Remote Sr Data Scientist Analyst (Martech)

Description:

• RecargaPay is seeking a highly experienced Senior Data Scientist to lead the development of the Data Science area within the Marketing team.
• This position will be the first Data Scientist role in the marketing team, providing an opportunity to design and lead the data strategy to optimize marketing initiatives, campaigns, and processes.
• The candidate will develop and lead the data science strategy utilizing predictive analytics, machine learning, and advanced techniques to enhance marketing campaign efficiency and impact.
• Responsibilities include implementing data analytics solutions for audience segmentation, content personalization, marketing automation, and ROI measurement.
• The role involves collaboration with marketing, CRM, and MarTech teams to integrate data models that support data-driven decision-making.
• The candidate will develop dashboards and visualization tools for continuous monitoring of key KPIs, offering actionable insights for marketing teams.
• Best practices in data management will be defined and implemented, ensuring compliance with data privacy regulations such as GDPR.
• The candidate will train and guide future Data Science team members, fostering a culture of experimentation and continuous optimization.
• Acting as an ambassador for data use within the marketing team, the candidate will demonstrate the value of data analysis in influencing business outcomes and marketing strategies.
• The role includes identifying opportunities to integrate new MarTech technologies and tools to drive growth and efficiency.

Requirements:

• A degree in Computer Science, Mathematics, Statistics, Engineering, or a related field is required; a Master’s or Ph.D. is highly valued.
• The candidate must have 5+ years of experience in Data Science roles, preferably focused on marketing, customer data analysis, or marketing technologies (MarTech).
• Experience in leading data science projects from development to implementation with measurable impacts on marketing or sales strategies is essential.
• Proficiency in machine learning techniques, predictive analytics, and statistical modeling is required.
• Strong knowledge of programming languages and platforms such as Python, R, SQL, and Big Data platforms (e.g., Hadoop, Spark) is necessary.
• Advanced skills in data visualization using tools like Tableau, Power BI, or Looker are required.
• The ability to work with large data volumes, generate insights, and communicate results clearly to non-technical teams is essential.
• Excellent leadership and communication skills are necessary, with the ability to influence cross-functional teams and promote a data-driven culture.
• A strategic and results-oriented approach with experience in making impactful decisions is required.

Benefits:

• The position offers a unique opportunity to pioneer the integration of data science within the marketing team.
• Employees will collaborate with marketing, CRM, and technology teams in digital transformation and optimization of data-driven strategies.
• A dynamic and collaborative environment focused on innovation and continuous growth is provided.
• Benefits include medical and dental assistance without co-participation, life insurance, and a flexible meal voucher.
• Employees receive home office assistance with a monthly deposit in the RecargaPay app for personal use.
• Spanish classes, educational partnerships, and discounts in universities for undergraduate, graduate, and MBA courses are available.
• The company offers an "anywhere office" policy, allowing employees to work from wherever they choose.