Data Scientist

Reston, VA - USA

Monthly Salary: Not Disclosed

Posted on: 53 minutes ago

Vacancies: 1 Vacancy

Job Summary

Job Title: Data Scientist

Location: Reston VA
Hybrid- 3days a week onsite 2 days offsite

Key Responsibilities
Collect clean and preprocess large datasets from multiple sources.
Apply statistical analysis and machine learning techniques to solve business problems.
Build predictive models and algorithms to optimize processes and improve outcomes.
Develop dashboards and visualizations to communicate insights effectively.
Collaborate with cross-functional teams (Product Engineering Risk Marketing) to identify opportunities for leveraging data.
Ensure data integrity security and compliance with organizational standards.
Stay current with emerging technologies and best practices in data science and AI.

Required Qualifications
Bachelors or Masters degree in Data Science Computer Science Statistics Mathematics or related field.
Strong proficiency in Python R SQL and experience with data manipulation libraries (e.g. Pandas NumPy).
Hands-on experience with machine learning frameworks (e.g. scikit-learn TensorFlow PyTorch).
Solid understanding of statistical modeling hypothesis testing and data visualization.
Experience with big data platforms (e.g. Spark Hadoop) and cloud environments (AWS Azure GCP).
Excellent problem-solving skills and ability to communicate complex concepts clearly.

Preferred Qualifications
Experience in risk modeling financial services or product analytics.
Knowledge of MLOps and deploying models in production.
Familiarity with data governance and compliance frameworks.

Soft Skills
Strong analytical thinking and attention to detail.
Ability to work independently and in a team environment.
Effective communication and stakeholder management skills.

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Job Title: Data Scientist Location: Reston VA Hybrid- 3days a week onsite 2 days offsite Key Responsibilities Collect clean and preprocess large datasets from multiple sources. Apply statistical analysis and machine learning techniques to solve business problems. Build predictive models...