Headquarters: Florida
URL: https://ivisa.com
We’re growing! Don’t miss the opportunity to be part of our global team as our Data Scientist
About us
At iVisa we believe that traveling should be simple. That’s why over 1 million travelers have chosen us to facilitate their passports, visas, and other documents. We are the easiest, fastest, and simplest solution in the market. Our company is growing 80% year on year. We know our biggest strength is our people and we’re looking for the right new team members to help propel our culture and achieve our goals. Above all else, we always have fun!
As a Data Scientist, you will leverage advanced analytics and machine learning to solve critical business challenges tied to customer acquisition, retention, and competitive positioning. You will collaborate with cross-functional teams (Product, Growth, Operations, and Engineering) to deliver data-driven solutions that directly impact our bottom line.
Why iVisa?
- Collaborative, friendly, and diverse culture: We foster an inclusive and vibrant atmosphere, featuring a dynamic and international environment with flat hierarchies and exceptionally amiable colleagues.
- Work from anywhere: We embrace a remote-first approach, yet we offer the opportunity for periodic in-person gatherings.
- Mental wellness sessions: Our sessions are led by certified psychologists to support your mental health.
- Training Allowance: Access an outstanding learning platform to facilitate your professional growth.
- Extended Family Leave policy: Our policy covers all birthing parents, non-birthing parents, and adopting parents.
- Thrive in a highly tech-savvy company equipped with cutting-edge tools and the power to make a substantial impact.
- Join us in our commitment to the planet and sustainability: For every iViser, we plant one tree, allowing you to contribute to our environmental initiatives.
- Rest and Relaxation: We offer flexible PTO for all employees.
As a Data Scientist , you’ll be responsible for
- Conversion Rate Optimization (CRO)
- Analyze customer journey data to identify friction points in the conversion funnel.
- Design and implement A/B tests, causal inference models, and predictive analytics to improve website and campaign performance.
- Partner with Growth to translate insights into actionable strategies for increasing lead-to-customer conversion rates.
- Pricing Strategy & Competitive Analysis
- Develop machine learning models to assess price elasticity and sensitivity across customer segments.
- Monitor competitor pricing dynamics and recommend data-driven pricing adjustments to maximize revenue and market share.
- Collaborate with Product teams to align pricing strategies with customer value perception.
- Customer Experience & Sentiment Analysis
- Apply NLP techniques to analyze customer feedback, surveys, and support interactions.
- Identify pain points in the user experience and provide actionable recommendations to reduce churn and improve satisfaction.
- Build predictive models to anticipate customer needs and personalize engagement.
- Paid Media Efficiency
- Evaluate ROI of digital marketing campaigns (Google Search, Paid ads) using attribution modeling and multi-touchpoint analysis.
- Optimize budget allocation by identifying high-performing channels, keywords, and audience segments.
- Forecast customer acquisition costs (CAC) and lifetime value (LTV) to inform marketing strategies.
- Advanced Analytics & Innovation
- Develop predictive models for demand forecasting, capacity management, and dynamic pricing.
- Explore AI/ML opportunities to enhance product recommendations, fraud detection, and operational efficiency.
- Document methodologies and present findings to stakeholders in clear, business-oriented terms.
What will make us choose you?
- Bachelor’s/Master’s in Data Science, Computer Science, Statistics, or a related field.
- Technical Expertise:
- Expert-level proficiency in Python and ML frameworks such as TensorFlow, PyTorch, Scikit-Learn.
- Advanced SQL skills for complex querying and data manipulation.
- Experience with ML pipelines, A/B testing frameworks, and NLP libraries (e.g., spaCy, Hugging Face).
- Experience with big data technologies (e.g., Spark, Databricks) and cloud platforms (AWS preferred).
- Familiarity with BI tools (Tableau, Looker).
- Business Acumen:
- Ability to align technical work with business KPIs (conversion rates, CAC, LTV).
- Strong analytical and problem-solving skills with the ability to translate complex data into clear business insights.
- Communication:
- Strong storytelling skills to present insights to non-technical stakeholders.
Preferred Qualifications
- 2+ years of experience in data science individual contributor roles, preferably in travel tech, e-commerce, or SaaS.
- Hands-on experience building ML and predictive models required.
- Knowledge of digital marketing ecosystems (Google Analytics, Google Ads, SEMRush).
iVisa ensures equal employment opportunity to all employees and applicants without discrimination or harassment based on race, religious creed, color, age, sex, sexual orientation, gender identity, national origin, marital status, or medical condition.
To apply: https://weworkremotely.com/remote-jobs/ivisa-data-scientist
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