Acuity Analytics Deutschlandweit vor 1 Monaten

Data Scientist (F/M/X)

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Das ist der Job

For more details about Acuity Analytics please see here: Read here .

Darum lohnt es sich

Your responsibilities As our next Data Scientist (F/M/X) in our Munich office you take care of implementing data-driven solutions together with other data scientists, data engineers and the client’s technical team: Implementation of proof of concepts in AI, data science, and machine learning Data preparation, model implementation, and development of productionizable high-quality code in Python are your daily business Close collaboration with your team members in the conception of data science and AI solutions for our clients Assisting in workshops with the client’s team You will work in different industries on various data science and AI use-cases Skills and experience You have an educational background in the field of Mathematics, Computer Science, Data Science, Statistics or similar Knowledge in implementing machine learning pipelines in either Python or R with proficiency of the respective libraries (caret, dplyr, tidyverse or scikit-learn, pandas, numpy etc.) is required Solid understanding of statistics and mathematics Experience in working on GenAI related projects (e.g. with langchain, chainlit, RAG, LLMs) Nice-to-have: Experience with cloud-based environments or advanced technologies like Spark, Tensorflow or Keras Motivation and passion for learning new things and honing your skills You are fluent in both German and English Acuity Analytics has earned several prestigious industry recognitions, including Great Place to Work® certifications in India and Costa Rica, AVTAR Best Companies for Women in India, the AVTAR Most Inclusive Companies Index, and silver accreditation in the Workplace Equality Index.

Learn more here If you have any questions contact our Talent Acquisition team on ta.admin@acuityanalytics. These accolades reflect our commitment to building an inclusive, supportive and high-performance workplace for our people.

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