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Sibill is the accounting and financial operating system for small and medium businesses (SMBs).

Italy is the single largest EU country by number of SMBs. Italian SMBs employ 75% of workforce and generate two thirds of the country GDP. We want to unlock Italian SMBs productivity. Old tooling, manual processes, sparse data cause an average 8 hours/week wasted by our entrepreneurs. It simply can’t keep being as it is. Sibill gives this time back to entrepreneurs by bringing invoicing, payments, treasury and accounting in a single, modern platform.

International venture capital investors like Keen Venture Partners (Fiscozen), Founders A/S (Pleo), Exor Ventures (Qonto, Alan), Notion Capital - and many others - believe in our mission and pledged their capital to make it happen.

We are a product-driven company with a pragmatic approach to solve real problems. We count several thousands of entrepreneurs as customers. We want to get to millions - this is just the beginning.

What we look for

We are looking for a motivated, pragmatic, and goal-oriented Senior Data Scientist to join our Data team.

You are the perfect fit if...

• You are passionate about technology, statistics and business. The three of them.
• You don’t feel “done” yet, you want to keep learning and applying science to drive business outcome. You still want to be hands-on.
• You are excited about working in a flat, no-politics, fast-paced environment.
• You have excellent analytical skills and and a sharp eye for detail.
• You are not scared of working hard. As a team, we all have to go the extra-mile to make it happen.
• You feel like fitting the values we share at Sibill: ambition, pragmatism, efficiency, integrity

What you will do

You will report directly to the chief data officer/ co-founder. You will work with him and build all the data products that empower our customers to run their business better. This will not be a one-man standing. It will take a lot of cross-functional work with the people in our data, engineering, product, design teams.

We sit on top of the most business-critical company data. Money flows, bank transactions, invoices, cash register records, payables and receivables, general ledger records. We are the accounting & finance operating system of our customers. You will build data products that use this vast information set to solve specific customer problems.

Your responsibilities will include:

• Discovery, domain understanding, data collection and experimentation
• Performance monitoring and iteration over existing data products

Examples of projects you could work on from month one at Sibill:

• Refining our autoreconciliation search algorithm (matching invoices with related financial money flows) to try and improve f-score.
• Building a classification model to label general ledger records with the right chart of accounts codes.

What you will need

• M.Sc./Ph.D. in Data Science, Statistics, Computer Science, Mathematics or a related STEM field. You won’t be asked to send rockets to Mars - but a solid background in probability, stats, linear algebra and computational mathematics will give you an edge.
• Modern Python and modern software development tools (Docker, CI/CD, unit testing, evals). We do not run data pipelines built on Jupyter Notebooks in production. Bonus point if you know you way around vector stores.
• Proven expertise in leading model development using a wide range of techniques. Previous expertise in domains with high usage of neural networks (NLP, computer vision) is highly beneficial.
• Especially at the beginning, an end-to-end data ownership mindset. It will not happen every day but - if necessary - you might be asked to build your own data pipeline end-to-end, to write a batch ETL, to write Elixir or TypeScript code, or to support teammates with an important one-off empirical analysis.
• Fluency in English and Italian.
• Bonus point: at least 7-8 years of experience. You have already coached and mentored junior colleagues.
• RAL: 70-90k
• Employee stock options
• Health insurance (AON)
• Full remote (based in Italy). We will just ask you to come to Milan for a few weeks during the onboarding (trip is on us)
• You will work within a team of smart, hard-worker, passionate and nice human beings. People in Sibill tend to be very happy. Happiness is an underrated benefit ;-)
• 30 minutes “know-each-other” session with Dario (Chief Data Officer)
• 45 minutes technical interview
• you will meet some of the key people you will work with (engineering, data, product)
• 45 minutes with Mattia (CEO) and Lorenzo (Chief Product Officer)

Apply here --> https://sibill.notion.site/senior-data-scientist