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Architecture Design Development Application Architect Iii

  • ... Posted on: Nov 04, 2025
  • ... V R Della Infotech Inc
  • ... Virtual, California
  • ... Salary: Not Available
  • ... Full-time

Architecture Design Development Application Architect Iii   

Job Title :

Architecture Design Development Application Architect Iii

Job Type :

Full-time

Job Location :

Virtual California United States

Remote :

No

Jobcon Logo Job Description :

Start/End Dates: 28/10/2025 (ASAP) - 27/07/2026
Work Location: US - CA Remote_ PST preferred, but open to all US time zones
Max BR : BR/Hr

Job Description: Summary:

The main function of the Data Scientist is to produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets.

Caveat : In general, stay away from profiles that is super tenured in a non-tech sector.

Job Responsibilities:

Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement.
Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data.
Generate and test hypotheses and analyze and interpret the results of product experiments.
Work with product engineers to translate prototypes into new products, services, and features and provide guidelines for large-scale implementation.
Provide Business Intelligence (BI) and data visualization support, which includes, but limited to support for the online customer service dashboards and other ad-hoc requests requiring data analysis and visual support.

Skills:

3 years minimum in data science/research
Experienced in either programming languages such as Python and/or R, big data tools such as Hadoop, or data visualization tools such as Tableau.
The ability to communicate effectively in writing, including conveying complex information and promoting in-depth engagement on course topics.
Experience working with large datasets.


Education/Experience:
Master of Science degree in computer science or in a relevant field.

Jobcon Logo Position Details

Posted:

Nov 04, 2025

Employment:

Full-time

Salary:

Not Available

Snaprecruit ID:

SD-CIE-a482cd9af04386556d3d191e4c9548155370c0b8fe555b94e395e3667a2a431c

City:

Virtual

Job Origin:

CIEPAL_ORGANIC_FEED

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Start/End Dates: 28/10/2025 (ASAP) - 27/07/2026
Work Location: US - CA Remote_ PST preferred, but open to all US time zones
Max BR : BR/Hr

Job Description: Summary:

The main function of the Data Scientist is to produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets.

Caveat : In general, stay away from profiles that is super tenured in a non-tech sector.

Job Responsibilities:

Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement.
Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data.
Generate and test hypotheses and analyze and interpret the results of product experiments.
Work with product engineers to translate prototypes into new products, services, and features and provide guidelines for large-scale implementation.
Provide Business Intelligence (BI) and data visualization support, which includes, but limited to support for the online customer service dashboards and other ad-hoc requests requiring data analysis and visual support.

Skills:

3 years minimum in data science/research
Experienced in either programming languages such as Python and/or R, big data tools such as Hadoop, or data visualization tools such as Tableau.
The ability to communicate effectively in writing, including conveying complex information and promoting in-depth engagement on course topics.
Experience working with large datasets.


Education/Experience:
Master of Science degree in computer science or in a relevant field.

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