Data Scientist

Iamecon

Austin, Northern (TX, KY)

Hybrid

USD 65,000 - 88,000

Full time

9 days ago

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Job summary

Industrial Analytics and Modeling Inc in Austin, TX is seeking a data engineer/analyst to design and optimize SQL queries and data workflows, extracting and transforming large-scale relational data for analytics.

You will clean data with Python (Pandas, NumPy), perform EDA, and develop ML models to deliver business insights.

Qualifications

  • Bachelor’s degree in Computer Science is required.
  • Experience with SQL and Python for data processing.
  • Ability to clean and normalize datasets for modeling.

Responsibilities

  • Design and optimize complex SQL queries and data workflows to extract, transform, and create analytical data tables from large-scale relational databases.
  • Perform data cleaning, normalization, and feature engineering using Python (Pandas, NumPy) to prepare structured and unstructured datasets for modeling and analysis.
  • Conduct exploratory data analysis (EDA) and statistical analysis to identify trends, patterns, and business-driven insights.
  • Develop, train, and evaluate machine learning models to solve predictive and analytical problems.

Skills

SQL
Python
EDA
Machine learning

Education

Bachelor's degree in Computer Science

Tools

Pandas
NumPy

Job description

Industrial Analytics and Modeling Inc
1601 E Cesar Chavez Street, Suite 205, Austin, TX 78702
Salary: $76,500

  • Design and optimize complex SQL queries and data workflows to extract, transform, and create analytical data tables from large-scale relational databases.
  • Perform data cleaning, normalization, and feature engineering using Python (Pandas, NumPy) to prepare structured and unstructured datasets for modeling and analysis.
  • Conduct exploratory data analysis (EDA) and statistical analysis to identify trends, patterns, and business-driven insights.
  • Develop, train, and evaluate machine learning models (e.g., regression, classification, clustering) to solve predictive and analytical problems.
Requirements

A Bachelor’s degree in Computer Science is required.

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