Machine Learning Engineer - Media Analytics

Country

Poland

Job Family

Product

We show the world what people want.

Join GfK and help us shape tomorrow. As an NIQ company, we are the world's leading consumer intelligence firm, delivering the Full View™ on consumer behavior. We work to enable manufacturers and retailers better understand what consumers really want. Our name has inspired trust for over 89 years because we take pride in discovering new pathways to sustainable growth for our clients, our people, and our planet.

We are always looking for open-minded people who will grow with us, push boundaries, and pioneer disruptive methods in market research, data science, technology, and AI. If you share this passion to drive things forward and the integrity to insist on doing things the right way, we'll equip you to take your future into your own hands and play a leading role in our story.

Job Description

Mission

• Develop Marketing Science solutions in the area of media analytics
• Support the product development during concept testing phases, scaling and production
• Transform proofs-of-concept into scalable, production-ready code

Responsibilities

• Develop, implement and standardize marketing science solutions in proofs-of-concept and prototypes
• Continuously improve the efficiency of the marketing science products (e.g. ensure quality by adherence to coding guidelines, documentation and reproducibility)
• Optimize marketing science models using code optimization, high-performance computing and real-time techniques
• Build analytical pipelines at scale using cloud services, containerized applications and distributed systems
• Identify best practices and create continuous improvement of tools and methods
• Closely collaborate with Product Owners, Modellers, Marketing Scientists and Front End Software Engineers

Qualifications

• Bachelor or Master degree that reflects strong statistical/mathematical/computer science skills
• Strong expertize in Python usage - at least 3 years of development
• Understanding of R
• Experienced in statistical modelling on top of predictive modeling
• Able to manage code deployments (experience with GIT)
• Basic understanding of Dockerization – building and managing docker images
• Experienced with creating, managing and/or maintaining code documentation
• Solid skills concerning performance optimization and scalability (e.g., parallelization, code optimization, functions as a service)
• Ability to present and explain complex concepts to less experienced colleagues

Soft Skills

• Strong analytical and problem-solving skills
• Able to work independently
• Good attention to detail – ensure all outputs are delivered professionally and accurate
• Good interpersonal skills – treat others with respect, be cooperative, friendly and considerate of others. Be a good role model, help to build teamwork and team spirit
• Well-organised and flexible, and demonstrate self-confidence, decisiveness and commitment able to work alone without constant support, and well organized
• Ease of communication in an English-speaking business environment

We are an ethical and honest company that is wholly committed to its clients and employees. We are proud to be an inclusive workplace for all and are committed to equal employment opportunity, focusing on all of our employees reaching their full potential.

We respect and value every employee regardless of race, ethnicity, gender, sex, sexual orientation, age, personality, experience, culture, faith, socio-economic status, or physical or mental disabilities.

We endorse the core principles and rights set forth in the United Nations Declaration of Human Rights and the Social Charter of Fundamental Rights of the European Union, promoting the universal values of human dignity, freedom, equality, and solidarity.

Learn more about how we are driving diversity and inclusion in everything we do on: [https://www.gfk.com/about-gfk/diversity-and-inclusion>

At GfK we work collaboratively with our colleagues but offer a flexible working approach, including dividing our time between office & remote working as well as the opportunity to flex our working hours around team core hours.

We offer an exciting work environment that brings people together. We encourage an entrepreneurial and innovative spirit and make use of the latest digital technologies. We are looking for self-starters, who accept challenges and create solutions.

Can there be a better place to take center stage in the digital revolution? We are excited to get to know you!