Lead Data Scientist EMIRATES GLOBAL ALUMINIUM (EGA)

Job Description

Roles & Responsibilities

Desired Candidate Profile

QUALIFICATIONS & SKILLS:

Minimum Qualifications:

• BSc or preferably MS/PhD(Computer Science or Electronics), or MS in Computer Applications, Statistics or Mathematics or related technical discipline
• Minimum Programming languages knowledge in Python, R, Java and SQL

Minimum Experience:

• 5+ years’ relevant experience in data science, statistical and business intelligence role
• Should have domain knowledge of metal and mining or energy or heavy industry or oil and gas experience or a combination of these industries.
• Experience in machine learning, statistics, optimization or related fields; deeper experience in working with large data sets, simulation/ optimization or distributed computing tools is a plus
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
• Experience of working with large data sets relational databases (SQL), simulation/ optimization and distributed computing tools (Map/Reduce, Hadoop, Hive, Spark, MySQL etc.) is required.
• Experience of visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, Power BI, Tableau etc is required
• Knowledge of additional programming languages is a plus (C++, Java, SPSS, SAS, Scala)
• Working knowledge of data mining principles: predictive analytics, mapping, collecting data from multiple data systems on premises and cloud-based data sources.
• Data treatment/Data mining, e.g. SQL, AWK, Access, Spark, Excel is required.
• Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations for business units.
• Strong knowledge of one or more data science or decision science domains (e.g. explainable artificial intelligence, econometrics, deep learning, Natural Language Processing, time series forecasting, deployment, causal inference, uplift modelling, and/or optimization)
• Knowledge of distributed computing or NoSQL technologies is a bonus
• Experience working with and creating data architectures.
• Experience in automation & control system and training in similar fields is valued.
• Good working knowledge of industry 4.0 application, big data, autonomous robots, system integration, cloud computing, additive manufacturing, augmented reality etc.

Skills:

Agile/Digital skills:

• Deep knowledge of machine learning models/ techniques (incl. setup, structure, run, stabilize and implement models)
• Strong understanding of Agile methodologies
• Openness to working in Agile environments with multiple stakeholders

Individual skills:

• Strong analytical and problem-solving skills
• Professional attitude and service orientation; team player
• Good verbal and written communication skills
• Quick learner to business needs and translate them into potential analytics solutions

Mindset & Behaviors:

• Strong work ethic; ability to work at an abstract level and gain consensus
• Able to build a sense of trust and rapport that creates a comfortable and effective workplace
• Attitude to thrive in a fast-paced environment
• Open minded to new approaches of learning