Why Pythian
Why you?
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.
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