.We are supporting our client, Meight, to find a great Senior Data Scientist to work remote from Portugal.
Check it out Company Overview: Meight is a seed-stage tech startup based in Portugal that just raised €3.5 million to make a dent in the Road Freight industry.
We're building the first data-powered platform for Road Freight, a vertical software solution for small Road Freight carriers.
Road Freight is the largest distribution channel in the world.
The $5 trillion industry is expected to double in the next 30 years.
Road Freight has been a key enabler for humanity for the last century and is now facing disruptive challenges in sustainability, efficiency, and technology adoption.
We help Road Freight teams make a leap from being low-value employees spending time putting out fires and being single points of failure to adding value to operations where they interact with AI systems to build up company knowledge and market differentiation.
A turn-key SaaS solution with no implementation costs and no lengthy ad-hoc customizations that allows small carriers to become digital at a fraction of the cost of an on-premise ERP or Transport Management System (TMS).
Position Overview: We are seeking a highly skilled and motivated Data Scientist to join our dynamic team.
The ideal candidate will have a strong background in data analytics, statistical modelling, and machine learning.
As a Data Scientist at Meight, you will play a critical role in driving data-driven decisions, developing advanced models, and uncovering insights that will influence strategic business decisions.
In addition to your responsibilities, this role offers a unique opportunity to develop skills and knowledge in our industry, paving your way to become a Data Science leader at Meight.
Responsibilities: Data Analysis and Exploration: - Collect, clean, and preprocess large datasets from various sources.- Perform exploratory data analysis to identify trends, patterns, and anomalies.- Use statistical methods to interpret data and provide actionable insights.
Model Development and Implementation: - Develop, implement, and maintain predictive models and machine learning algorithms.- Validate and refine models to ensure accuracy and reliability.- Deploy models into production and monitor their performance over time.
Collaboration and Communication: - Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.- Present findings and insights to stakeholders through clear and concise reports and visualizations.- Provide guidance and mentorship to junior data scientists and analysts.
Continuous Improvement: - Stay up-to-date with the latest advancements in data science, machine learning, and artificial intelligence.- Continuously seek opportunities to improve existing processes and methodologies.- Participate in knowledge-sharing activities within the team and broader organization