I dare to claim that we’ve got Finland’s most interesting data! Then again, we hate a poor customer experience, clunky webstores and inefficiency. Thus, I’m rapidly growing a new eCommerce Data & Analytics team that focuses on enabling the rapid growth of our retail sites (incl. groceries via foodie.fi and skaupat.fi, and other consumer goods via sokos.fi, prisma.fi). This rapid growth is based on a kick-ass customer experience, intelligent sales in addition to process efficiency that has been enabled by optimization. The scope will include the whole supply chain from the warehouse to the customer and the website/app itself.
Join a winning team
You will be part of a new target-oriented eCommerce Data & Analytics team that will comprise a ML Engineer, Data Scientists, SEO Specialist, Web Analysts and BI Analysts. But your actual work will be in service development teams that are gathered around a business function or goal and that comprises different talents: sales, tech development, design, etc. We use business-driven agile-development methods in all our work to ensure rapid value creation for the business and customers. S Group has also other Data & Analytics teams so there are sparring opportunities in-house, but I’ll also help you to connect with relevant people outside.
What will you do?
Our use-case list is long, but prioritization and work focus are of paramount importance. You’ll be diving straight into the deep end with one of our use cases, e.g. unconstrained demand forecast for pickup or home delivery, optimization of grocery picking in stores, recipe and product mapping with AI, product bundling, campaign impact prediction, price elasticity, probability of goods return, stock availability and anomaly forecast, and customer value related analysis. We are building new webstores and supply chain processes and ML/AI will be built in ‘by design’. Data streams, data lake and warehouse are developed in another team, and the ML Engineer of our team will help you productionize the results of your work.
What else can we offer?
This is your chance to work in the heart of Finnish retail and create intelligent digital services that help millions of consumers. You will see the results of your work directly and you will work with a wide scope and see/learn the retail business as a whole. I will support your continuous learning (conferences, courses, sparring) and ensure flexibility to combine work and private life. The S chain also has probably the best perks in Finland.
What improves your chances of success?
Demonstrated experience with applying machine learning to real-life problems: predictive modelling, clustering, optimization, etc
Years of hands-on experience in Python
Knowledge in optimization tools (Gurobi, CPLEX) is a plus
Ability to make both prototypes and full-scale data-science production applications (MLops)
Strong background in retrieving structured and unstructured data from databases (SQL) and via APIs. Experience with data retrieval from streams and Redshift RS3/Snowflake is a plus
Experience in Git, Jira and agile ways of working
Knowledge of cloud services (AWS, Google Cloud)
Experience in data visualization and good presentation skills
Experience in B2B retail is a plus
Strong business acumen and result orientation
Fluent English as a working language; Finnish a plus
Our headquarters are in Vallila, Helsinki but currently we are all working remotely (which will partly continue in the future too).
Please send your application latest Wed 21st of April 2021. I will be going through applications as they come and start interviews so don’t leave yours to the last minute.
If you have any questions, please contact me during working hours 8-16 (041 441 0053, firstname.lastname@example.org)