We are a company made of people and for people. With a solid and inclusive foundation, MC focuses on people to make life simpler for customers, employees, and community members. We create value with everyone’s contribution, we innovate at every step, and we lead closely, paying attention to each person’s qualities and needs. We have different stories and different ideas, but we share the desire to grow and become the best version of ourselves. Everything we are, we achieve together. And there is nothing more inspiring than that.

So, if you want to be part of this team and take on new challenges, we are looking for you!

We are looking for an Data Scientist to join our Value Center of Excellence team, and we believe we will be #betterwithyou!

This is not your typical data science role. We’re looking for someone who’s not only passionate about building impactful machine learning models but also thrives on translating those insights into business value. You’ll be a key player in bridging the gap between data and decision-making, working closely with commercial teams to ensure our solutions drive real-world impact.

Your mission is to challenge the status quo and support our strategic vision with innovative, data-driven solutions. You’ll contribute to high-impact projects that shape the future of our organization — from optimizing pricing strategies to uncovering new growth opportunities.

We count on you to…

• Designing and developing machine learning models to support strategic initiatives (e.g., discount optimization, promotional effectiveness, customer segmentation)
• Translating complex data into actionable insights through compelling visualizations and storytelling
• Collaborating with commercial teams to understand business needs and help “sell” the value of data-driven solutions
• Supporting project teams with analytical guidance and thought leadership
• Identifying trends, patterns, and opportunities in large datasets to inform strategic decisions

So, bring with you…

• A strong academic background in a quantitative field (e.g., Mathematics, Economics, Engineering)
• 1-2 years of experience in data science, advanced analytics, or a related field
• Proficiency in tools and technologies such as:
  • Programming: Python, Spark
  • Query languages: SQL, Hive, Impala
  • Data visualization: Power BI, MicroStrategy, or similar
• Excellent communication skills and a collaborative mindset — you’re comfortable engaging with both technical and non-technical stakeholders
• A business-oriented approach to data science, with a passion for turning insights into impact

What you will find…

• Collaborative work environment;
• A dynamic team;
• Career progression and internal mobility opportunities;
• A cohesive and leading company in the retail sector.

What we have for you…

• Meal Allowance in Dá Card;
• Telecommunications Plan with voice, data, and equipment for permanent employees;
• Flex it Up Program - Extra Off Days, Unpaid Leave, Flexible Work Model (when applicable);
• Health and Life Insurance (for permanent employees) with the possibility of extending Health Insurance to family members with advantageous conditions;
• Flexible Benefits Program (when applicable);
• Onboarding and Initial Training Plan, Continuous Training platform, and Financial Literacy Program;
• School Awards and Merit Scholarships for employees’ children (regular and inclusive education), as well as Holiday Programs during school breaks;
• Flu Vaccine including its administration (voluntary participation)
• We Are Sonae Program, providing psychosocial, financial and legal support to employees;
• Ergocoaching Sessions;
• Mental Health Promotion Programs and Nutrition Consultations;
• Discount and Partnership Program with over 300 leading brands;
• Free coffee and fruit available at the workplace;
• Competitive Salary.

#BETTERTOGETHER #BETTERWITHYOU

MC Sonae D&I Commitment:

We work to create a work environment based on the richness of profiles and focused on uniqueness, ensuring that everyone feels respected, valued for their skills, and confident in the organization.