Business Area Sandvik Mining and Rock Solutions is a global leading supplier in equipment and tools, parts, service and technical solutions for the mining and construction industries. Applications include rock drilling, rock cutting, loading and hauling, tunnelling and quarrying. Parts & Services Division is now looking for a Data Scientist to support the growing demand for analytics. You will be designing and building market leading solutions to boost the business of internal and external customers. This position full-time, permanent and based in Tampere, Finland.
What difference will you make?
As a Data Scientist, you are responsible for developing advanced analytics solutions. You work with Data Engineers, Software Developers and other subject matter experts to gain and share insights into data. Your role contributes directly to improving fleet’s productivity, safety and sustainability. Your produced results will help reduce energy usage and material wastage. You will report to the Productivity & Reliability Centre Manager.
Your main responsibilities will include
- Build state-of-the-art predictive models and algorithms to support operations and business decisions
- Design real-time anomaly detection based on time-series modelling
- Combine telemetry, maintenance and logistics data to develop valuable insights and solutions
- Proactively identify and champion solutions that solve complex problems across multiple data sources
- Participate in the design and execution phase of data pipelines
Strong mathematical & analytical background and good coding and machine learning skills are key to succeed in this role. You have a Master’s/PHD degree in applied physics/mathematics or computer/data science. You have the curiosity to explore new ideas and develop them into robust solutions in collaboration with the team. You have the needed skills and qualities to work in analytics, including:
- Knowledge of applied analytics and machine learning methods
- Curious mind and ability to work independently
- Knowledge of data modelling and database technologies
- Experience in working with common visualization tools
- Previous experience in software development and data engineering is seen as a distinct advantage.
You value the opportunity to work with both in-house R&D as well as with monitoring experts around the world to create new analytics solutions. Experience in mining/construction or heavy machinery industry is welcome. You are confident in presenting to different audiences, influencing others, and collaborating across organizations, cultures, and geographies. Strong knowledge of written and spoken English is essential.
What is it that we offer?
You'll be joining a cohesive and powerful global team that thrives in an entrepreneurial, fast-paced and dynamic environment. Sandvik offers a collaborative and supportive culture that will suit people who love autonomy and don’t want to be held back. Your professional development will be actively encouraged whenever you wish to broaden your expertise or growth into a leader. At Sandvik, we believe that diversity of experience, perspective and background will lead to a better environment for our employees, our business and, thereby, our customers. We have an inclusive company culture where our values are Innovation, Fair Play, Customer Focus and Passion to Win. Visit our stories hub, LinkedIn or Facebook to get to know us better.
Diversity, Inclusion & Sustainability
Sandvik has a developed belief in conducting our business in a sustainable and responsible manner, both for our employees and the environment, wherever in the world we operate. We are committed to using engineering and innovation to make the shift that will drive more sustainable business. The Global Remote Monitoring Specialist will be directly contributing to our sustainability shift where building circularity, climate shift, championing people and play fair are championed. To see the true examples of Sandvik’s sustainability stories please follow this link.
The safety and well-being of our employees, build the foundation of how we work today. We also recognize the importance of inter-personal relationships and how those based on honesty, respect and trust, enhance our working lives and help each other’s growth and career development.
For further information about this position, please contact the recruiting manager: Esa Mattila, Productivity & Reliability Centre Manager, Parts & Services Division, email: [email protected] and Jukka Huhtamäki, Data Scientist, email: [email protected]
For more information about the recruitment process, please contact: HR Services Finland, tel. 4444 or +358 (0)800 1 44444 (at 8-16 EEST).
Want to join our Data Science team?
Submit your application at sandvik.com/careers Sunday March 26th, 2023.
Your application should consist of an introductory letter including your salary request and a CV (in English).
If you wish to add a cover letter to your application, please make sure to attach the file when uploading your CV.
Job ID: R0051748