Data Scientist

Key Skills

Python Programming, SQL, Big Data Technology, Data science techniques, Keras software library, Natural Language Processing (NLP), PyTorch, TensorFlow, R Programming

Job Description

Data Scientist

Office Location | Boston, MA, US

We are developing data-driven products proving that doing and saying the right things is a good business. Good Business. Better World. We are looking for a motivated, enthusiastic individual to join our data science team. The role is a blend of hands-on data science work, an eye for innovation, and an understanding of the markets in which we work.

The new Data Scientist will be part of our Global Data Science, based in our Boston headquarters.

Role Responsibilities:

• Develop cutting edge advanced analytics, AI and machine learning algorithms and models to enhance and innovate our data-driven SaaS offerings
• Automate commonly used analyses into POC advanced analytics packages
• Work with text mining, text analytics and NLP
• Manage the creation, development, and iterative improvement of training sets for machine learning solutions that power our core product
• Identify, test and use industry available data science and machine learning packages, tools and platforms
• Create model comparison benchmarks and model selection processes
• Support Engineering in model optimization and productization
• Work with media data to create novel models and work with our cross-functional media team on bringing these models into our products
• Manage strategy for multi-source data collection and merging for advanced analytics and ML/AI modeling
• Work on Media data scraping algorithms
• Deploy a variety of supervised and unsupervised machine learning models, including ensemble methods, deep learning, transfer learning, clustering and other state of the art techniques
• Research latest developments in AI/ML and NLP to keep innovating our solutions and offerings

Professional Qualifications

• 1+ years of experience in Data Science, AI/ML modeling, and data processing and analysis, from the creation of the dataset to the final model in production
• Strong data pre-processing and data manipulation skills
• Data quality and data cleansing techniques
• Strong knowledge of Python and relevant to data science Python packages and tools, including data visualization
• Advanced data analytics skills, including proven hands-on experience of building models in Python with relevant libraries and packages
• Understanding of Cloud Platforms (e.g. AWS/Azure/GCP) and ability to use them for developing, training and testing machine learning models, including deep learning models
• Familiarity with TensorFlow, Keras, PyTorch
• Understanding of the principles of data strategy and architecture
• Familiarity with autoML tools is a plus
• Experience or familiarity with R and/or SPSS is a plus
• Text mining and NLP background is a plus

 Desirable qualifications

• A technical background and an academic scientific degree in Mathematics, Computer Science, Data Science or similar
• M.Sc. or Ph.D. is a plus