Senior Data Scientist

vor 2 Monaten

Munich, Bayern, Deutschland Slalom Vollzeit

About Us

Slalom is a leading professional services firm that specializes in delivering innovative solutions at the intersection of business, technology, and human experience. With our unique approach, we deeply understand our clients' needs and deliver practical, end-to-end solutions that drive meaningful impact. We go beyond traditional consulting with our local innovation hubs and design customized software, data, and cloud products to drive digital transformation for our clients. Our experts have the opportunity to work in a collaborative environment and support our clients in multiple countries and markets worldwide.

Since our inception, we have grown steadily. At our locations, we offer a dynamic, inspiring, and inclusive environment for our professionals to grow and develop their skills - true to our motto: Love your Work and Life

Please be aware that this position is to be filled in a hybrid working mode in our office.

At Slalom, you will work with exceptional data scientists and technology leaders to help our clients get the most value from machine learning. This role offers a unique opportunity to influence the future of digital products by integrating state-of-the-art machine learning technologies with modern data architectures. If you're passionate about building next-generation systems and thrive in a dynamic, collaborative environment, we'd love to hear from you.

Key Responsibilities

  • Design and implement innovative machine learning solutions for our clients across different industries and company sizes
  • Work backwards from customer use cases to decide if traditional ML, GenAI, or other approaches are the right option
  • Design and implement MLOps frameworks to streamline the deployment, monitoring, and maintenance of ML models in production
  • Continuously learn and master emerging data technologies and frameworks to remain at the forefront of the field
  • Act as a mentor and knowledge source within the company and for clients, sharing insights and project learnings regularly

Requirements

  • You have over 3 years of demonstrated expertise in architecting, deploying, and operating data-driven ML systems in a cloud environment
  • Experience with feature stores & feature engineering pipelines, data ingestion & transformation, and machine learning workflow orchestration
  • Hands-on experience with Docker, Git, AWS (e.g., Sagemaker, RDS, DynamoDB) or Azure (Azure ML, Azure SQL, Cosmos DB)
  • Experience with deep learning frameworks and tools (TensorFlow, PyTorch, MLFlow, Kubeflow)
  • When working on solutions involving both Data Engineering and ML Engineering, openness and flexibility to get involved in Data Engineering activities where meaningful
  • Proficient coding skills in Python, with a solid understanding of software development best practices
  • Good communication skills with fluency in English; German proficiency at B1 level and openness to build German skills is a plus

Your Benefits

  • Mobile and flexible working model, along with 30 days of vacation and 2 Impact Days for volunteering in your community
  • We care about your future – with an annual contribution to our pension fund (4% of base salary)
  • You will receive a monthly individual mobility allowance for travel by train, plane, bicycle, etc.
  • An annual budget of around €350 for your well-being. Whether it's yoga, fitness classes, massages, or a donation to a good cause - you decide
  • You are important to us – in addition to coaching and other support programs, we offer comprehensive insurance plans for you and your family
  • Monthly smartphone allowance of €100 (gross) and the choice to choose your laptop (Apple or HP)
  • Regular team events, get-togethers, and Lunch & Learns with the best colleagues in our central offices

Slalom is an inclusive, equal-opportunity employer dedicated to building a diverse workforce. We encourage applications from all qualified candidates and will work to reasonably accommodate applicants' needs throughout all stages of the recruitment and selection process. Please advise the Talent Acquisition team if you require accommodations during the interview process.

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