Lead Data Scientist

Praha 4, Czech republic

Applications have closed

Eurowag

Optimize your transport business with Eurowag's comprehensive solutions: fuel cards, toll services, fleet management, tax refunds, and more. Streamline operations and save across Europe.

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Company Description

WE are EW - founded just over 25 years ago Eurowag is one of the fastest growing, integrated mobility and payment solution companies in Europe. We focus on finding solutions that simplify the lives of commercial mobility companies.

Our vision is to democratize the on-road mobility industry by creating sustainable financial & technological solutions for the benefit of our industry, society and the environment.

Job Description

THIS IS WHERE YOU COME IN...

We are looking for Data Science Lead who will help us build data science team as CoE and establish data science as one of key company competencies. We are looking for pro-active personality who will work across multiple departments, promotes role of data in decision making. We do understand ML and AI are fancy words, but not always needed, therefore Data Science Lead will be trusted with choosing and implementing methods suitable for achieving results. 

You will work on initiatives like:

  • Customer segmentation - understanding customer behaviors and needs so that we can define patterns for specific segments. 
  • Pricing strategy – evaluation and prediction of pricing components in order to determine optimal revenue generation.
  • Driver behavior modelling – analyze telematics dataset model driver behavior in order to optimize fuel consumption / CO2 emissions.
  • Load matching – based on geolocation data provide our DFF partners possibility to match unassigned loads to carriers.
  • Build data science platform which will help us solve complex analytical problems in scalable way.
  • Participate on building data lake as a single source of truth for internal analytical and statistical modelling.   


YOU WILL DO:

  • Hire and lead the members of Data Science team according to core company values (perform regular 1:1s, mentor and support team members with personal growth and development, oversee and regularly review individuals performance against goals, etc.).
  • Define and execute short-mid term roadmaps for teams & squads which will reflect data strategy and company vision.
  • Define and execute team goals and objectives for individuals to ensure that Data Science strategy is properly communication and shared across all teams and individuals.
  • Transform business and domain specific requirement into complex technical specification and communicate them to different stakeholders.
  • Provide support for cross team collaboration making sure cooperation between departments is effective and constructive.
  • Oversee new trends in data science and analytics areas to ensure that top notch technologies & approaches are applied so that Eurowag data are used in effective way.
  • Define, develop & maintain data science platform.
  • Establish best practices for building data science models.
  • Take responsibility for whole data science platform solution and design new sustainable solution from ground up.
  • Provide needed consultations for data architecture, design and related areas to ensure scalable & high quality data solutions are being built.
  • Elicit business data requirements, identify data sources and required data elements, perform data validation and integration activities.
  • Translate business data needs to specific technical requirements and tasks.
  • Work in conjunction with the Data Analytics & Engineering to build scalable and manageable data solution.

Qualifications

YOU WILL NEED:

  • 5+ years of relevant full-time experience in the area of data science / analytics.
  • Deep understanding of statistics and mathematics.
  • Excellent knowledge of database principles, strong proficiency in SQL and programming languages used for data manipulation and data analysis.
  • Advanced skills in programming languages including built-in functions, visualization techniques & connected packages (Pandas, Numpy, PySpark, Jupyter Notebook).
  • Experienced in usage/application of advanced machine learning methods (simulation, scenario analysis, predictive modelling, decision trees, neural networks, hypothesis testing etc.).
  • Practical experience with DWH platforms like Azure Data Warehouse/MS SQL Server or Google BigQuery, Snowflake.
  • Ability to transform business and domain specific requirement into complex technical specification and communicate them clearly to stakeholders.
  • Proficient in English (both written and oral form).

Additional Information

WHY JOIN US?

EW is diverse, disruptive and still evolving; we choose newcomers not only by skill but also whether they can be real colleagues through shared values. What's more is you will have an opportunity to influence the direction of our company through your ideas.

WE TAKE GOOD CARE OF PEOPLE AND OUR BENEFITS ARE JUST A PROOF:

  • We have flexible working hours and enjoy using home office.
  • 5 weeks of holiday, 3 sick days, cafeteria system of benefits, where you can choose your preferred products/services (meal voucher card, pension contribution, Multisport card, leisure and culture activities).
  • We will provide you trainings and language courses.
  • Employee fuel card enables you to refuel your vehicle at bargain prices.
  • Each of us has a personal donation budget and you can spend one paid day each year as a volunteer during working hours.
  • Referral Rewards through our 'Go Far' scheme.
  • Our modern offices are in a easy reach from the metro station and offering high adjustable standing desks, relaxation rooms, summer terrace, on-site restaurant, bicycle stands and you can enjoy fresh fruit every day.
  • We have dog-friendly offices and a fully-equipped kids corner.
  • Outside the office hours we like to meet regularly at informal gatherings over a glass of wine and have fun at team events.

Join Us on a journey to Go Far!

Tags: Architecture Azure BigQuery Data analysis Data Analytics Data strategy Data warehouse Engineering Jupyter Machine Learning Mathematics MS SQL NumPy Pandas PySpark Snowflake SQL Statistics Testing

Perks/benefits: Career development Flex hours Flex vacation Pet friendly Startup environment Team events

Region: Europe
Country: Czechia
Job stats:  3  0  0

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