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
Empowering Projects: With 500+ clients spanning diverse industries and domains, we provide an exciting opportunity to contribute to groundbreaking projects that leverage cutting-edge technologies. As a team, we engineer digital products that positively impact people’s lives.
Empowering Growth: We foster a culture of continuous learning and professional development. Our dedication is to provide timely and comprehensive assistance for every consultant through our dedicated Learning & Development team, ensuring their continuous growth and success.
DE&I Matters: At GlobalLogic, we deeply value and embrace diversity. We are dedicated to providing equal opportunities for all individuals, fostering an inclusive and empowering work environment.
Career Development: Our corporate culture places a strong emphasis on career development, offering abundant opportunities for growth. Regular interactions with our teams ensure their engagement, motivation, and recognition. We empower our team members to pursue their career goals with confidence and enthusiasm.
Comprehensive Benefits: In addition to equitable compensation, we provide a comprehensive benefits package that prioritizes the overall well-being of our consultants. We genuinely care about their health and strive to create a positive work environment.
Flexible Opportunities: At GlobalLogic, we prioritize work-life balance by offering flexible opportunities tailored to your lifestyle. Explore relocation and rotation options for diverse cultural and professional experiences in different countries with our company.
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.
