Hybrid Mid-Level Data Scientist - Predictive Modeling

System One

Merrifield (VA)

Hybrid

USD 90,000 - 125,000

Part time

6 days ago
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Job summary

System One is seeking a Mid-Level Data Scientist for a contract role in Vienna, VA. The position combines onsite and remote work in a hybrid arrangement.

You will collaborate with senior data scientists to design predictive models and data-driven solutions for diverse business needs. Responsibilities include data manipulation with Python/SQL, building models with ML techniques, and communicating findings clearly.

Qualifications

  • Bachelor’s degree in data science, statistics, economics, mathematics, computer science, engineering, or similar quantitative field.
  • 3–7 years of experience in data science, statistics, and data analytics.
  • Bachelor’s required; Master’s preferred.

Responsibilities

  • Collaborate with senior data scientists to design and implement predictive models and custom solutions.
  • Partner with business units to gather requirements and address business challenges.
  • Write efficient code in Python and SQL to manipulate and analyze data.
  • Design, develop, and evaluate predictive models and algorithms with moderate to high complexity.
  • Utilize traditional and machine learning techniques to build a variety of models (e.g., logistic regression, XGBoost, neural networks, NLP, clustering).
  • Analyze and interpret results and document findings.

Skills

Data storytelling
Strong communication
Technical writing

Education

Bachelor’s degree in quantitative field
Master’s degree in similar field

Tools

Python
SQL
PySpark
R
Azure
Databricks
AWS
Hadoop
JIRA

Job description

System One is seeking a Mid-Level Data Scientist for a contract role in Vienna, VA. The position combines onsite and remote work in a hybrid arrangement.

You will collaborate with senior data scientists to design predictive models and data-driven solutions for diverse business needs. Responsibilities include data manipulation with Python/SQL, building models with ML techniques, and communicating findings clearly.

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