Senior Data Scientist (m/f/d)

Kayzen; United States; Remote; USD 104,000 - 162,000; Full time

Benefits offered by this job

Directly work with founders

Exceptional career growth

Home-office setup budget

Annual learning budget

Flexible work-from-home arrangement

Home-office setup budget

Learning & development budget

Job summary

A leading mobile demand-side platform is seeking a Senior Data Scientist to join their remote team. This role involves enhancing models, developing algorithms, and exploring data solutions. The ideal candidate should have extensive experience in data science, proficient in Python, Spark, and have a good understanding of Ad-Tech. Join a multinational team and enjoy flexible work arrangements along with a significant budget for home-office setup and professional development.

Qualifications

• Extensive experience in developing data science products from initial research to production.
• Strong coding skills with a focus on clean and well-tested code.
• Hands-on experience with algorithms for large datasets in prediction, clustering, and outlier detection.
• Experience in building neural network-based products for classification and regression.
• Experience in building neural network-based products for classification, regression, and multitask learning is valuable.
• Bonus: knowledge of reinforcement learning and large-scale optimization is a significant asset.
• Good understanding of dashboards and SQL for monitoring tools.
• Previous experience in Ad-Tech is a must.

Responsibilities

• Continuously improve existing models by incorporating new features.
• Collaborate with Machine Learning Engineering to develop scalable algorithms.
• Identify and explore new data sources for effective utilization.
• Investigate new Machine Learning solutions for optimization.
• Conduct A/B tests to drive insights and refine strategies.

Skills

Python

Spark

Hadoop

Airflow

Docker

SQL

Neural Networks

A/B Testing

Reinforcement Learning

Data Exploration

Tools

Python

Spark

Hadoop

Airflow

Docker

SQL

Job description

Senior Data Scientist (m/f/d)
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

• 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.
• 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?

• 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.
• Opportunity to relocate to our office in Berlin.
• A $500 home‑office setup budget.
• A $1000 annual learning and development budget.