Junior Data Scientist

Fulltime

Atlanta, GA

Job Summary

We are looking for a motivated Junior Data Scientist to join our team. The ideal candidate is passionate about data, analytics, and machine learning, and is eager to apply data-driven approaches to solve business problems. This role offers an opportunity to work with experienced data professionals, develop analytical models, and contribute to impactful projects.

Key Responsibilities

Collect, clean, and preprocess data from various sources.
Perform exploratory data analysis to identify trends, patterns, and insights.
Develop and maintain statistical and machine learning models under the guidance of senior team members.
Create dashboards, reports, and visualizations to communicate findings effectively.
Support data-driven decision-making by providing actionable insights.
Collaborate with cross-functional teams, including engineering, product, and business stakeholders.
Monitor model performance and assist in model improvements.
Document methodologies, processes, and project outcomes.
Stay updated with emerging trends and best practices in data science and analytics.

Required Qualifications

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Economics, or a related field.
0–2 years of experience in data science, analytics, or a related role (internships and academic projects are welcome).
Strong understanding of statistics, probability, and data analysis concepts.
Proficiency in Python and/or R.
Familiarity with SQL and database querying.
Knowledge of machine learning fundamentals and common algorithms.
Strong analytical and problem-solving skills.
Good communication and presentation abilities.

Preferred Skills

Experience with data visualization tools such as Power BI, Tableau, or Looker.
Familiarity with machine learning libraries such as Scikit-learn, TensorFlow, or PyTorch.
Knowledge of cloud platforms (AWS, Azure, or Google Cloud).
Understanding of data engineering concepts and ETL processes.
Experience working with large datasets and data pipelines.
Portfolio of academic, personal, or internship projects demonstrating data analysis or machine learning capabilities.

Thanks

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