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By enabling digital workforces, SKAEL is reinventing the way complex human workflows are automated across hundreds of industries in an unprecedented way. SKAEL helps companies fully automate repetitive B2B functions, through easy integrations to hundreds of enterprise systems, while harnessing powerful insights delivered through digital assistants.
SKAEL, a global leader in hyperautomation, provides a no-code digital workforce platform that helps companies of all sizes automate across disparate applications, data sources and documents, while engaging users where they are – email, text, voice, and video communication channels. While hyperautomation is the combination of RPA, ML and NLP, it isn’t just about technologies. It’s about rapidly and systematically identifying, vetting and automating as many business processes as possible, with a focus on increasingly making AI-driven decisions.
SKAEL’s mission is to deliver better user-centric outcomes through intelligent cognitive automation, empowering a synergistic human digital workforce. The company has been headquartered in San Francisco since its founding in 2016.
About the Group
The SKAI (SKAEL AI) group is in charge of developing and enhancing advanced technologies, such as artificial intelligence, machine learning and data mining, to advance SKAEL’s business and products. The group works on programs in multiple areas such as conversational AI, data wrangling, image processing, behavioral analytics, predictive analytics, business enablement, telemetrics and benchmark analytics. By leveraging advanced technologies and sophisticated algorithms, SKAI’s solutions empower SKAEL’s intelligent digital employees. SKAI comprises data scientists, AI architects, ML engineers and data engineers, and reports to the company’s Chief AI Officer.
Key Responsibilities
As a Staff Data Scientist at SKAEL, you will have a chance to work and conduct research on cutting-edge algorithms, particularly NLP/NLU, clustering and classification, neural networks, and a variety of AI/ML algorithms that improve the way human employees interact with digital employees.
As part of your role, you may need to:
Design and implement machine learning models for SKAEL platforms
Extract and manipulate large datasets using Python
Drive the collection of new data and the refinement of existing data sources
Analyze data covering a wide range of information from various document formats and databases
Experiment with, apply, and benchmark new NLP algorithms
Demonstrate feasibility of new ideas using proof-of-concept, and help integrate them to the products
Communicate complex concepts and the results of the analyses in a clear and effective manner
Collaborate with other team members and cross-functionally to share knowledge and discuss initiatives
Minimum Qualifications
A graduate degree (PhD preferred) in Data Science, Computer Science, AI or a related field from an accredited institution
Highly experienced in the relevant technologies (4+ years of post-MS experience working on projects involving NLP and Python)
Proven experience with BERT models, text classification, semantic search, SQuAD and neural networks
Capable of applying basic principles of data science (machine learning, statistics, computer science, mathematics) to solve technical problems
Can share results and communicate clearly with team members and stakeholders, even in non-technical forums
Able to mentor and guide junior team members
Additional Job Information
Remote: Work from home
SKAEL provides a comprehensive benefit package, a flexible work environment and generous paid time off. We have a flat, open structure, a team that is dedicated to our core values, and provide you with an opportunity to change the world of work.
We are an equal opportunity employer and value diversity and inclusion at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
