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Data Analyst/Data Miner - SAS, Data Analytics,Fraud Detection
Eingestellt von Next Ventures Ltd
Gesuchte Skills: Business intelligence, Consultant, Python, Sql
Projektbeschreibung
My client, a bank based in Brussels, require two Senior Data Scientists as part of an expansion plan in Brussles, on a 12 month contract.
The successful Data Scientists will be performing advanced analytics including (Big Data Analytics) to meet business requirements. You will be using statistical, mathematical, and predictive modelling skills to build a comprehensive platform for data analysis. You will also be using Business Intelligence tools including visualization, Excel and other BI Tools to create analytical models.
This Data Science job opportunity is perfect for an individual who would This is an opportunity for a Data Scientist to work within a prestigious company, gaining collaborative Big Data experience within a Hadoop environment.
KEY REQUIREMENTS:
- Hadoop environment with Hive querying skills
- Be able to build data models using programming languages and scripts (eg- R/Python)
- Have an understanding of and use skills for Machine Learning, Statistical Analysis, Predictive Modeling, and Hypothesis Testing
- Exsperience implementing algorithums
- Machine learning experience
KEY SKILLS
7+ years SAS experience (Essential)
Knowledge of Credit Risk Pillar 1 is a plus.
7+ years SAS experience (Essential)
Experience in Data Mining
Experienced in Data Analytics
5+ years experience with statistical analysis.
2+ years experience working in a Hadoop environment.
2+ years experience and hands-on knowledge of R to develop statistical models
In depth knowledge and competence in SQL
Experience working with Hadoop (Cloudera, Apache, Hortonworks, etc.) and working with MapReduce development, using Pig and Hive
Advanced skills/expertise in data mining, text mining or distributed computing
Proficiency at transforming data, data classification and translations, as well as resolving data quality, data linkages and data cleansing issues
Intermediate design and use of relational databases including experience working with dimensional modelling, star schemas and working with time-series data
Excellent research and analytical skills
Proven written and oral communications skills as well as liaising with stakeholders
Excellent consulting and advisory skills and background in requirements solicitation and synthesis
DESIRED SKILLS:
Experience with NoSQL databases such as Cassandra, Hbase, CouchDB, Mongo DB
EDUCATION
MS, PhD or equivalent in Statistics, Applied Math, Machine Learning or a related field.
If your experience matches these requirement, please contact HOLLIE BAYLISS - BIG DATA CONSULTANT on (SEE BELOW)
The successful Data Scientists will be performing advanced analytics including (Big Data Analytics) to meet business requirements. You will be using statistical, mathematical, and predictive modelling skills to build a comprehensive platform for data analysis. You will also be using Business Intelligence tools including visualization, Excel and other BI Tools to create analytical models.
This Data Science job opportunity is perfect for an individual who would This is an opportunity for a Data Scientist to work within a prestigious company, gaining collaborative Big Data experience within a Hadoop environment.
KEY REQUIREMENTS:
- Hadoop environment with Hive querying skills
- Be able to build data models using programming languages and scripts (eg- R/Python)
- Have an understanding of and use skills for Machine Learning, Statistical Analysis, Predictive Modeling, and Hypothesis Testing
- Exsperience implementing algorithums
- Machine learning experience
KEY SKILLS
7+ years SAS experience (Essential)
Knowledge of Credit Risk Pillar 1 is a plus.
7+ years SAS experience (Essential)
Experience in Data Mining
Experienced in Data Analytics
5+ years experience with statistical analysis.
2+ years experience working in a Hadoop environment.
2+ years experience and hands-on knowledge of R to develop statistical models
In depth knowledge and competence in SQL
Experience working with Hadoop (Cloudera, Apache, Hortonworks, etc.) and working with MapReduce development, using Pig and Hive
Advanced skills/expertise in data mining, text mining or distributed computing
Proficiency at transforming data, data classification and translations, as well as resolving data quality, data linkages and data cleansing issues
Intermediate design and use of relational databases including experience working with dimensional modelling, star schemas and working with time-series data
Excellent research and analytical skills
Proven written and oral communications skills as well as liaising with stakeholders
Excellent consulting and advisory skills and background in requirements solicitation and synthesis
DESIRED SKILLS:
Experience with NoSQL databases such as Cassandra, Hbase, CouchDB, Mongo DB
EDUCATION
MS, PhD or equivalent in Statistics, Applied Math, Machine Learning or a related field.
If your experience matches these requirement, please contact HOLLIE BAYLISS - BIG DATA CONSULTANT on (SEE BELOW)
Projektdetails
Geforderte Qualifikationen
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Kategorie:
IT Entwicklung, Organisation/Management