Data Scientist

Prozis is growing and Data is flying everywhere, do you think you can catch it? Prozis Data Analytics Team collaborates with multiple business stakeholders, including C-level, and has a value-driven proposition in the company.

As a Senior Data Scientist, you will be working in a multitalented team and your role will be analyzing large amounts of data, diving deep to identify business insights and opportunities, design simulations and experiments, developing statistical and ML models by tailoring to business needs, and collaborating with other Data Scientists, Data Analysts, Business Intelligence Engineers and Data Engineers.

You will be responsible for the following topics:

• Explore, clean, manipulate and analyze valuable data from different data sources with SQL, Python, Scala or equivalent;

• Translate product objectives to data science problems and vice-versa;

• Proactively perform data exploration to uncover future opportunities;

• Work with large and complex datasets, applying statistical analysis, data mining, and machine learning techniques to solve e-commerce business challenges;

• Develop and deploy predictive models for customer segmentation, demand forecasting, product recommendation, and customer lifetime value (LTV) measurement;

• Build and maintain data pipelines and interactive dashboards to monitor KPIs and support decision-making processes;

• Conduct exploratory analyses to identify patterns, trends, and improvement opportunities across the customer journey;

• Collaborate with Product, Marketing, Operations, and Technology teams to define metrics, test hypotheses, and propose data-driven improvements;

• Lead experimentation projects (A/B testing), ensuring methodological rigor and extracting actionable business insights;

• Mentor and support junior data scientists and analysts, fostering technical growth within the team;

• Clearly communicate analytical results to both technical and non-technical stakeholders, translating insights into strategic recommendations.

You are an amazing professional, with a degree in Computer Science, Applied Mathematics, Statistics, Physics or a related field, experience in a similar role and knowledge of at least some of the following:

• Solid experience (minimum 4 years) in data science, preferably within e-commerce, retail, or marketplaces;

• Ability to model analytical and statistical problems as well as different validation techniques;

• Strong knowledge of SQL;

• Python (or similar) programming skills using machine learning experimentation and development best practices;

• Experience with Data Visualization for technical & non-technical audiences;

• Knowledge of Big Data and Cloud technologies is a plus (PySpark, Spark, Hive, Azure, Databricks).

Nice to Have

• Experience with NLP (Natural Language Processing) techniques;

• Background in product recommendation systems, dynamic pricing, or optimization of digital marketing campaigns.

• Strong technical and analytical skills in the realm of Data;

• Proactivity and autonomy;

• Good collaboration and communication skills;

• Comfortable working in a fast-paced environment.