Kayzen
Senior Data Scientist (m/f/d)
Remote work allowed only within certain countries or regions.
Europe
Employer listed it 5 weeks ago · Added 5 days ago
Been open since 5 weeks ago, still being checked, but it has been live a while.
Salary
Not stated
Location
Europe
Timezone
CET ±2
Contract
Full-time
Experience
Senior
Category
Data
This employer didn't state pay. Jobs like this usually pay around $135k–$210k a year, a typical range taken from 260 senior-level data roles on Nomaders that do state pay. It's a guide, not an offer.
Remote flexibility
Region Restricted
Remote work is allowed, but only for candidates based in Europe.
What the employer says
- Source listing states candidate location: "EMEA Remote, Remote EMEA"
What Nomaders makes of it
- Applications outside the listed area are usually rejected
- Timezone overlap with the listed area is often expected
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the role
Europe, Remote _______________________________________________
Hello👋I am Puneet , Co-founder and CPO at Kayzen, and I am now looking for a Senior Data Scientist to join our team 🙌
But wait, you have not heard of Kayzen before?😃
Kayzen is a mobile demand-side platform (DSP) dedicated to democratizing programmatic advertising. We enable leading apps, agencies, media buyers, and brands to run programmatic customer acquisition, retargeting, and brand performance campaigns through its self-serve and managed service options. Built on the three core pillars of performance, transparency, and control, Kayzen powers the world’s best mobile marketing teams with bespoke solutions that fuel business growth and deliver a competitive advantage. With an unprecedented scale of 160B+ daily ad requests from 1.6B+ unique users worldwide, we serve up to 1B+ ads per day in 180 countries. Kayzen is accessible through our APIs and user interface.
The Team
You will work with a carefully selected, diverse and globally distributed Data Science team (like Heiko , Chen ) on various machine-learning models that process terabytes of data, serving billions of ad requests and users around the globe in real-time. We are highly motivated and aligned in our quest to disrupt the multi-billion dollar ad-tech industry. We would like you to be part of our journey, as our Senior Data Scientist (m/f/d) .
Responsibilities
Our day-to-day work in Data Science and Machine Learning encompasses a wide range of activities, including:
Enhancing Models: Continuously improving existing models by incorporating new features, fine-tuning parameters, and utilizing additional data.
Algorithm Development: Collaborating with our Machine Learning Engineering team to develop and deploy scalable supervised and unsupervised learning algorithms.
Data Exploration: Identifying and exploring new data sources while researching innovative ways to leverage both new and existing data effectively.
Solution Research: Investigating new Machine Learning solutions to optimize every step of our value chain.
A/B Testing: Regularly conducting and evaluating A/B tests to drive insights and refine our strategies.
You’ll be a great fit if you resonate with the following principles of Data Science and Machine Learning:
Simplicity First: We prioritize finding the best solutions to challenges rather than forcing problems to fit predetermined solutions.
Impact-Driven: We leverage Machine Learning to enhance our product and drive performance for our clients, always focusing on tangible business outcomes.
Collaborative Spirit: Our teams consist of analysts, engineers, and data scientists, making strong communication skills essential for success.
Embrace Experimentation: We believe in the power of experimentation to innovate and refine our approach continually.
Requirements
Minimum 5 years of experience in developing data science products, from initial research through to production deployment.
Strong coding skills with a focus on clean, reproducible, and well-tested code.
Proficient in key tools and technologies including Python, Spark, Hadoop, Airflow, Docker, and SQL.
Hands-on experience with algorithms for handling sparse and large datasets, including applications in prediction, clustering, and outlier detection.
Experience in building neural network-based products for tasks such as classification, regression, and multi-task learning is highly valuable.
Requirements
- ·Responsibilities
- ·Our day-to-day work in Data Science and Machine Learning encompasses a wide range of activities, including:
- ·Enhancing Models: Continuously improving existing models by incorporating new features, fine-tuning parameters, and utilizing additional data.
- ·Algorithm Development: Collaborating with our Machine Learning Engineering team to develop and deploy scalable supervised and unsupervised learning algorithms.
Benefits
- ·Directly working with Founders and an opportunity to drive direct impact
- ·Exceptional career growth and learning opportunity
- ·A unique opportunity to be part of an experienced team of industry experts and entrepreneurs who bring massive change to the Adtech market
- ·A fun, driven, and multinational team located across Germany, India, Argentina, Canada, Spain, the UK and many more countries.
- ·A flexible work-from-home arrangement
How to apply
- 1Check the flexibility label above, region restricted, matches where you plan to live and work.
- 2Tailor your CV to the role at Kayzen, mentioning your remote working experience and working hours (CET ±2).
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 5d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
Similar roles
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Free to apply, no account needed.
Typically $135k to $210k per year · You'll be taken to the employer's careers page.