Data Scientist - Applied AI/Gen AI

Description

The role is a current vacancy open for applications, in a corporate function of an R&D-driven, AI-powered biopharma company.

The company develops medicines and vaccines, with a deep focus on the immune system, and uses AI across its work.

You would join a team that applies data science and AI to analytics projects, from early experiments through to production models.

Responsibilities

• Apply data science methods in machine learning, statistics, text mining and NLP, forecasting and optimization across several analytics projects.
• Build models, algorithms, simulations and experiments by writing highly optimized code and using current machine learning technologies.
• Take work end to end, from running ML experiments to delivering production-ready models.
• Use data analysis, visualization, storytelling and data technologies to scope, define and deliver AI-based data products.
• Collaborate with developers, engineers and MLOps staff to deliver AI and ML solutions.

Requirements

• Hands-on experience building AI/ML models on complex datasets, with a solid grasp of the theory behind them.
• Expertise in most of the following: supervised learning, unsupervised learning, deep learning, reinforcement learning, federated learning, time series forecasting, Bayesian statistics and optimization.
• Experience writing deployable code and putting models into product development in an agile setting.
• Comfort working in cloud and high-performance computing environments such as AWS, GCP, Databricks or Apache Spark.
• Experience developing production-ready software.
• Strong written and verbal communication, business analysis, data visualization and data storytelling skills.
• A track record of working well in a team and across functions.
• You have deployed AI/ML solutions using state-of-the-art algorithms and robust lifecycle management, and you spot opportunities to improve.
• Expertise in core data science languages such as Python, R or Scala, and familiarity with SQL and NoSQL databases.
• Experience with disciplined AI/ML development practices, including CI/CD and orchestration.
• Knowledge of Tableau, Power BI, Plotly or similar tools.
• Experience with enterprise-level application programming interfaces (APIs).
• Nice to have: experience in life sciences or healthcare, and in a complex global organization.
• A bachelor's degree is required. A master's degree in mathematics, computer science, engineering, physics, statistics, economics or a related quantitative field with strong coding skills is preferred.
• At least 4 years of analytical experience is required.

Conditions

The role is based in Toronto, ON, on a hybrid model with 3 days per week onsite, which is required.

Open to applicants in North America only.

The salary range is 127,000.00 to 177,000.00, including target bonus.

Final pay depends on demonstrated experience, skills, location and other relevant factors.

The company provides equal opportunities regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.

Benefits

• A rewards package that recognizes your contribution.
• Health and wellbeing benefits, including high-quality healthcare and prevention and wellness programs.
• Career growth through promotion or lateral moves, at home or internationally.
• Eligibility for company employee benefit programs.