Data Scientist, Kaizo
More information about location
Workforce management platform
Be an early applicant
Workforce management platform
1-20 employees
Be an early applicant
More information about location
1-20 employees
Company mission
Kaizo's mission is to revolutionize customer service workforces through performance evaluation, actionable insights, QA, and gamification.
Role
Who you are
- 3+ years industry experience
- Experience in prototyping and deploying at least one data science project to a production environment
- Experience with common data science toolkits, such as Pandas, Numpy, Matplotlib, Scikit-learn and Jupyter Notebooks
- Experience with one of the following: Tensorflow, PyTorch, or any other deep learning/machine learning framework
- Experience with data visualisation tools, such as Dash, Seaborn, D3, etc
- Good applied statistics skills, such as distributions, statistical testing, regression, etc
- Good scripting and programming skills using Python
- Familiarity with MLOps is a plus
- Experience in using one or more of the following tools and technologies is a plus: Google Cloud Platform, Github, Docker, Kubernetes, MongoDB, ElasticSearch
- Data-oriented personality
- Excellent written and verbal communication skills for coordinating across teams
- A drive to learn and master new technologies and techniques
- Being part of an early stage startup, we sometimes need you to wear multiple hats just to keep things going, hence being a team player is a must have
What the job involves
- As a Data Scientist, you will help us implement new features into our product by building and deploying production-grade models that leverage state-of-the-art technologies
- Your primary focus will be on developing high quality prediction models that can be integrated with our services, performing statistical analysis, designing scalable AI systems using innovative architecture
- NLP and NLG using state-of-the-art methods
- Improving and extending the features used by our existing systems
- Processing, cleaning, and aggregating data used for analysis
- Performing ad-hoc analysis and presenting results in a clear manner
- Creating automated systems and tracking their performance
- Building and optimising prediction systems using open source and proprietary LLMs
- Collaborating with other team-members within the company to drive product development
- Communicating results and ideas to key decision makers
- Experimenting with different tools and technologies, and evaluate new data science approaches for the business
- Hop on a journey with an exciting fast-growing SaaS company in an international environment (steep learning curve is guaranteed)
- Secure an impactful role with lots of growth potential for yourself
- Spearhead innovative initiatives on the intersection of AI/ML and NLP
- Develop scalable and accurate AI models that deliver predictive insights beyond human capacity
- Join a team of diverse and passionate people with a culture that empowers great work (15 ninjas & 10 nationalities)
Our take
Striving to constantly improve the performance of a customer support team is an essential value for a business, but doing so requires coaching based on actionable insights. Although software that measures performance analytics and produces such insights exists, this often requires staff to work in a particular manner, and without incentive, this is often avoided.
Kaizo provides a Workforce Performance Management (WPM) platform specializing in improving customer support teams through gamification, encouraging staff to track their sales success through "missions". Through this self-tracking approach, businesses are able to capture coachable moments for staff, integrate QA into work processes, and save time on manual reporting.
WPM platforms are nothing new, but Kaizo has taken a unique approach by tapping into the fulfilling feeling that comes with gamification, using this to encourage self-reporting and workflow improvement, whilst providing the data for coachable performance analytics. The company claims that this method allows businesses to improve their customer satisfaction rates by 5%, reduce resolution time by 60%, and save 4-8 hours on reporting every week.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 3 rounds)
Apr 2022
$6.8m
SERIES B
Jun 2021
$4m
SEED
Total funding: $14.1m
Company benefits
- Personal development program
- Mentorship program
- Visa sponsorship
- Stock options
- Team activities
- Referral bonus
- Workations
- Free lunch
- Remote work
- Home office setup
- Flexible hours
- Open holiday policy
Company HQ
Weesperbuurt en Plantage, Amsterdam, Netherlands
Leadership
Christoph Auer-Welsbach
(Co-Founder)Four and a half years experience as Board Chair & Investor for DAN.COM. Co-founded Kaizo as co-CEO in 2018.
Dominik Blattner
(Co-Founder)Over four years experience as Ambassador for City AI. Co-founded Kaizo as co-CEO in 2018.
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