4 Forecasting Model Jobs

Data Science Lead will lead a team of Data Scientists / Senior Data Scientists and help us discover the information hidden in vast amounts of data, make smarter decisions to deliver even better products. The primary focus will be in leading the application of data mining techniques, doing statistical analysis, and building high-quality prediction systems integrated with our products. What this role entail Understanding business objectives and formulate the problem as a Data Science problem (Expert level proficiency in Forecasting) Develop and maintain robust data processing pipelines and reproducible modelling pipelines. Explore data and communicate insights clearly Manage a team of data scientists and senior data scientists Analyse experimental results, iterate and refine models to create significant business impact Build analytic systems and predictive models Test performance of data-driven products Experiment with new models and techniques What lands you in this role At least 4-6 years of experience in Data Analytics Model development and deployment Strong forecasting experience Must have exposure to developing predictive analytics and machine learning algorithms for business applications Good knowledge of data management and visualization techniques Hands-on experience of working across SQL, R, Python, Hadoop Experience of managing teams of at least 2-3 members Strong organizational and leadership skills Understanding and exposure to business applications and integration of analytics with businesses. B Tech/BE degree in Computer Science, Data Science, Mathematics or similar field What we offer An opportunity to be part of some of the best enterprise SaaS products to be built out of India. Opportunities to quench your thirst for problem-solving, experimenting, learning, and implementing innovative solutions. A flat, collegial work environment, with a work hard, play hard attitude. A platform for rapid growth if you are willing to try new things without fear of failure. Remuneration with best-in-class industry standards with generous health insurance cover

We are looking for a Senior Data Scientist who is passionate about solving complex business problems using data. The ideal candidate will have strong hands-on experience in Python , SQL , and advanced machine learning algorithms , along with domain expertise in forecasting , pricing optimization , or inventory planning . You will work closely with cross-functional teams including product, engineering, and business stakeholders to drive data-driven strategies. Key Responsibilities: Design, build, and deploy predictive and optimization models for use cases such as demand forecasting , dynamic pricing , or inventory optimization . Translate business problems into analytical frameworks and provide actionable insights. Build and maintain scalable data pipelines and model workflows using Python and SQL. Collaborate with data engineers to ensure model integration into production systems. Present findings and recommendations to leadership using data visualizations and storytelling. Stay current with the latest techniques in machine learning , statistics , and operations research . Lead and mentor junior data scientists and analysts when required. Required Skills and Experience: 5+ years of experience in a Data Science or Analytics role with a strong business impact. Strong programming skills in Python (pandas, scikit-learn, statsmodels, etc.). Proficiency in SQL for data extraction, transformation, and manipulation. Deep understanding of machine learning algorithms (regression, classification, clustering, time series forecasting). Experience with one or more of the following domains: Demand Forecasting Price Optimization Inventory Optimization / Supply Chain Analytics Strong problem-solving and quantitative skills. Experience working with large datasets and distributed computing tools (e.g., Spark, Hadoop) is a plus. Familiarity with data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn). Preferred Qualifications: Masters or PhD in Computer Science, Statistics, Mathematics, Economics, Operations Research, or a related field. Experience in retail, e-commerce, manufacturing, or logistics is a strong plus. Exposure to optimization libraries (e.g., PuLP, OR-Tools, Gurobi) is a bonus. Experience deploying models using MLOps tools or platforms is a plus.

JOB SUMMARY As a part of the CBRE research team, the role will largely be centered around having an understanding of the Indian economy and the macro-economic factors that impact the growth of the economy and the real estate sector. While qualitative inputs will be critical for authoring thought-leadership pieces, quantifiable inputs will be key to communicate data- backed results to internal and external stakeholders. Versatility, quick thinking, quality output and adherence to delivery timelines will be crucial for the role. ESSENTIAL DUTIES AND RESPONSIBILITIES The candidate must be a masters in economics with a demonstrated ability to drive forecasting models that build in macro-economic covenants Relevant experience of at least 5 years Understanding of the interlinkages that the RE sector has with factors such as the economy, and how these factors can impact supply and demand in the next 2-3 years. Policy/economy trends that impact/can impact the real estate sector. Demonstrated ability to lead and author thought-leadership papers (conference papers, thematic papers, viewpoints, surveys, articles, newsletters etc.) from conception to end. QUALIFICATIONS To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. Master’s in economics is a must SKILLS AND ABILITIES Excellent verbal and written communication skills Quick turnaround and ability to work independently and/or in large/small teams Strong presence and ability to interact with top executives Successful teamwork experience & demonstrated leadership abilities Excellent analytical and problem-solving skills SUPERVISORY RESPONSIBILITIES None

Note : This will be an off-roll contractual role Job Description: Analyze data or insights to determine industry and consumer trends Devise long-term development strategies for leading the supply function Build strong partnerships with key suppliers/brands, leading joint business planning and negotiation to drive growth. Identify gaps and continuously enhance the category assortment by onboarding new brands, SKUs, or exclusives. Continuously enhance the category assortment by identifying gaps and onboarding new brands, SKUs, or exclusives. Work with marketing teams to create category visibility through campaigns, platform placements, and performance marketing. Liaise with supply chain, warehousing, and finance teams to ensure smooth execution of plans and availability. Handle the catalogue for his respective category and work with various internal as well as external teams, ensuring quick closure of NPIs, Catalog issues, corrections Have a close look at other competitors channels (app/website, etc.) and see to it that Mall is at par with respect to information provided, Pricing, and Availability NPI closures of new brands as per SOPs and TaT. Brand onboarding on new platforms with the right margin, return policies, and dispute policies Leverage data to monitor category performance, identify issues, test hypotheses, and take corrective actions. Daily assigned activities/Follow-ups Solid knowledge of category management, marketing, and sales principles Desired Qualification 4–8 years of experience in category management, merchandising, consulting, or business strategy (preferably in e-commerce, FMCG, or retail). Proven track record of managing complex projects and delivering business impact. Strong negotiation and vendor management skills. Highly analytical with comfort in using tools like Excel, SQL, Tableau, or similar. Strong interpersonal and communication skills – ability to work across teams. MBA or equivalent preferred. Solid knowledge of category management, marketing, and sales principles Understanding of data analysis and forecasting methods An analytical mind with a strategic ability Be extremely thorough with an eye for detail - a must-have Be persistent in coordinating with stakeholders to drive outcomes - a must-have Eager to both learn and grow Can act independently