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Senior Marketing Data Scientist

Company Description

Blend is an award-winning, new breed consultancy focused on powering exceptional results for our Fortune 500/1000 clients and other major organizations. We are a growing company—born at the intersection of advanced analytics, data, and technology. 

Who we are: 

People are everything at Blend.  We are inspired by advancing our Client’s most critical initiatives, products and projects by matching our clients with the right talent. BLEND360 has been among the Inc. 5000 fastest growing companies 8 years in a row, and we’re very proud of our World Class NPS score. Our success is a direct result of our passion for advancing the careers of the talented people we work with every day. When you work at Blend, you will: 

  • Collaborate with a smart, passionate group of people who are invested in your sucess. 

  • Partner with an impressive list of clients, who value Blend360’s services and the world class experience we deliver with every engagement. 

  • Thrive with a company and leadership team who are committed to growth. 

 

What is this position about? 

As a Senior Marketing Scientist, you will be a strategic partner in transforming complex marketing data into clear, actionable insights that drive performance and business growth. Leveraging your expertise in digital media analytics and data storytelling, you'll help optimize campaigns, forecast key metrics, and shape marketing strategies across multiple channels. This role offers the opportunity to work closely with cross-functional teams and major brands, turning data into impactful decisions that move the needle.

You may work 100% remotely if you are currently living in LATAM or you can always join us at the office in Montevideo, Uruguay! 

Job Description

  • Interpret media and marketing performance data to generate insights that fuel business growth and strategic direction.

  • Serve as a trusted advisor to clients, offering subject matter expertise and data-driven recommendations to support their marketing goals.

  • Design and execute analytical solutions that evaluate campaign effectiveness and forecast key metrics such as impressions, clicks, and budget pacing.

  • Collaborate closely with data science teams to build models that enhance marketing performance and campaign planning.

  • Partner with cross-functional stakeholders from marketing, product, and sales teams to align data strategies with broader business goals.

  • Develop and maintain performance dashboards, deep-dive reports, and presentations that clearly communicate results and recommendations.

  • Analyze data across multiple digital channels—Search, Display, Social Media, Email, etc.—to detect trends, identify opportunities, and optimize strategies.

  • Oversee the creation and upkeep of marketing performance reports and serve as the main point of contact for analytics-related inquiries.

Qualifications

  • Bachelor’s degree in Marketing, Statistics, Mathematics, Computer Science, or a related discipline.

  • 2–6 years of professional experience in marketing/media analytics or a related analytical role.

  • Proficiency working with data from platforms such as Google Ads, Search Ads 360, DV360, Campaign Manager, Meta Business Suite, Google Ads Data Hub, Pinterest, Appsflyer, etc.

  • Experience analyzing web traffic and engagement metrics using tools like Google Analytics and Adobe Analytics.

  • Solid understanding of statistical analysis and data visualization tools such as R, Python, Tableau, or Power BI.

  • Experience handling large datasets using SQL or cloud-based data environments like Hadoop or AWS.

  • Strong communication skills, capable of translating technical findings into actionable insights for non-technical audiences.

  • Exposure to solving business challenges across industries such as Retail, CPG, eCommerce, BFSI, Healthcare, and Hospitality.

  • Proven ability to distill complex data into clear insights that drive business value.

  • Strong team collaboration and stakeholder management abilities.

What about languages?  

You will need excellent written and verbal English for clear and effective communication with the team.  

How much experience must I have?  

We're looking for someone with 3+ years' of experience in similar roles. 

Additional Information

Our perks and benefits:  

🍔Every day lunches! (headquarters)  

  • Vegetarian, vegan, gluten and sugar-free options.  

  • Gourmet meals every Friday with our on-site chef!  

⚖️ Flexible working options to help you strike the right balance.  

👨🏽‍💻 All the equipment you need to harness your talent (Macbook and accessories).  

☕Snacks and beverages available everyday (headquarters).  

🎮After office events, football, tennis and game nights (headquarters).  

  • Everyone is welcome to join our football league every Wednesday’s and Friday’s.  

  • Challenge your teammates to a pool game and win the office’s trophy!  

  • Tennis courts available for friendly matches.  

  • You are not a sports person? Don’t worry, we also have chess championships, game and music nights for you to join!  

📚 Learning opportunities:  

  • AWS Certifications (we are AWS Partners).  

  • Study plans, courses and other certifications.  

  • English Lessons.  

  • Learn from your teammates on our Tech Tuesdays!  

👩‍🏫 Mentoring and Development opportunities to shape your career path.  

🎁 Anniversary and birthday gifts.  

🏡 Great location and even greater teammates!  

So what are the next steps?  

We are eager to learn about you! Send us your resume and LinkedIn profile below and we’ll explore working together! 

