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Data Analyst / Data Scientist (2-4 years)

🇺🇸 United States

NumPy

Tableau

Python

AWS

GCP

Azure

Machine Learning

Internship

Data Science

SQL

Analyst

Excel

USD 50000 - 75000 / hour

Data Analyst / Data Scientist (2-4 years)

from 🇺🇸 United States

USD 50000 - 75000 / hour

Job Description:

We are looking forearly-career Data Analytics / Data Science professionals who are passionate about working with data and deriving meaningful insights. Candidates withinternship experience, academic projects, or personal projects are highly encouraged to apply.

This role is ideal for candidates looking to build a strong foundation in data analytics and data science while working on real-world business problems.


Experience:
6 Months – 2/3/4 Years
Employment Type: Full Time W2 Only
Work Authorization:US Citizens Only
Location:
Open to Relocation Anywhere in the United States

Key Responsibilities:

  • Collect, clean, and analyze structured and unstructured data

  • Develop reports, dashboards, and visualizations to support decision-making

  • Perform exploratory data analysis (EDA) and identify trends and patterns

  • Assist in building predictive models and basic machine learning solutions

  • Work closely with business and technical teams to understand data requirements

  • Document findings and present insights to stakeholders

Required Skills:

  • Strong understanding ofSQL

  • Proficiency inPython orR

  • Knowledge ofExcel and data manipulation techniques

  • Familiarity withdata visualization tools (Tableau, Power BI, or similar)

  • Basic understanding ofstatistics and data modeling concepts

Nice to Have:

  • Exposure toMachine Learning concepts

  • Experience withcloud platforms (AWS, Azure, or GCP – basic level)

  • Hands-on experience throughinternships, academic projects, or personal projects

  • Knowledge of Pandas, NumPy, Matplotlib/Seaborn, or Scikit-learn

Eligibility Criteria:

  • US Citizens only

  • 6 months to 2 years of experience (internships & projects count)

  • Must bewilling to relocate anywhere in the United States

  • Open to early-career professionals and fresh graduates with strong project work

by @maxrusakovic