Data Scientist

Title: Data Scientist/Python Developer Duration: 4+ Months Location: McLean, VA (Hybrid) Interview: Video Job Description: We are seeking a highly skilled Data Scientist/Python Developer with strong experience in Python, AWS, and Machine Learning to design, develop, and implement scalable data-driven solutions. The ideal candidate will be responsible for developing predictive models, automating data workflows, and leveraging AWS services like DynamoDB and Aurora for efficient data storage and processing. Key Responsibilities: • Design, develop, and deploy machine learning models and data pipelines using Python and AWS services. • Perform data extraction, cleaning, transformation, and feature engineering from various data sources. • Work with DynamoDB and Aurora databases to manage structured and unstructured data efficiently. • Develop APIs and automation scripts for data integration and model deployment. • Implement best practices for data validation, model optimization, and performance monitoring. • Collaborate with data engineers, analysts, and stakeholders to identify business opportunities and deliver insights. • Ensure scalability, security, and reliability of solutions built on AWS infrastructure. Required Skills & Qualifications: • Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field. • 4+ years of hands-on experience with Python programming and data analysis. • Strong experience with AWS services (S3, Lambda, DynamoDB, Aurora, SageMaker, etc.). • Solid understanding of machine learning algorithms, data modeling, and statistical analysis. • Experience working with large datasets, ETL pipelines, and API integration. • Familiarity with version control tools (e.g., Git) and CI/CD workflows. • Excellent analytical, problem-solving, and communication skills. Preferred Qualifications: • Experience deploying ML models on AWS SageMaker or using Docker and Kubernetes. • Familiarity with data visualization tools (Tableau, Power BI, or Matplotlib/Seaborn). • Knowledge of SQL and NoSQL databases and data pipeline orchestration tools (Airflow, Glue, etc.). “Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”