Principal Data Scientist

Job description

Talent Specialist | Tech & People Analytics Enthusiast | Employer Branding & Career Development A little background Who exactly are we?

Our story is the one of a group of Cloud and technology enthusiasts who always had a clear goal: make things much easier for tech companies.

Since no one was really stepping up to fill that gap in Spain’s Cloud sector, we figured—why not build our own product?

We started small, and now we’re over 130 people and still growing.

Today, Jotelulu’s products are used in thousands of offices and businesses in retail, construction, industry, hospitality, transportation, and more, across over 8 countries in Europe and the Americas.

Every step we take is driven by the desire to do things better, bring something new, and shake things up—because that’s the only way innovation truly has meaning.

The challenge What are we up to these days?

After years of growing and iterating on our platform, we’re at a pivotal moment.

Jotelulu powers products like Servers, Remote Desktop, DRaaS, File/Object Storage and our Marketplace—and we are moving fast towards a all-in-one platform for IT companies.

We grow 100% through channel and technical communities (sysadmins/MSPs/integrators).

We are present across Spain, Portugal, France, and Mexico—new markets opening soon.

Your mission: turn our rich operational and product telemetry into trustworthy, timely, secure, and business-ready data.

Build the semantic layer and pipelines that power GTM, Product, Operations, and Partner Success—so decisions are faster, experiments are rigorous, and growth is compounding.

The role What are we looking for?

We’re hiring a Principal Data Scientist / Developer—part architect, part builder, part strategist—to own our end-to-end data foundation and accelerate impact from insights to shipped improvements.

You’ll partner with Product and engineering leads to design the next-gen data platform (batch and streaming), define our metrics and contracts, and ship models (analytics, ML, and LLM‑assisted) that lift activation, expansion, and reliability.

Reporting to the COO, you’ll work hands‑on while coaching others, translating business questions into robust, production‑grade data products.

This role is based in Madrid, Spain, with an hybrid work fashion.

This isn’t about dashboards alone—it’s about building the engines that move the business.

What you’ll own and drive End-to-end data infrastructure.

From ingestion to orchestration to serving (batch/stream), optimizing cost, reliability, and speed.

Data quality, integrity, and availability.

CI/CD for data, contracts, tests, and observability as first‑class citizens.

Pipelines & processes.

Design/optimize ingestion, transformation, and analysis workflows for structured and unstructured data.

Insights to action.

Partner with GTM, Product, Operations, and Partner Success to prioritize questions, run experiments, and land changes.

Models & semantics.

Own core metrics, semantic layers, reporting models, and feature stores aligned to the partner funnel (SQL→MQL→SQL→ARR).

Governance & collaboration.

Lineage, catalog, permissions, and clear documentation so teams can self‑serve safely and confidently.

Day‑to‑day tasks Develop and maintain analytical and ML/LLM models (structured/unstructured; stats/experimentation).

Analyze trends/patterns to improve processes, product, and the partner funnel.

Data modeling (dimensional, lakehouse, feature stores).

Data quality & observability (detect/fix inconsistencies).

Coordinate accessibility & usability (catalog, lineage, permissions).

Automate extraction/transformations, data testing, and deployment.

Document best practices, standards, and methodologies.

Tooling you’ll use Linux, bash, Git, Containerization; SQL/NoSQL; Flask/FastAPI for APIs; Data stack: Pandas, scikit‑learn, Polars, DuckDB; DL stack: PyTorch, HuggingFace, TensorFlow; Dash/Plotly/Power BI; Slack; Microsoft O365; Jira; Confluence; Cloud platforms & data services.

What will make us fall in love with you as a candidate?

It will be a perfect match if… You are proactive.

You spot data gaps early and propose scalable solutions without waiting for direction.

You prioritize clarity over clutter.

You define crisp metrics and contracts, and you make complex systems understandable.

You rock in strategic storytelling.

You turn analysis into compelling narratives that move execs and engineers to act.

You are brave & creative.

You experiment fast, embrace feedback, and solve problems others deem “too technical” or “too messy.” You simplify the complex.

You design data models and APIs that make cloud workflows intuitive for partners and internal teams.

Ownership.

You can lead the full data lifecycle.

From ingestion to models to serving and observability—hands‑on and end‑to‑end.

You love being the bridge between tech and business.

You translate questions into analysis, and insights into shipped changes.

For you, user and business impact go first.

You champion data integrity and responsible AI to improve real outcomes.

Trust.

You give and receive feedback thoughtfully, with the intent to build, and you lead with transparency.

Requirements that are important for us Please, only apply if you match these.

A principal level.

8 years across Data Science/Analytics/Engineering (including leading initiatives), with shipped data products and measurable business impact.

Mastery of data tooling.

Python (preferred) and/ R; SQL & NoSQL; visualization (Power BI, Tableau, Looker, Dash/Plotly); ML/LLM/stats; cloud data services.

You use AI responsibly to speed up quality work.

English skills.

Intermediate level required — Level B1 minimum (B2 is a plus) to collaborate with international teams.

Data ETL/ELT & orchestration.

Reliable pipelines (batch/stream) with monitoring, alerting, and recovery.

Modeling.

Dimensional modeling, lakehouse patterns, and feature stores that serve analytics and ML.

ML/LLM & experimentation.

From baseline models to rigorous A/B tests and causal inference on structured/unstructured data.

Visualization.

Power BI, Tableau, Looker, and Dash/Plotly for decision‑ready views.

Observability & governance.

Data tests, lineage, contracts, catalogs, and CI/CD for data.

Quality by design.

Freshness, completeness, accuracy, and SLAs as non‑negotiables.

System design & architecture.

Comfortable with monoliths, microservices, and event‑driven patterns.

APIs & services.

Build/consume services with Flask/FastAPI; productionize models and data apps.

Cloud & data services.

Practical fluency with cloud storage/compute and managed data offerings.

Core stack.

Python, Pandas, Polars, DuckDB, scikit‑learn; DL with PyTorch/TensorFlow/HuggingFace.

DevX.

Linux, bash, Git, containerization; automation, testing, and CI/CD for code and data.

Security‑minded.

Design with least privilege, encryption, and secure defaults.

Security & Compliance The Data Analytics team ensures secure and responsible data use in line with ISO 2701, ENS, and HDS —protecting confidentiality, integrity, and availability.

We anonymize and encrypt where applicable, enforce access controls, uphold data quality, and ensure that analysis tools/platforms are compliant.

You’ll work closely with our Security team to bake this into architecture and day‑to‑day operations.

What we offer Hybrid remote model (50-50 per year).

2 days at home, 3 in the office.

A healthy balance that gives you freedom while helping us build a strong team culture.

(Summer and Christmas full remote) Competitive salary: with a career path designed to help you grow and eventually lead broader initiatives.

Holidays.

23 days per year December 24 and 31 your birthday (we want you to enjoy your day!) Schedule.

Flexible starting hour every day, and working half day on Fridays.

Julio/agosto intensivo Training budget.

You’ll have €500 per year to invest in your professional development.

Private Medical Insurance.

Meal Card.

With a budget for all the days you come to the office.

Chances of future equity.

As a Principal Data Scientist / Developer, you’ll have opportunities to take on larger cross‑company responsibilities, with a potential chance of getting access to our stock unit program.

Our Space.

A beautiful office overlooking Plaza España, right in the heart of Madrid and well connected to the entire city.

J-18808-Ljbffr

Required Skill Profession

It / Computing / Software