Your purpose

As a Staff Data Scientist, your primary goal is to translate concepts into machine learning products that directly benefit our users. You'll spearhead impactful data science initiatives throughout the project life cycle, from initial requirements gathering and stakeholder alignment to model creation, deployment, and ongoing performance monitoring and refinement. Your leadership within the ML team will be pivotal, as you'll serve as a role model for your colleagues.

You'll be instrumental in tackling diverse use cases spanning pricing, targeted marketing, risk management, revenue forecasting, recommendation systems, cost optimization, inventory modeling, and more, always maintaining a balance of precision and efficiency. Drawing from your expertise across various disciplines—including Econometrics, Probability, Statistics, ML, and GenAi—you'll swiftly adapt to new algorithms and collaborate seamlessly across different departments within Bitso to deliver value to our users.

Additionally, you'll take on a mentoring role, guiding junior data scientists in enhancing their model-building skills and adhering to best practices. Beyond the confines of the data science team, you'll leverage your strategic acumen and excellent communication skills to advocate for initiatives that extend the impact of data science across Bitso.

Who you are

• Have a degree in a quantitative field such as mathematics, data science, actuarial science or economics.
• An advanced degree (Masters or Ph.D.) in Mathematics, Computer Science, Data Science, or Machine Learning and 3+ years of industry experience or 5+ years of experience as a data scientist.
• A proven track record of machine learning solutions that translated into value.
• Experience in both supervised and unsupervised modeling.
• Strong proficiency in SQL.
• Strong proficiency in R or python.
• Understanding of big data manipulation tools such as Spark or Koalas.
• Strong ability to stay current on the latest advancements of machine learning and AI.
• Understanding of software engineering best practices, including version control, code reviews and automatic testing.
• Strong communication skills and the ability to convey complex technical concepts to both technical and non-technical stakeholders.

Nice to have

• Understanding of quantitative finance techniques such as time series analysis and extreme value theory.
• Understanding of monte carlo and markov chain techniques
• MLOps best practices experience.
• Databricks experience.
• Experience with GenAi modeling flows.

What you’ll do

• Lead data science projects: find new opportunities for projects where machine learning might move the needle.
• Analyze large datasets to find customer segments, definitions or hidden opportunities.
• Design end to end machine learning solutions: create classic machine learning models and GenAi models that are production ready.
• Collaborate with non technical stakeholders to arrive at the best solution to given problems/opportunities.
• Maintain and create new versions of current machine learning models in production
• Contribute to the machine learning infrastructure alongside other data scientists and machine learning engineers.
• Monitor and troubleshoot production ML deployments, identifying and resolving issues in a timely manner.
• Stay up to date on advancements in ML technologies, MLOps, LLMOps, sharing knowledge within the team and contributing to skill development of other data scientists.

Research in Diversity, Equity, and Inclusion suggests that individuals may hesitate to apply for jobs if they do not meet all the listed criteria. At Bitso, we value diversity and your unique strengths could be just what we're looking for. If this role excites you but you don't match every point in the description, we still want to hear from you.

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