Senior Data Scientist

We are seeking a pragmatic, proactive Senior Data Scientist to join our team. In this role, technical mastery is only half the equation - the real priority is translating data science into measurable business value. You will partner closely with business leaders to identify high-impact opportunities, select the right tool for the job (whether a simple logic rule or a complex machine learning model), and independently drive solutions from concept to production.

If you are a self-starter who thrives on autonomy, prioritizes tangible business outcomes over technical complexity for its own sake, and enjoys shaping the data science discipline, we want to hear from you.

• →Drive Business Value: Partner directly with business stakeholders across Product, Engineering, Sales, and Marketing to identify opportunities and deliver measurable ROI through data science.
• →Pragmatic Problem Solving: Select and apply the right solution for the problem- prioritizing speed, simplicity, and practical business impact whether the optimal approach is simple heuristics or advanced machine learning.
• →End-to-End Ownership: Independently lead data science projects from initial scoping and data exploration through to deployment, monitoring, and value realization.
• →Model Development & Deployment: Build, validate, and maintain scalable analytics and machine learning solutions designed for real-world impact.
• →Shape the Discipline: Define best practices, methodologies, and tool selection strategy to build a mature, practical data science function at Make.
• →Cross-Functional Communication: Bridge the gap between technical rigor and business execution, translating complex models into clear, actionable insights for non-technical stakeholders.

• Business-First Mindset: 6+ years of experience in data science or analytics, with a proven track record of driving direct business outcomes.
• Pragmatic Approach: Strong technical foundations paired with the judgment to choose simple, practical tools over complex frameworks when appropriate.
• High Autonomy: Ability to operate independently, proactively identify business gaps, and drive projects through to completion with minimal direction.
• Technical Proficiency: Expertise in Python, SQL, and core ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch), with practical experience putting models into production.
• Stakeholder Partnership: Ability to collaborate effectively with business units, build strong working relationships, and advocate for value-driven data solutions.
• Nice-to-Haves: Experience in SaaS environments or building and deploying LLMs and generative AI workflows.

🤝 We roll together - We practice radical candor, challenge ideas openly, and use feedback to get better together.

🚀 Customer impact first - We get things done with craftsmanship, focus on outcomes, raise the bar, and create real customer impact.

⚽ Game on! - We take extreme ownership, move fast, and embrace change as opportunity.

For more, feel free to check out our Life at Make Instagram, Meet-up page, or YouTube to get a sense of the vibe.

At Make, we know that exceptional work comes from people who bring different perspectives and experiences. We build a place where everyone feels welcome, heard, and empowered to create, contribute, grow and make an impact. We encourage people of all backgrounds, identities, abilities, and experiences to apply. Our hiring decisions are based on your qualifications, skills, merit, and the needs of our business. We have zero tolerance for discrimination or harassment of any kind.  

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