Senior Data Scientist

Description

**Who We Are** Mercafacil is a technology and intelligence company specialized in helping supermarkets grow more efficiently. With over a decade in the market, we are leaders in CBM—the evolution of CRM—transforming data into tangible results for the supermarket retail sector. We offer a 360° experience covering customer management, e-commerce, and trade collaboration with manufacturers—enabling retailers to better understand their customers, make smarter decisions, and improve outcomes using data, AI, and automation. Today, over 7,000 stores across Brazil trust Mercafacil to enhance their loyalty, communication, and performance strategies. **Our Values** Mercafacil’s values reflect our culture and guide everything we do—from developing solutions to how we engage with clients and partners. **People First** We place people at the center: clients, partners, and our team—because we believe strong human relationships inspire better decisions and outcomes. **Transparency in Everything** We act clearly, consistently, and ethically in every action, building trust and lasting relationships. **Driven by Creativity** We value unconventional thinking: innovating, testing, learning, and creating solutions that truly make sense in retail. **Always Better Than Yesterday** We believe in continuous improvement—learning from every experience and constantly striving to exceed our own results. **Obsessed with the Customer’s “WOW”** We aim to delight our customers with solutions that genuinely impact their business. **Inspiring Intelligence** We use data and technology to inspire smarter, more strategic decisions in retail. **Creators of Positive Experiences** We want every interaction—from first contact to platform usage—to be meaningful and positive for our customers. **Responsibilities and Duties** **Role Mission: What’s the Challenge?** ------------------------------------ You will bring statistical rigor to business decisions. On the BI team, your mission goes beyond descriptive analysis—you’ll apply statistical and machine learning models to uncover patterns, validate hypotheses, and generate predictions that inform real-world strategies. Day-to-day, you’ll model complex problems using Python, work with large-scale datasets in ClickHouse and BigQuery, and collaborate with product and operations teams to ensure models deliver tangible value. **Your Day-to-Day Will Include:** ------------------------ * Conduct statistical analyses to answer business questions: hypothesis testing, correlation analysis, segmentation, and predictive modeling; * Perform exploratory data analysis (EDA) to understand data before modeling—identifying patterns and inconsistencies; * Write complex SQL queries in ClickHouse and BigQuery for data extraction and preparation for analysis and modeling; * Use Python for data manipulation, exploratory analysis, and model prototyping; * Communicate results and insights clearly to business teams—translating statistics into actionable decisions; * Collaborate with the BI team on defining metrics, ensuring data quality, and establishing analytical best practices; * Monitor production models’ performance and propose ongoing improvements; **Requirements and Qualifications** **You’ll Be a Perfect Match If:** **** * Currently pursuing a bachelor’s degree in Statistics, Computer Science, Engineering, Mathematics, or a related field; * Proficiency in Python for data analysis; * Strong applied statistics knowledge: hypothesis testing, regression, probability distributions, confidence intervals; * Experience with supervised modeling: classification, regression, and familiarity with model evaluation metrics (MAPE, RMSE, etc.); * Solid SQL skills for complex analyses (CTEs, window functions, large-scale aggregations); * Good development practices: well-organized code, Git usage, basic testing; * Ability to work autonomously and communicate effectively across diverse teams; **You’ll Stand Out If You Have:** * Experience with ClickHouse and BigQuery; * Knowledge of the retail industry; * Experience with Spark for large-scale data analysis and processing; * Familiarity with orchestration or model versioning tools (e.g., Airflow or similar); * A portfolio showcasing applied statistical reasoning through analyses or projects. **Additional Information** **Mercafacil Benefits** We’re driven by people—and work daily to value them. Here’s what we offer: **Health First** * Sulamérica or Central Nacional Unimed health insurance (region-dependent) for you and your dependents—no monthly fee, with co-payment based on usage; * Odontoprev dental insurance for you and your dependents—no monthly fee, with co-payment based on usage; * Dasa telemedicine service offering various online care options, no physician referral required, and no co-payment; * Meu Doutor—family physician available for consultations with employees and active plan dependents; * Pregnancy Program (for employee or dependent), supporting a safer and more comfortable pregnancy, childbirth, and postpartum period; * Free flu vaccination for you and your dependents; * Prevenar 13 vaccine protecting against 13 types and subtypes of pneumococcal bacteria; * Life insurance; * Wellhub; * Extended maternity and paternity leave. **Caring for Those Who Make It Happen** * Flexible benefits via Caju card | VR/VA; * Birthday-off to celebrate your special day; * Day-off for moving house; * Extended honeymoon leave to enjoy your honeymoon calmly! * No dress code. **We Want Your Career to Soar!** **** * Performance reviews; * Corporate University; * Feedback culture and frequent 1:1 meetings. \#JoinMerca Mercafacil is a 360° solution that automates data generation, analyzes, and influences shopper behavior. Technology directly impacts retail results—but intelligence is essential in this process. Through AI and analytics powered by our platform, Mercafacil maps consumer behaviors, generating data and insights so our clients sell more—and sell better—both in physical stores and digitally. The transformation we bring to our clients and the impact we generate happen solely because of our people. We are highly selective in building our team—because it is these people who propel us to the next level. Our team is diverse, collaborative, tireless, and ready to win any challenge.