数据科学负责人
Lead Data Scientist
Blend 是一家领先的 AI 服务提供商，致力于通过数据科学、人工智能、技术和人才的力量，与客户共同创造有意义的影响。公司使命是激发大胆的愿景，通过无缝结合人类专业知识与人工智能来解决重大挑战。公司致力于通过世界级的人才和数据驱动的战略，为客户创造价值并推动创新。我们相信，人类与 AI 的力量可以对你的世界产生深远影响，为我们的员工和客户创造更加充实的工作和项目。更多信息，请访问 www.blend360.com
我们正在寻找一位高级数据科学家，以助力公司的下一轮增长和扩展。
这个职位是做什么的？
我们正在寻找一位高级数据科学家加入我们的团队，与一家在酒店行业的挑战性客户紧密合作。该职位高度实践，专注于利用数据支持营销和活动相关工作，衡量绩效，识别趋势，并生成可操作的见解。
理想的候选人应具备使用 Python、SQL、活动数据、营销分析、实验和绩效指标的丰富经验。该职位更侧重于实际的数据分析、活动衡量和业务影响，而非高级 AI 或复杂的机器学习建模。
候选人将与业务和技术利益相关者密切合作，将数据转化为洞察力，并支持数据驱动的决策。
- 分析活动和营销数据，识别趋势、模式、机会和绩效驱动因素。
- 使用 Python 和 SQL 开发和维护数据分析，以支持业务和营销计划。
- 定义、监控和分析关键绩效指标和活动 KPI。
- 支持 A/B 测试和实验，包括测试设计、分析和结果解读。
- 与大型和复杂的数据集协作，提取有意义的商业洞察。
- 与营销和业务利益相关者合作，了解分析需求，并将其转化为可行的解决方案。
- 构建和维护分析报告和仪表板，必要时使用 Tableau 等工具。
- 向技术及非技术利益相关者清晰传达分析结果和建议。
- 从问题定义到分析和交付，全面负责分析项目。
- 应用扎实的统计学和
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Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com
We are seeking a Lead Data Scientist to contribute to our next level of growth and expansion.
What is this position about?
We are looking for a Lead Data Scientist to join our team and work closely with a challenging client in the hospitality industry. This role is highly hands-on and focused on leveraging data to support marketing and campaign-related initiatives, measure performance, identify trends, and generate actionable insights.
The ideal candidate will have strong experience working with Python, SQL, campaign data, marketing analytics, experimentation, and performance metrics. The role is more focused on practical data analysis, campaign measurement, and business impact than on advanced AI or complex machine learning modeling.
The candidate will work closely with business and technical stakeholders, translating data into insights and supporting data-driven decision-making.
- Analyze campaign and marketing data to identify trends, patterns, opportunities, and performance drivers.
- Develop and maintain data analyses using Python and SQL to support business and marketing initiatives.
- Define, monitor, and analyze key performance metrics and campaign KPIs.
- Support A/B testing and experimentation, including test design, analysis, and interpretation of results.
- Work with large and complex datasets to extract meaningful business insights.
- Collaborate with marketing and business stakeholders to understand analytical needs and translate them into actionable solutions.
- Build and maintain analytical reports and dashboards, leveraging tools such as Tableau when applicable.
- Communicate analytical findings and recommendations clearly to both technical and non-technical stakeholders.
- Take ownership of analytical initiatives from problem definition through analysis and delivery.
- Apply strong statistical and analytical thinking to evaluate campaign performance and support business decisions.
- 5+ years of professional experience in Data Science, Data Analytics, Marketing Analytics, Campaign Analytics, or a related field.
- Strong hands-on experience with Python for data analysis and manipulation.
- Strong proficiency in SQL.
- Experience working with marketing, campaign, customer, or performance data.
- Experience with A/B testing, experimentation, and statistical analysis.
- Strong understanding of business and marketing metrics and how to evaluate campaign performance.
- Experience translating complex datasets into clear and actionable business insights.
- Experience working directly with business stakeholders and cross-functional teams.
- Experience with Tableau or similar data visualization/BI tools is preferred.
- Advanced academic background in Statistics, Data Science, Mathematics, Economics, Marketing Analytics, or a related field is preferred.
- Strong analytical thinking, problem-solving, and communication skills.
- What about languages?
- Advanced English proficiency is required, with the ability to communicate technical concepts clearly and effectively in a professional environment.
Our Perks and Benefits:
📚 Learning Opportunities:
· Certifications in AWS (we are AWS Partners), Databricks, and Snowflake.
- Access to AI learning paths to stay up to date with the latest technologies.
- Study plans, courses, and additional certifications tailored to your role.
- Access to Udemy Business, offering thousands of courses to boost your technical and soft skills.
- English lessons to support your professional communication.
👩🏫 Mentoring and Development:
· Career development plans and mentorship programs to help shape your path.
🎁 Celebrations & Support:
· Special day rewards to celebrate birthdays, work anniversaries, and other personal milestones.
- Company-provided equipment.
⚖️ Flexible working options to help you strike the right balance.
Other benefits may vary according to your location in LATAM. For detailed information regarding the benefits applicable to your specific location, please consult with one of our recruiters.