CB4 is looking for top talent to join our R&D team! This is a unique opportunity to join a fast-growing startup, backed by top Venture Capital firms and an ever-increasing array of international customers. Make a true impact breaking into the global, multi-billion-dollar retail analytics market and revolutionize the status quo by introducing pattern recognition and machine learning strategies.

Are you a fast learner, passionate about technology, and looking for your next big challenge in an exciting and meaningful position to grow with while maximizing your potential? – Lets meet!

Responsibilities

You will take a critical and active role in the designing, planning, developing, and decision-making processes while cooperating with our strong and experienced team of experts.

 

• Develop end-to-end data pipelines in GCP (Google Cloud Platform) ecosystem
• Research 3rd-party tools and frameworks and incorporate them into the pipeline
• Own the development, optimization and maintenance of our production data warehouses
• Develop automated auditing and monitoring procedures to assure reliability and availability
• Serve as R&D’s technical focal point to the Customer Success team
• Code quality assurance:
• Ongoing code review with teammates
• Performance and testability assurance
• Continuous code optimization

Requirements

• Strong background in Linux and system engineering – at least 5 years
• 3+ years of experience with Python
• 1+ years of experience with Bash scripting
• 1+ years of experience with a public cloud platform
• Independent and highly motivated
• Fast, autodidact learner
• Team player, great interpersonal skills

Advantages

• SQL experience
• Experience with ETL tools
• Experience in Java
• Experience with Big Data technologies and SQL/NoSQL databases

About CB4

CB4 provides patented machine learning solutions that capture consumer behavioral patterns and translates those into actionable recommendations. Backed up by Sequoia Capital, one of the most successful Venture Capital firms in the world (behind companies such as Apple, Google, LinkedIn), CB4 is aiming to revolutionize the way retailers predict consumer demand.

CB4, part of the world-leading retail Gap Inc., is looking for a top-tier Senior Data Analyst!

This is a unique opportunity to join an amazing start-up environment while backed by a Fortune 500 company. In this role, you will be expected to conduct analyses which drive business change, analyze data using modern BI and statistical frameworks, work closely with our product and R&D teams to implement new data architectures and pipelines, and act as a mentor for Junior team members.

We have a lean team, which requires each of us to expertly manage the execution of tasks, communicate frequently at a task and strategy level, and take a hands-on approach to every aspect of our Customer Success initiatives.

At CB4, we work in a flexible hybrid work model which allows the employee to choose (Work from Home/Office)

 

Responsibilities

  • Leverage our in-house Machine Learning engine to drive increasing value for our customers
  • Own Customer Insights responsibility for large, complex customers
  • Utilize and engineer custom solutions in the following disciplines: ETL/Data Warehousing, Data architecture/BI, Data Science/Machine Learning, and Retail or Supply Chain Operations
  • Understand and analyse how our customers engage with our products and how it impacts their revenue over time
  • Act as a mentor for junior team analysts
  • The Insights team and its members are often integrated into the entire retail operations process (back and front offices). As such, we’re looking for individuals who have a broad knowledge and familiarity with modern analytical techniques.

Requirements:

  • 3 years experience as a Data Analyst
  • 3+ years using SQL Databases (DDL and DML)
  • 2+ years experience coding in Python
  • Proficiency with excel - a must
  • Native/fluent English

CB4 is committed to creating a diverse and inclusive environment across our offices and teams.

We consider all qualified applicants without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

 

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