Data Scientist

Athens, Attikí, Greece

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Satori is an Analytics Agency made with one simple vision: to give clarity in decision making through data analytics.

Whether it’s a cloud-based big data ecosystem for a global fintech or a machine learning model predicting churn for a leading airline group, Satori develops cutting edge analytics solutions, providing real value to its clients. Services cover the whole data lifecycle from ingestion and warehousing to ML and AI applications.

Satori is a scale-up, well on track to become the leading data and analytics company in South-Eastern Europe and already a 100+ specialized tech team, consisting of Data Engineers, Data Scientists, Software Engineers, QAs, and CRM Specialists, delivering innovative data, tech, and customer experience solutions. The majority of our clients are household names and global brands in FMCG, retail, ecommerce, financial services, and travel, with a footprint in Greece but also across Europe and beyond.


We are currently looking for a Mid Level Data Scientist to work with one of our key clients, a Telecommunications household name!


Your day to day

You will be working in a vibrant, fast-paced environment, so you can never expect to have just another typical day at work. Sometimes you will feel out of your comfort zone, but you will probably never feel bored! 


As part of the team, you will work with Solution Architects, Developers, Data Engineers, Product Owners, Business Analysts, Project Managers, and QAs to ensure the validity of work. You will also liaise with clients and stakeholders as part of a project team. You will be using the latest tools, techniques and methodologies.


On any particular day you will be doing several of the following:

  • Extract and analyze data to drive innovation, optimization, and process automation.
  • Working closely with stakeholders to improve product development and business strategies.
  • Break apart problems scientifically, interpret data with a clear objective in mind.
  • Form hypotheses and validate. A/B test newly developed solutions and compare them with legacy approaches.
  • Communicate results and ideas to key decision makers, providing insights and findings to both technical and non-technical partners

We guarantee one thing, working with the latest cloud tech stack and investing in your continuous growth and development!

Requirements

Your professional expertise


In order to be considered you need to have:

  • 3+ years of experience manipulating data sets and building Machine Learning Models
  • Master’s Degree or PhD in Computer Science, Statistics, Applied Math or another quantitative field
  • Strong experience using statistical computer languages, preferably Python, and query languages like SQL.
  • Great knowledge of a variety of machine learning techniques and experience working with Artificial Intelligence libraries (like XGBoost, H2O, Scikit-Learn, Tensorflow, Keras).
  • Experience with Cloud Services (preferably Azure Databricks / AWS).
  • Hands-on experience with Google Cloud and Apache Spark will be considered a plus.



In essence, you have the necessary skills to:

  • Have a keen eye for detail, prompt problem solving capability and self-motivation.
  • Form hypotheses and validate. A/B test newly developed solutions and compare them with legacy approaches.
  • Being a creative and strategic thinker, having the ability to work comfortably in a group setting.
  • Excellent command of written and spoken English.


You will stand out if you have:

  • Produced high quality AI solutions and attend to their best commercial application
  • Being a strong advocate of using data science to drive business decisions
  • Enhanced customer facing flows with data and AI, contributing actively to better customer experience and revenue targets


Benefits


Our most important perk is offering you an energy-laden workplace with some of the market’s top talent and an opportunity to see your work affecting big real-life business decisions. Apart from that, here are some highlights:

  • Competitive salary based on experience.

  • Hybrid work model: flexibility to work from home and fully remotely up to 6 weeks per year.

  • Amazing offices in the center of Athens alongside nice perks (free beverages, fruit and snacks).

  • Dedicated training time and budget for upskilling/courses etc.

  • Dedicated time and budget for official certifications.

  • Private Insurance.

  • A great and fast laptop to do your magic.

  • Opportunity to work with latest tech stack and real tech experts.

Also: Living abroad and thinking of relocating to Greece? Let us know and we will try to make your decision easier!

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Data Science Jobs

Tags: AWS Azure Big Data Computer Science CX Data Analytics Databricks E-commerce FinTech GCP Google Cloud Keras Machine Learning Mathematics ML models PhD Python Scikit-learn Spark SQL Statistics TensorFlow XGBoost

Perks/benefits: Career development Competitive pay Gear Snacks / Drinks Startup environment Travel

Regions: Remote/Anywhere Europe
Country: Greece

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