Data Scientist

Data Scientist – Entry Level Location: USA Job Type: Contract Experience: 1–3 Years At Why Hiring, we believe in the power of connecting talented individuals with incredible remote job opportunities. Our mission is to simplify the job search process and empower professionals to find fulfilling roles that align with their skills and passions, regardless of geographical constraints. **About The Role** This position requires strong quantitative skills, experience with large and complex datasets, and the ability to collaborate with analysts, engineers, and mission partners to develop high\-impact solutions that drive intelligence insight and operational advantage. **Responsibilities** * Conduct exploratory data analysis to identify meaningful trends, patterns, and insights within datasets. * Collaborate with cross\-functional teams to understand business objectives and support data\-driven decision\-making. * Build and optimize machine learning models using techniques such as regression, classification, and clustering. * Prepare reports, dashboards, and presentations to clearly communicate analytical findings to stakeholders. * Clean, preprocess, and validate large datasets to ensure consistency, quality, and reliability. * Support the maintenance and improvement of data workflows, pipelines, and integration processes. * Evaluate model effectiveness using performance metrics including accuracy, precision, recall, and related measures. * Develop visualizations and dashboards using tools such as Power BI, Tableau, or Python visualization libraries. * Work alongside data engineers and analysts to streamline data transformation and accessibility. * Apply suitable methods for handling missing values, anomalies, and outliers in datasets. * Stay informed about emerging technologies, industry trends, and best practices in data science and analytics. * Participate in collaborative learning sessions, workshops, and team knowledge\-sharing activities. **Required Skills** * Proficiency in Python, R, SQL, or similar programming languages. * Experience with data visualization platforms such as Power BI or Tableau. * Strong understanding of statistical techniques and modeling approaches. * Foundational knowledge of AI/ML concepts and applications. * Experience working with relational and/or NoSQL databases. * Familiarity with cloud\-based big data technologies. * Ability to explain complex technical findings to non\-technical audiences. * Understanding of intelligence analysis processes and mission requirements. * Experience working with structured and unstructured datasets in complex environments. **Preferred Backgrounds** * Computer Science, Data Science, Mathematics, Engineering, or related fields * Open to a variety of technical or analytical backgrounds with demonstrated interest in data science or AI * Candidates who have completed personal projects, internships, or independent learning in data science or machine learning stand out **What You Can Expect** * Opportunities to continuously develop your skills and advance your career in a supportive environment. * A workplace that values flexibility, collaboration, well\-being, and inclusivity. * The chance to contribute to meaningful projects while working alongside a diverse and globally connected team. * Ongoing support and encouragement to help you grow both personally and professionally. *Why Hiring does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.*