Data Scientist (Python, Data Analyst, Database)

Are you looking to be more than just an ordinary Data Scientist? Do you have what it takes to see where you can improve the lives of others through a great and intelligent system to solve issues and improve life? Do you want your products to be used by millions of users in the world and know immediately how much they love your work?

At Deliveree, we rely on powerfully insightful data to power our systems and solutions. We’re seeking an experienced data scientist to analyze vast amounts of raw information to discover the hidden information and find patterns that will help us improve and deliver even better products, as well as support our sales, leadership, and marketing team to make smarter decisions. We will rely on you to find opportunities for product and process optimization and use models to test the effectiveness of different courses of action, to extract valuable business insights.

As a Data Scientist, your primary focus will be on using a variety of data mining/data analysis methods and techniques, using a variety of data tools, and doing statistical analysis. You will build and implement models, using/generating algorithms and creating/running simulations to build high-quality prediction systems integrated with our system. You must have a proven ability to drive business results with data-based insights. You must be comfortable working with a wide range of stakeholders and functional teams as well as have a passion for machine learning and research to improve business outcomes. This is a challenging but rewarding opportunity that will increase your experience in a fast-moving product startup company. Join us to disrupt the logistic industry with your skills, abilities, and passion for technologies.

Responsibilities

• Identify valuable data sources for business needs, undertake to preprocess of structured and unstructured data, and organize data into usable formats
• Assess the effectiveness of data sources and data-gathering techniques, enhance automated data collection process
• Generate and analyze large amounts of information to discover trends and patterns, use predictive modeling to increase and optimize the business outcomes
• Build predictive AI-related data models, and use machine learning algorithms and statistical techniques to produce solutions to problems
• Build algorithms and design experiments to merge, manage, interrogate and extract data to supply tailored reports to colleagues, customers or the wider organization
• Combine models through ensemble modeling, test data mining models to select the most appropriate ones for use on a projec
• Create reports and present information using data visualization techniques, propose recommendations and solutions to adapt existing business strategies
• Collaborate and work closely with stakeholders throughout the organization to identify issues and use data to propose solutions for effective decision making
• Maintain clear and coherent communication, both verbal and written, to understand data needs and report results
• Stay curious and enthusiastic about using algorithms to solve problems and enthuse others to see the benefit of your work.