6 Price Optimization Jobs

The ideal candidate for this position should possess a Bachelor's/Master's/PhD degree in Math, Computer Science, Information Systems, Machine Learning, Statistics, Econometrics, Applied Mathematics, Operations Research, or a related technical field. You should have a minimum of 7 years of relevant work experience in a similar role, particularly as a data scientist or Statistician, developing predictive analytics solutions for various business challenges. Your functional competencies should include advanced knowledge of statistical techniques, machine learning algorithms, data mining, and text mining. You must have a strong programming background and expertise in building models using languages such as SAS, Python, or R. Additionally, you should excel in storytelling and articulation, with the ability to translate analytical results into clear, concise, and persuasive insights for both technical and non-technical audiences. Experience in working with large datasets, both structured and unstructured, is crucial, along with the capability to comprehend business problems and devise optimal data strategies. Your responsibilities will encompass providing solutions for tasks like Customer Segmentation & Targeting, Propensity Modeling, Churn Modeling, Lifetime Value Estimation, Forecasting, Recommender Systems, Modeling Response to Incentives, Marketing Mix Optimization, and Price Optimization. It would be advantageous if you have experience working with big data platforms such as Hadoop, Hive, HBase, Spark, etc. The client you will be working with is a rapidly growing VC-backed on-demand startup that aims to revolutionize the food delivery industry. The team values talent, ambition, smartness, passion, versatility, focus, hyper-productivity, and creativity. The primary focus is on ensuring exceptional customer experience through superfast deliveries facilitated by a smartphone-equipped delivery fleet and custom-built routing algorithms. The company operates in eight cities across India and has secured substantial funding to support its expansion. If you meet the qualifications and are excited about the opportunity to contribute to this innovative venture, please share your updated profile at poc@mquestpro.com.,

Retail Data Pricing and Strategy Analytic required with excellent comms with Retail Domain Only people from Pricing and Strategy Analytics drop their resume over navjot.kumar@wipro.com Immediate Joiners with Excellent English Comms Preferably within the retail merchandising industry Essential Hiring Skills Strong analytical and quantitative skills. Proficiency in data analysis tools and software (e.g., Excel, SQL, Tableau). Excellent communication and interpersonal skills. Good to have Hiring Skills Ability to work collaboratively in a team environment. Strong attention to detail and commitment to accuracy. Ability to manage multiple projects and meet deadlines. Responsibilities Pricing Analysis: Conduct detailed analysis of pricing plans to ensure competitiveness and profitability. Promotional Planning: review and contribute promotional plans to drive sales Inventory Optimization: Work closely with the inventory planning team to align pricing and promotional plans Data Management: Collect, analyze, and interpret sales data Collaboration: Work closely with marketing, sales, and merchandising teams to align pricing and promotional overall business objectives. Reporting: Prepare regular reports on pricing and promotional performance. Process Improvement: Continuously evaluate and improve.

Role & responsibilities : Commercial Hygiene Ensure commercial hygiene in a commercial operation like: Credit management (setting credit limits to manage working capital and smoother operations) Timely settlement of rebates/discounts for positive engagement with channel Organizing incentive trips for retailers to create a long-term relationship Pricing Management Define and implement pricing decision in accordance with PnL Defining Pricing escalation with timelines Collect market intelligence on current pricing and opportunity Leading pricing tracker to ascertain realization of business decisions Cost Management - Discounts, Rebates and promotions design Designing of promotions for retailer engagement Managing pricing to help in distribution expansion (width & depth) Maintaining pricing hygiene to avoid any MOP issue Pay for performance Promotion trackers for wider participations Standardizing processes by building capability and transparency Aligning organizations to drive G to N automation Make structured interventions to ensure controls are in place and in use Proactively review, disclose, and act on gaps (if any) Ensure rock controls are firmly embedded in process Identify and provide training / opportunities, and develop capabilities of the commercial team in the regions. Incentives & customer promotion settlements Oversee customer settlements Preparation, verification and timely generation Align incentive trip design to be loyalty drivers instead of heating up channel inventories design to address segmentation guidelines Managing compliance and Audit Scheme design as per compliance approvals Audit of all spends thru company appointed auditors Internal Audits CSS Machine Deployment & Management Design of POST package Capex Management of POST Annual Maintenance of POST Audit of POST Preferred candidate profile : University degree Tier 1/2 preferably in Commerce, Business Administration or similar with 10 - 12 years of experience in Paints, FMCG, Building material, Beverages Lubes etc. Experience in working with large customers in construction industry and managing medium size business team is preferable Should have the ability to convert Research data and Commercial data into insights and commercial business ideas

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.