Senior Data Scientist
Data
Senior Data Scientist
Warszawa
Type of work
Undetermined
Experience
Senior
Employment Type
B2B
Operating mode
Office
Tech stack
Python
Git
Machine Learning
SQL
GCP
NLP
Job description
Online interview
Responsibilities
- ML/AI: You will be fully owning the design, development of various machine learning usecases using machine learning techniques.
- Exploration/Experimentation: We thrive on innovation. You will be working with cutting edge of tools and technologies in our Data / Machine Learning platform. You will constantly be trying to find an optimized/better solution of solving the AI usecases. You will experiment with latest and brightest ideas and approaches.
- Massive data: You will wrangle / examine, experiment with massive structured and unstructured data to solve machine learning problems.
- Production deployment: You will be working closely with our machine learning engineering team for integration and deployment of the machine learning solutions into production where your ideas will come to life.
- Optimization: You will work on unique and different ideas to optimize a solution and achieve state-of-the-art results.
- Collaboration: Coordinate and work with cross functional teams, sometimes located at different geo locations.
Required
- CS fundamentals: You have earned at least a B.S. (MS / PhD desired) in Computer Science/ Statistics/ Applied Math/ Operational Research or related degree and you have a strong ethos of continuous learning.
- Experience: You have 3+ years of professional software development experience with languages and systems such as Python and version control (GIT), with good analytical & debugging skills. You have 3+ years in building machine learning or deep learning solutions.
- Machine Learning: You have worked on python libraries like pandas, numpy, Scikit learn, Tensorflow, Keras, in developing different ML/AI solutions. Knowledge about solving problems using classification, regression, time series, NLP, anomaly detection, clustering and other common problems. Experience with model interpretability (lime, shapley and similar) is a plus.
- Data manipulation: Deep interest in understanding the datasets related to the projects, spot and communicate data quality issues, knowledge of different feature engineering techniques to feed models with the best possible data.
- Languages & Tools: Experience in developing solutions in Python is a requirement. Experience in SQL is a must.
- Environments: You have working knowledge of cloud environments like GCP (preferred), AWS or other cloud data platforms.
- Project management: You demonstrate excellent project and time management skills, exposure to scrum or other agile practices in JIRA.
- Fluent in English
Offer:
- Attractive salary based on B2B
- Work on international projects and a possibility to gain professional experience within multicultural environment
- Private healthcare (Medicover), Multisport Card and private insurances
- Internal trainings, coaching and mentoring
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