Job description
We are seeking a highly skilled and experienced Data Scientist to join our team. The primary responsibility of this role will be the development and integration of a predictive Lifetime Value (pLTV) model specifically for our s ubscription applications. This role requires a strong understanding of statistical modeling, machine learning, and data engineering principles, with a focus on delivering actionable insights to drive business growth. At Leadtech, we’ve been redefining digital businesses since 2009, creating innovative online solutions that reach millions of users every month. With a diverse team of over 800 members from 23+ nationalities, we’re united by a passion for creativity and collaboration.
We specialize in delivering user-centric experiences across web and mobile platforms, where people can connect with our products like never before.
We’re proud of our global reach and committed to fostering an inclusive workplace where every individual contributes to our shared vision of bringing cutting-edge projects to life. Learn more about our journey and mission on our About Us page!
- Model Development: Design, develop, and implement advanced pLTV models for subscription applications, utilizing various machine learning techniques and statistical methodologies.
- Data Acquisition & Preparation: Collaborate with data engineers to ensure the availability of clean, reliable, and relevant data for model development and ongoing maintenance. This includes identifying necessary data sources from subscription apps.
- Model Validation & Evaluation: Rigorously validate model performance, assess accuracy, and continuously refine models based on new data and business requirements.
- Integration: Work closely with engineering,product and marketing teams to seamlessly integrate the pLTV model into existing systems and workflows.
- Performance Monitoring: Establish and maintain robust monitoring mechanisms to track model performance, identify potential issues, and ensure long-term accuracy.
- A/B Testing & Experimentation: Design and execute A/B tests to evaluate the impact of pLTV-driven strategies and optimizations.
- Reporting & Communication: Clearly communicate complex analytical findings, model insights, and recommendations to both technical and non-technical stakeholders.
- Research & Innovation: Stay abreast of the latest advancements in data science, machine learning, and LTV modeling, and proactively identify opportunities for innovation.
Qualifications:
Education: Master’s or Ph.D. in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
Experience: 3+ years of experience in data science, with a proven track record of developing and deploying predictive models in a production environment, specifically with subscription-based businesses.
Technical Skills:
- Proficiency in Python and/or R.
- Strong experience with SQL for data extraction and manipulation.
- Solid understanding of machine learning algorithms (e.g., regression, shifted beta geometric, classification, time series analysis, retentioneering, deep learning, beta geom regression, and others).
- Experience with big data technologies (e.g., PySpark, Spark) is a plus.
- Familiarity with cloud platforms (e.g., GCP, BigQuery) for data science workflows.
Domain Knowledge:
- Deep understanding of customer lifetime value (LTV) concepts and methodologies.
- Experience working with subscription-based business models and their unique data characteristics.
- Familiarity with A/B testing frameworks and experimental design.
Soft Skills:
- Excellent problem-solving and analytical skills.
- Strong communication and presentation abilities.
- Ability to work independently and collaboratively in a fast-paced environment.
- Detail-oriented with a commitment to data accuracy and model integrity.
WHY SHOULD YOU JOIN US?
Growth and career development
- At Leadtech, we prioritize your growth. Enjoy a flexible career path with personalized internal training and an annual budget for external learning opportunities.
Work-Life balance
- Benefit from a flexible schedule with flextime (7 - 9:30 a.m. start, 3:30 - 6 p.m. end) and the option of working full remote or from our Barcelona office. Enjoy free Friday afternoons with a 7-hour workday, plus a 35-hour workweek in July and August so you can savor summer!
Comprehensive benefits
- Competitive salary, full-time permanent contract, and top-tier private health insurance (including dental and psychological services).
- 25 days of vacation plus your birthday off, with flexible vacation options—no blackout days!
Unique Perks
- If you wish to come, in our office in Barcelona you’ll find it complete with free coffee, fresh fruit, snacks, a game room, and a rooftop terrace with stunning Mediterranean views.
- Additional benefits include ticket restaurant and nursery vouchers, paid directly from your gross salary.
Join us in an environment where you’re free to innovate, learn, and grow alongside passionate professionals. At Leadtech, you’ll tackle exciting challenges and be part of a vibrant team dedicated to delivering exceptional user experiences
Equal Employment Opportunity Employer:
“Leadtech is an Equal Employment Opportunity (EEO) Employer, which means we encourage applications from people with different backgrounds, interests, and personal circumstances. Our team welcomes applicants regardless of their race, gender, age, religion, nationality, sexual orientation, gender identity, gender expressión and/or disabilities. All we need is your high energy, skills, and willingness to be a part of a great project!”
Location
You’ll have the flexibility to choose whether you’d like to come to the office every day, from time to time, or work fully remote. We want you to find the best combination for you.
If you prefer to be surrounded with amazing people, our exceptional office is in Barcelona’s Blue Building, located right on the city’s seafront. Besides our stunning views, you’ll enjoy our office perks such as free fruit, snacks, and coffee and you’ll also be able to take part in our Mario Kart and table tennis competitions.
