Job Description
Role: Principal Data Scientist
Location: Bengaluru
What You’ll Do
We’re MiQ, a global programmatic media partner for marketers and agencies. Our people are at the heart of everything we do, so you will be too. No matter the role or the location, we’re all united in the vision to lead the programmatic industry and make it better.
We are looking for an Principal Data Scientist to join our Planning Agent team. This focused engagement is 100% dedicated to the development and launch of the Planning Agent. The ideal candidate should possess product-level development expertise in GenAI-powered solutions and will be responsible for consulting and providing recommendations on building world-class, scaled Agentic AI.
Key Roles & Responsibilities
- Product Enhancement & Strategy: Collaborate with the development team to enhance the usability and technical capability of the Planning Agent in alignment with the overall product requirement. Identify and qualify technical business opportunities, address key technical objections, and develop strategies to resolve technical blockers.
- Technical AI Leadership: Provide agentic AI expertise to support the technical development of MiQ's Planning Agent product. Design detailed technical requirements, create compelling demos and proof-of-concept work, and partner with Product to prioritise and implement optimal technical solutions.
- Architecture & Integration: Lead and design integration strategies, enterprise architectures, platforms, and application infrastructure necessary to implement a unified and seamless user experience across various MiQ products.
- Scaling & Orchestration: Lead and drive the technical implementation of the Planning Agent's orchestration framework, respective data model integration, and the overall strategy for scaling the solution from MVP to a robust production system.
- Core Development Initiatives: Lead the technical development and integration of advanced features such as Knowledge Graphs, guided prompting techniques, and TAU integration to enhance the agent's capabilities.
- Performance Optimisation: Provide technical expertise to enhance the overall efficiency, speed and relevancy of the Planning Agent's response, ensuring structured output aligned with specific business contexts.
Who are your stakeholders?
Internal Consumer/Stakeholders
- End Users (Account Managers / Traders / Sales / Analysts): Gather insights into business challenges and user feedback to propose solutions and features for enhanced user experience.
- Development Team: Collaborate with Technology Managers to foster technical excellence in product development, ensuring the creation of robust, proven, scalable, data science-driven, and high-impact solutions.
What You’ll Bring
- Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
- 10 years of hands-on work experience in data science modelling to solve product or business problems.
- Experience translating product and business questions into clearly framed investigative projects, performing statistical analysis, and coding (e.g., Python, R, SQL)
- Ability to present to business leaders and communicate effectively with highly technical leadership teams.
- Understanding of AI Models, Large Language Models, and AI specialized infrastructure especially as it relates to AI trends and enablers within businesses.
- Candidates with the ability to set-up and ensure continuous improvement of MLOps & CI/CD processes will be preferred.
- Experience in the advertising or ad-tech industry will be a plus.
We’ve highlighted some key skills, experience and requirements for this role. But please don’t worry if you don’t meet every single one. Our talent team strives to find the best people. They might see something in your background that’s a fit for this role or another opportunity at MiQ.
If you have a passion for the role, please still apply.
What impact will you create?
- Lead the technical strategy and execution of data science initiatives that deliver significant impact across interdependent product lines.
- Elevate the technical capabilities of the data science team by driving the adoption of advanced methodologies and best practices.
- Ensure the rigor, quality, and ethical integrity of data science outputs across all product domains
- Accelerate the experimentation of data science applications by developing rapid POC/MVP to drive business impact.
What’s in it for you?
Our Center of Excellence is the very heart of MiQ, and it’s where the magic happens. It means everything you do and everything you create will have a huge impact on our entire global business.
MiQ is incredibly proud to foster a welcoming culture. We do everything possible to make sure everyone feels valued for what they bring. With global teams committed to diversity, equity, and inclusion, we’re always moving towards becoming an even better place to work.
Values
Our values are so much more than statements
. They unite MiQers in every corner of the world. They shape the way we work and the decisions we make. And they inspire us to stay true to ourselves and to aim for better. Our values are there to be embraced by everyone so that we naturally live and breathe them. Just like inclusivity, our values flow through everything we do - no matter how big or small.
- We do what we love - Passion
- We figure it out - Determination
- We anticipate the unexpected - Agility
- We always unite - Unite
- We dare to be unconventional - Courage
Benefits
Every region and office has specific perks and benefits, but every person joining MiQ can expect:
- A hybrid work environment
- New hire orientation with job-specific onboarding and training
- Internal and global mobility opportunities
- Competitive healthcare benefits
- Bonus and performance incentives
- Generous annual PTO paid parental leave, with two additional paid days to acknowledge holidays, cultural events, or inclusion initiatives.
- Employee resource groups are designed to connect people across all MiQ regions, drive action, and support our communities.
Apply today!
Equal Opportunity Employer