Senior Data Scientist - Orlando, FL

By combining state-of-the-art data science techniques, cutting-edge Internet of Things (IoT) technologies, and Software as a Service, we enable a more connected, intelligent and efficient supply chain. We're creating value from massive, connected data. Our unmatched insights illu ...

Job description

By combining state-of-the-art data science techniques, cutting-edge Internet of Things (IoT) technologies, and Software as a Service, we enable a more connected, intelligent and efficient supply chain. We're creating value from massive, connected data. Our unmatched insights illuminate more than 300,000 supply chains, more than a million customers and partners, and over 300 million physical assets that are constantly on the move around the world.

CHEP is a Brambles / BXB Digital company, the global leader in supply chain logistic solutions operating through the CHEP brand. Brambles Limited is listed on the Australian Securities Exchange (ASX) and has its headquarters in Sydney, Australia. Operating in more than 60 countries, with its largest operations in North America and Western Europe, we employ more than 14,500 people and owns over 550 million pallets, crates and containers through a network of approximately 850 service centres.

SENIOR DATA SCIENTIST

POSITION PURPOSE

Develop and apply advanced data-driven solutions using machine learning and statistical models to address complex business challenges.

Build trust and drive the adoption of data science solutions by communicating insights and technical solutions to stakeholders in a clear and actionable way.

Shapes project collaborations across teams, providing mentorship, and driving capability development across the Data Science team

SCOPE

• All Machine Learning models for Advanced D&A Americas.

• All data products initiatives for Advanced D&A Americas.

• All GenAI initiatives for Advanced D&A Americas.

MAJOR / KEY ACCOUNTABILITIES

• 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 translate 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.

MEASURES

• Ensure accuracy on predictions algorithms.

• Ensure solutions created are aligned with D&A Americas strategy.

• Ensure solutions are delivered on a timely manner.

• Internal customers satisfaction.

• Develop solutions in a scalable way, standard and automated.

• Develop processes to efficiently manage data.

KEY CONTACTS

Internal: Data & Analytics Americas, Processes Digitalization, Supply Chain, Commercial, Serialization+, Finance, Digital

QUALIFICATIONS

• Technology related degree and/or a minimum of 3 years working experience in a similar role.

EXPERIENCE

• 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.

SKILLS AND KNOWLEDGE

• Coding tools and Machine Learning.

• Data management and statistical analysis.

• Business mindset.

• Strong analytic skills.

• Customer oriented.

• Strong communication skills.

• Flexible and able to work under pressure.

• Diplomatic and sensitive when serving customers of a different mentality and culture.

• Ability to work autonomously.

• Ability to work with remote teams.

The salary range for this position is $98,000 to $135,000 / year. Salary ranges provided take into account a wide variety of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications, geographic differentials and other business and organizational needs. Therefore, actual amounts offered may be higher or lower than the range provided. If you have questions, please speak to your Talent Acquisition Partner about the flexibility and detail of our compensation philosophy." Dependent on the position offered, other forms of compensation may be part of a total offering beyond medical & retirement benefits and may include other monetary incentives or business benefits.