX
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Job Description :

Position: Lead Data Scientist (Onsite)

Location: Dallas, TX

Duration : 12 months

Job Description:

Technical Skills
- Programming languages: Python (Numpy, Pandas, Scikit-learn, Statsmodels) and/or R
- Machine Learning/Deep Learning Frameworks: TensorFlow, PyTorch, Keras
- Forecasting libraries: Prophet, Statsmodels
- Data Warehousing & Big Data Technologies: Apache Spark, Hadoop, Snowflake, Databricks, S3, ADLS
- Cloud Platforms: Azure, AWS, GCP MLOps: MLflow, Kubeflow, Docker, Kubernetes, CI/CD pipelines
- Data Visualization: Tableau, Power BI
- Analytical and Problem-Solving Skills: Statistical inference, experimental design, causal inference
- Mathematical foundations of machine learning algorithms
- Ability to analyze complex problems, break them down into manageable components, and devise innovative solutions.

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