Senior Data Scientist
Super Dispatch
- Казахстан
- Постоянная работа
- Полная занятость
- ML/AI Development & Engineering:
- Design and build new ML/DL/AI models, algorithms, and pipelines to meet business requirements
- Support and improve existing ML algorithms and pipelines to deliver reliable and scalable solutions
- Write production-quality Python code with comprehensive tests
- Build and evolve transformative, real-time marketplace pricing engines based on machine learning that reflect dynamic market conditions
- Improve existing recommendation and prediction engines by collaborating with key stakeholders (internal and external)
- Analysis & Insights:
- Conduct use case analysis and automate analytical workflows
- Formulate hypotheses and run analyses to verify them
- Design and build dashboards in Metabase to enable data-driven decision making
- Collaboration & Cross-Functional Work:
- Collaborate with Marketplace Operations and Data Teams to identify and resolve issues using data science and machine learning methodologies
- Collaborate with other departments and teams to improve data collection, processing, error handling, and data normalization
- Provide thought leadership on data science to Product and Engineering Teams with best practices
- Project Management & Problem Solving:
- Estimate roadmap items and support delivery of company roadmap commitments
- Troubleshoot and fix issues identified in production systems
- Business Acumen:
- Develop a deep understanding of the overall business of Super Dispatch and the Auto Transport industry
- 5+ years experience in developing and evolving complex high volume data models
- 3+ years 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 strong Statistics and Mathematics knowledge
- 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 an understanding of market dynamics in the logistics ecosystem
- You have skills in 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
- Excellent communication, interpersonal, and organizational skills - you are a great writer, speaker, and listener. You can communicate technical concepts to both technical and non-technical audiences.
- Team player - you have a collaborative mindset and the ability to build positive relationships with individuals across the organization
- Analytical mindset - you are able to structure and process data and draw insightful conclusions from it.
- Open and positive - you have the willingness to learn and are open to criticism and new ideas
- Proactive - you act without being told what to do and regularly bring new ideas and perspectives
- Highly motivated - you are a self-starter with a strong work ethic
- Flexibility - you adjust quickly to changing priorities and conditions, you respond positively to complexity and change
- Sense of urgency - you thrive in a fast-paced, get-it-done environment
- Bonus points for experience building and deploying services in Python
- Graduate from Super Dispatch's company-wide new employee onboarding program. You'll get caught up with who we are, how we work, and what we're building.
- Understand the full functionality of Super Dispatch products, as well as the greater auto transportation industry and competitive landscape.
- Learn and understand the current Pricing Engine
- Explore the Product data, gain industry and business knowledge
- Align with the team on the vision and plan of improving the engine
- Start improving the engine accuracy based on the plan
- Know all our ML algorithms and features
- Have an end-to-end process for implementing improvements
- Contribute to the plan with your new knowledge
- Make data analyses
- Support existing ML algorithms and pipelines with guidance
- Work on ML projects with guidance
- Help stakeholders with identifying the next steps that can be impactful for the engine
- Own the engine and its performance
- Lead ML projects
- Run A/B tests
- Design and build ML algorithms and pipelines
- Proactively identify bottlenecks, problems, and areas for improvements and own the execution of these changes
- Provide your knowledge and experience to other departments and teams on building solutions that involve Data Science
- Great Culture - We strive for transparency, and you'll work with like minded highly motivated people excited about solving complex problems
- Remote First Culture - We're a 100% distributed team!
- Gym/Wellness Stipend - We provide a monthly stipend for gym memberships ($50/month)
- Generous Time Off Flex PTO policy so you can take the time you need, when you need it, as well as 6-12 weeks paid paternity leave
- Great gear – we'll set you up for success with the right tech and help you outfit your home office, if needed.