Fut-ure Recruitment and Technology
Lead Data Scientist role (for Greece)
Fut-ure Recruitment and Technology, Greece, New York, United States
About the client
Our client is a global technology company recognized for its strong culture of innovation, data-centric decision-making, and high-performing teams. With operations in multiple countries and a workforce comprising professionals from over 40 nationalities, the company promotes diversity, technical excellence, and collaborative problem-solving at scale.
Role Highlights:
Position: Lead Data Scientist
Type of work: On-site from Athens.
Work from office requirements: 2 day per week from the office, 3 days per week from the office. 100% remote option is NOT possible.
Type of contract: Full-time employment contract.
Contract location: Greece
Type of company: International growing tech company with operations in 15+ markets with around 2500 employees across several continents.
Years of experience required: 7+ years of experience.
Must-have tech skills: Python for ML, MLOps, experience in GenAI application development (nice to have: distributed data tools and cloud technologies).
Industry: Information technology, entertainment
Relocation support: Relocation support for Greek expats.
Bonuses, perks, benefits: Competitive pay and bonus scheme, career development, monthly meal allowance, private health insurance for the employee and their family members, continuous training and unlimited access to Udemy.
Reasons why it is a great place to work? International company, growing team, exciting project, the company is among the Best Workplaces in Europe and certified Great Place to Work across their offices.
Work permit requirements: Only candidates with valid work permit for European Union (EU) will be evaluated for this role.
About the role As a Lead Data Scientist, you will be responsible for driving the delivery of advanced AI features by guiding a skilled team of data scientists and ML engineers. This leadership role is hands-on and strategic, combining people management with technical vision. You will define the roadmap for machine learning initiatives, oversee development workflows, and ensure AI-powered solutions are successfully deployed and optimized in production environments.
Tech stack The environment is built on Python’s ML ecosystem and includes strong MLOps integration. Deep learning, distributed data processing (e.g., Spark), and cloud-based infrastructure (e.g., Azure, Databricks) are part of the broader data science toolkit.
What will you do
Lead a team of 5–7 data science and machine learning professionals.
Align AI projects with business and product goals through problem framing and prioritization.
Perform data exploration and develop features that enhance model performance.
Apply best practices for model training, evaluation, and deployment.
Conduct experiments to assess and compare various algorithms and approaches.
Guide end-to-end delivery of AI products — from data ingestion to production-ready models.
Mentor team members, promote knowledge sharing, and lead complex projects from a technical perspective.
Partner with engineering and product teams to ensure the effective integration of ML components.
Ideally you bring
Proven experience managing technical teams in data science or ML domains.
Expert-level knowledge of machine learning algorithms and theory.
Practical experience delivering machine learning models into production environments.
Familiarity with MLOps workflows and tools.
Proficiency in Python and solid object-oriented programming skills.
Strong understanding of deep learning frameworks and applications.
Excellent communication, collaboration, and decision-making skills.
Fluency in English, written and spoken.
(Nice to have) Hands-on experience with Spark or PySpark in cloud ecosystems like Azure or Databricks.
(Nice to have) Experience in pricing optimization, time-series forecasting, or related predictive modeling domains.
Compensation & Benefits Attractive salary plus performance-based incentives, opportunities for professional growth, monthly meal package, private health coverage, and continuous education and skill-building resources.
APPLY NOW
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Role Highlights:
Position: Lead Data Scientist
Type of work: On-site from Athens.
Work from office requirements: 2 day per week from the office, 3 days per week from the office. 100% remote option is NOT possible.
Type of contract: Full-time employment contract.
Contract location: Greece
Type of company: International growing tech company with operations in 15+ markets with around 2500 employees across several continents.
Years of experience required: 7+ years of experience.
Must-have tech skills: Python for ML, MLOps, experience in GenAI application development (nice to have: distributed data tools and cloud technologies).
Industry: Information technology, entertainment
Relocation support: Relocation support for Greek expats.
Bonuses, perks, benefits: Competitive pay and bonus scheme, career development, monthly meal allowance, private health insurance for the employee and their family members, continuous training and unlimited access to Udemy.
Reasons why it is a great place to work? International company, growing team, exciting project, the company is among the Best Workplaces in Europe and certified Great Place to Work across their offices.
Work permit requirements: Only candidates with valid work permit for European Union (EU) will be evaluated for this role.
About the role As a Lead Data Scientist, you will be responsible for driving the delivery of advanced AI features by guiding a skilled team of data scientists and ML engineers. This leadership role is hands-on and strategic, combining people management with technical vision. You will define the roadmap for machine learning initiatives, oversee development workflows, and ensure AI-powered solutions are successfully deployed and optimized in production environments.
Tech stack The environment is built on Python’s ML ecosystem and includes strong MLOps integration. Deep learning, distributed data processing (e.g., Spark), and cloud-based infrastructure (e.g., Azure, Databricks) are part of the broader data science toolkit.
What will you do
Lead a team of 5–7 data science and machine learning professionals.
Align AI projects with business and product goals through problem framing and prioritization.
Perform data exploration and develop features that enhance model performance.
Apply best practices for model training, evaluation, and deployment.
Conduct experiments to assess and compare various algorithms and approaches.
Guide end-to-end delivery of AI products — from data ingestion to production-ready models.
Mentor team members, promote knowledge sharing, and lead complex projects from a technical perspective.
Partner with engineering and product teams to ensure the effective integration of ML components.
Ideally you bring
Proven experience managing technical teams in data science or ML domains.
Expert-level knowledge of machine learning algorithms and theory.
Practical experience delivering machine learning models into production environments.
Familiarity with MLOps workflows and tools.
Proficiency in Python and solid object-oriented programming skills.
Strong understanding of deep learning frameworks and applications.
Excellent communication, collaboration, and decision-making skills.
Fluency in English, written and spoken.
(Nice to have) Hands-on experience with Spark or PySpark in cloud ecosystems like Azure or Databricks.
(Nice to have) Experience in pricing optimization, time-series forecasting, or related predictive modeling domains.
Compensation & Benefits Attractive salary plus performance-based incentives, opportunities for professional growth, monthly meal package, private health coverage, and continuous education and skill-building resources.
APPLY NOW
#J-18808-Ljbffr