
Manager, Data Science (GNS)
- Raleigh, NC
- $180,000-200,000 per year
- Permanent
- Full-time
- Manage a team of data scientists and engineers to design, develop, and deploy advanced AI solutions.
- Lead the development of AI and machine learning models to solve business problems.
- Research, build, and deploy models based on shallow and deep machine learning.
- Train robust NLP-based models on large datasets.
- Collaborate with cross-functional teams to align AI solutions with business goals and customer needs.
- Design APIs for disseminating data science outputs.
- Oversee the scaling of production systems to meet growing demands.
- Working closely with other data scientists and engineers to design, develop, and deploy AI solutions.
- Analyzing large datasets to identify patterns and trends that can inform AI development.
- Communicating findings and insights to stakeholders in a clear and concise manner.
- Staying current with the latest AI and machine learning trends and technologies.
- Mentoring junior data scientists and provide guidance on AI and machine learning best practices.
- Driving best practices across our data science functions.
- Setting strategy and team direction, with a clear vision for Data Science.
- Working with product leaders to apply data science solutions.
- Evaluating and creating new frameworks and defining methodologies and governance.
- Leading small- to medium-sized teams (direct or indirect).
- Setting a high-bar for model development.
- Have substantial experience in a senior data scientist role.
- Have experience in leading complex projects and customer relationships.
- Have significant experience in managing larger Technical teams (direct or indirect).
- Have experience in mentoring or training others, acting as a subject matter expert to guide colleagues.
- Be a natural problem solver, able to take a lead in collaborating to resolve issues.
- Have excellent communication skills and the ability to convey information clearly to senior stakeholders.
- PhD or Master's degree in Computer Science, Mathematics, Statistics, or a related field.
- 7-10+ years of experience in AI and machine learning.
- Deep understanding of machine learning algorithms, including deep learning, gradient boosting, and random forests.
- Experience working directly with large language models and Transformer based architectures including BERT, RoBERTa, T5 etc.
- Working knowledge of applying recent LLMs including ChatGPT, GPT 3.5, OPT, BLOOM, etc.
- Experience with reinforcement learning, prompt engineering, hallucination mitigation.
- Working understanding of the business risks associated with applying LLM in a business.
- Experience working with large datasets and distributed computing systems (e.g., Hadoop, Spark).
- Strong coding skills in Python or another programming language.
- Excellent communicator, with the ability to translate complex technical concepts to non-technical stakeholders.
- Strong problem-solving skills and the ability to think outside the box.