Data Scientist

• *Job Title: Data scientist (f/m/x)
• *Location:

Berlin, Germany

• *Company:**

Innovative AI Startup; B2B SaaS

• *About Us:
• *Join our dynamic and rapidly growing B2B SaaS startup, SAIZ

, based in the heart of Berlin! Just two years into our journey, we're on a mission to revolutionize the way apparel businesses operate. Powered by advanced analytics and artificial intelligence, we provide cutting-edge software solutions that empower apparel brands to reduce returns, enhance customer satisfaction, and embrace sustainability. Our team thrives on innovation, collaboration, and a startup culture that encourages independence and creativity.

• *Role Overview:
• *We are seeking a talented and motivated Data scientist

(f/m/x) to join our team. In this role, you will be instrumental in designing, developing, and maintaining our data infrastructure, ensuring the smooth integration and processing of data. You will work closely with various teams, including data analysts and clients, to support data-driven decision-making and enhance our product offerings. As a team, we plan our tasks on Jira and include them in our sprints. You will have the freedom to develop your own ideas

• *Key Responsibilities:
• ML Models**

&

• *Algorithm design**

and optimizations

• Product performance & product conceptualization
• Scientific method

to improving algorithms and outputs

• Designing A/b Test

: statistical analysis on product and users

• Data warehouse & Data Infrastructure:

Build and optimize data infrastructure to ensure reliability, scalability, and performance of our data systems.

• Data Management:

Ensure data quality, consistency, and security across various data sources and systems.

• Problem Solving:

Address and resolve complex data-related challenges, using your technical skills to devise effective solutions.

• Continuous Improvement:

Stay updated with the latest industry trends and best practices to enhance our data processes and technologies.

• *Qualifications:
• Technical Proficiency:**

Strong skills in

• *Python**

and

• *SQL**

are essential.

Experience with cloud infrastructure (

• *AWS**

, Azure);

• *Docker & Kubernetes**

skills are elementary. Building and maintaining data pipelines for reading, structuring, cleaning, and testing data, is highly desirable.

• *Airflow**

&

• *DBT**

are a plus.

• 3+ years of work experience required
• Analytical Mindset:

A solid understanding of data structures, algorithms, and data modeling.

• Educational Background:

Degree in Computer Science, Engineering, or a related field.

• Experience:

Previous experience in a data engineering role, particularly in a startup or fast-paced environment, is preferred.

• Independence:

Ability to work independently and manage multiple tasks effectively.

• Fast Learner:

Eagerness to learn and adapt quickly in a dynamic startup environment.

• Communication Skills:

Excellent verbal and written communication skills to collaborate with technical and non-technical stakeholders.

• *Why Join Us?
• Startup Culture:**

Be part of an energetic and innovative startup environment.

• Impact:

Directly influence our product development and business strategies with your insights.

• Growth Opportunities:

Expand your skills and grow with our company as we continue to scale.

• Collaborative Team:

Work alongside a passionate and driven team that values creativity and independence.

• The job is full-time and remote
• *How to apply:
• *If you are enthusiastic about working in a startup environment and passionate about data engineering, we would love to hear from you! Please apply via the Easy Apply function or email

careers@saiz.io , including your resume and answers to a few questions.

At SAIZ, we are committed to creating an inclusive and supportive environment where all individuals can thrive. We warmly welcome candidates of all different backgrounds and identities to apply, valuing the unique perspectives each individual brings. Our ongoing dedication is to further diversify our team, enriching our collective experiences and driving innovation.

Join us in our mission to transform the apparel industry and digitize production in fashion with innovative data-driven solutions.