Social Science Research Assistants jobs in North Carolina
Showing 6 Social Science Research Assistants jobs available in North Carolina.
R&D & AI Enablement Intern
(Spanish - Central American) Information Environment Analyst
(Spanish) Information Environment Analyst
Social Media/Behavioral Research Analyst
Social Media/Behavioral Research Analyst
Cognitive Enhancement Practitioner
R&D & AI Enablement Intern at Element Solutions – Apex, North Carolina
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About This Position
Equal Opportunity Employer: Minority/Female/Veteran/Disabled/Gender Identity/Sexual Orientation
Challenge Yourself and Impact the Future!
Element Solutions Inc (NYSE:ESI) is a leading specialty chemicals company whose operating businesses formulate a broad range of solutions that enhance the performance of products people use every day. Developed in multi-step technological processes, our innovative solutions enable our customer manufacturing processes in several key segments, including electronic circuitry, communication infrastructure, automotive systems, industrial surface finishing, and offshore energy.
Customers of our businesses use our innovation as a competitive advantage, relying on us to help them navigate in fast-paced, high-growth markets. For example, in-care technology, from infotainment to driver assistance, is accelerating the paste of new product development and automotive markets, and with a deep market expertise in electronics, we sit at the intersection of the fast-growing market, changing the competitive playing field for automotive manufacturers, with a long-standing presence.
We strive to embody the five 'Elements of our Culture'- our '5C's'; Challenge, Commit, Collaborate, Choose, and Care. These core values are the foundation of our organization which our employees embrace in their interactions with customers, colleagues and other stakeholders, to drive financial performance and create a rewarding work environment.
We're looking for an enthusiastic and organized R&D & AI Enablement Intern to join our team this summer. This internship offers hands-on experience at the intersection of research, data science, and applied AI, along with the opportunity to contribute to impactful innovation projects.
The ideal candidate is curious, analytical, and motivated, with a strong interest in leveraging data and machine learning techniques to solve real-world product development challenges. You should be comfortable working both independently and collaboratively in a fast-paced, interdisciplinary environment.
- Mine and structure product-specific datasets to support advanced analytics and modeling efforts
- Develop a recommendation engine for formulations by identifying similarities across products using techniques such as clustering, embeddings, and dimensionality reduction (e.g., t-SNE)
- Build and evaluate models that map input parameters to optimized formulation outputs
Analyze experimental datasets to predict key properties of final products using statistical and machine learning approaches - Collaborate with R&D and cross-functional teams to translate business and scientific problems into data-driven solutions
- Prepare reports, visualizations, and documentation to communicate insights and model performance
- Participate in team meetings, contributing ideas and documenting key action items
Support ongoing AI and data enablement initiatives across the organization
- Currently enrolled in a college or university; juniors and seniors are especially encouraged to apply
- Must be authorized to work in the United States without current or future sponsorship requirements
- Local to the internship site and able to commute reliably
- Available to work full-time onsite and commit to the full duration of the internship program
- Pursuing a degree in Data Science, Computer Science, Chemical Engineering, Materials Science, Statistics, or a related field (or strong interest in applied AI within R&D environments)
- Strong analytical and problem-solving skills with attention to detail
Familiarity with machine learning concepts such as clustering, embeddings, and predictive modeling - Experience with data analysis tools (e.g., Python, pandas, NumPy, scikit-learn, or similar)
Understanding of data visualization and dimensionality reduction techniques (e.g., t-SNE, PCA) is a plus - Excellent written and verbal communication abilities
- Strong organizational, time management, and multitasking skills
- Ability to work independently and collaboratively in a team environment
- Proficiency in Microsoft Office and/or Google Workspace applications
- Hands-on experience working on real-world AI and R&D projects from day one
- Exposure to cutting-edge techniques in machine learning and product innovation
- Skill-building opportunities that prepare you for careers in data science, AI, and research
- Mentorship from experienced professionals across R&D and AI domains
- A collaborative, fast-paced environment that encourages experimentation and innovation
- Meaningful contributions that directly impact product development and business outcomes
- Company-paid travel to other locations for project or team-related activities
All qualified applications will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category applicable under federal, state and local laws.