About the Company: Our client is an innovative startup dedicated to leveraging AI to transform retail efficiency.
The team focuses on creating data-driven solutions that support operational success, aligning with the company's mission to reduce waste and optimize resources.
With a collaborative and agile work environment, the company values cutting-edge technology and impactful results.
About the Role: As the Principal Data Scientist, you'll lead a team in developing advanced data models and AI solutions that support product development.
This role includes exploring new methodologies, creating prototypes, and evaluating innovative technologies.
You'll also engage closely with clients to align technical delivery with their expectations while guiding strategic data initiatives.
Skills & Experience: Must-Have: Strong technical skills in Python, SQL, and AWS.
Experience with PySpark, serverless architectures, and production-ready solutions.
Proven client management experience, aligning technical projects with business outcomes.
Leadership ability to mentor and guide a technical team.
Background in implementing AI/Generative AI solutions in a commercial setting.
Nice-to-Have: Exposure to cloud platforms like Azure or GCP, in addition to AWS.
Experience in consulting or startups, where rapid technical delivery is key.
Hands-on knowledge of machine learning engineering, including AI-driven forecasting.
Why Work Here?
: Work with the latest AI and machine learning technologies to solve real-world problems.
Opportunity to impact the retail industry through AI innovations.
Leadership potential as the data science and engineering teams expand.
Flexible work options Competitive salary and benefits package.
Collaborative culture with diverse exposure across data science, software development, and client interaction.
Be at the forefront of developing AI solutions that rapidly move from concept to production.
Ready to Innovate?
Join a team that values creativity and impact.
Apply now and help drive AI innovation in the retail sector.
For more information, contact (email protected).