Full Job Description
Job Title: Data Scientist
At Sandvik Asia Private Limited (Part of Sandvik Group), we offer you a world of opportunities. Our diverse businesses and global network enable you to explore your potential and thrive. So now we challenge you: Think one step further, and then take it!
Job profile
As Data Scientist, you are responsible for the execution of proof of concepts and implement projects in Advanced Analytics using Artificial intelligence or Machine learning or other quantitative techniques/algorithms for deriving business insights with measurable success.
The main responsibilities are as follows:
Research and develop analytical solutions for increasing reliability of our products through recommendations/insights and quantitative models.
Collaborate with product and engineering departments to understand company needs and devise possible solutions.
Keep up-to-date with the latest technology trends.
Communicate results and ideas to key decision makers.
Implement new statistical or other mathematical methodologies as needed for specific use cases or analysis.
Involved in developing next-gen analytical solutions or products.
Optimize joint development efforts through appropriate database use and project design.
Manage existing analytical solutions development and provide recommendations or insights to further enhance and add value to the existing solution.
Deliver analytics value by working closely with data engineering, product area, customers and larger data science community within the company to deliver value.
Your profile
You have a university degree in Mathematics, Software Engineering or another relevant field (or equivalent), and between 5-7 years of experience into data science. You have a solid track record of designing, developing and deploying analytical solutions. You have the needed experience with relevant ICT-technologies which we see are some of the following:
Strong and extensive hands-on experience with Artificial intelligence, Machine Learning, and Predictive Modeling techniques.
Strong and extensive hands-on experience with Python, Spark and SQL programming
Strong and extensive hands-on experience designing, developing analytical solutions using algorithms like Convolutional Neural Networks, Recurring Neural Networks, Long Short Term Memory, Logistic Regression, Decision Trees- CART & CHAID, Random Forest, Ridge & Lasso Regression, Clustering, Time series based forecasting techniques.
Strong and extensive hands-on experience to different optimizers and model optimization techniques.
Exposure to optimization algorithms including genetic algorithms
Strong and hands on experience working on image analytics, time series based Anamoly detection and optimization solution development
Strong and extensive hands-on experience with TensorFlow and Keras.
Strong and extensive hands-on experience with data preparation activities with both structured and unstructured data
Strong and extensive hands-on experience with feature engineering concepts and practices
Strong mathematical and statistical knowledge
Hands on experience with deploying algorithms into production environment and creating needed data pipelines for deployment.
Experience consuming and crunching data from environments like Azure Data Lake, Azure Blob storage, Azure SQL Database, SQL Server and other open source databases
Exposure to Azure Databricks
Experience handling both unstructured and structured data for analytics.
Hands-on experience with Power BI visualization tool.
Knowledge of data engineering and data modeling concepts.
You fit into a dynamic and fast-moving team within a business which has been around. You value the opportunity to work with both in-house R&D as well as with customers all around the world. You possess the ability to comprehend complex technical concepts quickly and focus on priorities. Experience in IOT space with exposure towards mining/construction or heavy machinery industry data is regarded as a merit. The ability to speak and write in English, as well as the willingness to travel, are prerequisites in this job.
We are a company with an open-minded culture, actively working to create a workplace that is characterized by diversity and inclusion. We offer you an interesting role in an international business environment as well as opportunities for your professional development.