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Data Scientist at ebiquity – Sofia | Jobyssey

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Data Scientist

Data Scientist

ebiquity · Sofia · 1 month ago

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Work mode: Hybrid
Category: Data science
Experience: 1+ years

analytics aws azure causal-inference cloud data-science gcp git machine-learning python sql statistics time-series

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The Data Scientist will develop analytic models and automation tools using R and Python to help advertisers optimize their marketing spend. The role involves interpreting data to provide actionable insights and requires proficiency in statistical modeling techniques.

You will join our Data Science team and help turn client data into reliable models and reusable analytics tooling. This is a hands-on modelling and engineering role: you will spend your time on data, code, and statistical methods.

Prepare, clean, and quality-check datasets using SQL and Python or R
Build and validate statistical models, including regression, machine learning, and forecasting
Apply sound statistical thinking, including a working understanding of Bayesian ideas (priors, uncertainty, posterior interpretation)
Automate recurring analysis so the team can reuse pipelines, functions, and tools
Use Git to work with the team’s codebase
Document methods and results clearly so others can review, rerun, and present the work

1–2 years in an Analytics or Data Science team
Degree in Computer Science, Data Science, Statistics, Mathematics, Economics, or a related quantitative field
Strong coding in Python or R (both is a plus)
SQL
Solid statistics: regression, machine learning fundamentals, and model validation
Working understanding of Bayesian methodologies
Comfortable with Git
Fluent English, written and spoken
Intellectually curious, organised, and able to work independently on well-scoped problems

Nice to have

Hands-on Bayesian tooling (Stan, PyMC, brms, or similar)
Cloud familiarity (AWS, Azure, or GCP)
Experience in media, marketing, or marketing-effectiveness work
Time series, causal inference, or test design

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