Data Scientist
Teknik, data och digitalt · Data, AI och analys · Datavetenskap
I korthet
Sandvik Mining and Rock Solutions is looking for a Data Scientist to develop advanced analytics solutions in Tampere, Finland. The role involves designing and building market-leading solutions using data from telematics, maintenance, and logistics, reporting to the Productivity & Reliability Centre Manager.
Ansvarsområden
- Building dashboard solutions based on customer requests.
- Combining telemetry, maintenance, and logistics data to develop valuable insights and solutions.
- Participating in design of real-time anomaly detection based on time-series modelling.
- Participating in the design and execution phase of data pipelines.
- Proactively identifying and championing solutions that solve complex problems across multiple data sources.
- Building state-of-the-art predictive models and algorithms to support operations and business decisions.
Krav
- Strong mathematical & analytical background.
- Good coding skills.
- Degree in applied physics/mathematics or computer/data science.
- Proficiency in Excel.
- Experience in working with analytics tools and programming languages such as Python (Pandas, Pyspark, Plotly).
- Experience in working with common visualization tools like PowerBI including M-Query, DAX and native queries in SQL.
- Basic knowledge of statistics including data cleaning and manipulation.
- Curious mind and ability to work independently.
- Strong knowledge of written and spoken English is essential.
Önskade kvalifikationer
- Programming skills with JavaScript and Grafana.
- Knowledge of data modelling and database technologies.
- Basic knowledge of applied analytics and machine learning methods.
- Previous experience in software development and data engineering.
- Experience in mining/construction or heavy machinery industry is welcome.
- Confident in presenting to different audiences, influencing others, and collaborating across organizations, cultures, and geographies.
Förmåner
- Cohesive and powerful global team.
- Entrepreneurial, fast-paced and dynamic environment.
- Collaborative and supportive culture.
- Autonomy and freedom to innovate.
- Professional development actively encouraged.
- Opportunity to broaden expertise or grow into a leader.
- Commitment to diversity of experience, perspective and background.
- Inclusive company culture.
#data science#analytics#python#powerbi#sql#machine learning#data engineering