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POSITION
WHAT WILL
WHAT WE
WHAT WE
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We harness the power of tech to increase sustainability.
How do you want to use technology?
Experienced Data Scientist (permanent home office possible)
Place of work
Bratislava, Slovakia (Job with occasional home office)
Contract type
full-time
POSITION
DESCRIPTION
If you are a data scientist with experience dealing with large amount of data and putting AI applications in production, we invite you to join the fast-growing Accenture Data Science & Machine Learning Engineering practice in Europe location to work as part of a worldwide team of experts.
We´re looking for experienced candidates who seeks for new challenge, and will help us to grow our team.
Your talent – new challenge – new skill. Apply now!
We´re looking for experienced candidates who seeks for new challenge, and will help us to grow our team.
Your talent – new challenge – new skill. Apply now!
WHAT WILL
YOU DO
• Creating new AI models
• Developing data preprocessing pipeline for AI model
• Creation of AI models always include research on how to solve the use case the best way and specifying the approach and work for labeling team.
• Data gathering and data wrangling on large amount 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
• Developing data preprocessing pipeline for AI model
• Creation of AI models always include research on how to solve the use case the best way and specifying the approach and work for labeling team.
• Data gathering and data wrangling on large amount 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
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
• 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
WHAT WE
OFFER
Salary
2 600 EUR/monthAccenture offers a competitive compensation package. As required by the Slovak law we state, that the legal monthly minimum gross base pay starting from 2 600 € depending on your professional and personal qualifications in the required areas.
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 100%)
• 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
If you would have any additional question regarding this position, do not hesitate (feel free) to contact me at [email protected] .
2 600 EUR/monthAccenture offers a competitive compensation package. As required by the Slovak law we state, that the legal monthly minimum gross base pay starting from 2 600 € depending on your professional and personal qualifications in the required areas.
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 100%)
• 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
If you would have any additional question regarding this position, do not hesitate (feel free) to contact me at [email protected] .
Interested?
Apply for this job
ID: 4263867
Dátum zverejnenia: 3.6.2022
2022-06-03
lokalita: Bratislava Pozícia: Database Analyst, Programmer, Python Programmer, Software Engineer Spoločnosť: Accenture, s.r.o.
Základná zložka mzdy (brutto): 2 600 EUR/month