Why you? As a Pythian Data Scientist, you will be responsible for leveraging your expertise in data analysis, machine learning, and statistical modeling to deliver insights and build predictive models. You will work on both internal IP development and client projects, applying a variety of techniques to solve complex business problems. Additionally, you will use and fine-tune pre-trained models, such as Large Language Models (LLMs), to accelerate development and enhance model performance.
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 excellent take home salaries, shifted work time bonus (if applicable) and an annual bonus plan!
Love your development: Hone your skills or learn new ones with an annual training allowance; 2 paid professional development days, attend conferences, become certified, whatever you like!
Love your work/life balance: 3 weeks of paid time off and flexible working hours. 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 budget to personalize your work environment!
Love your community: Blog during work hours; take a day off and volunteer for your favorite charity.
Why Pythian Pythian excels at helping businesses use their data and cloud to transform how they compete and win in this ever-changing environment by delivering advanced on-prem, hybrid, cloud and multi-cloud solutions to solve the toughest data challenges faster and better than anyone else. Founded and headquartered in Ottawa, Canada in 1997, Pythian now has more than 300 employees located around the globe with over 350 clients spanning industries from SaaS; media; gaming; financial services; e-commerce and more. Pythian is known for its technology-enabled data expertise covering everything from ETL to ML. We pride ourselves on our ability to deliver innovative solutions that meet the specific data goals of each client and have built meaningful partnerships with major cloud vendors AWS, Google and Microsoft. The powerful combination of our extensive expertise in data and cloud and our ability to keep on top of the latest bleeding edge technologies make us the perfect partner to help mid and large-sized businesses transform to stay ahead in today’s rapidly changing digital economy. DisclaimerFor this job an equivalent combination of education and experience, which results in demonstrated ability to apply skills will also be considered.The successful applicant will need to fulfill the requirements necessary to obtain a background check.Accommodations are available upon request for candidates taking part in all aspects of the selection process.
