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Junior Data Scientist at Jobgether. This position is posted by Jobgether on behalf of SynergisticIT. We are currently looking for a Junior Data Scientist in Maryland (USA).. This role is designed for recent Computer Science graduates or early-career professionals aiming to gain practical experience in data science and analytics. You will work on real-world projects, developing and deploying machine learning models, performing data analysis, and creating actionable insights from structured and unstructured data. The position emphasizes hands-on experience with tools and platforms like Python, SQL, Tableau, Power BI, and cloud services. Mentorship, project guidance, and interview preparation are included, allowing you to build a strong portfolio and increase employability. This role offers a supportive environment for bridging the gap between academic knowledge and industry-ready skills.. . Accountabilities:. . Analyze datasets to uncover patterns, trends, and actionable insights for business and operational decisions.. . Develop and validate machine learning and statistical models to solve real-world problems.. . Assist in data preprocessing, feature engineering, and data visualization to support project objectives.. . Collaborate with cross-functional teams to understand requirements and translate them into technical solutions.. . Build and maintain dashboards, reports, and presentations to communicate findings to stakeholders.. . Contribute to code repositories, follow best practices, and participate in mentorship and code reviews.. . . Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field.. . Proficiency in Python and/or R for data analysis and modeling.. . Familiarity with SQL and relational databases.. . Exposure to data visualization tools such as Tableau, Power BI, or similar platforms.. . Strong analytical and problem-solving skills with the ability to learn new technologies quickly.. . Effective communication and collaboration skills for working in team environments.. . Open to candidates with gaps in employment or limited professional experience.. . Preferred Skills:. . Knowledge of machine learning libraries (e.g., Scikit-Learn, TensorFlow, PyTorch).. . Experience with cloud platforms (AWS, Azure) or DevOps practices.. . Exposure to big data tools like Databricks or Snowflake.. . Experience creating portfolios or GitHub projects showcasing technical work.. . Company Location: United States.