Contract to Hire Reston only

hybrid, 3 days onsite, 2 days offsite

1st round interview via Video, 2nd round interview onsite

Must Have: AI/ML, Python, AWS, Bedrock, RDS, Redshift, S3, SQL, R

Open to more junior-mid level candidates with 1-5 years of experience, bill rates should reflect the amount of experience.

Required Qualifications

• Bachelor’s or Master’s 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.

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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.

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Soft Skills

• Strong analytical thinking and attention to detail.

• Ability to work independently and in a team environment.

• Effective communication and stakeholder management skills.

KMM Technologies, Inc.

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