The Company

Star is a global consultancy that connects strategy, design and engineering services to help companies accelerate product innovation. With over a decade of constant annual growth, we’re rapidly expanding our consulting services, geographic footprint and industry expertise. We’re on the cusp of further growth as we become a household name in consulting.
Star works for businesses in a variety of industries, including Automotive & Mobility, Health Tech, Fin Tech and Ad Tech. Our clients include BMW Group, SAIC, Lufthansa, Denso, NIO, Panasonic, Appy Way, Zeiss, Walmart, Dolby, and many more.
We support our clients at every step of their digital journey. Through co-creation, we guide them from ideation and concept crafting to full-stack development. We always remain focused on helping our clients win the hearts and minds of their customers.
At Star, we connect strategy, insights, design and engineering into a seamless workflow devised to support our clients every step of the way — no matter how long or complex their journey. We anchor everything we do in clear and compelling endgames, which in turn enable our multidisciplinary teams to create superior solutions and impressive commercial returns for our clients.
Star is truly global. That is why we are the first major consulting company that does not have a headquarters. Instead, we have many front doors, spanning Silicon Valley, Tokyo, London, Munich, Copenhagen, Kyiv, Wroclaw, and other vibrant design, technology and creative nuclei of the world. Our spirited and growing strong Star Crew takes great pride in working side by side with their trailblazing counterparts at some of the world’s most disruptive “unicorn” startups and iconic global brands.
Our passion is to make every great person, every great idea and every great company shine. That’s why we’re called Star.
The Opportunity
We’re looking for a Senior Machine Learning Engineer to join the ranks of our Planning & Optimization product org.
As a machine learning engineer, you are a seasoned software engineer with experience in machine learning. You will focus on designing, implementing and productionizing state-of-the-art optimization and planning algorithms, such as our budget allocation framework for digital marketing campaigns.
You are an experienced machine learning practitioner and Python programmer and have put models into production environments before.
You will be joining our Model Infrastructure team, working on automating our Marketing Mix Modelling and attribution models used throughout the planning & optimization processes at our Agencies.
Qualifications
Qualifications & experience:

• 5+ years of experience designing and productionizing machine learning models and AI applications;
• Fluent in Python and a strong interest in general software engineering principles;
• Working knowledge of common Python frameworks (Numpy, Pandas, etc.) - experience with deep learning frameworks like Tensorflow or Py Torch is a plus;
• Strong mathematical foundation and know your way around Bayesian statistics - knowledge of econometrics models (such as MMM);
• Understanding of data engineering concepts, data pipelines, and ETL/ELT processes - experience with frameworks such as Dagster, Airflow, or Spark is a plus;
• Experience with Agile development methodologies, such as Scrum or Kanban;
• Strong problem-solving and analytical thinking skills, with a focus on delivering practical and innovative solutions; and
• Adaptability and willingness to embrace new technologies and challenges in a fast-paced and evolving environment.

Nice to have:

• Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes);
• Familiarity with Dev Ops practices and tools for continuous integration and deployment;
• Strong knowledge of data engineering concepts, data pipelines, and ETL/ELT processes;
• Understanding of cybersecurity, privacy, and compliance principles and best practices;
• Solid understanding of system design principles, scalability, and performance optimization;
• At least a basic grasp of probabilistic ML - experience with Pyro is a big plus.

Responsibilities

• Implement, test and roll out state-of-the-art automated marketing mix models, using Python as your go-to language and your platform-as-a-service environment is AWS;
• Lead the development of a new Bayesian machine learning library designed for automating MMMs;
• Work with our data scientists and engineers to integrate the result into our existing product stack;
• Be or become a go-to person when it comes to applying state-of-the-art machine learning to the field of optimization and planning;
• Think about budget allocation, campaign optimization, and optimizing ad copy for revenue;
• Help define and defend the roadmap for model automation.

What you’ll get
Regardless of position or role, we have in place a wide array of benefits, including flexible working (hybrid/remote models) and generous time off policies (unlimited vacations, sick and parental leaves) to make it easier for all people to thrive and succeed at Star. On top of that, we offer an extensive reward package, intellectually and creatively stimulating space, health insurance and unique travel opportunities.