Data Scientist

●

1 week ago

Greece, Attiki, Athens

Full Time

Senior

Hybrid

Basic Information

Pollfish, a Prodege, LLC company, is an online market research survey platform where data driven brands bring market research in-house for faster and smarter decision making. We have a proprietary network of 250M consumers/year which enables companies to connect with and understand real consumers worldwide in a fast, easy and cost-effective way.

We are currently looking for an experienced Data Scientist to join our team, which is based in Athens.

The position applies statistical and machine learning techniques to large-scale behavioral and transactional data to improve ranking, recommendation, and yield optimization. While this role partners closely with Engineering and ML Engineering teams, it does not own production deployment, infrastructure, or MLOps.

Responsibilities

Business Translation & Modeling Framework Design:

Partner with Product and other business stakeholders to frame business problems into well-defined modeling objectives and hypotheses.
Select appropriate modeling techniques (e.g., classification, regression, deep learning, reinforcement learning) based on use case and data characteristics.
Define success metrics and evaluation criteria that align model performance with business impact.
Document modeling assumptions, tradeoffs, and intended use to ensure clarity, transparency, and alignment across teams

Data Analysis & Feature Development

Perform analysis on large-scale behavioral and transactional datasets to identify patterns, drivers, and potential predictive signals
Engineer features from user behavior, lifecycle activity, offer attributes, and revenue data to support modeling objectives
Collaborate with ML team to ensure features properly registered within feature store

Model Development & ML Collaboration:

Leverage appropriate modeling frameworks and packages to build high performing predictive models
Perform model tuning, validation, and comparison using appropriate metrics, cross-validation, and offline testing frameworks
Interpret model outputs to assess business relevance, identify strengths and limitations, and validate against observed behavior
Leverage appropriate frequentist and Bayesian approaches to measure model performance and define strategies for balancing exploration and exploitation
Document modeling approaches, performance results, and learnings in model cards to support reuse, iteration, and long-term knowledge building
Enable ML team to deploy models; collaborate on retraining and maintenance plans

Requirements

Algorithm Design

Algorithm Development

Algorithm Optimization

Data Science

Python

SQL

Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field
Fluency in English
Three or more (3+) years of experience performing deep data analysis and training machine learning models
Strong foundation in machine learning and statistical modeling (classification, regression, ranking, optimization)
Experience with ranking, recommendation systems, and personalization models
Ability to apply AI and machine learning tools responsibly in support of predictive modeling, analysis, experimentation, and solution development, including validating outputs, documenting assumptions, and adhering to company security and confidentiality standards.
Fluency in Python and common ML libraries (scikit-learn, XGBoost/LightGBM, PyTorch, or TensorFlow)
Fluency in SQL and ability to work with large, event-level datasets in data warehouse environments (e.g., Snowflake, BigQuery, Redshift)
Experience with feature engineering, model evaluation, and performance diagnostics
Strong analytical reasoning and ability to translate business questions into modeling approaches
Clear communication skills, particularly in explaining model results and tradeoffs to non-technical stakeholders
Understanding of ML Ops concepts and the ability to collaborate effectively with ML Engineering and ML Ops teams
Excellent attention to detail
Proficiency in critical thinking and problem-solving

Benefits

An attractive salary package
Part of an innovative Global Tech Company
Meal Coupons - Monthly
Gym Subscription
Private Health Insurance
Weekly Office Events - Catered Lunch and Breakfast
Company Outings & Quarterly Events
Mental Health Benefits - Wellness Coach App Subscription
Great office location in the city center - Parking slots available
Quarterly Charitable Giving Allowance
Peer recognition Allowance

Good to have

Hands-on experience managing ML deployments and designing feature stores and registries
Experience with AI/ML frameworks such as LangChain, LLMs, and HuggingFace
Worked with distributed data processing frameworks (Spark, Ray, Flink, Trino).
Experience in loyalty programs or performance marketing or market research
Experience with contextual multi armed bandit algorithms or reinforcement learning
Understanding of Bayesian statistics inference (e.g., PyMC)

Data Scientist

Basic Information

Responsibilities

Requirements

Benefits

Good to have

About the company

About the company

Data Scientist

Basic Information

Responsibilities

Requirements

Benefits

Good to have

About the company

About the company