Junior Data Scientist

Emonics LLC; New York (NY); On-site; USD 90,000 - 130,000; Full time

Job summary

Emonics LLC is seeking a data scientist to collect, clean, and analyze data, perform EDA, and develop basic ML models. You will assist in feature engineering, model training, and evaluation, and create visualizations to communicate insights to technical and non-technical stakeholders.

You will write clean Python/SQL code, collaborate with cross-functional teams, and stay up-to-date with data science techniques to deliver analytical solutions.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering
• Strong knowledge of Python and SQL
• Understanding of statistics and probability
• Basic understanding of machine learning concepts
• Good problem-solving and analytical skills
• Ability to communicate technical findings clearly
• Strong attention to detail and willingness to learn

Responsibilities

• Collect, clean, transform, and analyze structured and unstructured data.
• Perform exploratory data analysis (EDA) to identify trends, patterns, and insights.
• Develop and evaluate basic statistical and machine learning models.
• Assist in feature engineering, model training, validation, and performance evaluation.
• Create meaningful data visualizations and dashboards to communicate findings.
• Work with cross-functional teams to translate business requirements into analytical solutions.
• Write efficient and maintainable Python/SQL code for data analysis and modeling.
• Prepare reports and presentations to communicate analytical results to stakeholders.
• Monitor model and data quality and assist with troubleshooting when required.
• Stay updated with emerging data science, AI, and ML techniques.

Skills

Python

SQL

Statistics

Machine Learning basics

Problem-solving

Communication

Detail-oriented

Learning ability

Education

Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering

Tools

Pandas

NumPy

Job description

• Collect, clean, transform, and analyze structured and unstructured data.
• Perform exploratory data analysis (EDA) to identify trends, patterns, and insights.
• Develop and evaluate basic statistical and machine learning models.
• Assist in feature engineering, model training, validation, and performance evaluation.
• Create meaningful data visualizations and dashboards to communicate findings.
• Work with cross-functional teams to understand business requirements and translate them into analytical solutions.
• Write efficient and maintainable Python/SQL code for data analysis and modeling.
• Prepare reports and presentations to communicate analytical results to technical and non-technical stakeholders.
• Monitor model and data quality and assist with troubleshooting when required.
• Stay updated with emerging data science, AI, and machine learning techniques.

Required Skills

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
• Strong knowledge of Python and SQL.
• Understanding of statistics and probability.
• Basic understanding of machine learning concepts and algorithms.
• Good problem-solving and analytical skills.
• Ability to communicate technical findings clearly.
• Strong attention to detail and willingness to learn.