Logo of Huzzle

Home

Matches

Explore

Manage

Find 30,000+ jobs, internships & events from 6,000+ top companies on Huzzle using AI

Applied Scientist

image

TomTom

2mo ago

  • Job
    Full-time
    Mid & Senior Level
  • Data
    Software Engineering
  • Berlin
  • Quick Apply

AI generated summary

  • You hold an M.Sc./PhD in a relevant field, have 3-7 years in C++/Java/Python, data processing, SQL, and ML methods, and excel in teamwork and communication. Eager to learn and collaborate.
  • You will analyze large datasets, develop ML models, visualize insights, improve routing products, guide junior colleagues, and implement solutions in production code.

Requirements

  • You hold an M.Sc., or PhD in Applied Mathematics, Physics, Computer Science, or a relevant field. Your academic background has prepared you to tackle the complex challenges you’ll face in this role.
  • You possess advanced software skills and experience (3-7 years) in C++, Java and/or Python and your experience in developing production-grade code (incl. Infrastructure as Code) is matched by your ability to architect, implement, and maintain complex data processing systems (AWS or Azure).
  • You have relevant production experience with established tools and solutions (e.g. SQL, DataBricks, ML methods)
  • Experience in analyzing complex datasets and implementing models and algorithms, particularly with noisy real-time and historical data from connected devices as well as product event logs
  • Extensive experience in setting up and successfully conducting targeted experiments and R&D activities aligned with business objectives and customer needs.
  • You enjoy working in an international team and are a true team player. You understand that the best results come from collaboration and are eager to contribute to a collective effort.
  • Desire to learn, and expand your skill set
  • You have strong written and verbal communication abilities in English, enabling you to articulate complex technical concepts and collaborate effectively with team members.

Responsibilities

  • You’ll be responsible for extracting meaningful insights from large, imperfect datasets. Your work will turn raw data into actionable intelligence, improving the quality of our routing products.
  • You develop ML models that solve challenging problems, and lead the design, implementation, and integration of scalable AI/ML systems and services
  • Visualize and report on insights and trends (e.g. by building dashboards) in a structured way
  • Join a top-level international development team where your ideas and skills will contribute to leapfrogging competition when it comes to route quality, travel time estimation and/or electric vehicle battery consumption.
  • Dive into our products’ event streams and user sessions. Your expertise in data analysis will help decode complex datasets and transform them into valuable information that will help improve our products.
  • Generate and validate hypotheses around quality weak spots, assess the feasibility of implementing novel ideas in existing and/or “greenfield” code bases, and implement and ensure the idea ends up in our production code.
  • Guide more junior colleagues and contribute to team process improvements

FAQs

What is the primary responsibility of an Applied Scientist in this role?

The primary responsibility includes extracting meaningful insights from large, imperfect datasets and turning raw data into actionable intelligence to improve routing products.

What type of educational background is required for this position?

The position requires a M.Sc. or PhD in Applied Mathematics, Physics, Computer Science, or a relevant field.

What programming languages should I be proficient in for this role?

Proficiency in C++, Java, and/or Python is required, along with experience in developing production-grade code.

How many years of experience are necessary for this position?

Candidates should have 3-7 years of relevant experience in software development and data processing systems.

What tools and solutions should I be familiar with?

Familiarity with tools such as SQL, DataBricks, and ML methods is essential for this role.

Is experience in analyzing complex datasets important for this position?

Yes, relevant experience in analyzing complex datasets and implementing models and algorithms is crucial, especially with noisy real-time and historical data.

What are the collaboration expectations within the team?

The role requires working in an international team environment, so strong collaboration skills and being a team player are essential.

Is there any flexibility in learning opportunities within this role?

Yes, a desire to learn and expand skill sets is highly valued in this position.

What communication skills are necessary for this role?

Strong written and verbal communication abilities in English are necessary to articulate complex technical concepts effectively.

Are there any additional qualifications that would give candidates an advantage?

Yes, experience with DevOps practices, an understanding of routing and navigation quality aspects, and an interest in software architecture would be advantageous.

Will I be expected to mentor junior colleagues?

Yes, guiding more junior colleagues and contributing to team process improvements is part of the responsibilities.

image

TomTom

Technology
Industry
1001-5000
Employees
1991
Founded Year

Mission & Purpose

TomTom is a global leader in location technology, specialising in GPS navigation, mapping, and real-time traffic information. The company develops advanced software and hardware solutions that power navigation for automotive, mobility, and enterprise sectors. TomTom's mission is to create a safer, cleaner, and less congested world by innovating location technologies that improve traffic flow, enhance driver safety, and reduce emissions. Their purpose is to enable smarter mobility, ensuring efficient travel for people, businesses, and cities worldwide.