Staff/Principal Data Scientist

Order.co; New York (NY); On-site; USD 87,000 - 101,000; Full time

Job summary

A leading company in B2B e-commerce is seeking a Staff/Principal Data Scientist to spearhead data-driven innovations. The ideal candidate will have a solid background in mathematics and statistics, with hands-on experience in AI technologies to enhance operational and business performance across various functions.

Qualifications

• Strong foundations in mathematics and statistics.
• Hands-on experience with cutting-edge AI tools.
• Experience in Generative and Agentic AI.

Responsibilities

• Develop and deploy advanced statistical models and machine learning solutions.
• Work with the head of data to design and integrate AI technologies.
• Mentor and guide data scientists, fostering a culture of innovation.

Skills

Mathematics

Statistics

Generative AI

Agentic AI

Neural Networks

Data-Driven Innovation

Job description

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Job Description

We’re looking for a Staff/Principal Level Data Scientist with strong foundations in mathematics and statistics as well as hands-on experience with cutting-edge AI tools to lead transformative data initiatives in the B2B e-commerce space. This role demands previous hands-on experience in Generative and Agentic AI and a deep understanding of neural networks, RAG architecture, and transformer technologies. This role will not only be responsible for technical delivery but also will be accountable for driving business growth through data-driven innovation.

Job Description

We’re looking for a Staff/Principal Level Data Scientist with strong foundations in mathematics and statistics as well as hands-on experience with cutting-edge AI tools to lead transformative data initiatives in the B2B e-commerce space. This role demands previous hands-on experience in Generative and Agentic AI and a deep understanding of neural networks, RAG architecture, and transformer technologies. This role will not only be responsible for technical delivery but also will be accountable for driving business growth through data-driven innovation.

Staff/Principal level Data Scientists are expected to identify and develop technology solutions to company level objectives, make business cases to secure resources, and successfully launch and scale production projects. Impact should be measured at company level primary KPIs.

Key Responsibilities

Develop and deploy advanced statistical models and machine learning solutions to improve B2B customer experience, pricing optimization, and personalization

Work hand-in-hand with the head of data to design and integrate Generative AI and Agentic AI technologies to automate and augment internal and external workflows such as product recommendations, order fulfillment, and customer support

Build scalable, end-to-end machine learning pipelines (currently using AWS SageMaker and other AWS services) tailored to high-volume transaction environments

Translate sophisticated analytical insights into strategic business recommendations, with a track record of collaborating across teams to implement solutions effectively

Design and implement complex stochastic and ensemble models to improve operations and business performance in a variety of functional areas

Take action in situations without clear data precedent, balancing the need for academic rigor with a MVP mindset and ability to iteratively deliver DS/AI Models into production

Drive experimentation frameworks and A/B testing to validate hypotheses and measure the impact of AI-driven initiatives on revenue and customer retention

Mentor and guide data scientists, fostering a culture of innovation and rigorous quantitative analysis

Evaluate and incorporate emerging AI technologies and tools to maintain a competitive edge in the fast-evolving B2B and e-commerce landscape

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Biotechnology Research, IT Services and IT Consulting, and Education Administration Programs

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