Company Overview
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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. xphnsxz
A hybrid/remote work model.
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