Data Scientist - Demand Forecasting

VCreaTek is 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