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ЛУЧШИЕ HR-РЕШЕНИЯ ДЛЯ СТРАТЕГИЧЕСКОГО РОСТА КОМПАНИЙ Мы — команда экспертов с 20-ти летним опытом работы в области Human Resources.
15 лютого 2021

Data Scientist (вакансія неактивна)

віддалено $3500–5500

Необхідні навички

Minimum Requirements:

— Minimum 3 years experience in a lead data analytics role, preferably working in a dynamic marketplace pricing environment
— Experience in developing and evolving complex high volume data models
— Experience with data management platforms including SQL (SSAS), Tableau and Jupyter Notebook and applied experience in data transformation and visualization (Pandas, Numpy, Matplotlib, Seaborn)
— Experience with probability theory
— Experience with Machine Learning techniques (Linear Models, Decision Trees, artificial neural networks) and their real world advantages/disadvantages
— Knowledge of / experience with Python
— You are motivated to work in a fast growth startup environment and can quickly demonstrate understanding of market dynamics in a logistics ecosystem
— You have skills in business analysis as well as data analysis
— You have a proven track record of being able to plan, prioritize, estimate, and deliver projects and work efforts on time
— You are willing to learn new tools and technologies to be able to work effectively in a rapid growth environment with changing needs and requirements
— You have demonstrated examples of strategic thinking and analytical problem solving
— You can work independently, are self motivated, and a strong team player
— You have excellent written and verbal communications skills and are able to communicate with all levels of the organization

Обов’язки

Outcomes:

— Build and evolve transformative, real time marketplace pricing engines based in machine learning and reflective of dynamic market conditions
— Build a deep understanding of the overall business of Super Dispatch and the Auto Transport industry
— Build data platforms analyzing product/customer/market data to discover insights, trends and patterns useful for customers and business
— Improve existing recommendation or prediction engines by collaborating with key stakeholders (internal and external)
— Build improve machine learning models to deliver reliable solutions
— Collaborate with other departments and teams to improve data collection, handling and cleansing processes
— Develop subject matter expertise of data trends within the auto transport industry
— Provide thought leadership to the data science team building and modifying advanced analytics models
— Collaborate with Marketplace Operations and data science team to identify and resolve rate issues
— Use forecasting and strategic planning to ensure accurate pricing
— Analyze business developments and monitor market trends
— Interpret and analyze data and business developments providing reporting and recommendations to make fact-based business decisions

Competencies:

— Proactive — You act without being told what to do.
— Flexible/Adaptable — You adjust quickly to changing priorities and conditions. You cope effectively with complexity and change.
— Solutions oriented — you execute efficiently and get things done.
— Growth driven — You are an eager learner. You seek growth personally and professionally. You consume content in various formats and share your learnings freely and bring new ideas to the company.
— Customer Focus — You seek first to learn. You are empathetic. You patiently listen and take feedback to solve challenges for customers.
— Communication — You can comfortably communicate in written and verbal form. You are able to effectively share information, knowledge and experience with team members, customers, and key stakeholders in all business matters.
— Kind — You are thoughtful, understanding, supportive and provide strength in challenging situations.

Про проєкт

Mission:
The mission for the Data Scientist is to support the Product, Engineering, and Marketplace Operations teams by building reliable matching and prediction solutions that can help Super Dispatch customers to move more cars, faster.
Your key responsibilities include: Analyzing and understanding customer data, various activities in the business and industry overall, collaborating with other teams and departments, and improving existing recommendation and prediction engines by using your teams ideas and knowledge.

Гарячі вакансії

Всі вакансії