Senior Data Scientist, Curves Location: São Paulo - Brazil
About Argus Argus is the leading independent provider of market intelligence to the global energy and commodity markets.
We offer essential price assessments, news, analytics, consulting services, data science tools and industry conferences to illuminate complex and opaque commodity markets.
Headquartered in London with over 1,400 staff, Argus is an independent media organisation with 30 offices in the world's principal commodity trading hubs.
Companies, trading firms and governments in 160 countries around the world trust Argus data to make decisions, analyse situations, manage risk, facilitate trading and for long-term planning.
Argus prices are used as trusted benchmarks around the world for pricing transportation, commodities and energy.
Argus Media is committed to ensuring career and personal growth for all its staff and provides extensive training and career development opportunities.
Our core values are Excellence, Integrity, Partnership and Inclusivity.
What we're looking for As a senior data scientist, you will be responsible for developing high-quality, scalable, and well-documented R scripts, keeping up to date on the latest research in automatic machine learning and artificial intelligence, as well as best coding practices to help guide the development of Argus methodology, algorithms, and dashboards.
Our algorithms involve programming in R & SQL.
We are looking for a person with strong problem-solving skills who knows how to code and what to code, and who is able to discuss the best way of implementing a given methodology.
Additionally, you will contribute to the enhancement of Argus' capabilities and infrastructure for offering data science solutions for time series forecasting.
You must also be comfortable engaging in discussions and effectively communicating ideas in English, as at least 75% of our meetings are with non-Portuguese speakers.
What is involved The primary focus of this role will be to make a significant contribution to the development of versatile, readable, efficient, and scalable R scripts.
These will contribute to the development of Argus' Automatic Machine Learning (ML) and Artificial Intelligence (AI) capabilities.
Contributions also include the development and operational support of all the Argus data science (DS) products with a particular focus on forward curves, possibility curves, and our dashboards.
Key Responsibilities Develop R scripts that implement methodologies for the calculation of forward curves. Discuss these methodologies with key global stakeholders (market specialists, reporters, traders, brokers, etc.)
to ensure smooth development of the DS products and commercial launch. Monitor and assess markets to suggest improvements to these methodologies. Review existing and/or develop new machine learning models for time series forecasting. Review existing and/or develop new models for solving optimization problems. Maintain documentation per company standards. Write scalable production-level code. Develop R Shiny apps. Write unit tests. Criticize code and review Pull Requests. Find engaging ways to explain complex issues – including using charts and graphics as appropriate. Help build and curate data sets that help explain market dynamics (using R and SQL). Prototype algorithm techniques and run extensive benchmarks for all Argus Data Science products. Monitor the production processes for the Argus DS products (such as possibility curves, forward curves, and the Studio), identify if any issues arise and fix them on the fly to ensure that the curves are available to the clients before the deadlines.
Work Schedule YOU WILL BE EXPECTED TO WORK FROM 13:00 TO 21:00 IN A HYBRID WORK SCHEDULE (3 DAYS IN THE OFFICE).
Skills and Experience BA in statistics, computer science, finance, mathematics, engineering, or related STEM field. Advanced R coding skills (3+ years). Experience in writing scalable, production-level R scripts. Experience in creating and maintaining R packages. Experience in developing R Shiny apps. Good knowledge and experience of SQL. Experience in script development using version control (Git), unit testing, Jira, and Confluence. Experience with exploratory data analysis and model/algorithm prototyping, selection, and validation. Good understanding of statistics and familiarity with a range of machine learning regression models (linear regression, etc). Good understanding of time series forecasting techniques. Attributes Ability to engage in discussions and effectively communicate ideas in English. Maker mindset & self-directed. Passion for open source. Critical thinker. Team player. Comfortable working in a fast-moving environment with changing requirements. Strong problem-solving skills, able to think deeply about a business problem and devise a well-thought-out and pragmatic algorithmic solution. Comfortable with visualising and communicating data to various audiences. Differentials Knowledge of commodity markets. Knowledge of probabilistic forecast methods. Knowledge of data drift and model drift. What's in it for you We know we require a lot from you, but we compensate you accordingly with a competitive salary and company bonus scheme.
Argus recognizes and rewards successful performance and promotes professional development.
Moreover, our rapidly growing, award-winning business offers a dynamic environment for talented, entrepreneurial professionals to achieve results and grow their careers.
Benefits Health Insurance – SulAmerica Dental Insurance – SulAmerica Life Insurance – Prudential Pension Plan Meal Voucher Mobility Allowance Pharmacy Allowance Gym Subsidy Parking For more details about the company and to apply, please make sure you upload your CV via our website: www.argusmedia.com/en/careers/open-positions By submitting your job application, you automatically acknowledge and consent to the collection, use and/or disclosure of your personal data to the Company.
Argus is an equal opportunity employer.
We welcome and encourage diversity in the workplace regardless of race, gender, sexual orientation, gender identity, disability or veteran status.
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