Data Science Specialist

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Collaborate closely with various departments within the agency to grasp clients' objectives, goals, and requirements.

• Engage in consulting projects, the creation of data products, and the formulation of commercial proposals.

• Strategize the gathering of pertinent data from multiple sources, including internal databases, social media data, and marketing campaign data utilizing web scraping, APIs, ETL, etc. Conduct exploratory analyses to uncover patterns, trends, and valuable insights.

• Apply machine learning and statistical methodologies to create predictive models suitable for marketing initiatives, such as churn prediction and customer segmentation.

• Design, implement, and analyze tests and experiments to assess the effectiveness of various marketing strategies, and suggest enhancements to marketing campaigns: Marketing Mix Modeling (MMM), attribution models, and causal inference.

• Ensure ongoing maintenance of developed models, guaranteeing their accuracy and relevance over time. Update models as required based on new data and evolving business needs.

• Clearly and effectively communicate data analysis findings and insights to the marketing team and clients. Present results in an easily understandable manner, emphasizing key discoveries and their implications.

⛳️ Requirements

• Education: Bachelor's degree in Statistics.

• Previous experience with Marketing Mix Modeling (MMM) and statistical models for marketing is preferred.

• Proficient in Python and R.

• Familiar with machine learning techniques such as linear regression, logistic regression, decision trees, random forests, neural networks, and clustering algorithms.

• Skilled in data exploration, identifying quality issues, and effectively visualizing and summarizing datasets.

• Knowledge of relational databases and ability to query large datasets using SQL to extract relevant data.

• Experience in data cleaning, normalization, transformation, handling missing values, and outlier treatment.

• Capable of creating clear and engaging visualizations to effectively communicate insights and analysis results using R, Python, Power BI, and/or Looker Studio.

• Familiar with natural language processing techniques, such as sentiment analysis, text classification, and named entity recognition.

• Understanding of optimization algorithms for marketing challenges, including campaign optimization, resource allocation, and customer segmentation.

• Knowledgeable in social network analysis methods and techniques for analyzing social network/social media data.

• Acquainted with fundamental marketing principles and concepts to comprehend agency clients' needs and objectives, applying data science in a relevant manner.

• Understanding of media metrics (online and offline), acquisition and business metrics, along with digital marketing and analytics tools.

🏝️ Benefits

• Hybrid and flexible work model — office attendance as needed, with no minimum requirement.

• A highly friendly environment; the team collaborates with other data departments totaling over 70 individuals.

• Numerous opportunities to engage in significant projects, given Almap's client portfolio and robust client relationships that provide access to diverse internal data.