Star is a global consultancy firm 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, HealthTech, FinTech, AdTech & MarTech. Our clients include BMW Group, Porsche, Daimler, SAIC, Lufthansa, Denso, NIO, Panasonic, AppyWay, 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 business, 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, Milan, 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 worlds most disruptive "unicorn" startups and iconic global brands.

Our passion is to make every great person, every great idea and every great company shine. Thats why were called Star.

The Opportunity

We are looking for a Lead Python Engineer to join our Data Science team and help create cutting-edge solutions for our Marketing Intelligence Engine Platform. The ideal candidate would have hands-on experience implementing solutions in a modern architecture stack. They should enjoy working in a startup-like environment and be able to function well independently or in cross-functional teams.

Qualifications:

Qualifications and experience:

• Willingness to lead by example, take personal ownership and strong commitment to deliver high-quality results to meet customer’s needs;
• Possessing a team spirit attitude, desire to help someone needing a help, share knowledge and relevant insights;
• 5+ years of commercial experience in software development with Python;
• Familiarity with Python data stack (NumPy, Pandas, scikit-learn);
• Familiarity with one or more machine learning technologies: (XGBoost, Tensorflow, Keras);
• Some experience developing APIs within a web framework such as Flask/ Django/ Ruby on Rails preferred;
• Good understanding of SQL/RDBMS (Oracle/MySQL/PostgreSQL);
• Experience with general development best practices: Git, Test-driven development;
• Showing a global mindset and respect towards local as well as diversity and inclusion;
• Sound written, oral, and organizational skills; 
• Go-getter mindset - willing to take initiative to solve problems without prompting by supervisors.

Nice to have:

• Background in data engineering and machine learning models;
• Any exposure to marketing mix modeling, digital attribution modeling a plus;
• Cloud-based deployment experience Docker/Heroku a plus;
• Any familiarity with AWS managed services is a plus; and
• Comfortable developing in Linux environments preferred but not required.

Responsibilities:

• Youll be able to adopt the best engineering practices, which should help the team operate better and implement high-quality code;
• Hands-on development. Design and write clean, robust, well-tested code;
• Develop extensible architectures and frameworks, for others to leverage;
• Perform research and development to evaluate new technologies, ideas and communicate value for the company;
• Become an expert in the underlying Machine Learning solutions that the team develops, configuring/extending them as necessary;
• Build data-pipelines that allow the platform to interact with various internal and external APIs and data stores; 
• Document solutions, systems, and procedures.

What you’ll get 

We offer a rewarding compensation and benefits package, an intellectually and creatively stimulating environment, and work in the friendly and supporting team atmosphere.

We are goal oriented and support flexible work-schedules.

Star is an Equal Opportunity Employer. We believe that equity, diversity and inclusion are key to our ability to provide our clients and crew members with unique business and career outcomes. Your race, color, ancestry, religion, gender, identity, sexual orientation, age, marital status or disability have no effect on our hiring decisions. If you have a special need that requires accommodation, please let us know.