Data Scientist, Merch
Toronto, ON
Description:Responsible for generating and leveraging advanced analytics to deliver customer insights in support of working with retailers to build customer-centric strategies. This role is both client-facing as well as developing custom analytic solutions by integrating internal products and services to meet customer needs.

This role is an integral part of the data science solution Team. The successful candidate will have relevant retail industry experience and expert capabilities in developing and interpreting segmentation, optimization and statistical modeling for both marketing and merchandising. The candidate will understand the business needs of a retailer or CPG client, as well as the appropriate analytical approach for a given challenge.

As a data scientist in the Merch Analytics team, you will be responsible for the management of client data to develop and analyze results and present insights and recommendations back to our clients. Your success in this role will be driven by an understanding of our client needs, and your ability to translate business constraints into analytical deliverables for those clients. You will leverage your analytical background and related retail experience to motivate others to action both internally and with our external clients.

Work collaboratively with client to deliver customer insights to support business objectives.
Conduct timely quantitative and qualitative evaluation of deliverables by analytics team to support client's business objectives.
Evaluate effectiveness of existing merchandising, marketing & promotional strategies and make recommendations for future optimization.
Proactively highlight opportunities to develop, enhance, remove existing tools and processes. Incorporate new/enhanced tools and processes.
Collaborate to ensure 'shared learnings' across team and clients.
As a customer-centric consulting business it is important to infuse a customer perspective into projects/tasks where appropriate. Awareness of customer metrics and its impact to differentiated insights and reco’s is a must.
Link analysis and results to business issue and/or analytic objective.
Be a primary client contact in the development and implementation of analytical applications, strategies and tactics based on Precima-developed customer insights and analyses.

Superior analytical/modeling skills and experience with database concepts, python and SQL experience are valuable assets
Strong interpersonal skills - diplomatic, professional and composed
Strong presentation skills, ability to quickly adjust based on client needs
Demonstrated curiosity, initiative and passion for the application of statistical sciences to address business challenges and learning of new statistical/analytical methods
Proven problem solving ability, ability to 'think outside the box'
Strategic thinker, creative and self motivated • Master’s Degree in Statistics, Mathematics, Economics preferred
Excellent ability to be part of multiple projects/initiatives of varying size and complexity, while simultaneously meeting and exceeding deadlines in a diverse environment
Team player with high energy and demonstrated initiative
Ability to translate analytical results into clear written and verbal communication to internal/external stakeholders
Masters in Statistics, Operations Research, Mathematics, Economics, Econometrics, Industrial Engineering, Computer Science
Proficiency in developing original statistical and econometric models in pricing, assortment and marketing mix to support clients in B2B, Retail and CPG areas. Strong experience on SQL, Python / R.
Proficiency in implementing models using Python or R