Senior Data Scientist at Snowflake working on predictive modeling and financial forecasting initiatives. Leading high - impact projects at the intersection of ML and business strategy.
About the role
- Senior Data Scientist utilizing machine learning and statistical models to improve logistics solutions at CHEP. Collaborating with stakeholders and mentoring junior scientists.
Responsibilities
- Collaborate with key stakeholders to identify business challenges, translating ambiguous problems into structured analyses using statistical modelling and machine learning algorithms.
- Lead the selection, validation, and optimization of models to discover meaningful patterns and insights, ensuring models remain relevant, reliable, and scalable.
- Drive continuous integration and deployment of data science solutions, optimizing performance through advanced machine learning techniques, code reviews, and best practices.
- Develop and deliver sophisticated visualizations, dashboards, and reports translating complex data into clear, actionable insights for business stakeholders.
- Present technical solutions to business stakeholders, using creative methods to explain complex concepts, increase understanding, and encourage solution adoption.
- Mentor and develop junior data scientists, fostering a culture of continuous learning, knowledge sharing, and skills development within the organization.
- Write clean, high-quality code, ensuring all outputs pass quality assurance checks, and contribute to the development of novel solutions to solve complex business problems.
- Stay informed on industry trends, emerging tools, and techniques, applying them to improve data science practices and encourage innovation within the team.
- Lead strategy development for one or more data products, managing roadmaps, identifying requirements, and collaborating with business stakeholders to ensure alignment with business goals.
Requirements
- Technology related degree and/or a minimum of 3 years working experience in a similar role.
- Previous data science experience applying advanced algorithms to address practical problems.
- Advanced hands-on experience in Python data libraries.
- Proven track record in developing machine learning models (time series, clustering, regression analysis, deep learning).
- SQL experience (Ability to read/write complex SQL queries).
- Worked with measures and KPIs.
- Working on remote teams.
- Proved experience with Project Management (manage priorities, standardization, automation, troubleshooting and long-term planning).
- Experience with process automation and workload reduction.
- Experience implementing data new solutions from scratch.
- Experience with software development (applied to data science).
- Experience with NLP and computer vision is a bonus.
- Proficient using Microsoft tools: Excel, Access, Word, Power Point, Visio.
Benefits
- Hybrid Work Model
Job title
Job type
Experience level
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Degree requirement
Tech skills
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