By joining KAZ Minerals as a Data scientists, you will be :
Solving the most complex and practical tasks of the Metals and Mining industry, the key economy sector of Kazakhstan, with immediate impact on operations.
The industry has been accumulating enormous operational data, but lagging behind using these data for an educated decision making based on the power of advanced analytics and artificial intelligence.
Taking a part in building a Digital and Analytics arm of the most advanced M&M company in Kazakhstan, creating impact-oriented culture without bureaucracy.
KAZ Minerals is aiming to become the most innovative and digitally driven mining companies in Kazakhstan, and have started the development of artificial intelligence solution to optimize its production.
The company plans to build the team of best data scientists, who would like to lead this direction.
Implementing advanced analytics solution might require some business trips to the Operations sites in Eastern and Northern parts of Kazakhstan, where you will be working with the experienced international and local miners and metallurgists.
JOB DUTIES :
Applies deep expertise in machine-learning, data mining, and information retrieval to design, prototype and build the next generation advanced analytics engine and services.
Understands business problems and designs end to end analytics use cases.
Develops complex models and algorithms that drive innovation throughout the organization. This may include improving on-time performance, network planning, etc.
Conducts advanced statistical and other analysis to provide actionable insights, identify trends, and measure performance.
Provides coaching and insight on analytic approaches and can objectively weigh trade-offs of different analytic methods.
Guide data engineering efforts to ensure alignment with future data science needs.
Provides guidance to business leaders and data engineering function highlighting data integrity risks.
Collaborates with analytics engineers to implement and deploy scalable solutions.
Provides thought leadership by researching best practices, conducting experiments, and collaborating with industry leaders.
Acts as a change agent
SKILLS AND QUALIFICATION REQUIREMENTS
MS / PhD in computer science, statistics, economics, mathematics, ops research or related technical discipline
2-3 years’ experience in a statistical and / or data science role (3-5 years for Senior Data Scientist)
Deep knowledge of machine learning, statistics, optimization, or related field.
Experience with Python and / or R is required.
Background in programming in C, C++, Java is beneficial.
Experience with SQL, Spark, Pandas, Numpy, SciPy, Statsmodels, Stan, pymc3, Caret, Scikit-learn, Keras, TensorFlow, Pytorch is beneficial.
Experience working with large data sets, simulation / optimization, and distributed computing tools (Map / Reduce, Hadoop, Hive, Spark, Gurobi, Arena, etc.)
Experience working in AI startup environment or organizations with an agile culture.
Experience in the Metals and Mining industry is beneficial
Professional attitude and service orientation; superb team player
Good written and verbal communication skills along with strong desire to work in cross-functional teams.
Able to build a sense of trust and rapport that creates a comfortable & effective workplace, collaborative.
Open minded to new approaches and learning
Please send your CV for humanresources kazminerals.com