The Tribe
Prozis is a powerhouse product developing company. Every day we create new products using our proprietary technology, ensuring high quality, attractive design, and fair pricing. We follow a 4.0 vertical process, manufacturing in our own facilities or with trusted partners. Our activities include idea generation, concept development, design, manufacturing, quality control, marketing, sales, logistics, printing, distribution, client support, software development, photography, videography, 3D work, and philosophy. We deliver worldwide, whenever you need us. We are committed to excellence and innovation, driven by a passion for technology and design. Founded in 2007 by a visionary in a garage, we have grown into a team of hundreds, aiming for thousands, focused on our mission to improve lives through our products.
- Miguel Milhão
The Team
As Prozis grows and data flows rapidly, do you think you can keep up? Our Data Analytics Team collaborates with various business stakeholders, including C-level executives, providing value-driven insights across the company.
The Role
As a Business Data Scientist, you will analyze large datasets, identify business opportunities, design simulations and experiments, develop tailored statistical and machine learning models, and collaborate with Data Scientists, Data Analysts, Business Intelligence Engineers, and Data Engineers. Your responsibilities include:
1. Exploring, cleaning, manipulating, and analyzing data from various sources using SQL, Python, Scala, or similar tools;
2. Translating product objectives into data science problems and vice versa;
3. Designing, developing, and deploying machine learning models to enhance customer engagement, personalize shopping experiences, and optimize operations;
4. Performing proactive data exploration to uncover future opportunities.
You
You are a skilled professional with a degree in Computer Science, Applied Mathematics, Statistics, Physics, or related fields, with experience in similar roles and knowledge of:
- Modeling analytical and statistical problems and validation techniques;
- SQL proficiency;
- Python or similar programming skills, following best practices in machine learning experimentation and development;
- Data visualization skills for both technical and non-technical audiences;
- Knowledge of Big Data and Cloud technologies (Hadoop, Spark, Hive, Azure, Databricks) is a plus.
Superpowers
- Strong technical and analytical skills in data;
- Proactivity and autonomy;
- Effective collaboration and communication skills;
- Ability to thrive in a fast-paced environment.
Note: Prozis is not for everyone.
According to Prozis Group's Recruitment Policy, individuals with disabilities, under Law No. 38/2004, of 18/08, whose applications have not been acknowledged or responded to within 30 days, may request a detailed explanation and re-evaluation through the complaints channel at www.prozis.com, under 'rights and protection of individuals'.
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