Data Scientist - IT

Company:

- My client is a research platform that augments human intelligence.

- They have been providing cutting edge AI, NLP, BI software services to Fortune 100 organization in the US.

- Specialized in Algorithms, Machine Learning, Augmented Intelligence, Data Science, Culture and Trends Identification, Strategy Tool, Business Intelligence, Market Landscapes, Competitive Analysis, Marketing, and Advertising Analysis, Innovation and Horizon Scans, and Patent Mapping

Role Description:

- The Quality & Tools Engineering team at the company provides guidance in test planning and execution to the whole engineering organization, builds testing tools and frameworks, reports on quality of the product, and continually looks for improvement.

- We partner with the Data Science team to validate and enhance the quality of the new Machine Learning models and iterate on the existing models.

- This work includes checking the quality of the training dataset, preparing datasets for testing, running statistics on human-labeled datasets, evaluating precision and recall on the resulting ML model, reporting on unexpected patterns in outputs, and implementing necessary tools to automate repetitive parts of the work.

- Must have hands-on experience in Python C, Machine Learning, Deep Learning, Algorithms, Data Science.

Education: Bachelor's Degree in Computer Science, Statistics, or other quantitative fields

Your Qualifications:

- Ability to work remotely with the US-based team, including a strong internet connection and occasional availability during US hours

- A tester mindset

- Team player

- Good understanding of statistics

- Exposure to Data Science / Machine Learning techniques

- Coding proficiency in Python

- Comfortable with MS Excel or Google Spreadsheets

- Ability to rapidly learn new techniques and software tools

- Great communication skills including clear, concise English writing style

Why my client:

- You get to Work for a San Francisco startup in the business data analytics space

- Contribute to the quality of a complex product.

- Deepen your knowledge of Data Science, Machine Learning, NLP

- Learn agile QE approaches to testing DS/ML that involve crowdsourcing

- Solve puzzles every day

- Work on a tightly knit team of like-minded individuals engaged in relentless pursuit of quality