(Senior) Data Scientist (m/w/d)

Key Skills

Apache Hadoop, AWS, Azure, C Programming, C++, Docker, GAMS, Git, Google BigQuery, Google Cloud Platform (GCP), Gurobipy, Java Programming, Junit, Keras software library, MATLAB Programming, NumPy, Pandas, Python Programming, PyTorch, Scikit-learn, SciPy, SPARK Programming, SQL, TensorFlow, Theano

Job Description

We are the world's leading strategy consultancy with European roots. We work together with leading international industrial and service companies and public institutions to develop and implement innovative solutions.

As a (Senior) Data Scientist you will be part of our highly engaged and collaborative Analytics & Platform Solutions team and tasked with exciting projects across all industries. Combining strategic and business insights with the latest analytical techniques, we help our clients to solve critical problems in a data-driven way. Your task is to develop innovative data-based products and quantitative-analytical solutions for our clients. Additionally, you will collaborate with our data engineering team to implement these solutions to derive the maximum value from the data. On a day-to-day basis, you will work with state-of-the-art quantitative methods, use a variety of modeling techniques, and apply a client-oriented approach. During projects, you will support the business side of C-level strategy consulting on various topics that have a quantitative, data-oriented, and technical focus.

Qualifications

• A degree in Engineering / Physics / Mathematics / Economics / Statistics / Computer Science or a related field, preferably a PhD
• Strategic and entrepreneurial thinking, strong team player
• Advanced practical and methodological understanding in econometrics / statistics (machine learning or nonparametric statistics); knowledge in the field of causal inference is beneficial.
• Proficient skill in at least two common programming languages (R or Python, as well as C/C++, GAMS, Stata, MATLAB or equivalent)
• Expertise in building, applying and maintaining impactful Machine Learning models using popular ML packages (e.g. NumPy, pandas, scikit-learn, caret, mlr, Spark ML, Keras, TensorFlow,PyTorch, Scipy, Theano, gurobipy)
• Experience with Big Data infrastructure and cloud-based analytics tools is an advantage (e.g., AWS, Azure, Google Cloud Platform, Docker, Spark, Hadoop, AMLS, BigQuery)
• Good command of software engineering workflows is beneficial (Git, Unit tests, Code Reviews etc.)
• Very good command of English (both spoken and written)

What we offer

•  An exciting international environment; diverse projects, customers, and consultants
• Extensive training opportunities in data analytics, machine learning, and data engineering.
• Development opportunities as a data science expert with limited mobility requirements and—if desired—career paths in consulting with high mobility requirements