Senior Data Scientist (German-speaking)

United States Digital Space LLC; United States; Remote; USD 120,000 - 160,000; Full time

Job summary

Platform for AI Success is seeking a Data Scientist to develop data-driven solutions, support client journeys, and co-create production ML projects. You will teach customers how to use the platform, integrate tools, and explore new technologies across industries.

The ideal candidate has 5+ years coding (Python, R, SQL), strong ML modeling experience, and the ability to communicate complex topics to diverse audiences.

Qualifications

• Over 5 years of experience with coding (Python, R, SQL)
• Experience building ML models
• Ability to explain complex topics to technical and non-technical audiences

Responsibilities

• Help users discover and master Platform for AI Success via training, office hours, demos, and ongoing consultative support.
• Analyse and investigate data and ML applications across industries and use cases.
• Provide strategic input to the customer and account teams to help customers succeed.
• Scope and co-develop production-level data science projects with customers.
• Mentor and educate data scientists and other customer team members to aid in career development.

Skills

Python

R

SQL

ML modeling

Data analysis

Tools

PySpark

Kubernetes

Spark

Cloud architectures

Job description

the company is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, the company connects the full enterprise AI stack - empowering organizations to run AI across multi-vendor environments with centralized governance.

The world’s leading companies rely on the company to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the the company blog, LinkedIn, X, and YouTube.

The role of a Data Scientist at the company is unique. Our Data Scientists develop solutions to real-world problems and participate in client-facing endeavours throughout the customer journey. This includes supporting their discovery of the platform, helping integrate the company with other tools and technologies, providing user training, and co-developing data science projects from design to deployment.

Just as non-technical skills are important, so are technical skills. Our Data Scientists work on the the company platform daily. Aside from the visual tools, our team mostly uses Python, with occasional work in other languages (e.g., R, SQL, PySpark, JavaScript). An ideal candidate is excited to teach customers data science, how to use the the company platform, and learn about new technologies.

How you'll make an impact

• Help users discover and master the the company platform via user training, office hours, demos, and ongoing consultative support.

• Analyse and investigate various data and machine learning applications across industries and use cases.

• Provide strategic input to the customer and account teams to help our customers succeed.

• Scope and co-develop production-level data science projects with our customers.

• Mentor and help educate data scientists and other customer team members to aid in career development and growth.

What you'll need to be successful

• German - native, English - fluent/native

• Curiosity and a desire to learn new technical skills

• Empathy and an eagerness to share your knowledge with your colleagues, the company’s customers, and the general public

• Ability to clearly explain complex topics to technical as well as non-technical audiences

• Over 5 years of experience with coding (Python, R, SQL)

• Over 5 years of experience building ML models

• Understanding underlying data systems and platform mechanics, such as Cloud architectures, K8S, Spark, and SQL

What will make you stand out

• Experience with Consulting and/or Customer-facing Data Science roles

• Experience with Data Engineering or MLOps

• Experience developing WebApps in JavaScript, RShiny, or Dash

• Experience building APIs

• Experience using enterprise data science tools

• Passion for teaching or public speaking

#LI-Remote

What are you waiting for!

At the company, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to the company! And if you’d like to learn even more about working here, you can visit our the company LinkedIn page.

*Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. the company also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer.All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: *