Descrição

Introduction

JOIN US! We seek a Data Scientist to join our SymphonyAI Retail team, open to locations within Europe.

As a Data Scientist at SymphonyAI Retail, you will engage in cutting-edge analytics projects that empower retailers to convert data into actionable insights. Your role will involve building predictive models, conducting statistical analyses, and facilitating data-driven decision-making. You will focus on product recognition, out-of-stock detection, and sales analytics, helping retailers stay competitive and meet evolving consumer needs.

Job Description

• What You’ll Do
• Model Development:Design and implement advanced machine learning and statistical models for product recognition, out-of-stock detection, and sales forecasting.
• Data Analysis & Insights:Analyze complex, large-scale data sets from retail environments to uncover trends, patterns, and actionable recommendations for clients.
• Collaboration:Work closely with cross-functional teams (Product, Engineering, Data Engineering, and Client Services) to align solutions with business goals and timelines.
• Continuous Improvement:Stay up-to-date with the latest techniques in machine learning, deep learning, and AI, integrating them proactively into solutions.
• Solution Deployment:Participate in the end-to-end deployment of analytical models, including validation, tuning, and performance monitoring in production environments.
• Documentation:Document methodologies, maintain best practices, and communicate outcomes to both technical and non-technical stakeholders.

• What You’ll Bring
• Educational Background:Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Operations Research, or a related field. A PhD is a plus.
• Experience:A minimum of two (2) years of relevant, focused experience.
• Technical Expertise:
• Proficiency in Python and familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, or scikit-learn).
• Solid understanding of statistical modeling, data mining, and machine learning algorithms.
• Experience working with large, complex data sets (both structured and unstructured).
• Preferred Retail Domain Experience:
• Prior experience working on retail-focused projects, especially in product recognition or out-of-stock detection.
• Familiarity with sales analytics, forecasting techniques, and demand planning within a retail or CPG context.
• Analytical Mindset:Strong problem-solving skills and ability to translate business challenges into data-driven solutions.
• Team Player:Excellent communication and collaboration skills to work effectively with diverse teams and stakeholders.
• Working Hours:Ability to maintain at least a 50% overlap with US working hours (PST timezone) to coordinate with the US team and support both US and EU clients.

• Preferred Skills
• Experience with cloud platforms (AWS, Azure, or GCP) for model deployment and data processing.
• Advanced data visualization skills with tools such as Tableau or Power BI.
• Domain knowledge in merchandising, pricing, or inventory management.

• What We Offer
• Competitive Salary and benefits package designed to attract and retain top talent.
• Collaborative and Inclusive Work Environment that values diversity and teamwork.
• Access to the Latest Technologies and tools to enhance your work and skills.
• A Chance to Make a Tangible Impact on the retail industry through cutting-edge AI solutions.

About Us

SymphonyAI is building the leading enterprise AI SaaS company for digital transformation across the most critical and resilient growth industries, including retail, consumer packaged goods, financial crime prevention, manufacturing, media, and IT service management. Since its founding in 2017, SymphonyAI today serves 1500+ Enterprise customers globally and has grown to 3,000 talented leaders, data scientists, and other professionals across over 30 countries.

Visit here , for more information about how we hire, what’s in it for you, our culture and values.