Remote Junior Data Scientist — Learn & Build Insights

Placements24; Queenstown (MD); Remote; USD 60,000 - 85,000; Full time

Job summary

Placements24 in the United States is seeking a Junior Data Scientist to join a remote, data-driven analytics team. This entry-level role suits recent graduates with a strong quantitative background who want to uncover insights from complex datasets.

You will apply statistical modeling, ML, and data visualization with Python, R, SQL, Pandas, NumPy, and scikit-learn, and communicate results to diverse audiences.

Qualifications

• Bachelor's or Master’s in data science, statistics, mathematics, CS, or related field.
• Solid understanding of statistics and ML algorithms.
• Experience with Pandas, NumPy, Scikit-learn.
• Proficient in SQL.
• Strong analytical and problem-solving skills.
• Excellent communication and presentation skills for remote work.
• Ability to work independently on multiple projects remotely.

Responsibilities

• Collect, clean, and process large datasets.
• Develop and implement statistical models and ML algorithms.
• Perform exploratory data analysis to identify patterns.
• Create data visualizations to convey findings.
• Collaborate with stakeholders to translate business problems into data science tasks.
• Assist in deployment and monitoring of data models.
• Stay updated on advances in data science and ML.
• Document data science methodologies and results.
• Participate in virtual team meetings and knowledge sharing.

Skills

Statistical knowledge

Data analysis

Communication

Analytical thinking

Independent work

Remote collaboration

Education

Bachelor's or Master's in Data Science/Statistics/Math/CS

Tools

Python

R

SQL

Pandas

NumPy

scikit-learn

Job description

Placements24 in the United States is seeking a Junior Data Scientist to join a remote, data-driven analytics team. This entry-level role suits recent graduates with a strong quantitative background who want to uncover insights from complex datasets.

You will apply statistical modeling, ML, and data visualization with Python, R, SQL, Pandas, NumPy, and scikit-learn, and communicate results to diverse audiences.