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 with strong experience in marketing analytics to join a high-impact, client-facing team. This role focuses on Marketing Mix Modeling (MMM), including model development, data pipelines, validation processes, and business interpretation. The ideal candidate combines strong technical expertise (Python, SQL, cloud) with stakeholder management skills and the ability to operate in fast-paced, high-demand environments aligned with U.S. time zones.
Job Description- Lead the development and training of Marketing Mix Models (MMM) to support data-driven marketing decisions
- Design, build, and maintain data pipelines for MMM features and scoring processes
- Perform input and output data validation to ensure model accuracy and reliability
- Translate complex model outputs into clear business insights and actionable recommendations
- Collaborate with cross-functional teams and stakeholders to align analytics solutions with business needs
- Manage multiple priorities and deliverables under tight and shifting deadlines
- Ensure high-quality standards in all deliverables, with strong attention to detail
- Create clear and compelling presentations to communicate findings and recommendations
- Handle stakeholder interactions, including managing expectations and navigating challenging conversations
- Adapt to dynamic environments with frequent interruptions, urgent requests, and evolving priorities
- Strong proficiency in Python for data analysis, modeling, and statistical work
- Advanced SQL skills for data extraction, manipulation, and validation
- Experience working with cloud environments (AWS, GCP, or similar)
- Advanced Excel skills for data handling and reporting
- Experience in Marketing Analytics; MMM experience is a strong plus
- Solid understanding of data pipelines, feature engineering, and model validation processes
- Strong analytical thinking and problem-solving skills
- Excellent communication skills, with the ability to present complex ideas clearly
- Proven experience managing stakeholders in demanding environments
- Ability to work independently and maintain high performance under pressure
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.
Skills Required
- Strong proficiency in Python for data analysis, modeling, and statistical work
- Advanced SQL skills for data extraction, manipulation, and validation
- Experience working with cloud environments (AWS, GCP, or similar)
- Advanced Excel skills for data handling and reporting
- Experience in Marketing Analytics; MMM experience is a strong plus
- Solid understanding of data pipelines, feature engineering, and model validation processes
- Strong analytical thinking and problem-solving skills
- Excellent communication skills, with the ability to present complex ideas clearly
- Proven experience managing stakeholders in demanding environments
- Ability to work independently and maintain high performance under pressure
Blend360 Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Blend360 and has not been reviewed or approved by Blend360.
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Fair & Transparent Compensation — Pay is considered fair-to-good by many, and public salary postings for common data roles indicate competitive packages in numerous markets. Feedback suggests overall company sentiment aligns with acceptable compensation relative to peers in consulting and analytics.
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Flexible Benefits — Flexible and remote/hybrid work arrangements are consistently highlighted in official materials and role descriptions. Feedback suggests flexibility is a meaningful part of the total rewards experience.
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Retirement Support — A 401(k) with company match is part of the core package. Feedback suggests retirement offerings are standard and contribute to a complete benefits set.
Blend360 Insights
What We Do
Our Vision is to build a company of world-class people that helps our clients optimize business performance through data, technology and analytics. Blend360 has two divisions: Data Science Solutions: We work at the intersection of data, technology and analytics. Talent Solutions: We live and breathe the digital and talent marketplace.
