Data Analyst

Company:  Diverse Lynx
Location: Austin
Closing Date: 06/12/2024
Hours: Full Time
Type: Permanent
Job Requirements / Description
Job Role- Data Analyst

Location- Austin, Texas

Job type- Contract

Description

Python experience with 3 5 years of experience as a developer / back end engineer OR as a front end engineer.

To Develop reusable, testable and efficient Python code. Strong Python (specially Pandas) and SQL skills.

Familiarity with software engineering techniques and tools such as version control, testing, logging, GitHub

The ability to interpret complex data using a variety of analytical, statistical or machine learning techniques.

Knowledge of Statistical and Mathematical models like Regression, Clustering, times Series, Classification.

Visualisation packages like plotly, matplotlib Python experience with 3 5 years of experience as a developer / back end engineer OR as a front end engineer.

To Develop reusable, testable and efficient Python code. Strong Python (specially Pandas) and SQL skills.

Familiarity with software engineering techniques and tools such as version control, testing, logging, GitHub The ability to interpret complex data using a variety of analytical, statistical or machine learning techniques.

Knowledge of Statistical and Mathematical models like Regression, Clustering, times Series, Classification.

Visualisation packages like plotly, matplotlib

Preferred Skills/Expereince: Exposure to ML concepts like LSTM, RNN and Conv Nets Experience with sklearn, NLTK, keras and other ML libraries in Python

Data Science is mandatory Preferred Skills/Expereince: Exposure to ML concepts like LSTM, RNN and Conv Nets Experience with sklearn, NLTK, keras and other ML libraries in Python "

Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.
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