Data Scientist - AI / ML Product Strategy

Weekday AI (YC W21); Veglio; In loco; EUR 75.000 - 120.000; Tempo pieno

Descrizione del lavoro

A cutting-edge technology firm is seeking a visionary Data Scientist to lead AI/ML product development, focusing on innovation and measurable business impact. This role demands extensive experience in machine learning, strategic product leadership, and the ability to mentor a talented team. Join a dynamic environment where you can drive significant advancements in business intelligence and analytics.

Competenze

• 8-12 years of experience in ML, data science, and AI product development.
• Strong programming skills in Python, R, SQL.
• Deep understanding of NLP and LLMs.

Mansioni

• Define and shape product direction for AI/ML-based platforms.
• Design and implement advanced AI/ML models.
• Collaborate with engineering and data science teams.

Conoscenze

Machine Learning

Data Science

NLP

Python

R

SQL

Formazione

Advanced degree (MS/PhD) in Data Science, Computer Science, or Statistics

Strumenti

AWS

GCP

Azure

ML libraries and frameworks

Descrizione del lavoro

This role is for one of the Weekday's clients

Min Experience: 5 years

Location: Poland, Serbia, Bulgaria

JobType: full-time

We are seeking a visionary and technically skilled Data Scientist to lead the development and evolution of AI/ML-powered products within the business intelligence and analytics space. This role sits at the intersection of data science, product strategy, and innovation leadership, with a strong emphasis on driving measurable business impact through machine learning, NLP, and LLM capabilities.

Requirements

Key Responsibilities:

Strategic Product Leadership:

• Define and shape the product direction for AI/ML-based intelligence platforms.
• Align AI product roadmaps with market trends, business opportunities, and customer needs.
• Collaborate cross-functionally with engineering, data science, and GTM teams to execute product vision.
• Lead competitive analysis and positioning in the business intelligence domain.
  
  

Technical Development & Innovation:

• Design and implement advanced AI/ML models to solve real-world business problems.
• Build solutions leveraging LLMs, NLP, agent-based systems, and modern ML architectures.
• Work with tools such as vector databases, embedding-based search, and scalable ML systems.
• Apply best practices in data engineering, model training, evaluation, and deployment.
  
  

Client & Market Engagement:

• Translate complex AI capabilities into customer-centric value propositions.
• Support product-market fit validation and client advisory engagements.
• Help demonstrate business impact and ROI across key verticals.
  
  

Leadership & Collaboration:

• Mentor and support a high-performing team of data scientists and product collaborators.
• Champion technical excellence and a culture of innovation.
• Lead knowledge-sharing initiatives and support upskilling across teams.
  
  

Business & Impact:

• Support revenue goals, adoption metrics, and product engagement outcomes.
• Contribute to launch planning and GTM efforts in collaboration with sales and marketing.
• Track performance metrics and ensure alignment with business growth objectives.
  
  

Required Qualifications:

Technical:

• Advanced degree (MS/PhD) in Data Science, Computer Science, Statistics, or a related field.
• 8-12 years of experience in machine learning, data science, and AI product development.
• Strong programming skills in Python, R, SQL and familiarity with ML libraries and frameworks.
• Deep understanding of NLP, LLMs, and applied AI techniques.
• Experience with big data tools and cloud infrastructure (AWS, GCP, Azure).
  
  

Product & Leadership:

• At least 5 years in product-facing data science roles, with 3+ years in senior or lead positions.
• Experience working in Business Intelligence, analytics, or AI-driven enterprise software.
• Demonstrated success in launching scalable technical solutions in B2B environments.
  
  

Business Acumen:

• Ability to collaborate with executive stakeholders and influence strategic decisions.
• Strong communication and data storytelling skills.
• Understanding of product monetization and customer-centric design.
  
  

Preferred Experience:

• Familiarity with vector databases, MLOps, or cloud-native ML infrastructure.
• Previous experience in high-growth startups or product scale-ups.
• Exposure to data privacy, governance, and compliance frameworks.
• Experience supporting enterprise sales and customer success functions