This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Associate Engineer, Data Science based in United States. This opportunity is designed for an early-career data science professional looking to grow within a collaborative and innovative technology environment. The role focuses on applying analytical thinking, machine learning concepts, and data-driven approaches to solve complex business and technical challenges. You will work alongside experienced engineers and data professionals to build impactful solutions across digital products and services. The position offers exposure to modern technologies, diverse projects, and a culture that encourages learning, experimentation, and continuous improvement. You will contribute to developing intelligent systems while strengthening your technical expertise and problem-solving skills. This is an opportunity to accelerate your career while working on meaningful projects that create value for users and organizations worldwide. ### Accountabilities: The Associate Engineer, Data Science will support the development and implementation of data-driven solutions while collaborating with engineering and business teams. The role requires curiosity, technical aptitude, and a willingness to learn emerging technologies and methodologies. - Assist in collecting, cleaning, processing, and analyzing structured and unstructured datasets to support data science initiatives. - Develop and maintain data models, algorithms, and analytical solutions under the guidance of experienced team members. - Apply statistical methods and machine learning techniques to identify patterns, generate insights, and solve business problems. - Support experimentation, model evaluation, and performance optimization activities. - Collaborate with software engineers, data specialists, and cross-functional teams to deliver scalable digital solutions. - Participate in the design, testing, and improvement of data-driven products and services. - Research emerging data science tools, technologies, and best practices to continuously improve technical capabilities. - Document processes, methodologies, and results to support knowledge sharing and project success. - Contribute to a dynamic engineering environment focused on innovation, collaboration, and continuous learning. ## Requirements: The ideal candidate is a motivated data science professional with foundational technical skills and a strong interest in building innovative digital solutions. They should demonstrate analytical thinking, adaptability, and the ability to work effectively in collaborative environments. - Educational background in Data Science, Computer Science, Engineering, Mathematics, Statistics, or a related technical field. - Foundational knowledge of data analysis, machine learning concepts, and statistical techniques. - Experience working with programming languages such as Python, R, SQL, or similar technologies. - Familiarity with data manipulation, visualization, and analytical tools. - Strong problem-solving skills with the ability to approach technical challenges logically and creatively. - Ability to learn new technologies quickly and adapt to changing project requirements. - Good communication skills and the ability to collaborate effectively with technical and non-technical stakeholders. - Passion for technology, innovation, and continuous professional development. - Ability to work successfully in a fast-paced, team-oriented environment. ## Benefits: - Opportunity to work on innovative digital products and technology-driven projects. - Collaborative, global work environment with exposure to diverse teams and perspectives. - Career growth opportunities through continuous learning and skill development. - Access to challenging projects that help build real-world engineering experience. - Opportunity to work with modern technologies and industry-leading practices. - Supportive culture focused on collaboration, creativity, and professional growth. - Flexible work environment designed to encourage productivity and innovation. How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! [Why Apply Through Jobgether?](https://jobgether.com/how-jobgether-works) Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1