Senior Data Scientist (m/f/d)

Senior Data Scientist (m/f/d)
Europe, Remote
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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 app developers, agencies, media buyers, and brands to run programmatic performance campaigns in both self-serve and managed service modes.

Built on the three core pillars of performance, transparency, and control, Kayzen powers the world's best mobile marketing teams to take programmatic advertising in-house.

With an unprecedented scale of >160bn daily ad requests from 2bn+ unique users worldwide, we serve more than 700M ads per day in 180 countries. Kayzen is accessible through our APIs or user interface.

The Team

You will work with a carefully selected, diverse, and globally distributed Data Science team 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

• 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 Adtech market.
• Direct, day-to-day work experience with the management.
• A fun, driven, and multinational team located across Germany, India, Argentina, Canada, Spain, Turkey, the UK and many more.
• 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.