Data Scientist - AI/ML Product Strategy

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.

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.