Responsibilities:
- End-to-end development of machine learning models
- Analyze large datasets in order to develop opportunities to add value using machine learning and statistics
- Building data science projects around business needs
- Collaborate with stakeholders from different departments at each stage of project
Qualifications:
- Masters or PhD degree in computer science, engineering, statistics, math or related field
- Extensive experience in at least one of the following areas: machine learning, statistics, time series analysis, deep learning, NLP, computer vision,
- Proven track record in a data science role solving real-world business problems
- Experience working with large datasets, data cleaning, preprocessing, and feature engineering
- Experience building, deploying, validating, monitoring, and updating predictive models
- Experience with machine learning tools and packages such as Tensorflow, Pytorch, Xgboost, Scikit-learn
- Teamwork oriented, positive attitude
Following qualifications are a plus:
- Relevant publications in conferences and journals
- Experience with running machine learning models on cloud platforms
- Experience with hardware (GPU, FPGA, etc.)
- Software best practices (agile, version control, experiment tracking, code review etc.)