Data Scientist Specialist II – Measurement

This is a fully remote position, open to applicants anywhere in the world.

📋 Description

• Design, oversee, and assess intricate A/B tests and experiments to validate business hypotheses, ensuring decisions are statistically sound.

• Develop sales performance metrics for products and create solutions that enhance portfolio profitability.

• Create descriptive and predictive data science solutions aimed at optimizing processes, allocating resources, and supporting decisions in health and portfolio performance areas.

• Manage all phases of the data science solution lifecycle: understanding business needs, studying and preparing variables, mathematical/statistical modeling, validating performance, supporting model deployment to production, and measuring outcomes.

• Work collaboratively with the functional area on the design, application, and oversight of models.

⛳️ Requirements

• Strong expertise in Python for data analysis and SQL.

• Solid grasp of statistics, including hypothesis testing, distributions, sample size/power calculations, and significance.

• Proficiency in causal inference techniques to accurately determine the true incremental impact of proposed solutions and prevent analytical false positives (e.g., synthetic controls, difference-in-differences).

• Practical expertise in A/B testing methodologies and Design of Experiments.

• Experience with machine learning models, including interpretation and evaluation of metrics.

• Analytical, critical, and creative thinking skills to devise solutions that meet diverse needs.

• Keen interest in expanding knowledge of the business domain, including processes, metrics, and key challenges.

• Familiarity with version control (Git) and Cloud environments (GCP).

• Proficiency with AI tools (e.g., GitHub Copilot or Cursor) to enhance coding, testing, and documentation efficiency.

• Ability to conduct requirements analysis and work autonomously, leading requirements gathering, translating business needs into technical scope, and managing end-to-end execution independently.

• Comfortable working in flat, multidisciplinary teams.

• Experience with generative AI agents applied to data products (e.g., NotebookLM, Gems).

• Previous experience in retail, consumer goods, or product portfolio management.

• Postgraduate degree in relevant fields such as statistics or data science.

🏝️ Benefits

• Medical and dental insurance

• Medication allowance

• Health benefits for family members

• Complimentary psychotherapy sessions

• Telemedicine services and second medical opinions

• Free flu vaccine

• Health and wellness programs

• Meal voucher or local restaurant voucher (depending on work model)

• Food allowance

• Christmas food allowance

• Gym and fitness studio plan

• Home office allowance (for hybrid and remote work models)

• Pet health plan

• Birthday day off

• Up to 40% discount on our products

• Employee association benefits (partnerships and discounts, multi-brand store, TotalPass gyms, courses, and more)

• Travel and accommodation program

• Childcare assistance

• Child nutrition credit

• Babysitter allowance

• School supplies allowance

• Legal, psychological, and social counseling

• Support for atypical parents

• Extended parental leave (180 days for mothers and 120 days for fathers)

• Commuting allowance and parking (hybrid and on-site models)

• Life insurance

• Bereavement support for parents

• Private pension plan

• Payroll-deductible loans