Data Scientist

Innovative Object Solutions, Inc.; Baltimore (MD); On-site; USD 65,000 - 85,000; Full time

Job summary

A technology consulting firm in the United States is seeking an entry-level candidate with a strong foundation in data analysis and predictive modeling. As a full-time employee, you will leverage your skills in Python and SQL to analyze complex data sets, design scalable algorithms, and collaborate with engineering teams. A Bachelor's degree in a quantitative field is required, along with 1-2 years of experience in analytics. This position offers an opportunity for impactful business insights.

Qualifications

• Bachelor's degree or equivalent experience in Statistics, Mathematics, or Computer Science.
• 1-2 years of experience in quantitative analytics or data modeling.
• Deep understanding of predictive modeling and machine‑learning techniques.

Responsibilities

• Analyze raw data quality, cleansing, and structuring for processing.
• Design accurate and scalable prediction algorithms.
• Collaborate to bring analytical prototypes to production.
• Generate actionable insights for business improvements.

Skills

Data analysis

Collaboration skills

Predictive modeling

Machine learning

Programming (Python, SQL)

Data cleansing

Education

Bachelor's degree in quantitative field

Tools

Python

SQL

Cassandra

Hadoop

Spark

Tableau

Job description

Description

The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers.

Responsibilities

• Analyze raw data: assessing quality, cleansing, structuring for downstream processing
• Design accurate and scalable prediction algorithms
• Collaborate with engineering team to bring analytical prototypes to production
• Generate actionable insights for business improvements

Qualifications

• Bachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.)
• At least 1-2 years' of experience in quantitative analytics or data modeling
• Deep understanding of predictive modeling, machine‑learning, clustering and classification techniques, and algorithms
• Fluency in a programming language (Python, C, C++, Java, SQL)
• Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau)

Seniority Level

• Entry level

Employment Type

• Full-time

Job Function

• Engineering and Information Technology

Industry

• IT Services and IT Consulting

Location

Washington, DC