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Data Scientist
Acxiom Global Service Center Polska sp. z o. o
Lower Silesia
Lower Silesia- offer expired 4 days ago
- contract of employment
- full-time
- specialist (Mid / Regular), senior specialist (Senior)
- home office work, hybrid work
- More than one vacancy
- remote recruitment
- запрошуємо працівників з України
- Робота для іноземцівбез польської
Запрошуємо працівників з України
Роботодавець відкритий для працевлаштування громадян України
Technologies we use
Expected
XG Boost
Python
R
Spark
Julia
scikit-learn
MLlib
ETL
SQL
Optional
AWS Sagemaker
Airflow
KubeFlow
Google AI/ML
CI/CD/MLOps
Kubernetes
Docker
ECS/EKS
Tensorflow
Keras
Google Cloud Platform
Operating system
About the project
At Acxiom, our vision is to transform data into value for everyone. Our data products and analytical services enable marketers to recognize, better understand, and then deliver highly applicable messages to consumers across any available channel. Our solutions enable true people-based marketing with identity resolution and rich descriptive and predictive audience segmentation. We are seeking an experienced Data Scientist with a versatile skill set to undertake data science supporting the development of next-generation data product. As part of the Data Science and Analytics Team, the Data Scientist will lead the charge in developing machine learning and statistical models to support and expand the Audience Propensities product suite for our domestic and global businesses.
Your responsibilities
Build expert knowledge of the various data sources brought together for audience propensities solutions – survey/panel data, 3rd-party data (demographics, psychographics, lifestyle segments), media content activity (TV, Digital, Mobile, Automotive), and product purchase or transaction data
Apply state-of-the-art algorithms relying on knowledge of statistical modeling, machine learning, and optimization to develop new audience propensities & analytical data products or improve the performance/quality of existing audience propensities and data products
Build, evaluate and optimize models which incorporate machine learning and artificial intelligence
Be a thought leader and champion for adoption of new technologies and enable migration to new cloud based Machine Learning stack
Collaborate with internal and external stakeholders to understand business goals and product economics, and identify relevant KPIs to assess product in-market performance
Collaborate with other data scientists and team leads to define project requirements including data sources, algorithms, and implementation
Partner with Product and Engineering teams to transition development projects to production systems
Effectively communicate complex data science concepts to marketing and business audiences
Our requirements
Solid experience in leveraging data science and modeling methods. Experience in AdTech/MarTech space is a plus.
Previous work with digital marketing datasets will be a plus
Experience with applying statistics and data science tools on large datasets. Extensive experience with data preparation (normalization, scaling, etc.) for modeling
Working knowledge of supervised vs. unsupervised learning algorithms, including linear/logistic regression, neural networks/deep learning techniques, SVM, decision trees (bagging, random forests, boosting), XG Boost, clustering, regression, and dimensionality reduction techniques
Strong skills on model training approaches, hyperparameter tuning, and model evaluation approaches
2+ years of experience building, testing and deploying production ready models in python, R, spark, Julia or similar languages and experience using Scikit learn, MLlib or similar packages
2+ years of experience building ETL transformation, SQL, modeling & mlops pipelines
Very good knowledge of English, written and spoken
Optional
Experience with E2E ML platform such as AWS Sagemaker, Google AI/ML platform
Experience using tools such as Airflow, KubeFlow for model deployment will be a plus
Exposure to CI/CD/MLOps - container-based model deployment frameworks using (Kubernetes, Docker, ECS/EKS or similar) will be a plus
At least 1 year of experience leveraging Deep Learning, Neural Network based modeling frameworks (Tensorflow, Keras)
At least 1 year of experience deploying data/analytical products at scale using Cloud technologies e.g. AWS Sagemaker, Google Cloud Platform, etc.)
This is how we organize our work
Team size
- 8
This is how we work
- in house
- you develop several projects simultaneously
- agile
Development opportunities we offer
conferences in Poland
development budget
external training
industry-specific e-learning platforms
support of IT events
What we offer
Permanent contract from the very beginning (umowa o pracę)
Life-Work balance
Multisport/participation in cultural events
Lunch+ card which can be used in cafes and restaurants
On-site English and/or German classes
Training - professional certificates, webinars, classroom trainings
Online access to thousands of technical ebooks (Books 24x7, Safari Books Online) and trainings (SkillsSoft)
Fun rooms with a pool table, darts, football table, playstation and board games
Benefits
private medical care
sharing the costs of professional training & courses
life insurance
remote work opportunities
flexible working time
dental care
no dress code
video games at work
coffee / tea
pre-paid cards
christmas gifts
employee referral program
Recruitment stages
1
HR phone screen
2
Technical Interview with TL and the team (Zoom)
3
Decision
Acxiom Global Service Center Polska sp. z o. o
Acxiom is a recognized global leader in marketing services and technology. Company was founded in 1969, headquartered in the United States with offices in Europe, Australia, New Zealand and China. Our data and technology have transformed marketing – giving our clients the power to successfully manage audiences, personalize customer experiences and create profitable customer relationships. We deliver campaigns to 127 countries in more than two dozen different languages.