Advanced Data Science Associate - Intern (North America - University Students) (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Location: Hybrid work in Princeton, New Jersey; Bellevue, Washington; South San Francisco, California; or Chicago, Illinois, United States. Work combines home-based work with on-site presence at offices or client sites. Client-facing work may require travel.
Salary: $6,000 per month
Company
is a management consulting and technology firm that combines data, science, technology, and human ingenuity to develop solutions and technology products for clients in healthcare and other critical business areas.
What you will do
- Develop advanced algorithms for large-dimensionality problems in a computationally efficient and statistically effective manner.
- Apply statistical, data mining, hypothesis testing, machine learning, and retrieval techniques to large structured and unstructured datasets.
- Identify trends and relevant information through rigorous research and analysis.
- Collaborate with clients and internal stakeholders to integrate and communicate analytical findings.
- Evaluate emerging datasets and technologies for the analytical platform.
Requirements
- A master's degree in computer science or statistics in progress, with strong academic performance and analytical and quantitative coursework.
- Knowledge of AI/ML algorithms and advanced analytics, including predictive modeling, text mining, recommender systems, social listening, and graph-based models.
- Knowledge of deep learning and AI technologies, including LLMs, generative AI, and transformers.
- Familiarity with statistical methods, big data, PySpark, SQL, Python, and pandas for data manipulation and data wrangling.
- Fluent English and excellent oral and written communication skills.
- Strong attention to detail, research orientation, critical thinking, problem-solving skills, motivation, and maturity.
Culture & Benefits
- Cross-functional skills development and customized learning pathways.
- Milestone training programs aligned with career progression opportunities.
- Internal mobility and multiple career progression paths.
- Collaborative work environment with flexible home and on-site working arrangements.
- Rewards and benefits supporting health and well-being, financial security, time away, and professional development.
- Travel opportunities for client-facing projects.
Hiring process
- Submit an online application with a complete set of official or unofficial transcripts.
- Interns are evaluated for a potential full-time employment offer at the end of the internship.
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