Senior Data Scientist

6 days ago


Alpharetta, United States Cloudious LLC Full time
Job DescriptionJob Description

***Onsite in Alpharetta GA
***Max rate $90/hr on C2C

Senior Data Scientist

Job Summary

Experience : 8 to 11yrs

Required Skills : Database Design ,Python ,Machine Learning ,Artificial Intelligence

As a Senior Data Scientist you will be responsible for leveraging advanced technologies and data analytics to drive business insights and solutions.
With a focus on database design, Python, machine learning, and artificial intelligence, you will play a crucial role in enhancing our data-driven decision-making processes.
This position requires 8 to 11 years of experience in relevant fields.

Roles & Responsibilities:


Lead the development and implementation of geospatial data models and solutions to support business objectives.
Oversee the design and maintenance of databases to ensure efficient data storage and retrieval.
Provide expertise in Python programming to automate data processing and analysis tasks.
Utilize machine learning algorithms to analyze geospatial data and generate predictive insights.
Apply artificial intelligence techniques to enhance the accuracy and efficiency of geospatial analyses.
Collaborate with cross-functional teams to integrate geospatial data into broader business strategies.
Conduct thorough data quality assessments to ensure the reliability and accuracy of geospatial datasets.
Develop and maintain documentation for geospatial data models, processes, and workflows.
Train and mentor junior analysts in geospatial analysis techniques and best practices.
Present findings and recommendations to stakeholders in a clear and concise manner.
Stay updated with the latest advancements in geospatial technologies and methodologies.
Ensure compliance with data privacy and security regulations in all geospatial data handling processes.
Contribute to the continuous improvement of geospatial analysis tools and methodologies.

Qualifications:


Possess strong experience in database design and management, ensuring efficient data storage and retrieval.
Demonstrate proficiency in Python programming for automating data processing and analysis tasks
Have a solid understanding of machine learning algorithms and their application in geospatial data analysis.
Show expertise in artificial intelligence techniques to enhance geospatial analyses.
Exhibit excellent problem-solving skills and the ability to work collaboratively with cross-functional teams.
Display strong communication skills for presenting findings and recommendations to stakeholders.
Maintain a proactive approach to staying updated with advancements.



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