Associate Engineer, Data Science

Jobgether; United States; On-site; USD 50,000 - 90,000; Full time

Benefits offered by this job

Innovative projects

Global collaboration

Continuous learning

Modern technologies

Career growth opportunities

Flexible work environment

Job summary

Jobgether, on behalf of a partner company, is seeking an Associate Engineer, Data Science based in the United States. This early-career role focuses on applying analytical thinking, ML concepts, and data-driven approaches to real-world problems in digital products and services.

You will work with experienced engineers to develop data models, run experiments, and contribute to scalable solutions. The position offers a collaborative environment, exposure to modern tools, and opportunities for

Qualifications

• Background in data analysis, ML concepts, and statistics.
• Programming experience in Python, R, or SQL.
• Familiarity with data manipulation and visualization tools.

Responsibilities

• Support the development and implementation of data-driven solutions.
• Collaborate with engineering and business teams to deliver scalable digital products.
• Research and apply emerging data science tools and best practices.

Skills

Data analysis

Machine learning basics

Python

R

SQL

Education

Data Science or related field

Tools

Pandas

NumPy

Scikit-Learn

Job description

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.