Data Scientist – Crystal City (DC Area)

Technical Skills

and Competencies • Proficiency in data-driven solutions, including data extraction, data wrangling, statistical analysis, feature engineering, and predictive modeling methodologies. • Experience with machine learning algorithms such as Linear Regression, Logistic Regression, Support Vector Machine, Naive Bayes, Decision Tree, Random Forest, K-means, K Nearest Neighbors, Boosting, and ensemble methods. • Strong programming skills in Python and SQL. • Familiarity with cloud platforms including Azure, AWS, and Google Cloud. • Experience with data analytics, data science operations, and deployment of models on cloud environments. • Knowledge of databases such as MySQL, PostgreSQL, and MongoDB. • Experience with tools like Power BI, Tableau, Jupyter Notebook, Google Colab, JIRA, and GitHub. • Frameworks/packages: Sklearn, Numpy, Pandas, NLTK, Matplotlib, Seaborn, Flask. • Experience with monitoring and dashboarding tools such as Grafana and Datadog. Work Experience • Minimum 7+ years in the IT industry, with at least 3+ years as a Data Scientist. • Experience in domains such as Food, Banking, Aviation, Automobile, and Manufacturing. • Demonstrated ability to create and operationalize machine learning pipelines, optimize pricing, and recommend best practices for data science lifecycle. • Experience in coordinating with multiple teams and supporting client business needs. • Proven track record in standardizing code sharing and data sharing methodologies.

al Background • Master’s degree in Data Science or a related field (e.g., MS Data Science from Drexel University). • Bachelor’s degree in Engineering or Computer Science (e.g., BE Electronics and Communication Engineering or Computer Science Engineering). Achievements and Certifications • Relevant certifications such as Python for Data Science, Data Visualization Using Python, Machine Learning with Python, Azure Fundamentals, Azure Data Fundamentals, Databricks Lakehouse Fundamentals, AWS Partner: Generative AI Essentials, AWS Cloud Quest: Cloud Practitioner, and Fabric Analytics Engineer Associate. • Demonstrated success in deploying scalable machine learning solutions and automating processes. Job-Specific Criteria • Must be able to engage in discussions with clients to identify and gather business needs. • Ability to analyze existing project frameworks, identify gaps, and propose enhancements. • Experience in integrating cloud services and creating dashboards for monitoring and managing model metrics and logs. • Cultural Fit and