Data Science Analyst

Rise; Ciudad de México; On-site; MXN 420,000 - 660,000; Full time

Job summary

Rise is seeking a Data Scientist to join the Insights and Analytics team in Mexico City. You will execute modeling projects, cleanse and format data, and develop pipelines to support media planning and optimization.

You will analyze engagement, conversions, and ROI, translating complex findings into actionable insights. You will collaborate with media planners, marketing strategists, and data engineers to align analytics with broader media strategy.

Qualifications

• Degree in data-related field required; master's preferred.
• Proficiency in Python or R for data analysis and modeling.
• Experience with Pandas/NumPy for data manipulation.

Responsibilities

• Load, execute, and refine statistical and ML models to assess media effectiveness.
• Develop data pipelines to support media planning and optimization.
• Analyze media performance data and translate results to actionable insights.
• Collaborate with cross-functional teams to align data insights with strategy.

Skills

Python

R

SQL

Pandas

NumPy

Scikit-learn

TensorFlow

Data visualization

Communication

Education

Bachelor's degree in Data Science/Statistics/CS/Math

Master's degree preferred

Tools

SQL

Tableau

Power BI

Python

R

TensorFlow

Job description

Rise is an award-winning , full-service Media Agency of Record that is backed by data and powered by people. We create omnichannel experiences using our proprietary tech stack and advanced analytics capabilities to help solve the unique struggles brands face today. This approach, with transparency at its core , specializes in omnichannel media, commerce and retail media, advanced in-home media, as well as content and creator marketing. We offer "Risers" the opportunity to work in an ever-evolving industry that will foster learning and development, provide an innovative work environment with diverse projects and clients, career advancement paths a collaborative team environment, corporate social responsibility initiatives, an inclusive and diverse culture, plus association with a reputable media agency.

GENERAL PURPOSE OF JOB

As a Data Scientist on Quad's Insights and Analytics team, you will play an important role in driving the effectiveness of media campaigns through advanced data analysis. You will be responsible for executing modeling projects using a variety of home-grown and 3 rd -party tools. This includes data cleansing, formatting, loading, execution, model evaluation, and result reviews. Location: Mexico City, 3 days in office; Model Execution: Load, execute, and refine statistical and machine learning models to assess and improve media effectiveness. Develop processes and data pipelines to support media planning and optimization. Data Analysis: Conduct thorough analyses of media performance data, including engagement metrics, conversion rates, and ROI. Translate complex data findings into clear, actionable insights. Collaboration: Work closely with cross-functional teams, including media planners, marketing strategists, and data engineers, to ensure alignment of data insights with overall media strategy. Continuous Improvement: Stay curious about the latest industry trends and advancements in data science and media analytics. Proven experience in data science, particularly in building and deploying predictive, explanatory, or decomposition models. Strong proficiency in statistical analysis and machine learning techniques. Experience with data visualization tools and techniques for effective communication of insights. Strong verbal and written communication skills, with the ability to present complex data clearly and understandable. Good English proficiency, recognizing that your manager is bilingual and will aid where necessary. Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or a related field. A Master's degree or higher is preferred. Minimum of 1-3 years of experience in data science or analytics, with a focus on media effectiveness, marketing analytics, or related areas. Technical Skills: Proficiency in programming languages such as Python or R. Experience with data manipulation and analysis libraries (e.g., Pandas, NumPy) and machine learning frameworks (e.g., Scikit-learn, TensorFlow), mathematical and statistical modeling, Bayesian methods, optimization techniques, and simulation. Data Tools: Expertise in SQL for querying databases, and familiarity with data visualization tools such as Tableau, Power BI, or similar. Analytical Thinking: Strong analytical and critical thinking skills to interpret data and develop actionable insights. Ability to convey complex data insights and technical information to non-technical stakeholders. Time Management: Ability to manage multiple projects simultaneously, prioritize tasks, and meet deadlines.