Data Scientist II - QuantumBlack Labs

McKinsey & Company

Berlin, Germany

4 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Languages

English

Experience level

Intermediate

Municipality of Madrid, Spain

Airflow

Amazon Web Services (AWS)

Azure

Big Data

Computer Programming

Data Mining

Hadoop

Hive

SPSS (Software)

Python

Machine Learning

Cloud Services

SAS (Software)

Software Engineering

SQL Databases

Google Cloud Platform

Generative AI

PySpark

Kubernetes

Dask

Docker

Databricks

2-5+ years of professional experience in applying machine learning and data mining techniques to real problems with copious amounts of data
Previous experience in NLP or generative AI, including model development or application design and deployment, is highly desirable.
Programming experience (focus on machine learning): SQL and Python's Data Science stack are a must; good knowledge of at least one big data framework (Pyspark, Hive, Hadoop) is a plus; R, SPSS, SAS (nice to have); Software Engineering is a plus
Knowledge in applying machine learning solutions to real problems with complex and/or big amounts of data.
Ability to prototype statistical analysis and modeling algorithms and apply these algorithms for data driven solutions to problems in new domains
Experience deploying technology applied to business problems is a plus
While we advocate for using the right tech for the right task, we often leverage the following technologies: Python, PySpark, the PyData stack, SQL, Airflow, Databricks, our own open-source data pipelining framework called Kedro, Dask/RAPIDS, container technologies such as Docker and Kubernetes, cloud solutions such as AWS, GCP, and Azure, and more
Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment
Strong communication skills, both verbal and written, in English and local office language(s), with the ability to adjust your style to suit different perspectives and seniority levels