Sr. Data Scientist Manager

Sr. Data Scientist Manager

  • Anywhere

Company Name:-
Lidl US

Job Location:-
Arlington, VA 22202 (Aurora Highlands area)

Job Summary:-
Job detailsJob TypeFull-timeFull Job DescriptionSummary

The Sr.

Manager – Advanced Analytics provides support to one of the world’s largest and fastest growing retailers by developing and implementing advanced cutting-edge Analytics and machine learning solutions.

This role also provides support to executive management and operational departments by developing complex data products that are integrated into business processes and generate added business value.

The role will include working within a team of Data Scientists and partnering with internal stakeholders across the business locally and internationally.

The individual optimizes business processes through modern machine learning techniques and supervises integrating the developed models into productive software.

What You’ll Do
Provide support to a fast growing international Analytics community at Lidl by exchanging knowledge and collaboratively developing methods to provide solutions.

Develop and supervise complex data products that are integrated into business processes and generate added business value.

Ownership of full lifecycle development from analyzing current processes, providing functional specification, designing and developing solution, testing and providing on-going support once live
Through modern machine learning techniques, optimization of business processes using predictive and prescriptive methods.

Cross-analyze data from different sources in order to create new insights to the business to solve real-world business problem
Support the departments concerning questions of advanced analytics and development of own proposals to move the company forward
Responsible to research other potential software solutions
Integrate the developed models into productive software.

Upskill colleagues by creating a culture of experience exchange with the aim of improving understanding and efficiency of the department’s processes and products
Train and guide the work of other team members, quality checks on work and ensuring deadlines are met
Cultivate a culture of learning and knowledge extension in the department to better understand the “why” behind tasks and therefore increase efficiency
What You’ll Need
Good knowledge of Machine Learning, Optimization an

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