Job Description

As a Product Manage /Sr PM r for Pricing and Strategy, you will own the end-to-end lifecycle of pricing models and strategies for our logistics offerings. A major focus of this role will be on leveraging data science and machine learning (ML) to develop and implement innovative pricing solutions. You will play a pivotal role in optimizing pricing structures, improving profitability, and enhancing our competitive edge in the market. Key Responsibilities: Product Management: Define the vision, roadmap, and scope for pricing-related products and initiatives. Collaborate with data science, engineering, and business teams to build and enhance ML-driven pricing tools. Translate business requirements into technical specifications and ensure alignment across stakeholders. Drive end-to-end product lifecycle management, including ideation, development, deployment, and iteration. ML Models Data Science Integration: Work closely with data science teams to design, test, and deploy ML models for pricing optimization, demand forecasting, and cost analysis. Prioritize use cases for ML applications, such as: Dynamic pricing models based on real-time market and operational data. Predictive analytics for demand and supply trends. Segmentation models for customer-specific pricing strategies. Optimization algorithms for cost reduction and profit maximization. Ensure continuous monitoring and refinement of deployed models to maintain accuracy and performance. Pricing Optimization: Leverage ML models to dynamically adjust pricing in response to market fluctuations, operational constraints, and customer behavior. Conduct simulations and scenario analyses to test the effectiveness of pricing strategies. Identify and mitigate risks in pricing decisions through data-driven insights. Strategy Development: Develop and implement innovative pricing strategies that align with business goals and market conditions. Analyze competitive pricing structures and identify opportunities to differentiate SMILE s offerings. Define KPIs to measure the success of pricing initiatives and provide regular updates to stakeholders. Data-Driven Analytics: Build data pipelines and visualization tools to provide actionable insights into pricing performance. Collaborate with engineering teams to ensure scalable and reliable data infrastructure for pricing analytics. Qualifications: Education: Bachelor s or Master s degree in Business Administration, Data Science, Engineering, or a related field. Experience: 5+ years of experience in product management, pricing strategy, or analytics roles, preferably in logistics or supply chain. Strong background in data science, machine learning, and advanced analytics. Technical Skills: Proficiency in ML frameworks (e.g., TensorFlow, PyTorch) and data analysis tools (e.g., Python, R, SQL). Understanding of pricing algorithms, optimization techniques, and statistical modeling. Familiarity with big data technologies (e.g., Spark, Hadoop) and data visualization platforms (e.g., Tableau, Power BI). Business Acumen: Experience in developing pricing models and strategies in complex, multi-stakeholder environments. Strong analytical skills with a proven ability to interpret data and derive actionable insights. Key Competencies: Strategic thinking and the ability to prioritize high-impact projects. Strong collaboration skills to work effectively with technical and business teams. Exceptional problem-solving abilities with a focus on continuous improvement. Passion for leveraging advanced technologies to create business value. Why Join Us Be at the forefront of integrating ML and data science in logistics pricing strategies. Shape the pricing function in a rapidly growing 4PL logistics company. Collaborate with a high-performing team that values innovation and collaboration. Competitive compensation and benefits package.