Applied Data Scientist - ML/NLP & Experiments

Maximus; Tysons (VA); Remote; USD 90,000 - 129,000; Full time

Job summary

Maximus in Tysons, VA seeks a data scientist to perform hands-on data analysis and modeling with large data sets, applying ML, NLP, and A/B testing to improve performance and mission readiness. You will collaborate with product managers, engineers, and clinicians to discover data sources, clean data, and design experiments producing actionable recommendations.

Qualifications include a Bachelor's degree in a relevant field and 3+ years of experience; advanced degrees preferred.

Qualifications

• Bachelor's degree in data science, statistics, mathematics, computer science, or a related field.
• 3+ years applying quantitative research to optimize human decisions with ML/deep learning.
• Experience with ML frameworks (scikit-learn, PyTorch, TensorFlow, Keras) and algorithms (CNN, GAN, LSTM, RNN, XGBoost).

Responsibilities

• Perform hands-on data analysis and modeling with large data sets.
• Apply data mining, NLP, and ML to improve relevance and personalization.
• Collaborate with product managers, software engineers, and designers on experiments and MVPs.
• Discover data sources, clean and prepare them for modeling, and create features.
• Run A/B tests, analyze results, and communicate insights to stakeholders.

Skills

Big data analysis

ML/AI modeling

Experiment design

Statistical analysis

Communication

Education

Bachelor's degree in data science, statistics, or related field

Advanced degree preferred

Tools

Scikit-learn

PyTorch

TensorFlow

Spark

SQL

Hadoop

Job description

Maximus in Tysons, VA seeks a data scientist to perform hands-on data analysis and modeling with large data sets, applying ML, NLP, and A/B testing to improve performance and mission readiness. You will collaborate with product managers, engineers, and clinicians to discover data sources, clean data, and design experiments producing actionable recommendations.

Qualifications include a Bachelor's degree in a relevant field and 3+ years of experience; advanced degrees preferred.