Data Scientist
Matricstek Inc.
Chicago, ILFresher3h agovia LinkedIn
This job at a glance
- Who can apply
- New grads and up to 1 year · Bachelor's degree or Master's degree
- Must know
- StatisticsMachine learningPythonscikit-learnPandasNumPy
- Nice to have
- Data visualizationPower BITableau
- Work
- On-site in Chicago
- Pay
- Not stated by the employer.
- Skill demand
- Python89%Machine learning70%Statistics66%scikit-learn18%of 99 similar entry-level jobs posted in the US this week
- Listed
- Nov 4, 2026 · still open
Sign in free to see which of these skills your resume already shows.
About the Role
We are looking for an enthusiastic and analytical Entry-Level Data Scientist to join our team. The candidate will work with data, develop predictive models, identify patterns, and generate actionable insights to support business decisions.
Key Responsibilities
- Collect, clean, process, and analyze structured and unstructured datasets.
- Apply statistical techniques to identify trends, patterns, and business insights.
- Develop and evaluate basic machine learning models.
- Work with Python libraries such as Pandas, NumPy, Scikit-learn, and Matplotlib.
- Perform exploratory data analysis (EDA) and data visualization.
- Write SQL queries to extract and manipulate data from databases.
- Assist in building predictive models and improving model performance.
- Collaborate with cross-functional teams to solve data-driven business problems.
Requirements & Tech Stack
- Basic knowledge of Python, SQL, and Statistics.
- Understanding of Machine Learning algorithms and concepts.
- Familiarity with Pandas, NumPy, Scikit-learn, and Matplotlib.
- Understanding of data preprocessing, feature engineering, and model evaluation.
- Strong analytical, problem-solving, and communication skills.
- Knowledge of data visualization tools such as Power BI or Tableau is a plus.
Qualifications
- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
- Freshers and recent graduates with relevant academic projects or internships are encouraged to apply.