4 Price Optimization Jobs

Area Sales Manager (ASM) Automotive Lubricants Locations: Multiple Regions, India | Experience: 8-10 Years Key Responsibilities: Manage a team of Sales Executives to exceed regional sales goals. Design and execute territory-specific sales strategies. Strengthen partnerships with key distributors and institutional clients. Analyse sales data to optimize pricing, inventory, and promotions. Collaborate with Marketing to launch campaigns and track ROI. Qualifications: MBA in Sales/Marketing or related field. 8-10 years in sales leadership within automotive lubricants/aftermarket. Proven success in managing teams and achieving >15% YOY growth. Deep understanding of Indias automotive distribution networks. Strong analytical skills and fluency in ERP systems. Perks: Leadership bonuses and stock options. Mentorship from global industry experts. Flexible work policies and travel allowances.

Hiring E-commerce Manager Exp - 5- 9 years Male Candidate Only Skills - Campaign & Promotion:,Product Listing,Sales & Revenue Growth,Performance Monitoring:Compliance,New Product Launches

Role & responsibilities As Senior Data Scientist, you will be responsible for a wide range of engagements listed below: Formulates complex problems into hypotheses and proofs of concept for testing. Socializes this with the rest of the team and guides them to deliver on it. Applies business acumen in analyses to extract meaningful and actionable information. Communicates complex ideas and insights effectively to stakeholders with various levels of technical experience. Leverages various analytical techniques, appropriate to solving the business problem at hand. Performs research for solutions and solves problems efficiently to overcome data analytics challenges. Engages in the collection, integration, analysis, and presentation of data for various business contexts Understands good software development practices (versioning, peer reviews, refactoring, and pair programming), adapts them to the needs of the team and sets an example for others by following them. Creates and maintains technical documentation of the scientific experimentations performed, preferably in the CRISP-DM framework or like. Keeps up with the latest trends, technologies, and best practices in the field of Data Science and Engineering. Shares this knowledge with the rest of the data science team. Does peer reviews of codes and approaches of fellow members of the data science team. Provides mentorship to junior data scientists in the team. Looks for improvements in data science delivery processes, actively seeks buy-in on the improvements from peers and managers, implements them in the team and monitors their adoption. 4 to 6 years experience is mandatory Preferred candidate profile Advanced knowledge in one or more areas besides Machine Learning Operations Research, Natural Language Processing, Deep learning and its applications, Time Series forecasting at scale. Reinforcement Learning, Graph Machine Learning, Explainable Machine learning. Advanced understanding of Cloud technologies and experience of deploying applications on cloud.

Job Title: Senior Data Scientist - Price Optimization & Forecasting Location: Kolkata or Delhi, India (Hybrid Model) Job Overview As a Senior Data Scientist Price Optimization & Forecasting , you will play a critical role in developing and deploying advanced machine learning models for price optimization and demand forecasting . In addition to your technical expertise, you will serve as a key client-facing professional, leading projects and delivering actionable insights to address complex business problems. You will collaborate with cross-functional teams, translating business requirements into data-driven solutions while ensuring alignment with client objectives. Additionally, you will mentor and guide junior data scientists , fostering a culture of collaboration, innovation, and continuous learning. Role and Responsibilities Model Development : Design, implement, and scale machine learning solutions for price elasticity, price and promotion optimization, and demand forecasting , focusing on key elements of the FMCG and Retail industries . Hands-On Data Science : Implement machine learning models and write modular, scalable code using libraries such as PuLP, CVXPY, Temporal Fusion, XGBoost, and time-series libraries . Work with cloud-based notebooks (e.g., Databricks ) for data analysis, model development, and deployment . Collaborative Problem-Solving : Partner with cross-functional teams to identify business challenges , define data-driven solutions, and implement pricing models and forecasting tools . Client Management : Act as the primary data science lead in client interactions, managing expectations and providing technical expertise. Present data-driven insights and recommendations to clients, ensuring successful project delivery and client satisfaction. Innovation : Continuously explore opportunities to improve existing pricing and forecasting solutions , driving innovation to enhance business performance in the FMCG/Retail sector . Mentorship : Provide guidance and mentorship to junior data scientists and researchers , fostering a collaborative and innovative team environment. Skills and Experience Essential: Masters or Ph.D. in Computer Science, Data Science, Statistics, Operations Research , or a related field. 6-8 years of experience in data science , with a focus on price optimization, demand forecasting, and predictive modeling , preferably in the FMCG or Retail industry. Strong problem-solving skills with the ability to apply quantitative techniques to real-world business challenges in FMCG/Retail . Proven ability to manage client relationships , communicate technical solutions effectively, and deliver impactful results. Excellent communication skills , with the ability to collaborate across teams and convey technical results to non-technical stakeholders. Passion for staying up to date with the latest advancements in AI, ML, and pricing analytics . Ideal: Experience with cloud platforms (e.g., AWS, GCP, Azure ) for model deployment and data processing . Familiarity with Machine Learning Operations (MLOps) and deployment pipelines for scalable forecasting and pricing solutions . Published work in top-tier conferences or journals related to price optimization, forecasting, or retail analytics .