Key Responsibilities:

• Lead the design, development, and implementation of machine learning models and predictive analytics solutions.
• Analyze large datasets to uncover trends, patterns, and insights that drive business growth and optimize operational processes.
• Collaborate with product managers, engineers, and stakeholders to understand business goals and translate them into data science solutions.
• Identify and apply statistical techniques and machine learning algorithms to solve complex business problems.
• Build and maintain data pipelines, ensuring data quality, consistency, and reliability.
• Provide thought leadership and guide the data science team in the adoption of new tools, technologies, and best practices.
• Communicate findings and recommendations to senior leadership and key stakeholders through reports, presentations, and data visualizations.
• Mentor and support junior data scientists, fostering their growth and development.
• Stay up-to-date with the latest trends and advancements in data science, machine learning, and AI technologies.
• Ensure data privacy, security, and compliance with relevant regulations (e.g., GDPR).

Qualifications:

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field (PhD preferred).
• 5+ years of experience in data science, machine learning, or advanced analytics roles.
• Strong proficiency in programming languages such as Python, R, or Scala.
• Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., Scikit-learn).
• In-depth knowledge of statistical modeling, predictive analytics, and data mining techniques.
• Experience with data visualization tools such as Tableau, Power BI, or Matplotlib.
• Strong SQL skills and experience working with large-scale databases.
• Experience with cloud platforms such as AWS, Google Cloud, or Azure.
• Proven ability to lead data science projects from conception to deployment.
• Excellent problem-solving skills and the ability to work independently in a fast-paced environment.
• Strong communication skills, with the ability to present complex data insights to non-technical stakeholders.

Preferred Skills:

• Experience with big data technologies such as Hadoop, Spark, or Kafka.
• Familiarity with natural language processing (NLP) and computer vision.
• Knowledge of reinforcement learning and deep learning techniques.
• Experience working in industries such as finance, healthcare, or e-commerce.

Salary and Benefits:

• Comprehensive health insurance, pension plans, and paid vacation.
• Professional development opportunities, including workshops, certifications, and conferences.
• Competitive salary range of €65,000 to €85,000 per year, depending on experience.
• A collaborative and inclusive work environment with opportunities for career growth.
• Access to the latest data science tools and technologies.