Data Scientist

Atlas Global; Boston (MA); Hybrid; USD 150,000 - 221,000; Full time

Benefits offered by this job

Health insurance

Retirement plan

Professional development

Job summary

Atlas Global in Boston, MA is seeking a Data Scientist for a full-time role to turn data into strategic decisions. You will gather, analyze, and interpret complex datasets, identify trends, and build data-driven solutions and visualizations.

You will collaborate with cross-functional teams in our Boston office, work with Python, R, SQL, and ML tools, and contribute to a dynamic, innovative workplace. The position offers a competitive salary and benefits; remote options may be considered for

Qualifications

• Bachelor's degree in a related field and 3–5 years of experience.
• Proficiency in Python, R and SQL with ML and data visualization exposure.
• Ability to develop data-driven solutions and communicate insights.

Responsibilities

• Analyze complex data to identify trends and patterns.
• Create visualizations and data-driven solutions for stakeholders.
• Collaborate with cross-functional teams in Boston.

Skills

Python

R

SQL

Data visualization

Machine learning

Office tools

Project management

Education

Bachelor's degree in a related field

Tools

Microsoft Office

Project management software

Data analytics platforms

Job description

Atlas Global is looking for a Data Scientist in Boston, MA, for a full-time role. You'll use data to make strategic decisions and drive innovation.

As a Data Scientist, you'll gather, analyze, and interpret complex data to find trends and patterns. You'll also create data-driven solutions and visualizations to share insights.

You'll work with cross-functional teams in our Boston office, contributing to a dynamic and innovative workplace.

The annual salary range for this position is between $150,000 and $220,787, reflecting the competitive nature of the role and the responsibilities it entails. Candidates should be prepared to handle a diverse set of tasks, including project management, client interactions, and data analysis. The ideal candidate will possess proficiency in industry-standard tools such as Microsoft Office Suite, project management software, and data analytics platforms. The workplace is typically an office environment, though remote work options may be considered for highly qualified candidates. Additional benefits, such as health insurance, retirement plans, and professional development opportunities, are not specified but are likely to be part of the compensation package. Candidates should have a bachelor's degree in a relevant field and several years of experience in a similar role.

You need a strong data science background, proficiency in Python, R, and SQL, and experience with machine learning and data visualization tools. A bachelor's degree and 3-5 years of experience are required.

Analyze complex data to identify trends and patterns, develop and implement data-driven solutions, create visualizations to communicate insights effectively, collaborate with cross-functional teamsBachelor's degree in a related field, 3-5 years of relevant experience, proficiency in Python, R, and SQL, experience with machine learning algorithms and data visualization tools