Senior Data Scientist

10Folders • Miami, FL, United States • $200k - $250k / year • 2m ago

Position Overview: The client is looking for a Data Scientist, LLM Generative AI, to join our dynamic and fast-paced environment and work with cross-functional teams to lead the analysis and synthesis of data generated by our members and from third parties into actionable insights via large language models (LLMs).

As a Large Language Model/Generative AI Data Scientist, you will join our new global AI and Data Intelligence team. This team aims to build state-of-the-art data and AI technology with strong research fundamentals for our career management platform. You will utilize your expertise in the data sciences to investigate and work with relevant data sources and build AI products that support the career management process. This is an excellent opportunity to work on various AI-powered projects with a growing team.

The data scientist will be primarily responsible for implementing the client's LLM strategy and optimizing the outputs from the LLM, given the data inputs. This includes conceptual tasks to structure the data and inputs and hands-on implementation tasks. The Data Scientist ensures the data sources are clean and accurate. The Data Scientist will make sense of the data, including basic reporting and drawing conclusions and correlations. The Data Scientist will work closely with the Technology team to ensure tight integration with the client's infrastructure and offers and with the Marketing team to help identify key learnings and insights about and for our members.

The ideal candidate will have a strong background in data analysis and statistical modelling, with a passion for uncovering insights from complex data sets.

Key Responsibilities:

Lead the development and implementation of machine learning algorithms and models, with a particular focus on NLP and Generative AI, to drive our career management platform.
Maintain awareness of and utilize, where appropriate, state-of-the-art AI, including Generative models as well as more classic NLP models.
Mapping and analyzing multiple data sets with emphasis on text-based data.
Benchmark, evaluate and document model performance, and provide recommendations for continuous improvement of models.
Manage complex projects and deliver high-quality, industry-leading solutions on schedule.
Collaborate with cross-functional teams, including Engineering and Product Management, to ensure the successful implementation of AI models.

Requirements:

Strong practical experience in machine learning, deep learning methods, statistical data analysis or similar role; experience in the HR industry would be a plus.
Minimum 2 years of applied experience in relevant fields.
Proficiency in using LLM and Transformer techniques for data analysis and modelling.
Experience with recent large language models (GPT-4, Llama2, Xgen, and other more focused language models).
Excellent programming skills in Python, R, or similar languages.
Experience with AI platforms such as SageMaker, MLFlow, and others preferred.
Experience building machine/deep learning models with at least one common framework, such as PyTorch, TensorFlow, Keras, Scikit Learn, etc.
Knowledge of relational database architecture and data management with expertise in SQL.
Familiarity with software development practices such as unit testing, code reviews, and version control.
Excellent analytical skills and presentation skills.
Capable of explaining complex concepts to non-technical stakeholders.
Strong verbal and written communication skills and ability to work independently and cooperatively.
Excellent problem-solving skills and the ability to think critically.
Strong communication skills and the ability to handle feedback constructively.
Ability to work independently and as part of a team.