Junior Data Scientist - Python, SQL & ML Foundations

Emonics LLC; Chicago (IL); On-site; USD 65,000 - 90,000; Full time

Job summary

Emonics LLC is seeking a motivated Junior Data Scientist to join our growing team in Chicago. You will build foundational data science solutions, work with Python, SQL, statistics, and visualization to turn data into actionable insights.

You will collaborate with experienced data scientists and cross-functional teams to collect, analyze, and interpret data, develop basic models, and communicate findings to both technical and non-technical stakeholders.

Qualifications

• Good knowledge of Python programming.
• Understanding of SQL and database concepts.
• Basic knowledge of statistics and probability.
• Familiarity with machine learning algorithms.
• Understanding of data cleaning, preprocessing, and exploratory data analysis.
• Strong analytical, problem-solving, and communication skills.

Responsibilities

• Collect, clean, preprocess, and analyze structured and unstructured datasets.
• Perform exploratory data analysis (EDA) to identify patterns, trends, and business insights.
• Develop, train, test, and evaluate basic machine learning models.
• Write efficient SQL queries to extract and manipulate data from databases.
• Assist senior data scientists in developing predictive and statistical models.
• Identify data quality issues and recommend solutions.
• Communicate analytical findings and insights to technical and non-technical stakeholders.
• Stay updated with emerging data science tools, techniques, and technologies.

Skills

Python

SQL

Statistics

Machine Learning

Data Cleaning

Communication

Job description

Emonics LLC is seeking a motivated Junior Data Scientist to join our growing team in Chicago. You will build foundational data science solutions, work with Python, SQL, statistics, and visualization to turn data into actionable insights.

You will collaborate with experienced data scientists and cross-functional teams to collect, analyze, and interpret data, develop basic models, and communicate findings to both technical and non-technical stakeholders.