Principal/Senior/Mid/Junior - Data Scientist – All Domains

Aily Labs SLU; Madrid; Híbrido; EUR 40.000 - 70.000; Jornada completa

Descripción de la vacante

An innovative SaaS company is seeking Data Scientists across various seniorities in Madrid and Barcelona. This role involves building AI-driven features and working in areas such as finance, supply chain, and R&D. Candidates should have strong skills in Python and SQL, with the ability to present and communicate results effectively. This permanent position offers a hybrid work policy, requiring two days in the office each week.

Formación

• Experience with machine learning models and AI-driven features.
• Proficiency in Python and SQL.
• Ability to present results and communicate effectively.

Responsabilidades

• Build and maintain AI-driven features like forecasting and classification.
• Design end-to-end ML pipelines for small projects.
• Lead major projects and manage multiple workstreams.

Conocimientos

Python

SQL

Machine Learning

Data Analysis

Communication

Educación

Bachelor's degree in Data Science or related field

Herramientas

Airflow

MLflow

Descripción del empleo

Principal / Senior / Mid / Junior - Data Scientist – All Domains - BCN / MAD

Mission

Aily Labs is a B2B SaaS company building an AI-powered decision intelligence app for enterprises. Our mobile-first platform combines company data with advanced machine learning, large language models and agentic AI to give business leaders clear, actionable insights in real time.

Instead of traditional dashboards and reports, Aily delivers simple, personalized recommendations that help teams decide and act faster across finance, supply chain, R&D, commercial and more. The app is designed to be intuitive for end users and easy to integrate for IT, so companies can move from analysis and indecision to confident, data-driven decisions every day.

Founded in 2020 in Munich, Aily Labs has grown into a global team of 300+ people across Munich, Barcelona, Madrid, Cluj, and New York. Our mission is to democratize AI in business and enable leaders to Lead Boldly, turning complex data into decisions that drive real, measurable impact.

We are looking for Data Scientists

People who are passionate about the power of AI and who thrive at the intersection of business, analytics, and AI: someone who not only trains models but also deeply understands the business context in which they're applied. Your job is to make sure AI is solving the right problems, using the right approaches, and driving measurable impact.

About this role – Domains Department

The Data Science Domains Department powers business‑critical decision‑making across four key areas of enterprise operations. We build and deploy AI‑driven features that transform how business leaders understand and act on complex data challenges in their specific domains.

Each domain has distinct requirements, challenges, and opportunities—but all share the mission of delivering real‑time, actionable AI insights that drive measurable business impact.

Our Four Domains

Finance (FIN) : We enable smarter, faster financial decision‑making across the enterprise by partnering with Finance teams to improve forecasting accuracy, planning agility, and financial transparency through AI‑driven solutions. We tackle volatile revenue and demand signals, large‑scale multi‑dimensional forecasting, and resource allocation under uncertainty, while ensuring models remain explainable and actionable. Our work moves Finance beyond reactive reporting toward proactive data‑driven decision‑making, powered by production‑grade ML systems at enterprise scale.

Manufacturing & Supply Chain (M&S) : We optimize the end‑to‑end manufacturing and supply chain with cutting‑edge AI. Our team works closely with supply chain champions across Fortune 500 companies to drive impact: from helping pharmaceutical companies to avoid out‑of‑stocks to reducing machine breakdown in consumer good factories. Our solutions consist of a mix of statistical, machine learning, GenAI, Knowledge Graph, and agentic techniques to tackle challenges such as low signal demand forecasting, explainability for supply chain autonomy, and providing detailed actionable recommendations based on a mix of textual, image, and structured data.

Research & Development (R&D) : We are passionate about clinical operations and portfolio management. Our team partners closely with pharmaceutical and biotech companies to deliver innovative AI‑driven solutions that optimize clinical trial recruitment and accelerate pipeline innovation. Some of the exciting use cases we’ve worked on include predicting patient enrollment, optimizing trial design, building knowledge graphs across the pharma ecosystem, and more.

Cross‑Functional (XF) : this team addresses critical business areas that extend beyond the scope of our other specialized domains. We apply AI to diverse functions spanning procurement, people analytics, commercial operations, and more - developing solutions that transform these essential but often underserved areas. By focusing on these complementary business functions, we ensure our AI platform delivers comprehensive value across the entire enterprise, helping organizations unlock insights and efficiencies in every corner of their operations.

Your profile

Core responsibilities and skills (by seniority)

Junior Data Scientist – Up to 2 years

• Build and maintain AI‑driven features (forecasting, classification, regression, recommender systems, LLM‑powered features) for business use cases
• Contribute to app features with guidance from mid / senior teammates; improve models, pipelines and deliverables
• Present results and findings to your team; identify gaps and learn to explain the product and the AI behind it
• Deliver assigned tasks autonomously and on time with clear ownership

Mid Data Scientist – 2+ years

• All of the above +
• Have strong Python / SQL skills, basic MLOps knowledge (Airflow, MLflow, unit testing), and solid ML fundamentals
• Own features of the app; constantly improve models, pipelines and monitoring to ensure robust production performance
• Communicate and align with internal stakeholders; identify opportunities and explain AI behind business outcomes
• Design end‑to‑end ML pipelines for small projects; mentor junior team members on technical topics

Senior / Lead Data Scientist – 4+ years

• All of the above +
• Have comprehensive MLOps expertise, advanced Python / SQL skills, and domain specialization; enforce code quality standards across the team
• Own key features and projects; design and improve models, pipelines, and experimentation frameworks
• Lead 1+ major projects as AI lead with full accountability; break down work, assign tasks, and manage multiple workstreams with stakeholder alignment
• Communicate and align with internal / external stakeholders; turn business requirements into AI solutions; make speed vs. quality trade‑offs
• Provide technical mentorship; set modeling standards and drive cross‑functional delivery with PMs, engineers, and customers

Principal Data Scientist – 6+ years

• All of the above +
• Have deep expertise in one technical area; lead by example on technical excellence, business acumen, and strategic vision
• Define and own AI domain roadmaps; transform ambiguous business challenges into structured action plans with clear milestones and dependencies
• Lead 5+ simultaneous projects across multiple workstreams; shape product strategy with PM / Eng; manage risks and ensure timely, high‑quality releases
• Demonstrate strong business acumen: estimate AI solution impact on KPIs and business outcomes; identify domain‑wide opportunities and influence strategy
• Provide leadership for the Data Science team: mentor and manage; define standards; drive impactful cross‑functional delivery; empower team members

Who we’re looking for (all levels)

• Someone who thrives at the intersection of business, analytics and AI and wants to ensure AI solves the right problems with measurable impact.
• A scientist and builder: you explore multiple approaches, analyze results and iterate fast, balancing cutting‑edge techniques with simple, scalable solutions.
• A strong communicator who adapts the message to different audiences and enjoys working cross‑functionally with product, engineering and business stakeholders.
• Someone with a startup mindset: comfortable with ambiguity, proactive and hands‑on when something needs fixing or improving.
• Ready to Lead Boldly – helping business leaders make decisive decisions powered by real‑time AI insights

Locations

Madrid (MAD), Barcelona (BCN).

Contract type

Permanent.

Work policy

hybrid (2 days per week in the office)

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