Valor Capital Group
Valor Capital Group

Staff Data Scientist



Data Science
Latin America
Posted on Tuesday, May 14, 2024

Working At Bitso

We are a diverse team that takes pride in understanding the perspectives of others. We fully embrace working remotely and we are eager to act, improve and accelerate progress inside and outside of our organization.

To drive revolutionary changes in society and make crypto useful, we delight our customers with world-class products, deep care, and intentional empathy.

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.


Who We Are

With over 7 million users, Bitso is the leading cryptocurrency platform in Latin America. We are developing the cryptocurrency ecosystem in the region and enabling financial inclusion. We believe crypto is the future of finance, and we’re committed to making it useful by providing equal access to safe and intuitive financial products.

We are here to make a lasting impact on our customer’s lives and we do so by embracing our core values:

  • Be Human: we delight our customers through great products, deep care and true empathy. We are humble and we take pride in understanding the views of others to help us see the full picture.
  • Drive Change: we're fearless pioneers committed to unlocking the crypto revolution for humanity. We move fast, take risks and work together to drive lasting impact.
  • Choose Bold Honesty: we seek the truth, especially when it’s uncomfortable, in our teams, products and business reality because that will uncover where we need to focus.
  • Be An Owner: our sense of urgency makes us have a bias towards action, where we prioritize exceptionally and are wise in allocating our time to ensure we always deliver creative and innovative results.

Learn more about our culture and values.

Compensation & Benefits

At Bitso, you are taking the front seat on the edge of crypto innovation, creating the next generation of crypto-powered products.

So for those willing to commit, adapt and pioneer the most important change of the century we offer:

  • Me Time program, including unlimited paid time off.
  • Remote-first work environment.
  • Employee Stock Option program.
  • Zero trading fees through our Bitso app.
  • Extended Family Leave policy: all birthing parents, non-birthing parents and adopting parents are eligible for a 4-months leave.
  • Premium health, dental and life insurances in Mexico, Brazil and Argentina.
  • Volunteering days.
  • Monthly stipend for gym memberships, relaxation activities, sports equipment, cooking classes, books, entertainment and more.

Want to leave an undoubtedly legacy with us? Fasten your seatbelt and join this spaceship, where you will find exponential growth and the opportunity to thrive!

  • These are the applicable requisites, although equivalent competencies in any of the above will also be considered.
  • This role is expected to work remotely.
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