Endeavour Mining (EDV) is a leading global gold producer focused on West Africa with over 7,000 employees. The Company is currently in the process of rolling out an ambitious digital transformation program to promote innovation, boost operational excellence, and deploy cuttingedge technology capabilities. EDV is looking to recruit highly motivated and skilled technical professionals over the next few months to join its digital office and champion this digital transformation. The successful candidate will build models and perform analysis with advanced Analytics techniques and will: • Draw insights from large or complex data sets, and build platforms for others to analyze data sets • Be a key player in designing, building and implementing analytical solutions, acting as a Data Science & Advanced Analytics expert • Drive global improvements by investigating various topics and sharing insights to a broader audience
The company – about Endeavour
Endeavour is a leading global gold producer and the largest in West Africa with two mines in Côte d’Ivoire (Ity and Lafigué), two mines in Burkina Faso (Hounde and Mana) and the Sabodala-Massawa mine in Senegal. The company has one of the most exciting organic growth track records and pipeline, with a strong portfolio of development exploration assets on the highly prospective Birimian Greenstone Belt across West Africa. Endeavour is committed to principles of responsible mining and delivering sustainable value to its employees, stakeholders and the communities where it operates.
The role
Endeavour Mining (EDV) is a leading global gold producer focused on West Africa with over 7,000 employees. The Company is currently in the process of rolling out an ambitious digital transformation program to promote innovation, boost operational excellence, and deploy cuttingedge technology capabilities. EDV is looking to recruit highly motivated and skilled technical professionals over the next few months to join its digital office and champion this digital transformation.
The successful candidate will build models and perform analysis with advanced Analytics techniques and will:
- Draw insights from large or complex data sets, and build platforms for others to analyze data sets
- Be a key player in designing, building and implementing analytical solutions, acting as a Data Science & Advanced Analytics expert
- Drive global improvements by investigating various topics and sharing insights to a broader audience.
Key responsibilities
General
- Interact with the business divisions to understand all data requirements • Define criteria for monitoring integrity of data modelling during projects
- Drive data modelling and testing during projects
- Carry out quality assurance of analytics tools & methods used in projects
- Apply strong expertise in machine-learning, data mining, and information retrieval to design, prototype, and build the next-generation analytics
- Develop best practices for analytics (models, standards, tools).
- Track impact of analytics on business
- Work with senior IT and Business leaders providing technical guidance related to data architecture, data models and meta data management.
Safety Management
- Demonstrate personal commitment regarding safety and environmental and Social Responsibility practices.
- Ensure every person within the team is fit for work
- Ensure that agreed procedures, safeguards and controls are applied and used
- Ensure all activities are conducted safely and in accordance with Company standards and procedures
- Ensure hazard management plans are observed
- Keep statutory and internal reporting as required.
Position requirements
- Master’s degree in computer science, Statistics, Econometrics, Big Data and Data analytics/engineering
- 2+ years’ experience in a statistical and/or data science role
- Expertise in advanced analytical techniques such as descriptive statistical modelling and algorithms, machine learning algorithms, optimization, data visualization, pattern recognition.
- Experience using analytical tools and languages such as Python, R, etc.
- Experience using analytical tools and languages such as Java, C, C++, C#, MATLAB, SPSS IBM, Tableau, QlikView, Rapid Miner, Apache, Oracle, or SQL-like languages
- Experience working with large data sets, simulation/optimization, and distributed computing tools (e.g., Hive, Spark, ...)
- Proficient French and English language skills
- Knowledge of industry and ability to translate business needs into data
- Experience working in multicultural environment, preferably in West Africa
- Ability to manage multiple projects and tasks at the same time
- Ability to respond to a changing work environment
- Reputation for integrity and ethics.