Smadex is a leading advertising technology company founded in Barcelona in 2010 and sold to American-based and stock-listed Entravision in 2018 (NYSE::EVC). We are a fully transparent platform built with top technology, countless programmatic management features and powerful machine learning algorithms to help advertisers grow their business at scale. We are currently considered one of the top mobile ad-tech companies in the world.
As a Senior Data Scientist, you won’t just analyze data, you will actively shape the future of our mobile advertising platform. You will sit at the intersection of product, engineering, and business, transforming raw behavioral data from millions of global users into scalable strategies. We are looking for a high-caliber professional who thrives in ambiguity, sets high analytical standards, and translates complex insights into product decisions.
This is a full-time position based in Austin, TX
Product & ML Strategy Influence
- Own the analytical loop that influences our Product and Machine Learning strategies. Use data to identify untapped opportunities and define what we build next.
- Design, execute, and evaluate sophisticated experimentation frameworks (A/B testing, multivariate testing) to measure the impact of new product features and ML algorithms.
- Establish and govern key performance frameworks to align cross-functional teams on what success looks like.
Scalable Analytics & Frameworks
- Build reproducible data models, frameworks, and processes that allow the company to scale decision-making without reinventing the wheel.
- Design high-impact data visualization assets that democratize data access and enable self-service insights for both technical and commercial stakeholders.
Cross-Functional Leadership
- Act as the strategic data partner for engineering, product, and business teams, translating deep technical findings into actionable, high-level business recommendations.
- Raise the bar for analytical rigor across the organization, mentoring junior team members and establishing best practices.
Skills & Requirements
- Experience: 5+ years of proven experience as a Data Scientist or Product Analyst, preferably in high-growth tech environments or mobile ecosystems.
- Education: Bachelor’s or Master’s degree in a highly quantitative field (Mathematics, Statistics, Computer Science, Data Science, or Economics).
- Technical Mastery: Advanced proficiency in Python and SQL. Hands-on experience working with massive, complex datasets and modern cloud data warehouses
- Statistical Rigor: Solid understanding of statistical concepts, hypothesis testing, causal inference, and regression methodologies.
- Communication: Exceptional verbal and written communication skills in English. Ability to present complex technical conclusions to C-level executives and non-technical stakeholders with clarity and impact.
- Ownership & Autonomy: Proven track record of owning projects from ambiguity to measurable business outcome. You are comfortable building the playbook, not just following it.
- Work Authorization: Must have valid work authorization to work in the US. We do NOT provide VISA sponsorship for this role.
Preferred Qualifications (A Plus)
- Strong background in the ad-tech industry, mobile programmatic advertising (DSP/SSP), or user acquisition (UA) dynamics.
- Familiarity with mobile app measurement frameworks (MMPs) and concepts like LTV optimization or incrementality.
- Experience working with global, distributed cross-functional teams.
Please note that we do NOT provide VISA sponsorship. Candidates without a work authorization to work in the US won't be considered.
What is in it for you:
- Be part of a leading, fast-growing, innovative company shaping the future of mobile advertising.
- Join a highly motivated and young team.
- Possibility of traveling to the Barcelona HQ for collaboration and team-building activities after your first year.
- Great compensation package tailored to the U.S. market.
- Medical, dental, and vision benefits plans.
- Exposure to leading global app publishers and media partners in the digital advertising industry.
- Learning and training opportunities to grow your career.