Data Scientist, Curves

Argus Media; São Paulo; Híbrido; BRL 120.000 - 180.000; Tempo integral

Resumo da oferta

A leading company in market intelligence is looking for a Data Scientist, Curves in São Paulo. The role entails developing R scripts, conducting market analysis, and contributing to AI capabilities within a hybrid working environment. Candidates should have advanced R and SQL skills, with a passion for data-driven solutions.

Serviços

Health Insurance – SulAmerica

Dental Insurance – SulAmerica

Life Insurance - Prudential

Pension Plan

Meal Voucher

Mobility Allowance

Pharmacy Allowance

Gym Subsidy

Parking

Qualificações

• Advanced R coding skills (3+ years) required.
• Good knowledge and experience of SQL expected.
• Experience in script development using version control essential.

Responsabilidades

• Develop efficient and scalable R scripts for ML and AI capabilities.
• Monitor markets and produce daily price assessments.
• Build relationships with traders and market figures.

Conhecimentos

Advanced R coding

SQL

Data analysis

Machine learning

Statistics

Formação académica

BA in statistics, computer science, finance, mathematics, engineering, or related STEM field

Ferramentas

Git

GitHub

Descrição da oferta de emprego

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AS WE ARE A MULTINATIONAL COMPANY, YOU MUST SUBMIT YOUR CV IN ENGLISH.

Argus is where smart people belong and where they can grow. We answer the challenge of illuminating markets and shaping new futures.

It will be expected to work from 13:00 to 21:00 about twice a week in a hybrid work schedule.

What We’re Looking For

As a data scientist, you will be responsible for keeping up to date on the latest research in the field of automatic machine learning and artificial intelligence and help guide the development of the Argus methodology, algorithms & studio. Much of the algorithms involves programming in R & SQL.

What Will You Be Doing

The primary focus of this role will be to make significant contributions to the development of versatile, readable, efficient and scalable R scripts. These will add 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

• Monitor and assess markets to produce daily price assessments, market analysis, news and reports.
• Daily contact with traders, brokers, investors and key market figures to build relationships and gather news.
• Find engaging ways to explain complex issues – including using charts and graphics as appropriate.
• Help to build and curate data sets that help explain market dynamics.
• Attend meetings, conferences and industry events to build contacts, report on news and represent Argus.
• Review existing and develop new methods for the Argus Possibility Curves.
• Review existing and develop new methods for Argus Forward Curves.
• Contribute to the development of the Argus DS Studio.
• Prototype algorithm techniques and run extensive benchmarks for all Argus DS products.
• Engage in discussions with stakeholders to ensure smooth development of the DS products and commercial launch.
• Maintain current knowledge of the AI technology landscape and be able to identify emerging methods or technologies and best practices.
• Contribute to the enhancement of the Argus AI/ML library for possibility & forward curves that can be used globally.
• 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 to ensure that the curves are available to the clients before the deadlines.
  
  

Skills And Experience

• BA in statistics, computer science, finance, mathematics, engineering, or related STEM field.
• Advanced R coding skills (3+ years).
• Good knowledge and experience of SQL.
• Have experience in script development using version control (Git and GitHub).
• Have experience with exploratory data analysis and model/algorithm prototyping, selection, and validation.
• Have a good understanding of statistics and be familiar with a range of machine learning regression models (linear regression, etc).
  
  

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.
• You are comfortable with visualising and communicating data to various audiences, you easily articulate and present your ideas.
  
  

What’s In It For You

Our rapidly growing, award-winning business offers a dynamic environment for talented, entrepreneurial professionals to achieve results and grow their careers. Argus recognizes and rewards successful performance and as an Investor in People, we promote professional development and retain a high-performing team committed to building our success.

• Pursuant to Brazilian current legislation and for so long as such legislation shall remain in force, you are entitled to receive:
• A Christmas bonus (also called “13th Salary”), equivalent to one monthly salary.
• A 30-day vacation period per year.
• A vacation payment equivalent to one-third of your monthly salary.
• A severance fund to de deposited in a special bank account (FGTS), in the amount of 8% of your monthly salary.
• Benefits
• Health Insurance – SulAmerica
• Dental Insurance – SulAmerica
• Life Insurance - Prudential
• Pension Plan
• Meal Voucher
• Mobility Allowance
• Pharmacy Allowance
• Gym Subsidy
• Parking
  

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 1,500 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. Founded in 1970, Argus remains a privately held UK-registered company owned by employee shareholders and global growth equity firm General Atlantic.

Argus is committed to ensuring career and personal growth for all its staff and provides extensive training and career development opportunities, as well as participation in employee-led initiatives, including a women’s network. Our core values are Excellence, Integrity, Partnership and Inclusivity.

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

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 1,500 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.

Founded in 1970, Argus remains a privately held UK-registered company owned by employee shareholders and global growth equity firm General Atlantic.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Information Services

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