Applying here? Try the free cover letter tool — paste this posting and your résumé, no account needed.
About the role
You will analyze large datasets using SQL and Python to generate actionable insights and build dashboards for internal decision-making. Additionally, you will contribute to the development and ownership of machine learning models to improve listing ranking and visibility.
What they look for
Requirements
Candidates must have 0-2 years of experience in a data-related role with strong proficiency in SQL and Python. A solid understanding of statistics and experience with data visualization tools are also required.
Benefits
Full description
Company Overview
Otamiser is a leading SaaS provider specializing in listing optimization on OTAs for the hospitality industry. We empower our clients to maximize their listings’ ranking, visibility, and bookings through data-driven insights and intelligent optimization. At Otamiser, we value collaboration, ownership, and continuous learning, offering an environment where early-career data scientists can grow and make a real impact.
Role Overview
As a Data Scientist (0–2 years), you will work at the intersection of analytics, machine learning, and product. You will analyze listing and performance data, build dashboards to support internal decision-making, and contribute to the development and ownership of data models that improve ranking and visibility on OTAs.
You will collaborate closely with the data science and product teams on analytics, modeling, and decision support.
Key Responsibilities
- Analyze large datasets using SQL (PostgreSQL, BigQuery) and Python to generate actionable insights.
- Build and maintain Looker dashboards and analytical reports to support internal product and business decisions.
- Perform exploratory data analysis to identify trends, anomalies, and optimization opportunities.
- Support and gradually own machine learning models related to ranking, visibility, and performance.
- Translate business and product questions into clear metrics and analytical frameworks.
- Collaborate closely with data scientists and product managers on feature design and evaluation.
- Ensure data quality, consistency, and reliability across analyses.
- Document analyses, assumptions, and methodologies clearly.
Requirements
Must-Have
- 0–2 years of experience in a Data Scientist, Data Analyst, or similar role (including internships or strong academic projects).
- Strong SQL skills for analytics.
- Experience using Python for data analysis and modeling (Pandas, NumPy, Scikit-learn or equivalent).
- Solid understanding of statistics and analytical reasoning.
- Experience building dashboards or analytical reports to support decision-making.
- Ability to communicate insights clearly to technical and non-technical stakeholders.
- Strong curiosity, ownership mindset, and willingness to learn.
Nice-to-Have
- Experience with BigQuery or cloud data warehouses.
- Familiarity with Looker or other BI tools.
- Exposure to machine learning models in applied or production-like contexts.
- Experience working with product teams.
What We Offer
- 💰 Employment contract of unlimited duration with a competitive salary package.
- 🌱 Scope for growth and personal development.
- 🌎 A start-up on the verge of international growth.
- ⏳ Flexible working hours.
- 💻 A remote work model.
Similar roles
-
Senior Analytical Data Scientist
Satomic San Diego, California, United States · $165K–$180K/yr
-
Senior Data Scientist, Lucie
Oscar Health New York, New York, United States · $164K–$215K/yr
-
Sr. Data Scientist
Chubb Jersey City, New Jersey, United States · $125K–$183K/yr
-
Data Scientist
NielsenIQ Ciudad de México, Mexico
-
Senior Data Scientist, Fraud
Oscar Health New York, New York, United States · $164K–$215K/yr
-
Data Scientist
Fairview Health Services Minneapolis, Minnesota, United States · $115K–$162K/yr