Sr. Data Scientist - Forecast (São José dos Campos/SP)

Ball Aerospace; Brasil; Presencial; BRL 180 000 - 240 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Hybrid on-site work (3 days/week)

Resumo da oferta

Ball Corporation in Brazil is seeking a highly analytical Senior Data Scientist to lead forecasting and predictive analytics initiatives that drive business performance.

You will partner with Sales, Marketing, Finance and Supply Chain to translate complex data into actionable insights, establish best practices, and design scalable forecasting solutions. The role features a hybrid work arrangement with on-site collaboration three days a week.

Qualificações

• Bachelor's or Master's degree in Statistics, Mathematics, Engineering, Computer Science, Data Science, or a related quantitative field.
• Proven experience in Data Science, preferably focused on forecasting, predictive analytics, or demand planning.
• Strong expertise in time series forecasting techniques, including ARIMA, SARIMA, Prophet, and related methodologies.

Responsabilidades

• Design, develop, and deploy advanced statistical and machine learning models to improve demand forecasting accuracy and responsiveness.
• Drive forecasting excellence by establishing scalable methodologies, frameworks, and best practices.
• Partner with Sales, Marketing, Finance, and Supply Chain teams to integrate multiple data sources and improve end-to-end demand visibility.
• Translate complex analytical findings into clear business recommendations and strategic insights.
• Analyze demand patterns, customer behavior, and market dynamics to support business planning and decision-making.
• Incorporate external factors such as macroeconomic indicators, pricing trends, and weather data into predictive models.
• Monitor forecast performance using key metrics such as MAPE, Bias, and Forecast Value Added (FVA).
• Lead root-cause analysis of forecast deviations and implement corrective actions to improve accuracy.
• Drive continuous improvement initiatives to enhance forecasting processes, model performance, and business outcomes.

Conhecimentos

Time series forecasting

Python

SQL / PySpark

Power BI

Formação académica

Bachelor's or Master's in a quantitative field

Ferramentas

PySpark

SQL

Power BI

ARIMA/SARIMA/Prophet

Descrição da oferta de emprego

Empresa: Ball Corporation

At Ball, integrity and trust are the foundation of who we are. Guided by our core values — \"We Care. We Work. We Win.”— we create a culture where every voice matters and every idea drives progress.

Together with our global employees, customers, and partners, we’re turning bold sustainability goals into reality and shaping a future we can all be proud of.

Create a new future.

Overview

We are looking for a highly analytical and business-oriented Senior Data Scientist to join our team in Brazil. In this role, you will lead the development and implementation of advanced forecasting and predictive analytics solutions that drive business performance and strategic decision-making.

You will work closely with cross-functional teams, including Sales, Marketing, Finance, and Supply Chain, transforming complex data into actionable insights while helping shape forecasting best practices across the organization.

Responsibilities

• Design, develop, and deploy advanced statistical and machine learning models to improve demand forecasting accuracy and responsiveness.
• Drive forecasting excellence by establishing scalable methodologies, frameworks, and best practices.
• Partner with Sales, Marketing, Finance, and Supply Chain teams to integrate multiple data sources and improve end-to-end demand visibility.
• Translate complex analytical findings into clear business recommendations and strategic insights.
• Analyze demand patterns, customer behavior, and market dynamics to support business planning and decision-making.
• Incorporate external factors such as macroeconomic indicators, pricing trends, and weather data into predictive models.
• Monitor forecast performance using key metrics such as MAPE, Bias, and Forecast Value Added (FVA).
• Lead root-cause analysis of forecast deviations and implement corrective actions to improve accuracy.
• Drive continuous improvement initiatives to enhance forecasting processes, model performance, and business outcomes.

Requirements

• Bachelor's or Master's degree in Statistics, Mathematics, Engineering, Computer Science, Data Science, or a related quantitative field.
• Proven experience in Data Science, preferably focused on forecasting, predictive analytics, or demand planning.
• Strong expertise in time series forecasting techniques, including ARIMA, SARIMA, Prophet, and related methodologies.
• Hands-on experience with machine learning algorithms such as Random Forest, XGBoost, and other predictive models.
• Proficiency in Python for data analysis, modeling, and automation.
• Experience handling large datasets and building data pipelines as SQL, PySpark, or similar technologies.
• Experience with data visualization and reporting platforms, such as Power BI.
• Ability to communicate technical concepts effectively to business stakeholders.
• Intermediated English proficiency.

Additional Information

• Hybrid On-Site Work Environment: This position requires regular in-person engagement by working on-site for three (3) days per work week (with core collaboration days of Tuesday, Wednesday and Thursday).

Ball Corporation is proud to be an Equal Opportunity Employer. We actively encourage applications from everybody. All qualified job applicants will receive consideration without regard to race, color, religion, creed, national origin, aboriginality, genetic information, ancestry, marital status, sex, sexual orientation, gender identity or expression, physical or mental disability, pregnancy, veteran status, age, political affiliation or any other non-merit characteristic.

Please note the advertised job title might vary from the job title on the contract due to local job title structure and global HR systems.

* This position will be posted internally for a minimum of 5 days and will remain open until filled or adjusted based on the volume of applicants.