Data Scientist - Quality & Assurance
Experis AS
- Frist 30.5.2019
- Ansettelsesform Prosjekt
Data Scientist with experience in QA?
Our client within the oil & gas industry has a highly engaged top management team with a commitment to LEAN as part of the strategic change agenda. Reducing cost of poor quality and striving for the right quality is an essential part of this. But to do this, they need more people like you.
The Data Scientist will be part of the Quality & Assurance team, which provides functional support for reducing quality cost and for maintaining the 3 lines of defence to prevent unwanted events. The quality and assurance team work closely with the central lean deployment team on quality cost and the business units on assurance activities to uphold the three lines of defence.
The main purpose of the Data Scientist is to support implementation of the Cost of Quality Framework.
We are looking for someone who can analyse large amounts of raw information to find patterns that will help improve our client. We will rely on you to build data products to extract valuable business insights.
In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research.
Your goal will be to help the company to analyze trends related to Cost of Quality to make better decisions.
Responsibility and tasks:
Provide general Quality Assurance oversight and support to the assigned business unit
• Identify valuable data sources and automate collection processes
• Undertake preprocessing of structured and unstructured data
• Analyze large amounts of information to discover trends and patterns
• Develop custom data models and algorithms to apply to data sets
• Build predictive models and machine-learning algorithms
• Develop company A/B testing framework and test model quality
• Combine models through ensemble modeling
• Present information using data visualization techniques
• Propose solutions and strategies to business challenges
• Coordinate with different functional teams to implement models and monitor outcomes
Professional experience:
• Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets.
• Experience working with data architectures.
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Knowledge of statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
• Excellent written and verbal communication skills for coordinating across teams.
• A drive to learn and master new technologies and techniques.
We’re looking for someone with 5-7 years of experience manipulating data sets and building statistical models, has a Master’s or PHD in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the following software/tools:
• JavaScript, etc.
• Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
• Experience querying databases and using statistical computer languages: R, Python, SQL, etc.
• Experience using cloud computing.
• Experience creating and using machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
• Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, MySQL, etc.
• Experience visualizing/presenting data for stakeholders using: PowerBI, Tableau etc.
Other relevant competencies:
• Experience with agile and lean ways of working
• Strong stakeholder management
• Strong mathematical skills (e.g. statistics, algebra)
• Business acumen
• Story telling skills
• Strong verbal and written communication skills
Formal requirements:
• University degree, minimum bachelor, preferably in Computer Sciences, Engineering or Scientific discipline (Mathematics, Physics, Statistics)
Experis can offer you
You will have the opportunity for personal and professional development in various and challenging assignments. We offer competitive conditions, pension and insurance policy and a strong social environment. You will have your own mentor and be offered career guidance in addition you will receive access to free training courses. You will also have the opportunity to attend social events in addition to discount on gym memberships, bank and insurance, studies and healthcare.
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Om arbeidsgiveren
As a consultant in Experis, you will have instant access to a wide range of challenging positions and project assignments. With us, you can build your career and we will help you achieve your goals on short and long term through our national and global network. Visit us at www.Experis.no
- Nettverk: Facebook, LinkedIn, X
- Sektor: Privat
- Sted: 4022 Stavanger
- Bransje: IT, Olje og gass
- Stillingsfunksjon: Analyse, QA/Testing
Nøkkelord
Data Science, Neural networks, Data mining, statistical analysis, regression
- FINN-kode 148338044
- Sist endret