Pamata
Staff Data Scientist
Publicēts: 28.05.2026
Beigu datums: 12.07.2026
Darba atsauce: 471121534642447974432460
Informācija par darbu
Atrašanās vieta
catalunya, Spain
Uzņēmums
JR Spain
Klients / Darba devējs
Heetch
Darba atsauce
471121534642447974432460
Sludinājuma veids
Pamata
Nepieciešama ES darba atļauja
Nē
Publicēts
28.05.2026
Beigu datums
12.07.2026
Darba apraksts
About the RoleWe’re looking for a Staff Data Scientist to shape the future of our marketplace through advanced analytics, experimentation, and machine learning. You’ll define the technical direction of data science initiatives, influence product strategy, and mentor other data scientists to elevate our analytical standards and impact.As a Senior Technical Leader, you’ll partner closely with Product, Engineering, and Operations teams to turn data into decisions that improve reliability, growth, and user experience across markets.What You’ll Do- Lead data science initiatives with company-wide impact — from experimentation frameworks to ML systems and causal inference methods- Define best practices and standards for experimentation, modelling, and analytical excellence across teams- Partner with Product and Engineering leadership to identify and prioritise high-leverage opportunities- Develop and deploy scalable models and data products that drive measurable business outcomes- Mentor and coach other data scientists and analysts, helping them deliver higher-impact work- Communicate insights and recommendations to senior leadership, influencing product and growth strategy- Contribute to Heetch’s data platform evolution, ensuring data quality, reliability, and efficiency at scaleYou’ll Thrive In This Role If You- Have a deep understanding of statistics, experimentation, and causal inference, and know how to apply them pragmatically- Are fluent in Python, SQL, and modern data/ML tooling- Have experience bringing ML models into production and measuring their long-term business impact- Are skilled at translating complex technical findings into actionable business insights- Are a collaborative leader who mentors peers and sets high standards for analytical rigor and impact- Have + years of experience in data science, ideally with – years in a Staff-level or tech-lead capacityNice to Have- Experience in marketplace or pricing systems (supply–demand modelling, matching, or fraud detection)- Experience leading data science guilds, chapters, or communities of practice- Familiarity with MLOps, feature stores, or causal inference frameworksRide with Pride at HeetchWe’re all about building a diverse, inclusive team where everyone feels safe, seen and celebrated. Different backgrounds, perspectives, and vibes? Bring it on. That’s how we grow.And hey — studies show some people (especially women and early-career folks) hold back from applying unless they tick every single box. Don’t do that. If this role sparks something in you, but you’re not sure you match everything — apply anyway. We care about potential, mindset, and energy just as much as experience.Everyone’s welcome on the Ride We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Prasmes
apply blended learning
apply for research funding
apply research ethics and scientific integrity principles in research activities
build recommender systems
Business Analytics
Business Intelligence
collect ICT data
communicate with a non-scientific audience
Computational Biology
Computer Simulation
conduct research across disciplines
create data models
Data Engineering
data ethics
Data Mining
Data Models
data quality assessment
Data Science
data visualisation software
define data quality criteria
deliver visual presentation of data
demonstrate disciplinary expertise
design database in the cloud
design database scheme
develop data processing applications
develop professional network with researchers and scientists
Digital Curation
disseminate results to the scientific community
draft scientific or academic papers and technical documentation
empirical analysis
establish data processes
evaluate research activities
execute analytical mathematical calculations
Hadoop
handle data samples
Healthcare Analytics
image recognition
implement data quality processes
increase the impact of science on policy and society
information categorisation
Information Extraction
integrate gender dimension in research
integrate ICT data
interact professionally in research and professional environments
interpret current data
LDAP
LINQ
make data-driven decisions
manage data
manage data collection systems
manage findable accessible interoperable and reusable data
manage ICT data architecture
manage ICT data classification
manage intellectual property rights
manage open publications
manage personal professional development
manage research data
Marketing Analytics
mathematical modelling
MDX
mentor individuals
multidisciplinary research
N1QL
normalise data
online analytical processing
operate open source software
perform data cleansing
perform data mining
perform project management
perform scientific research
promote open innovation in research
promote the participation of citizens in scientific and research activities
promote the transfer of knowledge
publish academic research
quantitative analysis
query languages
report analysis results
Research Design
resource description framework query language
Scientific Computing
scientific literature
Social Network Analysis
SPARQL
speak different languages
State Estimation
statistical modeling techniques
Statistics
synthesise information
teach in academic or vocational contexts
think abstractly
Unstructured Data
use data processing techniques
use databases
use spreadsheets software
visual presentation techniques
write scientific publications
XQuery