Senior Data Scientist

Senior Data Scientist

Be a pioneer in business, education, and global impact by joining the team - a “startup with assets,” where you will have the chance to deploy cutting-edge digital- and emerging-technology education solutions. Where else can you make a difference at the intersection of cutting-edge technology, world-class education, noble purpose, and timeless legacy?

Duties and Responsibilities:

• Develop analytical models and solutions / production-ready algorithms that solve real business problems, taking into account business needs and technology/operations landscape; lead interaction with internal stakeholders and technology on specific projects and initiatives.
• Apply data science, machine learning, and AI techniques to derive business value from the full range of internal and external data sets in a cloud environment.
• Build data science pipelines from feature generation, data visualization and models evaluation; design the solution, build initial code and provide documentation with ways of working to maximize time to value and re-usability.
• Translate complex data and methodology into strategic, operationally feasible insights and recommendations; automate implementation.
• Communicate clearly and effectively to technical and non-technical audiences, verbally and visually, to create understanding, engagement, and buy-in.
• Identify trends and opportunities to drive innovation, both in what we do and how we do it; evaluate new data science, machine learning, and AI technologies and tools that can boost team performance, innovation and business value.
• Embody the values and passions that characterize the organization, with empathy to engage with colleagues from a wide range of backgrounds.
• Promote data science, machine learning, AI, and digital and emerging technologies in relevant channels through community engagement, networking, speeches, and publications as applicable.
• Complete other responsibilities as assigned.

Qualifications:

• 3-5 years post-secondary education or relevant work experience.
• Advanced degree in mathematics, physics, computer science, engineering, statistics, or an equivalent technical discipline.
• 2-3 years experience in developing machine learning models with a track record of creating meaningful business impact and working with multiple stakeholders.
• 3-5 years experience with Python and SQL.
• Experience with cloud computing platform AWS.
• Expertise in multivariate statistical modeling (e.g. clustering, regression, principal components and factor analysis, time-series forecasting, Bayesian methods) and machine learning (Random Forest, KNN, SVM, boosting and bagging, regularization etc.).
• Proficiency with data visualization tools (D3.js, R Shiny, Looker, Streamlit, or similar).
• Experience operationalizing end-to-end machine learning applications.

Other Preferred Qualifications:

• Experience with neural networks, deep learning, and reinforcement learning, using frameworks such as TensorFlow. Experience with Natural Language Processing (NLP), Large Language Models (LLMs), and/or Recommendation Engines.

We Offer:

• 100% remote job.
• Long term job.
• Stability.
• Carreer path.
• English leassons.
• Other benefits.