In a world filled with noise, we help companies resonate with meaning, today and beyond.
We are designers, software engineers, product managers and analysts based in Germany and North America. We design products, services, customer experience and brands. We translate strategic objectives into impactful expressions that drive real results, empowering companies to reach their fullest potential.
Your Role
You will play a key role in analyzing complex data sets, building predictive models, and delivering actionable insights to support business decisions. This position offers an exciting opportunity for individuals with a strong foundation in data science to further develop their skills and contribute to impactful projects.

• Clean, preprocess, and transform raw data to prepare it for analysis, ensuring data quality and integrity.
• Perform exploratory data analysis to gain insights into data patterns, trends, and relationships.
• Develop and implement machine learning models, algorithms, and statistical techniques to solve business problems and extract valuable insights from data.
• Evaluate model performance using appropriate metrics and techniques, and iterate on models to improve predictive accuracy and effectiveness.
• Engineer features from raw data to enhance model performance and improve predictive capabilities.
• Create clear and informative data visualizations, such as charts, graphs, and dashboards, to communicate findings and insights to stakeholders.
• Collaborate with cross-functional teams, including data engineers, business analysts, and stakeholders, to define project requirements, goals, and success criteria.
• Document data science methodologies, processes, and findings, and maintain clear and organized documentation for reproducibility and knowledge sharing.
• Stay up-to-date with the latest developments in data science, machine learning, and related fields, and proactively seek opportunities for learning and skill development.

Your Profile

• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or related field.
• Strong programming skills in languages such as Python or R.
• Solid understanding of data manipulation, cleaning, and preprocessing techniques.
• Knowledge of machine learning algorithms and techniques, such as regression, classification, clustering, and neural networks.
• Experience with data visualization tools and libraries, such as Matplotlib, Seaborn, or Plotly.
• Excellent analytical and problem-solving skills.
• Strong communication and collaboration skills.
• Prior experience or projects in data science or related fields is a plus.

What you get
Everyday is Different: Engage in challenging initiatives with leading companies spanning diverse sectors such as FinTech, EdTech, Aviation, and more.
Focus on Career Development: Our yearly 360-degree feedback system, paired with diverse learning avenues, fosters your personal growth.
Remote First Company: We prioritize impact over being tied to the office. You’ll gather with your team once a week in person, and the rest of the time, you choose where you work best.
Latest Stack & Equipment: We back your excellent work with state-of-the-art equipment and the latest tech-stack.
Flexibility: Tailor your workday to fit your needs within the parameters of our flexible work agreement.
Mental Health First: Our external consultants equip us with strategies to maintain resilience and offer personalized coaching for work-related challenges.
Annual Company Retreat: Connect with colleagues from all locations during our annual retreat, where you can unwind and recharge away from the office environment.
Extra Time Off: On top of your allotted vacation days, you have the opportunity to take up to 20 additional days off as compensation for overtime during busy periods.
The Basics are Covered: Additionally, all fundamental needs are met, including competitive pay, insurance, 401(k) benefits, and access to gym/yoga memberships.
Apply now
Embarking on a new career journey can be daunting. That’s why we go above and beyond to ensure you feel embraced right from the start. Feedback is ingrained in our culture, ensuring you’re always informed about your application progress and the next steps. Excited? So are we! We’re eagerly looking forward to meeting you and welcoming you aboard the Bridges team.