Data Scientist
hace 2 semanas
Understanding existing sophisticated forecasting models both Machine Learning as well as classical Statistical Time Series Forecasting methods
- Improving existing Demand Forecasting statistical and machine learning methodologies by developing new data sources, testing model enhancements, running computational experiments, and fine-tuning model parameters for new forecasting models
- Drive continuous improvement in forecasting process and methodology by considering promotional tactics and activities, historical sales trends, new product introductions, flow of materials or pricing
- Identify specific and actionable opportunities to solve existing business problems in Demand Forecasting, through collaboration with forecast analysts, and business teams
- Train statistical models to solve noise issues, clusters, predictions, and causality, among others
- Provide guidance to the demand planners on the algorithms/methodologies in SAP IBP to be leveraged in the different categories and markets.
- Synthesizing and communicating insights and recommendations to audiences of varying levels of technical sophistication
- Continuously be aware on new data science & AI methodologies or products, and look for SC opportunities: from the ideation, creation of business cases, ROIs, being able to communicate proposals and solutions to be developed, until approval and production
- Generate dashboards that will allow the communication of the statistical solutions implemented, facilitating decision making
New challenge in a International company|Career progression
- University degree (preference for Statistics, Mathematics, Computer Science, Physics or another quantitative field)
- 2+ years of experience as a Data Scientist or any similar role (a least one year in non-academic positions)
- Proven experience in Machine Learning using Python, R, or Scala.
- Solid background in probability / statistic: hypothesis test, multiple linear regression, multinomial logistic regression, time series, etc
- Analytical and solution-oriented thinking skills
- Good team player with flexibility to learn and work outside of area of comfort
- Interpersonal skills with ability to build relationships and effectively collaborate with colleagues
- Understands dependencies and integration with other areas of the business
- An empathetic, inclusive and curious attitude
- Strong communication skills (verbal and written)
- Effectively communicate in English across verbal and written form
**Nice to Have**:
- Experience with data querying language (SQL)
- Experience with BI and data visualization tools will be an asset
- Experience with agile/scrum methodologies and its benefits of managing projects efficiently and delivering results iteratively
Top beauty and fashion company from Barcelona with offices in 25 countries and its products are distributed in more than 150 countries around the world.
- Hybrid model.
- Modern offices and magnificent working atmosphere.
- Opportunity for growth and to work at the global level.
- Social benefits
- etc...
Demand Planning Data Scientist Executive to join our S&OP Business Process Expert Team.
Innovative projects on the digital transformation of our supply chain. He/she will help to maximize the performance of the organization through the implementation of processes and/or tools to improve forecast accuracy and data quality, as well as reporting and analytics tools to facilitate decision making in the S&OP process.
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