Data Scientist - Demand Forecasting

About the job

Job Description ------------------------------------------------ Data Scientist - Demand Forecasting We are recruiting a Data Scientist with strong analytical and communication skills to join our team. The forecasts generated are used to initiate the manufacturing of millions of dollars in inventory, establish labour shifts, and estimate the company’s future financial performance. The work is complex and of considerable importance with regards to optimisation and automation. As part of our data science team, you will research and implement inventive, scalable machine-learning solutions, with a strong focus on driving improvements directly into production systems. The ideal candidate will demonstrate a culture of analytical ‘curiosity’ and provide novel data driven insights on business questions. Key Responsibilities A typical day will involve collaborating with software engineers and business groups. Your work will involve utilizing Python and SQL to implement and improve upon demand forecasting algorithms, by testing model improvements, running computational experiments, and fine-tuning model parameters. Deployment of sophisticated multivariate algorithms will improve upon existing approaches and discovering new data sources to further build upon current capabilities. As a successful data scientist in demand forecasting, you would be an analytical problem solver who enjoys diving into data, is passionate about investigations and algorithms, and can credibly interact between technical teams and business partners. A key capability in the collaboration is to have users of the forecasts understand how it is built up, its expected behaviour and what is and is not considered, thus building trust in the models to drive usage. Requirements • Master's degree in a quantitative field such as Data Science, Statistics, Applied Mathematics, Physics, Computer Science or Engineering • At least 5+ years of relevant working experience in an analytical role involving data extraction, analysis and statistical modelling • Advanced skills with statistical/programming in Python and data querying languages (e.g., SQL, Hadoop/Hive, Scala) • Solid understanding of time-series forecasting techniques • Good hands-on skills in both feature engineering and hyperparameter optimization • Able to write clean and tested code that can be maintained by other software engineers • Able to clearly summarize and communicate data analysis assumptions and results • Able to craft effective data pipelines to transform your analyses from offline to production systems • Self-motivated and a proactive problem solver who can work independently and in teams • Connects both externally and internally to understand industry trends, technology advances and outstanding processes or solutions • Is collaborative and engages (strategic & tactical). Able to influence without authority, handle complex issues and implement positive change • Proficiency in English • Travel Requirements: up to 20 percent travel internationally Preferred Qualifications • Outstanding verbal and written communication skills with the ability to effectively advocate technical solutions to engineering and business teams • Supply chain experience • Visualisation packages • Azure platform knowledge • Experience in building APIs