Data Scientist Applied AI (f/m/x)
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Job description
About the Position
Data Scientist Applied AI (f/m/x)
paretos HQ hybrid
Vollzeit
Festanstellung
paretos is the leading AI-based Decision Intelligence platform for effective, data-driven decisions across the entire company. Our Business Agents enable the evaluation of complex data sets, prediction of scenarios, and derivation of optimal measures – from demand forecasting to inventory replenishment and strategic decisions at the C-level. All this through a no-code interface, requiring no prior knowledge in data science. paretos is an inclusive company that ensures equal opportunities for all. Our culture is based on the principles of GUNG HO: meaningful work, shared goals, and mutual support. We pride ourselves on a team of passionate, high-performing, and caring individuals of all genders, cultures, and backgrounds.
About the Role
As a Data Scientist Applied AI, you will work directly with our clients: in workshops, in ongoing coordination with the Supply Chain, Finance, and Operations departments, and during on-site go-lives. Based on our DecisionOS Platform, you will develop solutions that do not just stay in the notebook but change the way our clients make decisions in their daily lives.
Responsibilities
- You will manage client cases from a technical perspective: assessing requirements, evaluating feasibility, setting expectations – in direct coordination with the client's department.
- You will lead the technical discussion with the client: explaining results in a way that resonates with the department, and making it transparent why a result looks the way it does.
- You will configure and improve forecasting and optimization solutions on the DecisionOS Platform – from selecting the right capability to data integration and evaluation.
- You will bring solutions into production and ensure they run stably and comprehensibly.
- You will dive deep into customer data: data quality, impact chains, the right forecast drivers.
- You will work AI-first: agents, LLMs, and agentic engineering are part of our toolkit, not just a gimmick.
- You will shape the product roadmap and platform by recognizing what truly scales from a platform perspective.
- You will engage in intensive discussions with Forward Deployed Engineers, Product, and Data Science – and mentor colleagues where your experience is beneficial.
Typical Application Areas
- Replenishment & Inventory Optimization: from demand forecasting to automated order suggestions.
- Demand Forecasting: identifying the right forecast drivers, configuration, evaluation against real business figures.
- Setting up a Semantic Data Layer: building the data model and business logic at the client so that forecasts are accurate and evaluations are reliable.
- Setting up Socrates: deploying our agent at the client – connecting to the semantic data layer, configuring, and evaluating the responses.
Requirements
- At least three years of experience as a Data Scientist, with hands-on responsibility as the main focus.
- Proficient in Python and SQL, familiar with pandas, polars, numpy, as well as sklearn, pytorch, xgboost, or similar.
- Hands-on experience in modeling, ideally time-series forecasting.
- You have not only trained but also deployed solutions.
- Proficient in data analysis and data modeling, including preprocessing, cleaning, and exploratory data analysis.
- Proficient in mathematical problem formulation and its solution.
- You enjoy working directly with clients and can technically manage a client case: you lead the technical discussion, assess requirements, and explain results in a way that resonates with the department.
- Curiosity about AI-supported work. Experience with LLMs and agents is a plus, willingness to learn is a must.
- Fluent in German and English.
- Bonus: Operations Research, Supply Chain / FMCG, ERP or planning systems, S&OP processes.
Setup
You will work in a hybrid setup: most of your time with the team in our Heidelberg office, in close collaboration with Product, Forward Deployed Engineers, and Data Science. Occasional on-site work at the client's location is also part of the role.
Benefits
When you become part of the paretos team, these small benefits await you:
- You will receive the hardware setup you need to reach your full potential.
- You will use your personal learning budget (€2000 per year) to continuously develop yourself.
- Flexible working hours: you work when it suits you best.
- You will receive a monthly benefit budget of €60, which you can use as you see fit – whether for Urban Sports Club, a mobility budget for fuel, public transport, or the Germany Ticket, or simply vouchers from your favorite store. As you prefer.
- A wide selection of snacks and drinks is available in the office free of charge at all times.
- You will join a highly qualified and motivated team of paretoneers who enjoy implementing things and having fun while doing so.
- You will participate in our quarterly Hacky Days, full of creativity and new ideas.
- We regularly organize technical and social team events, both online and on-site.
- If you are a member of the paretos Dog Club, you are welcome to bring your four-legged friend to the office.
- In the office, you can showcase your barista skills and chat with other paretoneers over coffee. Maybe you will be crowned "paretos Office Barista of the Year" at our Christmas party.
Further Information
This role is designed from the start for Forward Deployed Engineering. You will start with your data science craft and grow into the full breadth of the role with us: more client responsibility, more platform depth, more of your own solutions – with a learning budget, internal mentoring, and real projects as a training ground.
We look forward to your application if you already live in the Rhein-Neckar region or are willing to relocate.
Transparency note: We use AI tools for the preliminary selection of applications. However, the decision on who we invite to an interview is always made by us – not the algorithm.
paretos is an inclusive company that ensures equal opportunities for all. We expressly encourage you to apply, even if you do not meet the requirements 100%.
Apply now and join our team!
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