Junior Data Scientist

Emonics LLC; Phoenix (AZ); On-site; USD 65,000 - 90,000; Full time

Job summary

Emonics LLC in Phoenix, AZ is seeking a motivated Junior Data Scientist to join our growing team. You will work with experienced data scientists to collect, analyze, and transform data into meaningful business insights.

The role emphasizes Python, SQL, statistics, and visualization skills, with opportunities to develop predictive models and improve data processes within cross-functional projects.

Qualifications

• Strong foundation in Python, SQL, statistics, and ML.
• Experience with data visualization and EDA.
• Excellent analytical and communication skills.
• Ability to work with cross-functional teams.

Responsibilities

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

Skills

Python

SQL

Statistics

Machine Learning

Data Visualization

EDA

Communication

Tools

SQL Databases

Jupyter

Job description

We are looking for a motivated and analytical Junior Data Scientist to join our growing team. The ideal candidate should have a strong foundation in Python, SQL, statistics, machine learning, and data visualization. You will work with experienced data scientists and cross-functional teams to collect, analyze, interpret, and transform data into meaningful business insights.

Key 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.

Required Skills

• 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.