Data Science Manager

Since early 2000, we have supported our clients on a fixed number of projects, all over the world. Our consultant pool consists of Swedish and non-Swedish consultants within the fields of embedded systems telecommunication, online solutions and application development. Now we are looking for a Data Science Manager.
A leadership role that requires deep technical knowledge to manage sub-teams of Data Scientists and participate in various projects, influence business decisions and drive digital transformation.
Responsibilities
Lead, manage, motivate, develop data Scientists teams.
Typically manages 2 Proof of value projects in parallel, with 2 teams of Data Scientists.
Evolves to Product ownership (ie. Predictive Asset, Maintenance/SCM/CRM..) and managing a pipeline of projects around this functional topic.
Coaches Master thesis programs.
Lead teams in the development, test, implement and deployment of data science solutions to solve various business issues.
Work closely with Business stakeholders and SMEs to review expected outputs and applicability to the business challenge.
Identify and take part in the operationalization of valuable insights from the data into business and digital applications.
Partner with internal/external stakeholders, product owners, and team members and drive product development plans.
Drive methodological innovations into data science and digital products in the different functional areas such as services, product development, supply chain, operations optimization, and similar domains.

Fundamental Requirements:
At least 7 years of experience in building data science models and products, ideally for a product/industrial company and leading teams of 2-4 Data Scientists.
A background or profile in Machine Learning, quantitative methods, predictive modeling, statistics, or similar.
Excellent track record of delivery using languages like Python, R, and technologies like Hadoop, Git/SVN, JIRA, etc.
Exposure to IoT/Telematics will be an added advantage.
Good Familiarity with Agile / Scrum practices; played the role of scrum master, a good team player, and can work independently.
Willingness to build on and experiment with cloud data science platforms.
Ability to effectively communicate data science results and analytics value to business stakeholders.
Master's Degree or equivalent.
An advanced degree such as MS or PhD degree in Information Science, Statistics, Operation Research, Economics or related quantitative disciplines.

Key Outputs and Measurements
Manages and deliver on at least 2 Proof of Value projects in parallel, with 2 teams of 2 data scientist and eventually evolves towards Product ownership (i.e: Predictive Asset Maintenance/SCM/CRM...) managing a pipeline of projects around this functional topic.
Functional Competencies - Critical for the success
IM Mathematics & Statistics
IM Coding
IM Functional