Senior Data Science Consultant/Manager

Empresa: CV-Library
Tipo de empleo: A tiempo completo
Salario:
81.000 - 99.100 SEK/Anual

Senior Data Science Consultant/Manager

€90,000-€110,000 + Benefits

Gothenberg, Stokholm, Malmo

MBN's client, a leading technology consultancy are in search for a Data Scientist to join an established Data Science and Analytics team based in Sweden.

The successfull candidate will work with stakeholders to improve clients’ ability to exploit data for business benefit via advanced analytics capabilities.

You should have extensive experience of Data Science use cases ideally within Automotive or Telco sectors.

Ideally you will have experience with using AI within product design,with proven examples of successful project deliveryand team leadership

Responsibilities:

⦁ Drive incremental Data Science projects and placements

⦁ Growing the Data Science team across Europe

⦁ Lead data science projects

⦁ Identifying the most appropriate Machine Learning technique for many business contexts

⦁ Supporting Business Development initiatives such as pitch presentations

⦁ Working collaboratively with project managers, developers, and end-users to deliver working solutions and analytics in an Agile and Iterative manner

⦁ Direct involvement in the end-to-end Data Science Lifecycle, from solution requirements gathering and validation activities through to Production deployments

⦁ Driving innovationwithin the team and with clients, leveragedata harvested to guide data driven insights

⦁ Development of data-centric prototypes

Requirements:

⦁ Experience working in either Automotive or Telco industry as a Data Scientist will be highly desirable.

⦁ Proven experience in working within data analytics teams

⦁ A mixture of hands on technical skills coupled with strong stakeholder engagement experience.

⦁ Applied knowledge of several data technologies, practices and analytical approaches, for example:

⦁ Modelling (Statistical techniques, machine learning, text analytics, NLP)

⦁ Modelling Packages (Pandas, Scikit Learn, NLTK, Spacy, Spark ML)

⦁ Reporting and Visualization (Tableau, QlikSense, matplotlib, seaborn, D3, networkx)

⦁ Big Data and NoSQL (Hadoop, Spark, Casandra,)

⦁ Data Preparation (SQL, ETL, Warehouse architecture, OLAP)

⦁ Data Architecture (Modelling, policy and rules)

⦁ Programming (Python, R, Java, PySpark, sparklyr, Scala)

⦁ Open Source & Commercial Tooling (Jupyter Notebooks, RStudio, CDSW, Rapidminer, Neo4j, StreamSets, Hadoop, NoSQL, Oracle)