Data Scientist, Kaizo

Salary not provided

MongoDB

Docker

Kubernetes

GCP

Python

Elasticsearch

Tensorflow

D3.js

NumPy

Pandas

Scikit-Learn

PyTorch

Mid and Senior level

Amsterdam

More information about location

AI-powered quality assurance for customer support teams

Job no longer available

AI-powered quality assurance for customer support teams

21-100 employees

B2BHRInternal toolsTrainingCustomer serviceSaaS

Job no longer available

Salary not provided

MongoDB

Docker

Kubernetes

GCP

Python

Elasticsearch

Tensorflow

D3.js

NumPy

Pandas

Scikit-Learn

PyTorch

Mid and Senior level

Amsterdam

More information about location

21-100 employees

B2BHRInternal toolsTrainingCustomer serviceSaaS

Company mission

To empower hybrid workforces to be more efficient, engaged and productive, so they can exceed their own performance expectations.

Job

Company

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

Improving 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, and so is often avoided.

Kaizo provides a Workforce Performance Management (WPM) platform specialising in improving customer support teams through gamification, encouraging staff to track their sales success through "missions". Through this self-tracking approach, businesses can 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

Glassdoor (3.7)

Company

Funding (last 2 of 3 rounds)

Apr 2022

$6.8m

SERIES B

Jun 2021

$4m

SEED

Total funding: $14.3m

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

Dominik Blattner

(Co-Founder & CEO)

Dominik is an Ambassador for City AI. Previously, they founded Cupenya.

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