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Data Scientist, Revenue Management

2 months ago

Alpharetta, United States CHEP Full time

POSITION PURPOSE The Data Scientist’s primary focus is to support the development, execution, and management of pricing data engineering and analytic models. The Revenue Management organization for the CHEP is responsible for developing, communicating, and leading the execution of pricing & market strategy and profitability optimization through pricing and value-capture activities at both the strategic and tactical levels. The team uses modelling, analytics and econometrics (e.g. pricing elasticity) to create pricing strategies for our services. SCOPE Number of Countries: US, Canada Position Location: Alpharetta, GA MAJOR / KEY ACCOUNTABILITIES • Lead data science projects on methodology and solution development, providing guidance, mentorship, and fostering a collaborative work environment.. • Build systems that manage data through relational database systems and work with data programmatically • Leads the analysis of business problems related to pricing, marketing, finance, or supply chain; demonstrates how business problems can be solved with data and machine learning. • Collaborate with cross-functional teams to gather requirements, define business problems, and propose data-driven solutions. • Responsible for learning new data science techniques/programming languages and exploring their viability on current projects • Design and implement algorithms and models to optimize pallet supply and demand, inventory management, and transportation logistics. • Help design, implement, and measure pricing actions to provide data on pricing achievement and portfolio management scenarios. • Collects, cleanses, and automates data flows into a central repository through rigorous, well-documented computer code • Analyzes existing data sets to identify patterns, outliers, and areas of inconsistencies through relationships that exist in the data • Uses probability modeling to identify opportunities efficiency gains in supply chains • Builds models for automated data analysis and predictive insights • Creates data visualizations for end users including the use of pricing dashboards (Power BI, Tableau) or user interfaces (PowerApps or other web-based interface) • Demonstrate good judgment and analytical skills to conduct option analysis and present recommendations • Provide analysis and technical support for pricing initiatives that include setting list prices, determine customer specific discounts, and identify promotion and rebate opportunities • Synthesize external trends with internal data, including material costs, production costs, prices of services currently on the market, advertising & promotional costs with current financial margins and budget targets. • Assist with value chain analysis for the business and help to deliver key metrics to support improved service, cost reductions or product differentiation • Perform other duties as assigned MEASURES • Uses data science techniques (Machine Learning, AI, advanced mathematical techniques) to understand business problems and design solutions. • Work with broader Marketing Strategy and Transformation Team to provide portfolio level reviews and analyses for the commercial teams • Applies data science intelligently to produce desired business results • Successfully collaborate on projects with multiple stakeholders in the Pricing Center of Excellence • Support the management of North America’s pricing initiatives to drive margin optimization across the organization. • Create and maintains databases with all necessary pricing data to establish as history and data trail, on which to build future price structures and strategies. AUTHORITY / DECISION MAKING • Provides key pricing analytics and recommendations to members of commercial & business leadership teams, for use in pricing optimization and strategic decisions. KEY CONTACTS Internal: Revenue Management, Marketing, Strategy, Transformation Leadership and other functional group leadership team members (finance, sales, retails, market insights) External: Professional Pricing Society and Market Analytics QUALIFICATIONS • Management Information Systems (MIS), Data Science/Analytics, Computer Science, Statistics and/or equivalent formal training. Additional technical certifications a plus. • 3+ years’ work experience in data science position • Able to translate real-world problems into mathematical models. • Knowledge of pricing principles, strategy, and yield management techniques in a B2B type environment a plus. • Proficient with machine learning and statistics • Knowledge in classification (random forest, logistic regression), regression (linear, XGBoost) and clustering (k-means), and probability • Software development experience • Proficiency with version control software (e.g. GitHub, SubVersion, Git) is a plus. • Excellent communication skills • Proficient with cloud computing in environments such are AWS, Google Cloud, Microsoft Azure. EXPERIENCE • Participated in numerous data science projects • Utilized several data science methodologies • Works both independently and delivered results on schedule and interpedently on teams. • Presented results to a non-data scientist audience – for business decision-making and solutioning • Experience with pricing analytics software is a bonus. • Strong organizational and project management skills and the capability to manage several projects at the same time. SKILLS AND KNOWLEDGE • Use advanced data modelling tools such as R, Python, SAS to develop and enhance data-driven decision models. Data wrangling experience with code-based tools is required. • Knowledge of retrieving and wrangling data from relational databases (SQL Server, Oracle, MySQL, BigQuery, etc.) using SQL. • Advanced Proficiency in Microsoft Excel required (pivot tables, data table, formulas). • Experience with data modelling, data warehousing, and business intelligence tools (e.g., Tableau, Power BI). • Strong knowledge of economics, pricing, and financial math. • Knowledge and experience in process optimization, quality and change management projects • Excellent problem-solving abilities, with a strong business acumen and a track record of delivering actionable insights and recommendations. • Experience with cloud technologies: Amazon Web Services and/or Microsoft Azure • Experience interfacing with leaders and stakeholders across multiple teams with varying objectives (Sales, Marketing, Finance, Supply Chain/ Operations). • Strong verbal, written, and presentation communication skills, strong interpersonal skills and conflict resolution skills required. The salary range for this position is $85,000 to $115,000 per 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. We are an Equal Opportunity Employer and we are committed to developing a diverse workforce in which everyone is treated fairly, with respect, and has the opportunity to contribute to business success while realizing his or her potential. This means harnessing the unique skills and experience that each individual brings and we do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state, or local protected class.

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