Data Scientist - Ai/Ml Product Strategy

Buscojobs; Campania; Remoto; USD 120.000 - 160.000; Tempo pieno

Descrizione del lavoro

A leading technology firm is seeking a visionary Data Scientist to spearhead the development of AI and ML-powered products. The role emphasizes product strategy, market engagement, and innovation while driving measurable business impact. The ideal candidate has extensive experience in machine learning and a proven track record in product leadership within data science, making significant contributions to business intelligence solutions.

Competenze

• 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.
• Experience with big data tools and cloud infrastructure.

Mansioni

• Define and shape the product direction for AI / ML-based intelligence platforms.
• Design and implement advanced AI / ML models to solve real-world business problems.
• Translate complex AI capabilities into customer-centric value propositions.

Conoscenze

Machine Learning

Natural Language Processing

Product Strategy

Data Storytelling

Collaboration with Executive Stakeholders

Formazione

Advanced degree (MS / PhD) in Data Science or related field

Strumenti

Python

R

SQL

AWS

GCP

Azure

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.

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.

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