Junior Data Scientist
Nova Ltd.
Chicago, United States of America
yesterday
Role details
Contract type
Internship / Graduate position Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
JuniorJob location
Chicago, United States of America
Tech stack
Amazon Web Services (AWS)
Data analysis
Azure
Computer Programming
Data Governance
Data Integrity
Data Visualization
Database Queries
Hadoop
Python
Machine Learning
NumPy
Power BI
Standard Sql
Tableau
Unstructured Data
Spark
GIT
Pandas
Matplotlib
Scikit Learn
Information Technology
Data Analytics
Data Management
Software Version Control
Job description
- Collect, clean, and preprocess structured and unstructured data from multiple sources
- Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies
- Develop and implement basic machine learning models under senior guidance
- Use statistical techniques to validate data insights and support decision-making
- Build data visualizations and dashboards using tools like Tableau, Power BI, or Python libraries
- Collaborate with cross-functional teams including engineering, product, and business stakeholders
- Assist in deploying and monitoring models in production environments
- Document methodologies, processes, and findings clearly for stakeholders
- Ensure data integrity, accuracy, and compliance with data governance standards
Requirements
We are seeking a motivated and detail-oriented Junior Data Scientist to join our growing data team. The ideal candidate will have a strong foundation in data analysis, statistical modeling, and programming, with the ability to translate business problems into data-driven solutions., * Bachelor's or master's degree in data science, Computer Science, Statistics, Mathematics, or related field
- 0-3 years of experience in data science, data analysis, or related role
- Proficiency in Python or R
- Strong knowledge of SQL and data querying
- Understanding of machine learning algorithms (regression, classification, clustering)
- Experience with data visualization tools (Tableau, Power BI, Matplotlib, Seaborn)
- Familiarity with libraries such as Pandas, NumPy, Scikit-learn
- Basic understanding of cloud platforms (AWS, Azure, or GCP) is a plus
- Strong analytical thinking and problem-solving skills
Preferred Qualifications:
- Internship or academic project experience in data science or analytics
- Exposure to big data tools (Spark, Hadoop) is an advantage
- Knowledge of version control systems like Git
Work Authorization (Mandatory):
- No C2C / No Contract / No Third-Party submissions
- OPT / CPT / GC / Asylum / TN visa candidates will be considered