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Average salary estimate

$75000 / YEARLY (est.)
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$60000K
$90000K

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What You Should Know About Senior Marketing Data Scientist, Blend360

At Blend, we’re on the hunt for a passionate Senior Marketing Data Scientist to join our dynamic team in Montevideo, Uruguay. Here at Blend, we’re a consultancy thriving at the intersection of advanced analytics, data, and technology, committed to driving exceptional results for our Fortune 500 clients. In this pivotal role, you’ll be the mastermind who transforms complex marketing data into clear, actionable insights, propelling business growth forward. Your expertise in digital media analytics and data storytelling will be your superpower as you optimize campaigns, forecast metrics, and shape innovative marketing strategies across various channels. Collaborating with cross-functional teams, you'll work closely with major brands, using your analytical skills to influence decision-making. Your responsibilities will include interpreting media and marketing performance data, serving as a trusted advisor to clients, and designing analytical solutions that evaluate campaign effectiveness. You’ll create performance dashboards and reports that succinctly communicate results, while also overseeing marketing performance inquiries. With a requirement of 3+ years in marketing/media analytics, you’ll need a solid understanding of statistical analysis tools and a knack for translating technical findings into business-friendly insights. We're offering an inclusive work environment where you can thrive, along with the flexibility of working remotely in LATAM. If you're ready to make a significant impact and grow with us, we’d love to hear about your journey!

Frequently Asked Questions (FAQs) for Senior Marketing Data Scientist Role at Blend360
What are the main responsibilities of a Senior Marketing Data Scientist at Blend?

As a Senior Marketing Data Scientist at Blend, your main responsibilities include interpreting media and marketing performance data, serving as a trusted advisor to clients, and designing analytical solutions to evaluate campaign effectiveness. You will collaborate with cross-functional teams, develop performance dashboards, and analyze data across multiple digital channels, ensuring that insights are actionable and aligned with business goals.

Join Rise to see the full answer
What qualifications are needed for the Senior Marketing Data Scientist position at Blend?

The Senior Marketing Data Scientist role at Blend requires a Bachelor's degree in Marketing, Statistics, Mathematics, Computer Science, or related disciplines, along with 3+ years of experience in marketing/media analytics. Proficiency in data analysis using platforms such as Google Ads, Google Analytics, and tools like R or Python is essential. Strong communication skills to convey technical findings to non-technical audiences are also important.

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How does the remote work policy work for the Senior Marketing Data Scientist role at Blend?

Blend offers flexible working options for the Senior Marketing Data Scientist position, including the possibility of working 100% remotely if you are currently living in LATAM. You can also choose to work from our office in Montevideo, where you’ll enjoy a vibrant work environment with plenty of opportunities for collaboration.

Join Rise to see the full answer
What tools and technologies do Senior Marketing Data Scientists at Blend use?

Senior Marketing Data Scientists at Blend utilize a variety of tools and technologies, including Google Ads, Search Ads 360, DV360, Google Analytics, and data visualization platforms like Tableau or Power BI. Additionally, experience with SQL for handling large datasets is essential, as well as exposure to AWS or cloud-based data environments.

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What makes Blend a great place to work for a Senior Marketing Data Scientist?

Blend is an award-winning consultancy that prioritizes people and personal growth. As a Senior Marketing Data Scientist, you'll collaborate with passionate professionals, take on significant responsibilities with major clients, and have access to numerous learning opportunities. Our perks, including gourmet lunches, flexible working hours, and engaging team events, ensure a supportive and enjoyable work environment.

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Common Interview Questions for Senior Marketing Data Scientist
Can you describe a challenging marketing data project you worked on?

When answering this question, focus on a specific project that highlights your analytical skills and problem-solving abilities. Discuss the goals, the data you analyzed, the tools you used, and the successful outcomes. Emphasize your role in interpreting the data and making strategic recommendations.

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How do you prioritize multiple projects with tight deadlines?

To effectively answer this question, demonstrate your organizational skills and time management strategies. Explain the methods you use to prioritize tasks, such as setting deadlines, using project management tools, or collaborating with team members to ensure efficient workflow.

Join Rise to see the full answer
What statistical analysis methods do you find most effective for marketing data?

In your response, provide examples of statistical methods you frequently utilize, such as regression analysis, A/B testing, or segmentation analysis. Discuss how you apply these methods to drive actionable insights in marketing campaigns.

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How do you ensure the accuracy of your data analysis?

Explain your process for validating data accuracy, which may include cross-referencing data sources, employing troubleshooting techniques, and using automated tools. Highlight your attention to detail and commitment to delivering reliable insights.

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What is your experience with A/B testing in marketing campaigns?

Discuss your experience designing, executing, and analyzing A/B tests. Provide an example of a specific campaign where your A/B testing efforts led to significant improvements in performance, ensuring you highlight the metrics you monitored.

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How do you translate complex data findings to non-technical stakeholders?

Share your approach to simplifying complex data findings, such as creating visualizations or using storytelling techniques. Emphasize your ability to communicate insights in clear and relatable terms, making it easy for non-technical stakeholders to understand the implications.

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What digital marketing channels have you analyzed in the past?

Provide a list of digital marketing channels you've worked with, such as social media, email, or search advertising. Highlight specific projects that involved these channels and discuss the metrics you focused on to measure success.

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Can you give an example of how you contributed to a team project?

Share a specific example where your contributions significantly impacted a team project. Discuss the role you played, the collaborative efforts involved, and the results that came from the team's work, ensuring to connect it to your expertise in data analysis.

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How do you stay current with trends in marketing data science?

Discuss your methods for keeping up with industry trends, including attending conferences, following thought leaders, reading related publications, or engaging in professional online communities. This shows your commitment to continuous learning and adapting to changes.

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What data visualization tools do you have experience with?

Mention specific data visualization tools you have worked with, such as Tableau or Power BI. Explain how you have used these tools to present data findings and the impact your visualizations had on decision-making processes.

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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 seamles...

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DATE POSTED
April 22, 2025

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