Director Software Engineering
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    What you’ll do:
    • Be responsible to define, design and scale the right metrics to measure the quality and evolution of the products, by stating the quality level of our maps via statistical experiments that help us understand where we are and why, and deliver effective insights that help drive our map editing strategy

    • Draw the strategy based on insights obtained by manipulating data from a huge variety of sources: system logs, satellite imagery, vertical imagery, street level imagery, GPS traces, etc - individually and by fusing several combinations of these sources

    • Design processes to use these sources individually or their combinations to predict various map features and attributes by training statistical models/ ML / AI models

    • Be responsible for the performance and results of a team

    • Develop departmental plans, including business, production, operational and/or organizational priorities

    • Control resources and policy formation in area of responsibility

    • Make decisions guided by resource availability and functional objectives, decisions usually may need be taken without clear policies and procedures.

    • Manage large, potentially diverse teams of senior professionals 

    • Look beyond existing methodologies and own discipline to define and resolve complex problems

    • Develop plans and delivers results in fast changing businesses and/or regulatory environments

    • Provide input to functional or departmental strategy

    What you’ll need:

    • Bachelor’s/Masters/PHD in Computer science, Engineering, Mathematics, Statistics, or equivalent field 

    • Minimum 10 Years of experience working as a Data Scientist, coding on Python or deploying ML at scale in production 

    • Proven experience in managing and motivating teams of Data Scientists and Data Engineers

    • Experience working with Python, Spark & Big Data technologies

    • Experience in deploying trained models for high scalability on public cloud platforms

    • Experience with using GIS tools for spatial data analysis

    • Outstanding organizational skills, ability to manage multiple projects - passionate about technology adoption

    • Effective communicator, strong interpersonal skills and excellent team player

    • Excellent written, verbal and presentation skills, good at data storytelling

    • Self-motivated, driven and results oriented

    • Strong analytical skills and problem-solving abilities

    • Ability to travel

    What we offer  

    • Competitive compensation package.

    • Work flexibility program (Working @ TomTom) - work from both home and the office!

    • Home office benefits, with a setup budget and a monthly allowance to support.

    • Chance to work abroad for 90-calendar days in select countries and states! 

    • Holiday package that includes your birthday off and a volunteering day per year. 

    • Bring your ideas and innovation to life during our Hackathon, DevDays, and more! 

    • Take on learning opportunities – internal programs, O’Reilly and LinkedIn learning. 

    • The opportunity to join one of the few top tech location specialists and have an impact on the future of mobility. 

    • Be part of a supportive, inclusive, and global culture.

    After you apply  
    1. First call: If your application matches the role, then it’s time to put a voice to the name! We’ll call you to set up an interview. 
    2. First interview: In this interview, we want to know more about you – what excites you about location technology and how can you help us solve global challenges. 
    3. Online assessment: We’ll set you an assignment - use your expertise to show us what you’ve got. 
    4. Second interview: We'll dive into your potential role, showing you how you’ll fit into your team and contribute to our vision. 
    5. The final decision: Cue the fireworks, because we’ll start the onboarding! 

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    After you apply

    1. First call
    If your application matches the role, then it’s time to put a voice to the name! We’ll call you to set up an interview.

    2. First interview
    In this interview, we want to know more about you – what excites you about location technology and how can you help us solve global challenges.

    3. Online assessment
    We’ll set you an assignment - use your expertise to show us what you’ve got.

    4. Second interview
    We'll dive into your potential role, showing you how you’ll fit into your team and contribute to our vision.

    5. The final decision
    Cue the fireworks, because we’ll start the onboarding!
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