Pessoa Especialista de Data Science (Freelancer) in Brazil, Indiana at Jobgether

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Pessoa Especialista de Data Science (Freelancer) based in Brazil.

This role offers the opportunity to apply advanced data science techniques to solve complex marketing and business challenges.
You will collaborate with multidisciplinary teams to transform large datasets into actionable insights that support strategic decisions.
The position combines analytics, machine learning, experimentation, and business understanding to create impactful data-driven solutions.
You will contribute to the development of predictive models, optimization strategies, and measurement frameworks for marketing initiatives.
Working closely with stakeholders and clients, you will translate technical findings into clear recommendations that drive performance.
This is an opportunity for a data science specialist who enjoys innovation, problem-solving, and applying technology to real-world business challenges.

The Data Science Specialist will be responsible for developing analytical solutions, building predictive models, and delivering insights that support marketing strategies and business growth. The role requires strong collaboration with different teams, technical expertise, and the ability to communicate complex analyses effectively.

• Collaborate with internal teams and stakeholders to understand client objectives, business goals, and data-driven opportunities.
• Participate in consulting projects, data product development initiatives, and the creation of analytical solutions and business proposals.
• Plan and execute data collection strategies from multiple sources, including internal databases, social media platforms, and marketing campaign data using APIs, web scraping, ETL processes, and other techniques.
• Perform exploratory data analysis to identify patterns, trends, data quality issues, and relevant business insights.
• Develop predictive models using machine learning and statistical techniques to support marketing initiatives, such as customer segmentation and churn prediction.
• Design, execute, and analyze experiments to evaluate marketing strategies and improve campaign performance, including marketing mix modeling (MMM), attribution models, and causal inference approaches.
• Maintain and continuously improve developed models, ensuring accuracy, relevance, and alignment with evolving business needs.
• Communicate analytical findings and recommendations clearly to marketing teams and clients through accessible reports and presentations.
• Create data visualizations and dashboards that help stakeholders understand performance metrics and strategic opportunities.

The ideal candidate is a Data Science professional with strong statistical knowledge, programming skills, and experience applying analytics to marketing and business challenges.

• Degree in Statistics or a related quantitative field.
• Previous experience with Marketing Mix Modeling (MMM) and statistical models applied to marketing is highly desirable.
• Strong proficiency in Python and R programming languages.
• Knowledge of machine learning techniques, including linear regression, logistic regression, decision trees, random forests, neural networks, and clustering algorithms.
• Ability to explore, clean, transform, and analyze large datasets while identifying data quality issues.
• Experience working with relational databases and SQL queries to extract relevant information from complex datasets.
• Knowledge of data preparation techniques, including normalization, handling missing values, and outlier treatment.
• Ability to create clear and impactful data visualizations using tools such as R, Python, Power BI, and/or Looker Studio.
• Familiarity with natural language processing techniques, including sentiment analysis, text classification, and entity recognition.
• Understanding of optimization algorithms applied to marketing challenges, such as campaign optimization, resource allocation, and customer segmentation.
• Knowledge of social media analytics methods and techniques.
• Understanding of marketing principles, digital marketing tools, analytics platforms, and media performance metrics.
• Ability to communicate technical insights effectively to both technical and non-technical audiences.

• Flexible hybrid work model, with office visits based on business needs and no fixed minimum frequency.
• Opportunity to work as part of a collaborative data team with more than 70 professionals across different areas.
• Exposure to challenging and impactful data projects for diverse clients and industries.
• Opportunity to work with rich datasets and develop innovative analytics solutions.
• Collaborative and friendly work environment focused on knowledge sharing.
• Opportunity to expand expertise in data science, machine learning, marketing analytics, and business strategy.