Data Scientist Guarda

Data Scientist
Guarda
Guarda, Guarda, Portugal

Join to apply for the Data Scientist role at Symphony
AI

Join to apply for the Data Scientist role at Symphony
AI

Introduction

Introduction

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

As a Data Scientist at Symphony
AI Retail, you will engage in
- edge analytics projects that empower retailers to convert data into actionable insights. Your role will involve building predictive models, conducting statistical analyses, and facilitating
- driven
- making. You will focus on product recognition,
-
- 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,
  -
  - stock detection, and sales forecasting.
• Data Analysis & Insights:Analyze complex,
  - scale data sets from retail environments to uncover trends, patterns, and actionable recommendations for clients.
• Collaboration:Work closely with
  - functional teams (Product, Engineering, Data Engineering, and Client Services) to align solutions with business goals and timelines.
• Continuous Improvement:Stay
  -
  - date with the latest techniques in machine learning, deep learning, and AI, integrating them proactively into solutions.
• Solution Deployment:Participate in the
  -
  - 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
  - technical stakeholders.
  
  

• Educational Background:Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Operations Research, or a related field. A Ph
  D 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. , Tensor
  Flow, Py
  Torch, or
  - 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
  - focused projects, especially in product recognition or
  -
  - stock detection.
• Familiarity with sales analytics, forecasting techniques, and demand planning within a retail or CPG context.
• Analytical Mindset:Strong
  - solving skills and ability to translate business challenges into
  - 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.
  

• 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.
  
  

• 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
  - edge AI solutions.
  
  

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Software Development

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