Data Scientist

What will you be doing?

• Collect, clean, and analyze large datasets from various sources to extract meaningful insights.
• Develop and implement machine learning models, including both supervised and unsupervised techniques.
• Fine-tune and adapt pre-trained models (e.g., LLMs) for specific use cases and client projects.
• Collaborate with cross-functional teams, including software engineers, product managers, and domain experts, to develop data-driven solutions.
• Build predictive models and algorithms that address complex business challenges.
• Communicate results and insights effectively to stakeholders through data visualizations and reports.
• Stay current with the latest developments in data science, machine learning, and AI, with a focus on the practical application of pre-trained models and cutting-edge technologies.
• Develop and maintain internal IP around advanced analytics, model development, and AI-driven tools.

What do we need from you?

• Bachelor's or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. Ph.D. is a plus.
• 3+ years of experience in data science, machine learning, or a related role.
• Proficiency in programming languages such as Python or R and experience with data science libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Hands-on experience with pre-trained models such as Large Language Models (LLMs) or other deep learning frameworks.
• Strong understanding of statistical analysis, machine learning algorithms, and data visualization techniques.
• Experience working with databases (SQL, NoSQL) and cloud platforms (AWS, GCP, Azure).
• Excellent communication skills, with the ability to translate complex data findings into actionable business insights.
• Experience with client-facing projects or in a consulting environment is a plus.

What do you get in return?

• Love your career: Competitive total rewards package with an annual bonus
• Love your development: Hone your skills or learn new ones with our substantial training allowance; participate in professional development days, attend conferences, become certified, whatever you like!
• Love your work/life balance: Why commute? Work remotely from your home (forever), there’s no daily travel requirement to an office! You can be located anywhere in the US or Canada, all you need is a stable internet connection. 
• Love your workspace: We give you all the equipment you need to work from home including a laptop with your choice of OS, and an annual budget to personalise your work environment!  
• Love your community: Blog during work hours; take a day off and volunteer for your favorite charity.