Offer summary

Qualifications:

Minimum of 15 years of experience in data science or machine learning, with at least 5 years in a leadership role., PhD in Data Science, Statistics, Mathematics, or a related field., Strong coding skills and demonstrable expertise in building and deploying machine learning models., Familiarity with cloud platforms like AWS, Azure, or Google Cloud and their AI platforms..

Key responsabilities:

Lead and mentor the data science team, fostering a culture of excellence.

Set the long-term vision and strategy for the data science function in alignment with company goals.

Partner with product and engineering teams to integrate advanced machine learning algorithms into software offerings.

Oversee the full lifecycle of data science projects, ensuring timely delivery and high-quality outputs.

Job description

At FourKites we have the opportunity to tackle complex challenges with real-world impacts. Whether it’s medical supplies from Cardinal Health or groceries for Walmart, the FourKites platform helps customers operate global supply chains that are efficient, agile and sustainable.

Join a team of curious problem solvers that celebrates differences, leads with empathy and values inclusivity.

The AI & Frontier Model Scientist will spearhead our data science initiatives and drive innovations in data and AI. This strategic role will work across departments to harness the power of big data and machine learning, ensuring that our software remains at the cutting edge of the industry. This position will report to the EVP, Technology.

What you’ll be doing:

Lead, grow, and mentor the data science team, fostering a culture of excellence.
Set the long-term vision and strategy for the data science function in alignment with company goals.
Partner with product and engineering teams to integrate advanced machine learning algorithms into our software offerings.
Drive the research and development of state-of-the-art algorithms and ensure that the data science initiatives add value to our customers and provide a competitive edge.
Serve as the primary liaison between the data science team and other departments.
Translate complex data insights into actionable strategies for executive and non-technical stakeholders.
Foster cross-functional collaborations to maximize the impact of data science across the company.
Oversee the full lifecycle of data science projects, ensuring timely delivery and high-quality outputs.
Implement best practices for data processing, model development, validation, and deployment.
Ensure proper infrastructure and tools are available for the data science team.
Stay updated with the latest industry trends in big data and machine learning.
Hands-on work is desirable, although not required

About the team:

Our passionate global data science team has a mix of engineers with algorithm and engineering skills. Over the years the team has developed cutting-edge solutions for the supply chain industry, including our recent launches using Gen AI to improve user experience.

Who you are:

Minimum of 15 years of experience in data science, machine learning or related fields, with at least 5 years in a leadership role.
Proven experience in launching successful products with significant data science components and going through entire life cycle of model development
Demonstrable expertise in building and deploying machine learning models
Knowledge of data technologies and ML platforms
Strong coding skills
PhD degree in Data Science, Statistics, Mathematics, or a related field.
Familiarity with cloud platforms like AWS, Azure, or Google Cloud and their AI platforms
A track record of thought leadership through publications, speaking engagements, or contributions to the data science community.

Required profile