Senior Data Scientist (m/f/d)

Kayzen; Berlin; On-site; EUR 70,000 - 90,000; Full time

Benefits offered by this job

Exceptional career growth and learning opportunity

Flexible work-from-home arrangement

500-dollar home-office setup budget

1000-dollar annual learning and development budget

Job summary

A leading mobile demand-side platform is looking for a Senior Data Scientist to enhance models and collaborate with the Machine Learning Engineering team. Candidates should have extensive experience in developing data science products, strong coding skills, and proficiency in tools such as Python, Spark, and SQL. The role offers exceptional career growth opportunities, a fun multinational team environment, and flexible work-from-home arrangements.

Qualifications

• Extensive 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.
• Experience with algorithms for handling sparse and large datasets.

Responsibilities

• Continuously improve existing models by incorporating new features.
• Collaborate with our Machine Learning Engineering team to develop scalable learning algorithms.
• Identify and explore new data sources for insights.

Skills

Extensive experience in developing data science products

Strong coding skills

Proficient in Python

Proficient in Spark

Proficient in Hadoop

Proficient in Docker

Proficient in SQL

Tools

Python

Spark

Hadoop

Airflow

Docker

SQL

Job description

Europe, Remote

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

• 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.

Key Principles

• 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

• Extensive 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.
• Familiarity with Gradient Boosting Trees (CatBoost, LightGBM) in production environments is a plus.
• Experience in building neural network‑based products for tasks such as classification, regression, and multi‑task learning is highly valuable.
• Bonus skills: Knowledge of reinforcement learning and large‑scale optimization problems is a significant asset.
• Good understanding of dashboards and SQL for developing and enhancing monitoring tools.
• Previous experience in Ad‑Tech is a must.

What do we offer?

• 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 Ad‑tech market
• Direct, day‑to‑day work experience with the management
• 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
• Opportunity to relocate to our office in Berlin
• A 500‑dollar home‑office setup budget
• A 1000‑dollar annual learning and development budget