Data Scientist

Job title:

Data Scientist

Company:

Akuaro

Job description

Our partner is a leading player in the mobility sector, specializing in offering convenient, reliable, and safe transportation services.As a Senior Data Scientist, you’ll join a high-performing Data Science team with access to all organizational data, working on impactful projects across vehicle and route management, user experience, pricing, fraud detection, and marketing optimization. You’ll use state-of-the-art tools and infrastructure to improve operations in over 40 cities worldwide, helping to shape the future of urban mobility.You will:

• Propose and develop high-impact data science projects in collaboration with data, engineering, product, and business teams.
• Design, execute, and analyze real-life experiments, following scientific methods to validate new product features.
• Build and deploy machine-learning models, managing all aspects from training to monitoring and serving.
• Translate data science outputs into actionable business insights to add value across the organization.
• Participate in research and innovation, sharing new ideas and expanding the team’s knowledge base.
• Communicate complex concepts effectively to diverse stakeholders, fostering a data-driven culture.
• Act as a technical reference for the team, mentoring peers and promoting best practices.

You have:

• 5+ years of professional experience as a Data Scientist or in a similar research role.
• A strong academic background (Master’s/PhD) in Computer Science, Mathematics, Physics, Engineering, or a related field.
• Expertise in Python for data analysis and visualization, and proficiency in SQL for data processing.
• Experience deploying and managing machine-learning models in production environments.
• The ability to work independently in unstructured settings and take initiative.

Bonus Points for:

• A strong foundation in Probability & Statistics.
• Experience with scientific experimentation, including design, testing methodology, and statistical analysis.
• Knowledge of advanced topics like deep learning, time series analysis, Bayesian statistics, or causal inference.
• Proficiency in geo-data modeling and visualization.
• Publications in peer-reviewed scientific journals.

What’s in it for you?We prioritize employee well-being and growth. Benefits include:

• Health insurance and wellness programs.
• Flexible working hours and hybrid work model in Madrid
• Personal and professional development opportunities.
• Team-building activities and a vibrant work culture.
• Generous vacation policy and additional company holidays.

If you’re curious about learning more and think you’re a match, feel free to apply!

Expected salary

Location

Madrid

Job date

Thu, 23 Jan 2025 23:53:44 GMT

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