Company Description
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 Data Science Manager to contribute to our next level of growth and expansion.
What is this position about?
We are looking for a Data Science Manager to lead advanced analytics initiatives within a large retail environment. This role is highly technical and focused on digital/product analytics and predictive modeling to identify friction points across the customer journey. The position also requires strong strategic involvement, collaborating closely with stakeholders to define priorities, influence roadmaps, and drive data-informed decision-making.
Job Description- Lead the design and implementation of predictive models to optimize customer journey and digital product performance
- Analyze large-scale datasets to identify user behavior patterns, friction points, and growth opportunities
- Partner with product, marketing, and business stakeholders to define data-driven strategies and priorities
- Translate business problems into analytical frameworks and actionable insights
- Drive roadmap prioritization based on data insights and business impact
- Mentor and guide data scientists, fostering best practices in modeling and analytics
- Communicate complex analytical findings to non-technical stakeholders in a clear and impactful way
- Collaborate with data engineering teams to ensure data availability and quality
- Continuously improve experimentation frameworks (A/B testing) and measurement methodologies
- Strong experience in Data Science, with a focus on product analytics or digital analytics
- Proven experience building and deploying predictive models (e.g., churn, propensity, recommendation systems)
- Advanced proficiency in Python or R for data analysis and modeling
- Solid knowledge of SQL and working with large datasets
- Experience with experimentation frameworks (A/B testing)
- Strong business acumen and ability to connect data insights with business outcomes
- Experience working with cross-functional teams and stakeholders
- Leadership or mentoring experience in data teams
- Excellent communication and storytelling skills
What about languages?
- Advanced English level required (written and spoken)
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.
So what are the next steps?
Our team is eager to learn about you! Send us your resume or LinkedIn profile below and we’ll explore working together!
Skills Required
- Strong experience in Data Science, with a focus on product or digital analytics
- Proven experience building and deploying predictive models
- Advanced proficiency in Python or R for data analysis and modeling
- Solid knowledge of SQL and working with large datasets
- Experience with experimentation frameworks (A/B testing)
- Strong business acumen and ability to connect data insights with business outcomes
- Experience working with cross-functional teams and stakeholders
- Leadership or mentoring experience in data teams
- Excellent communication and storytelling skills
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.
