Data Scientist: Flexible Schedules, Impactful Analytics

RealmOne; Columbia (MD); On-site; USD 119,000 - 285,000; Full time

Benefits offered by this job

Healthcare Coverage + Insurance

401K + Profit Sharing

Paid Time Off + Holidays

Career Growth & Training

More Benefits

Job summary

RealmOne, a mid-sized science and technology company based in Columbia, MD, is seeking a Data Scientist proficient in Python and Jupyter to automate workflows, manipulate data, and create visualizations. This role supports a mission-critical cybersecurity analytics program and requires active security clearance.

You will work with a team of data scientists and analysts to transform large datasets into actionable insights, apply statistical methods, and communicate results to non-technical

Qualifications

• Level 2: Bachelor's with 3 years or Associate with 5 years of relevant experience.
• Level 3: Bachelor's with 10 years or Associate with 12 years.
• Level 4: Bachelor's with 15 years or Associate with 17 years.
• All levels: degree field aligned with mathematics, statistics, ML, CS or related discipline.

Skills

Python

Data Science

Machine Learning

Data Visualization

EDA

Communication

Education

Bachelor's degree with 3 years of relevant experience

Associates degree with 5 years of relevant experience

Bachelor's degree with 10 years of relevant experience

Associates degree with 12 years of relevant experience

Bachelor's degree with 15 years of relevant experience

Associates degree with 17 years of relevant experience

Bachelor's Degree in Mathematics, Applied Mathematics Statistics, ML, DS, CS or related field (or certificate in Data Science)

Job description

RealmOne, a mid-sized science and technology company based in Columbia, MD, is seeking a Data Scientist proficient in Python and Jupyter to automate workflows, manipulate data, and create visualizations. This role supports a mission-critical cybersecurity analytics program and requires active security clearance.

You will work with a team of data scientists and analysts to transform large datasets into actionable insights, apply statistical methods, and communicate results to non-technical