What are the responsibilities and job description for the Data Scientist position at Ireland Blyth Limited?
Are you a skilled Data Scientist ready to drive impactful business decisions through advanced analytics, machine learning and AI? If so, look no further.
Read on to find out what you will need to succeed in this position, including skills, qualifications, and experience.
Join our dynamic Technology & Transformation team as a Data Scientist partnering with leaders to create business impact by leveraging data and analytical tools and hypothesis-based analysis on machine learning (ML)-based projects or the deployment of AI models and algorithms that enable data-driven decision making.
WHY JOIN US
Impactful Work : You will have the opportunity to contribute to the company’s growth and be part of exciting new developments.
Transparent Leadership : Experience a leadership team that is accessible, transparent, and genuinely values employee feedback.
Growth Opportunities : We believe in nurturing our team’s potential, offering diverse paths for personal and professional development.
KEY RESPONSIBILITIES
Experiment and build data-driven models that answer business questions and support decision making.
Perform experimentation to identify hidden relationships between variables in large datasets.
Research and implements cutting-edge techniques and tools in machine learning, deep learning, and artificial intelligence to make data analysis more efficient.
Create, implement, and deploy AI solutions in business environments, considering scalability, reliability, and security.
Perform thorough testing and evaluation of AI models to ensure their performance meets the desired business objectives.
Collaborate with data analysts, software engineers, and other stakeholders to integrate ML / AI capabilities into existing systems.
QUALIFICATIONS & EXPERIENCE
Bachelor’s or Master’s degree in Computer Science, data science, or a related field with specialization in ML / AI.
Experience in data science projects, including statistical analysis, data engineering, and data visualization.
Experience in Large Language Models (LLMs) such as GPT4, Llama3, Mistral and leveraging them through APIs
Familiarity in designing and implementing AI solutions with a focus on machine learning, recommendation systems, pattern recognition, NLP, or data mining.
Knowledge of popular machine learning frameworks such as TensorFlow and PyTorch
Proactive, customer centric and dynamic, ability to cope with pressure
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