Senior Data Scientist — ML, Analytics & Deployable Insights

UNAVAILABLE; McLean (VA); On-site; USD 120,000 - 180,000; Full time

Job summary

Unknown is seeking a Data Scientist to design, build, and deliver predictive analytics, ML models, and data-driven insights. You will work across engineering, data, and product teams to support mission and business outcomes and contribute to the full model lifecycle from data exploration to deployment.

Qualifications include a Master’s or Bachelor's in a relevant field, 6+ years of experience, strong Python and libraries, experience with PyTorch/TensorFlow/XGBoost, SQL, and cloud data platforms

Qualifications

• Bachelor’s or Master’s degree in a relevant field.
• 6+ years of experience building and evaluating ML models or performing advanced analytics.
• Proficiency in Python and core data science libraries (Pandas, NumPy, scikit-learn, Matplotlib/Seaborn).
• Hands-on experience with ML frameworks such as PyTorch, TensorFlow, XGBoost.

Responsibilities

• Conduct exploratory data analysis (EDA) to uncover trends and data quality issues.
• Develop ML models using frameworks such as scikit-learn, XGBoost, PyTorch, TensorFlow.

Skills

Python

Pandas

NumPy

scikit-learn

Matplotlib/Seaborn

PyTorch

TensorFlow

XGBoost

SQL

AWS

Azure

GCP

Databricks

Tableau

Power BI

EDA

Experiment design

Communication

Education

Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Analytics, Engineering, Economics

Tools

Tableau

Power BI

AWS

Azure

GCP

Databricks

Job description

Unknown is seeking a Data Scientist to design, build, and deliver predictive analytics, ML models, and data-driven insights. You will work across engineering, data, and product teams to support mission and business outcomes and contribute to the full model lifecycle from data exploration to deployment.

Qualifications include a Master’s or Bachelor's in a relevant field, 6+ years of experience, strong Python and libraries, experience with PyTorch/TensorFlow/XGBoost, SQL, and cloud data platforms