Data Scientist
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Key skills for this role
About the Role
Avrioc Technologies is looking for a Data Scientist to design, implement, and optimize product algorithms as part of a cross-functional team. Candidates need an MS degree, 4+ years of experience in advanced data science, and hands-on skills in deep learning, Python, and cloud platforms.
Key Skills for This Role
Responsibilities
- Design, implement, optimize, and evaluate product algorithms
- Work as part of a cross functional team of engineers, data scientists, and product owners
Requirements
- MS degree in Statistics, Math, Data Analytics, or a related quantitative field
- 4+ years professional experience in Advanced Data Science (predictive modeling, statistical analysis, machine learning, text mining, geospatial analytics, time series forecasting, optimization)
- Experience with one or more Advanced Data Science software languages (R, Python, Scala, SAS)
- Hands on experience with Deep Learning models (Image classification, Object Detection, Style transfer, etc.)
- Hands on experience with Python DL libraries (PyTorch, TensorFlow, Keras)
- Hands on experience with CUDA backend
- Hands on experience with Linux system terminal, shell scripting
- Working knowledge of ELK stack and Message Broker queues
- Proven ability to deploy machine learning models from research to production
- Comfortable with cloud based platforms (AWS, Azure, Google)
- Good planning abilities for project timeline estimates
- Ability to work independently with minimal direction
Full Job Posting
Introduction
- As part of a cross functional team of engineers, data scientists, and product owners you will be responsible for designing, implementing, optimizing, and evaluating our product algorithms.
- If you love seeing your ideas blossom through their whole life cycle from concept to governing the interaction with millions of users then Avrioc is the place to be for you!
Requirements
- MS degree in Statistics, Math, Data Analytics, or a related quantitative field
- 4+ years Professional experience in Advanced Data Science, such as predictive modeling, statistical analysis, machine learning, text mining, geospatial analytics, time series forecasting, optimization
- Experience with one or more Advanced Data Science software languages (R, Python, Scala, SAS)
- Hands on experience with Deep Learning models such as Image classification, Object Detection, Style transfer and similar
- Hands on experience with any of Python DL libraries such as PyTorch, TensorFlow on keras
- Hands on experience with working on CUDA backend
- Hands on experience with Linux system terminal, shell scripting
- Working knowledge of ELK stack and Message Broker queues
- Proven ability to deploy machine learning models from the research environment (Jupyter Notebooks) to production via procedural or pipeline approaches
- Comfortable with cloud based platforms (AWS, Azure, Google)
- Good planning abilities in order to accurately make project timeline estimates.
- Ability to show initiative and work independently with minimal direction.
Nice to have
- Comfortable with cloud based platforms (AWS, Azure).
- Good communication and presentation skills.
- Experience with media data (platforms and customer data from either the media agency, technology, or brand side).
- Good appreciation for the Agile/Scrum methodology
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