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Karkidi

Data Scientist

Karkidi, Herndon, Virginia, United States, 22070


We are seeking a passionate and skilled Journeyman Data Scientist to join our growing team. In this role, you will apply your expertise in data wrangling, analysis, and model building to tackle complex business challenges and derive actionable insights from diverse data sources. You will work collaboratively with stakeholders across our customer’s government organization to translate data into meaningful recommendations that drive positive change.Responsibilities Include:Design, implement, and maintain data processing pipelines for structured and unstructured data.Perform data cleaning, transformation, and feature engineering to prepare data for analysis.Conduct exploratory data analysis to identify patterns, trends, and anomalies.Develop and implement machine learning models for tasks such as prediction, classification, and clustering.Evaluate model performance and iterate to improve accuracy and generalizability.Communicate findings effectively through visualizations, reports, and presentations.Collaborate with cross-functional teams (e.g., product, engineering, marketing) to translate insights into actionable steps.Stay up to date on the latest data science tools, techniques, and industry trends.Contribute to the development and improvement of data science processes and best practices.Minimum Qualifications:Bachelor's Degree in data science, Statistics, Computer Science, or a related field (bachelor’s degree with relevant experience considered).4 years of experience as a Data Scientist or similar role.Strong proficiency in programming languages like Python, R, or SQL.Experience with machine learning libraries and frameworks (e.g., scikit-learn, TensorFlow, PyTorch).Solid understanding of statistical concepts and analysis methods.Preferred Qualifications:Experience with cloud computing platforms like AWS or Azure preferred.Excellent communication, collaboration, and problem-solving skills.Ability to work independently and manage multiple projects simultaneously.

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