We are DP6!
We optimize marketing efficiency through data science, innovation, and AI.
We are a Marketing Analytics consultancy. Through data exploration technologies (business, marketing, analytics, big data), we monitor and analyze all points of contact between consumers and brands. With over 16 years of market experience, we are a market leader in Martech in Latin America (Analytics and Intelligence category) and since 2012 we have been ranked by Great Place to Work, being considered the 11th best company to work for in Brazil.
Reinvent marketing with AI.
If you want to work with data, marketing, and stay up-to-date with the latest advancements in Artificial Intelligence, this is your chance. Here, you'll have the opportunity to participate in projects that explore the potential of AI applied to marketing and personalization at scale. All our data science, business analytics, and data engineering teams are involved in this journey, collaborating to transform challenges into innovative solutions for our clients.
We are looking for a Data Science professional to work on challenging projects directly applied to the world of Marketing. If you are passionate about statistics and machine learning, have deepened your knowledge of causal inference and Bayesian inference, and seek to transform this knowledge into innovative solutions with real impact on day-to-day business, this could be the ideal opportunity.
It is important to have sharp analytical reasoning, strategic vision, creativity, and enthusiasm for developing and applying innovative and impactful solutions for our clients.
Responsibilities
- Applying advanced techniques such as Bayesian inference to improve the accuracy and interpretability of statistical models.
- Conduct incremental studies (quasi-experiments) and marketing mix modeling (MMM) models.
- Interact with internal and external stakeholders to identify opportunities for analysis and propose data-driven solutions.
- Working with large volumes of data, including browsing data and first-party databases, to develop projects such as propensity models, churn analysis, recommendation systems, forecasting, media attribution, segmentation, predictive LTV, and causal inference.
- Perform exploratory analysis, data cleaning and processing, development and monitoring of statistical models following methodologies such as CRISP-DM and KDD.
- Share insights with the team and the client through storytelling using data, dashboards, and strategic presentations.
- To contribute to the continuous evolution of production models and solutions.
Requirements
- Programming in R or Python for data analysis.
- Knowledge of SQL.
- Knowledge and application of causal inference and Bayesian inference techniques.
- Descriptive, inferential, and probabilistic statistics, and hypothesis testing.
- Experience with supervised and unsupervised learning algorithms.
Our Benefits
- Meal or food allowance.
- Home Office Allowance.
- PLR.
- Health insurance plan.
- Dental Plan.
- Life insurance.
- Childcare assistance.
Health and Wellness:
- Flexible hours, hybrid work.
- Partnership with Vittude - a mental health platform.
- DP6 Care - legal, financial and social support.
- 6-month maternity leave.
- Paternity leave of 20 days, which can be combined with vacation time.
Professional Development:
- Continuing Education Program (15% of annual salary to be used as a subsidy for courses, events, lectures, workshops, etc.), eligible after 3 months of employment.
- Subsidy for English and Spanish courses.
- Covering the costs of certifications for the most relevant tools on the market (e.g., Google, Facebook, Adobe Analytics, Salesforce, etc.)
- Innovation Center. 10% of work time dedicated to studies and innovation.
- Structured career plan.
- Semiannual performance evaluation.
- Career Mentoring Program, from the beginning for all levels.
If you're interested in using data science to transform marketing with statistical depth and real impact, DP6 is the place for you!
About the company
DP6 is a marketing intelligence and performance consultancy that applies science and technology to explore data on the touchpoints between consumers and brands, in order to optimize business and results. Using cutting-edge technologies, it leverages its experience from over 500 developed projects to contribute to the digital maturity of companies and the development of a data-driven marketing culture.
