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Ubiminds is a GPTW-certified, people-first company that partners with American software product companies to scale their development footprint. Ubi custom-curates Brazilian top 5% talent for their LATAM strategy, offering a unique combo of staff augmentation and employer-of-record services.
Ubiminds is assisting a company that is transforming the way organizations discover, engage, and hire the best talent.
Connecting companies and candidates anytime, anywhere, end-to-end hiring platform features video interviewing, assessments, and conversational AI. As an industry leader in science-backed, modern hiring solutions powered by ethical AI, they has hosted more than 70 million video interviews and 200 million chat-based candidate engagements for over 1,200 pioneering customers around the globe.
Connecting companies and candidates anytime, anywhere, end-to-end hiring platform features video interviewing, assessments, and conversational AI. As an industry leader in science-backed, modern hiring solutions powered by ethical AI, they has hosted more than 70 million video interviews and 200 million chat-based candidate engagements for over 1,200 pioneering customers around the globe.
Challenge
The Data Science team works within the Product organization to build data-driven products that fundamentally improve hiring by focusing on human potential and connecting talent to opportunity.
The team manages everything AI-related, from chatbots to assessing language used in video interviews, and more. Currently, the team is entering a new phase of innovation with candidate matching and GenAI-based tools.
The team manages everything AI-related, from chatbots to assessing language used in video interviews, and more. Currently, the team is entering a new phase of innovation with candidate matching and GenAI-based tools.
To perform this role successfully, an individual must possess the knowledge, skills, and abilities outlined below and execute each essential duty and responsibility satisfactorily, with or without reasonable accommodation.
The following describes the general content and requirements for this position, without being an exhaustive list of essential functions, responsibilities, or requirements.
The following describes the general content and requirements for this position, without being an exhaustive list of essential functions, responsibilities, or requirements.
What you’ll do
– Develop new algorithms and models to improve our products
– Extract and analyze the clients datasets around human interactions and decisions
– Formulate success metrics and algorithms for completely novel products
– Design and analyze experiments to test new product ideas
– Other duties as assigned
In order to succeed in this position, you will need:
Mandatory skills
– Advanced/fluent English skills – Excellent written and verbal communication skills.
– 2+ years of Data Science work experience
– Degree in a quantitative discipline (MS or PhD preferred) – Statistics, Mathematics, Computer Science,
Physics, Engineering, etc.
– Experience with standard Machine Learning algorithms, including model evaluation and hyperparameter
tuning
– Experience with algorithmic fairness is a plus
– Familiarity with recommender systems preferred
– Proficiency with novel NLP techniques (embedding models)
– Must program in a scripting language such as Python. Familiarity with machine learning
Python libraries like numpy, scikit, and pandas is required.
– Able to collaborate with the clients Industrial-Organizational Psychology team to perform
novel research to remain pioneers in hiring technology
– Able to translate business objectives into actionable analyses
– Able to communicate findings clearly to both technical and non-technical audiences
About Ubiminds
Cultural fit
– People First.
We are all about people!
We are all about people!
– Challenge yourself. There’s always room for improvement and continuous improvement is in our essence.
– Make it happen.
Be ready to take challenges as they come. It’s all about attitude and commitment.
Be ready to take challenges as they come. It’s all about attitude and commitment.
– We’re in this together.
We work as a team, we thrive as a team and we evolve as a team.
We work as a team, we thrive as a team and we evolve as a team.
– Averaging on awesome. We work hard to deliver high-quality services and look forward to exceeding expectations.
– Keep it real.
We promise you honesty, transparency, and openness, regardless of the situation.
We promise you honesty, transparency, and openness, regardless of the situation.
Perks and Benefits
As a Data Scientist @Ubiminds, you:
– Are placed in a product-based company, with the same treatment as their full-time employees;
– Have our full back-office support, from career guidance to HR and concierge services;
– Enjoy our remote-first policy – we are a distributed team, after all;
– Get your own MacBook (none of that “bring your own device” stuff here);
– Have access to growth opportunities with other amazing technology professionals, through tech talks, chapter meetings, and even remote happy hours for tons of fun!
– Improve your English through free lessons with a native English speaker – get to the next level of your communication skills!
– Candidate Referral bonus (promote Ubi to your tech friends, and get paid for it!);
– Miss working in the office?. Our cool Florianópolis headquarters is available, whenever you want, with weekly quick massages & tasty snacks, soft drinks, and games.
How our process works
1.
An initial interview with the Tech Recruiter (specific chat about the job opening);
An initial interview with the Tech Recruiter (specific chat about the job opening);
2. Client process (this may vary);
3.
Offer.
Offer.
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