Junior Data Scientist

Strategio Inc.; United States; Hybrid; USD 70,000 - 100,000; Full time

Job summary

Strategio Inc. is seeking a Junior Data Scientist in the DMV area for a hybrid role. You will work across data analysis and data science tasks, building datasets, exploring patterns, and developing models to deliver actionable insights.

You will extract and analyze data with Python and SQL, apply statistical methods, and create dashboards. Collaboration with business stakeholders is essential to translate results into business recommendations.

Qualifications

• Bachelor's degree in Statistics, Mathematics, Computer Science, or related STEM.
• Strong Python (Pandas, NumPy) and SQL, with dataset manipulation skills.
• Solid understanding of distributions, hypothesis testing, and regression.
• Foundational knowledge of classification, clustering, and anomaly detection.
• Familiar with PySpark, Databricks, AWS data services, and ETL basics.
• Ability to research, experiment, and think critically to derive insights.
• Clear business communication to present findings to stakeholders.
• Independent execution: build datasets, analyze, and create dashboards.

Responsibilities

• Extract, prepare, and analyze datasets using Python and SQL.
• Apply statistical methods and machine learning techniques.
• Develop dashboards to communicate findings to business stakeholders.
• Work with big data technologies and cloud-based data services.
• Interpret results and present clear business recommendations.

Skills

Python

SQL

Statistics

ML basics

Data Viz

Education

BSc in STEM fields

Tools

PySpark

Databricks

AWS S3

AWS Glue

Redshift

Job description

Junior Data Scientist

Location : DMV Area, USA - Hybrid

The Opportunity

We understand that launching a career in technology can be challenging, especially when companies prioritize years of corporate experience. Strategio offers a different path through an early-career opportunity focused on Data Science.

We're looking for individuals who combine strong technical and analytical skills with the ability to communicate complex findings clearly to business stakeholders. Our ideal candidates are curious, independent problem-solvers who can work across both data analysis and data science, from building datasets and exploring patterns to developing machine learning models and presenting actionable insights.

Through Strategio's 8-week Enterprise Simulator, you'll have the opportunity to strengthen your practical skills and prepare for the challenges of working in an enterprise technology environment.

If you're passionate about working with data, experimenting with new approaches, and translating technical findings into meaningful business insights, this opportunity could be the right next step in your career.

As a Strategio Junior Data Scientist:

You will work across data analysis and data science activities, combining technical expertise with business understanding to deliver meaningful insights.

In this role, you will extract, prepare, and analyze datasets using Python and SQL, apply statistical methods and machine learning techniques, and develop dashboards to communicate findings. You'll also work with big data technologies and cloud-based data services to support data processing and analytical workflows.

Beyond the technical work, you'll be expected to interpret results, explain your approach, and confidently present findings to non-technical stakeholders, helping translate data into clear business recommendations.

Entry Requirements:

• Education: Bachelor's degree in Statistics, Mathematics, Computer Science, or a related data-focused STEM discipline.
• Programming & Data Analysis: Strong working knowledge of Python (Pandas, NumPy) and SQL, with the ability to independently extract, manipulate, and analyze datasets.
• Statistics: Solid understanding of statistical distributions, hypothesis testing, and regression analysis.
• Machine Learning: Foundational knowledge of classification, clustering, and anomaly detection, with the ability to apply and interpret machine learning techniques.
• Big Data & Cloud Technologies: Knowledge of PySpark, Databricks, AWS data services (S3, Glue, Redshift), and ETL pipelines.
• Analytical & Research Mindset: Ability to approach problems through research, experimentation, and critical thinking, going beyond traditional reporting to uncover meaningful insights.
• Business Communication: Strong verbal and written communication skills, with the confidence to present analytical findings and translate complex technical concepts into clear business narratives.
• Independent Execution: Ability to build datasets, conduct analysis, and develop dashboards independently.
• AI Tools: Comfortable leveraging AI tools to accelerate analysis, explore data, and surface insights.
• Experience: Prior exposure to real datasets, academic projects, or research work is preferred.
• Location: Must be residing in or willing to work in the DMV (DC, Maryland, Virginia) area.
• Mindset / Traits: Intellectual Curiosity; Analytical Thinking; Independent Problem-Solving; Research & Experimentation; Proactive Ownership; and Strong Business Communication.