Senior Analyst, Data Scientist

The team you will be a part of

This role in summary

This role is responsible for analyzing consumer behavior and customer data to generate insights and analytical models that support strategic and operational decisions in a Digital D2C context.

The Data Scientist will work closely with cross-functional teams, applying exploratory analyses, analytical frameworks (such as Marketing Mix Modeling) and predictive models to solve business problems and create data-driven products that scale across the organization.

Your responsibilities will include

• Analyze consumer behavior across digital journeys, using:

  • Exploratory Data Analysis (EDA)

  • Marketing Mix Modeling (MMM)

  • Other analytical and causal frameworks to understand channel performance and customer decision paths;

• Perform deep-dive analyses on the customer base to:

  • Identify behavioral patterns, segments and trends;

  • Generate insights related to acquisition, conversion, retention and customer value;

• Design develop and maintain analytical models and data products that support business decision-making, such as:

  • Predictive and propensity models;

  • Performance and efficiency models;

  • Structured analytical frameworks reusable by business teams;

• Work in a multidisciplinary environment, collaborating with other data scientists, data engineers, machine learning engineers, developers and product owners to frame problems, define hypotheses and evaluate solutions;

• Translate complex analyses into clear, structured and actionable insights, ensuring stakeholders can confidently act upon data;

• Contribute to best practices in analytics, ensuring organization, documentation and reproducibility of analyses and models.

Minimum requirements

• 2+ years of proven experience as a Data Scientist;

• Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science or Engineering;

• Proficiency in Python and SQL for data analysis and modeling;

• Experience working with cloud environments (GCP and/or AWS);

• Experience handling large and complex datasets;

• Solid understanding of statistical concepts and methods (distributions, hypothesis testing, multivariate statistics, etc.);

• Experience with traditional Machine Learning techniques (classification, regression, time series, etc.);

• Strong problem-solving skills, with the ability to structure ambiguous business problems into analytical solutions;

• High level of organization and analytical rigor, ensuring clarity, consistency and reliability in analyses.

Preferred skills and experiences

• Experience in Digital, D2C, E-commerce or Growth environments;

• Experience with marketing analytics frameworks, such as MMM or attribution models;

• Familiarity with Google Analytics 4 and digital data collection concepts;

• Experience with Machine Learning frameworks (Scikit-learn, TensorFlow, PyTorch, etc.);

• Knowledge of version control tools (Git);

• Ability to communicate insights clearly, objectively and assertively to technical and non-technical audiences;

• Intermediate English (reading, writing and conversation).

What we offer

_Flexible schedule
_"No dress code"
_Gympass;
_Transportation voucher, Shuttle buses or Free parking at the company;
_Food voucher; 
_Meal on site;
_Benefits such as payment-deducted or social loans, health plan, dental plan, life insurance, and private pension plan compatible with the market;
_Employee Support Program, with 24-hour assistance from legal, social, financial, social workers, and psychologists;
_Daycare assistance or Nursery at the company;
_Services available on-site: beauty and aesthetics salon, internal bank agency, laundry, cafeteria, restaurant, and lactation room;
_Two weeks of remote work from anywhere; 
_After 5 years with the company, eligible employees can take four weeks of paid leave;
_Discount on products through Compra Certa.
_Discount on insurance (pet, auto, home, bike, travel, and more)
_Extended maternity/paternity leave
Learn more at https://www.whirlpoolcareers.com/trabalhe-conosco-no-brasil/