Lead Data Scientist IRC293143

Description

The product is an AI-powered optimization platform that enables media traders to deploy complex buying strategies and deliver better outcomes for our clients, at scale. This is no start-up. We’re already trusted by our clients to manage hundreds of millions of media spend.

At the heart of the product is our proprietary algorithms, developed in-house and refined by the team over time. These algorithms enable the platform to make budget and targeting adjustments that improve campaign performance, everyday, for everyone of our clients across the globe.
Our ambition as a Data Science team is to further extend such competitive advantage by innovating our algorithms and expanding into more digital advertising platforms.

We are on the lookout for a Lead Data Scientist to join our team to lead the our effort to further improving our proprietary algorithms, as well as to innovate the product with latest advances in ML / AI for this product. The role will report to VP Data Science, and be part of a small (but growing!) team of Data Scientists. The ideal candidate will have a background in optimisation (algorithms, or related ML disciplines), strong statistical knowledge and hands-on cloud technology experience.

As our algorithms are all proprietary and built on in-house team, the candidate needs to be truly, technically competent, to be able to quickly learn a complex system, customise source code, add in new features and code from scratch. Whilst model deployment / software development experience is very, highly desirable, we do have a team of engineers to support so exposure in this space will be sufficient.

In addition, our Lead Data Scientist should ideally have line management or technical coaching experience as they’re expected to provide technical oversight of development plus mentoring more junior members of the team.

Culture-wise, we’re looking for a future team lead and great team player who is passionate about growing our team and applying Data Science techniques to solve complex problems and drive innovation.

In return, you will get the opportunity to solve cutting-edge problems, and drive measurable performance improvement for our clients. Not to mention, working with a team of supportive, seasoned deverlopers, product managers and data scientists who have successfully built and deployed scalable, global products.

Requirements

Essential qualifications:

• Bachelor’s or master’s degree in Data Science, Computer Science, Engineering, Statistics, or a related quantitative field
• Hands-on experience in optimisation algorithms (or a related displicine). Please note:
  – Wihlst we’d consider candidates with relevant academic background, we’d prefer those with hands-on, commercial experience solving practical problems with real-world data.
  – Completing a module / thesis on this topic as part of bachelor’s degree is not considered as sufficient academic experience. We’re primarily thinking about the experience of conducting an original piece of research as part of an MRes, PhD, fellowship, etc.
• Line management or technical coaching experience
• Proficiency in Python (and key ML frameworks) and SQL
• Experience of using cloud and MLOps technologies.
  – We’re AWS-based but migrating to GCP soon. Experience in any of these two, or another mainstream service is fine.
• Experience of / exposure to model deployment and/or software development
• Strong, demonstratable statistical and machine learning knowledge
• Effective communication skills to work with different stakeholders / team members with varying degrees of knowledge in Data Science
• An empathetic mentor and collaborative team player

Highly Desirable qualifications:

• Hands-on experience in Airflow
• Commercial experience in software development
• Commercial E2E ML dev to prod experience

Job responsibilities

• Lead technical development and implementation of all data science components
• Coach the team to implement high quality and fit for purpose solutions – from methodology, code quality, implementation choices to latest and greatest innovations in ML/AI.
• Lead on the design and contribute to the end-to-end machine learning pipeline from data collection, reprocessing to model training, simulation, evaluation, deployment and experimentation / testing
• Also be hands on to:
  – Implement DS components and explainability frameworks to provide clear insights into model decisions, ensuring transparency and compliance with WPP standards
  – Conduct rigorous model testing and validation to ensure robustness and accuracy
  – Prepare detailed documentation and reports that communicate complex
  model behaviours, predictions, and insights in a manner accessible to both technical and non-technical audiences
  – Research / prototype ML and AI innvoations to move the product forward
• Proactively work with stakeholders to identify business needs and translate these requirements into technical solutions that are scalable and impactful
• Stay abreast of academic research and industry advancements in optimisation, plus AI/ML in general.
• Knowledge-share and support the wider team and Data Science community to drive innovations based on your work

What we offer

Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you’ll experience an inclusive culture of acceptance and belonging, where you’ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. 

Learning and development. We are committed to your continuous learning and development. You’ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally.

Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you’ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what’s possible and bring new solutions to market. In the process, you’ll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today.

Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way!

High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you’re placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do.

About GlobalLogic

GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.