Data Scientist

Our client is a lead IT consulting and global company providing professional services in management, consulting, systems integration, and outsourcing. The company works every day with interesting people worldwide, the latest and best technologies and leading companies from various industries.

WHAT YOU WILL DO:

• Creating new AI models 

• Developing data preprocessing pipeline for AI model

• Creation of AI models always includes research on how to solve the use case the best way and specifying the approach and work for the labeling team.

• Data gathering and data wrangling on a large amounts of data spread across multiple sources.

• Performing data analysis, formalizing hypothesis and assumptions around data and models expected behavior

• Designing and Implementing machine learning and statistical models; performing validation, testing, and hyperparameter tuning

• Developing algorithms and techniques to increase the model accuracy

• Apply various techniques to reach the expected level of interpretability and explainability of machine learning models

• Using technologies as: 

• • Python, R

  • PyTorch, Keras, Tensorflow, SciKit, MLlib,

  • Azure ML, AWS SageMaker, GCP

  • Hadoop, Beam, Databricks

  • Docker, Kubernetes

  • Statistics, Probabilities

WHAT WE OFFER:

• Recognition:

• • Guaranteed paid overtime or overtime vacation

  • German language bonus up to 400€ monthly/gross depending on language proficiency and level of seniority

  • Flexible Benefit System - budget to be spent on services of your choice

  • Competitive bonus structure

  • Refer-a-Friend – get a bonus in the employee referral program

  • Loyalty rewards

• Flexibility:

• • Flexible working arrangements (time & place of work)

• Future:

• • Wide range of trainings and expert lectures

  • Regular performance review and career growth possibilities

  • Ongoing career guidance and mentoring (Global Mentoring Program, Lean In)

  • Employee share purchase plan

• Family & Health:

• • 3 extra days off

  • Sick leave salary compensation (up to 90%)

  • Home-office equipment

  • Family-oriented benefits (Wedding, Parental and Baby days-off and bonuses)

  • Employee assistance services (professional psychological, financial and legal help)

  • Multisport card

WHAT WE EXPECT:

• 3+ years of relevant experience in a data science position, involving data engineering, analysis, and statistical modeling

• Experience using one or more scripting or programming languages like Python, C#, or similar.

• Proficient with machine learning and deep learning frameworks like Pytorch, Tensorflow or Jax

• Familiar with data visualization tools like PowerBI, Plotly or similar

• Familiar with machine learning and deep learning models like linear and logistic regression, decision trees, clustering models, neural networks, transformer models.

• Experience with processing/modeling big data

• Proficient with calculus, statistics and probabilities

• Experience on data science cloud technologies like Azure ML/AWS SageMaker or similar.

• Familiar with MLOps approach and methodology