Lead Data Analyst

We are seeking a talented and passionate Data Scientist to join our finance automation team.

This role will involve extracting valuable insights from complex datasets, developing predictive models, and providing data-driven recommendations to solve critical business challenges.

You will collaborate closely with cross-functional teams, including product, finance, and other business stakeholders, to drive innovation and improve decision-making across the organization.

• Data Exploration and Preprocessing:
  • Collections, cleaning, and transformation of large and complex datasets from various sources.
  • Identification and handling of missing data, outliers, and inconsistencies.
  • Exploratory data analysis (EDA) to understand data patterns, distributions, and relationships.
  • Engineering new features to improve the performance of machine learning models.
• Model Development and Deployment:
  • Design, development, and evaluation of machine learning models for tasks such as classification, regression, clustering, forecasting, and anomaly detection.
  • Utilization of a variety of statistical and machine learning techniques (e.g., deep learning, natural language processing, time series analysis).
  • Implementation and deployment of models into production environments, ensuring scalability and reliability.
  • Monitoring of model performance and retraining as needed.
• Data-Driven Insights and Communication:
  • Analysis of model outputs and business data to identify actionable insights and trends.
  • Visualization of data and presentation of findings in a clear, concise, and compelling manner to both technical and non-technical audiences.
  • Effective communication with stakeholders to understand their needs and translate business questions into data science problems.
  • Documentation of methodologies, algorithms, and results clearly and comprehensively.
• Collaboration and Innovation:
  • Collaboration with data engineers to build and maintain data pipelines and infrastructure.
  • Close work with product managers and business stakeholders to identify opportunities for leveraging data science to drive business value.
  • Stay up-to-date with the latest advancements in data science, machine learning, and artificial intelligence.
  • Contribution to the development of best practices and standards within the data science team.
  • Experimentation with new tools and techniques to improve data science workflows and outcomes.
  
  Requirements
  • Education:
    • Bachelor's degree in a quantitative field such as Computer Science, Statistics, Mathematics, Physics, Economics, or a related discipline. A Master's or Ph.D. degree is preferred.
  • Experience:
    • 5+ years of experience in a data science role or equivalent experience involving data analysis, statistical modeling, and machine learning.
    • Proven experience in developing and deploying machine learning models in a real-world setting.
  • Technical Skills:
    • Strong proficiency in at least one programming language commonly used in data science (e.g., Python, R).
    • Experience with relevant data science libraries and frameworks (e.g., scikit-learn, TensorFlow, PyTorch, pandas, NumPy).
    • Solid understanding of statistical concepts and machine learning algorithms.
    • Experience with database systems and SQL.
    • Familiarity with data visualization tools (e.g., Looker, Tableau, Power BI, Matplotlib, Seaborn).
    • Experience with cloud platforms (e.g., AWS, Azure, GCP, databricks) and their data science services is a plus.
  • Soft Skills:
    • Strong analytical and problem-solving skills.
    • Excellent communication and presentation skills.
    • Ability to work independently and collaboratively in a team environment.
    • Strong business acumen and the ability to translate data insights into business recommendations.
    • Curiosity and a passion for learning and exploring new technologies.
    
    Benefits
    • Health Benefits:
      • A private health insurance plan offered through partners.
      • The possibility to use 2 extra medical leave days in case of need.
    • Monthly Ticket Restaurant Card:
      • To spend in thousands of affiliated restaurants, cafes, stores, or supermarkets across Greece.
    • Hybrid Working Environment:
      • An opportunity to work both remotely and at the office, enabling flexibility.
    • Office in the City:
      • Sitting on bright, large floors (over 4000㎡) in central Athens.
    • Team Activities:
      • Scheduling company/department/team activities and events outside the office space.
    • Fun & Work:
      • A relaxed work environment where you can enjoy free breakfast, beverages, fruits, playing ping pong, or video games.