Data Scientist

Key Skills

Python Programming, Scala Programming, C++, Java Programming, Machine learning techniques, Data science techniques, SQL, Apache Hadoop, MapReduce, TensorFlow, PyTorch, R Programming

Job Description

Our Precima team helps retailers turn shopper insights into strategic advantage. We leverage our deep expertise in data science and technology to mine shopper data, uncovering what drives consumer decision making. By using advanced modeling, artificial intelligence and cloud-based SaaS solutions, we are able to put these insights at the fingertips of our clients.

As a Data Scientist, you’ll be part of a team of smart, highly skilled engineers and data scientists who are proud to partner with some of the world’s leading retailers on challenging, cutting-edge, data-driven solutions - all powered by our exceptional technology and people. Our core technologies currently include Java, Angular, Spring Boot, Apache NiFi, Mongo, Postgres and Snowflake, and we continue to adopt the best of breed in cloud-native, low-latency technologies. Our team is co-located and agile, with a central hub in Toronto.

What you’ll do

• Be responsible for Analytics production support and deployment. This includes executing, developing, deploying and measuring Nielsen Precima’s analytical products that are configured for clients.

• Produce accurate statistical analysis and ensure high quality of the data analysis produced.

• Implement, score, and maintain advanced statistical and mathematical models and customer segmentation.

• Interpret, document and present analytical results to multiple business disciplines, providing conclusions and recommendations based off customer-centric data.

• Take analytical objectives and define data requirements. Extract, clean, and transform customer and item-level data for purposes of analysis, modeling/segmentation and reporting.

• Participate in special projects and ad-hoc as required 

We’re looking for people who have

• Bachelor/Master Degree in Math/Statistics, Computer Science, Economics, Industrial Engineering.

• Minimum of 1 - 2 years of directly related work in quantitative analysis with proven results in leveraging customer/transaction to address business objectives through a structured analysis - leading to insights and recommendations. Experience in retail and/or CPG is strongly preferred.

• Strong in statistical techniques and the willingness to learn and champion methodologies for customer analysis.

• High proficiency in SQL and Python/R/or similar statistical packages

• Ability to translate business objectives into analytical plan/framework, conducting the analysis and interpreting data to derive insights and interpret results to develop and communicate recommendations to internal teams - and then to clients.

• Ability to translate statistical and analytical results into clear written and verbal communication to internal/external stakeholders.

• Excellent ability to be part of multiple projects/initiatives while simultaneously meeting deadlines in a diverse environment

• Strong team player and ability to work in a collaborative environment

We offer

• Salary range: EUR 2250 - EUR 3000 gross/monthly 

• Health Insurance