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Full-time
Posted 35d ago
~40 hrs/week
Responsibilities
Design, develop, and deploy scalable forecasting models to drive business decisions in demand planning and supply chain operations. Collaborate with stakeholders to translate complex business problems into actionable analytical solutions and operationalize models in cloud environments.
Requirements
Requires over 10 years of experience in applied data science and 5+ years specifically in demand or sales forecasting within CPG or retail industries. Proficiency in Python, SQL, and cloud deployment (preferably Azure) is essential.
Full job description
Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.
We are seeking a Senior Data Scientist – Forecasting to join our advanced analytics team supporting leading Retail, CPG, and Supply Chain clients. In this role, you will design, develop, and deploy forecasting solutions that drive critical business decisions across demand planning, inventory optimization, replenishment, logistics, sales forecasting, and supply chain operations.
You will work closely with business stakeholders, data engineers, supply chain planners, and analytics leaders to build scalable forecasting models that deliver measurable business impact. The ideal candidate combines strong statistical forecasting expertise with hands-on machine learning experience and the ability to translate complex analytical findings into actionable business recommendations.
Key Responsibilities
Design, develop, and deploy time-series forecasting models including ARIMA, SARIMA, and ETS
Build machine-learning-based forecasting models using GBM, Random Forest, XGBoost, and LightGBM
Develop hierarchical and multi-level forecasting solutions across products, regions, and channels
Perform large-scale data extraction, transformation, and analysis using SQL
Partner with supply chain, merchandising, planning, and business teams to understand forecasting requirements.
Translate business problems into analytical solutions.
Present model insights and recommendations to senior client stakeholders.
Lead workshops and forecasting strategy discussions with clients.
Implement and operationalize models in cloud environments
Collaborate with business stakeholders to translate demand planning requirements into scalable analytics solutions
10+ years of experience in applied data science or advanced analytics
5+ years of hands-on experience in demand planning, demand forecasting, or sales forecasting
Strong domain experience in CPG, FMCG, retail, or similar industries
Advanced proficiency in Python (pandas, NumPy, scikit-learn, statsmodels)
Strong SQL skills for large-scale data processing
Proven experience deploying models in cloud environments (Azure preferred)
This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.
Related keywords
Data ScienceMachine LearningAIForecastingDemand PlanningInventory OptimizationReplenishmentLogisticsSales ForecastingSupply ChainARIMASARIMAETSGBMRandom ForestXGBoost
We are a global leader in AI and Analytics. We provide certainty to shape a better tomorrow.
Industry
Business Consulting and Services
Company size
5,001-10,000 employees
Founded
2011
Headquarters
Santa Clara, CA
LinkedIn followers
649,966
In a world rife with complexity, we help our customers cut through uncertainty, plan strategically, and execute confidently. We work with them to strategize and operationalize Data and AI-led transformation programs that deliver real value at scale.
Our deep understanding of business value chains, agile operating models, platforms approach, and strategic hyperscaler partnerships allow us to engineer cutting-edge Data & AI solutions. We go beyond standard playbooks and best practices, and forge new ones.
If you’re keen to reimagine what AI can do for some of the toughest problems out there, come join our team of 5000+ brilliant technologists and consultants. Explore opportunities across our offices in the US, India, Canada, Mexico, UK, Spain, Singapore and Australia.
Offices: 2350 Mission College Blvd, Ste# 495, Santa Clara, CA 95054, US · 111 Town Square Pl, Jersey City, New Jersey 07310, US · 36 Robinson Rd, Singapore, Singapore 068877, SG · 55 E Monroe, Suite 3800, Chicago, Illinois 60603, US · 5151 Headquarters Dr, Plano, Texas 75024, US
Machine LearningPredictive AnalyticsForecastingNatural Language ProcessingComputer VisionCloud Data Platform EngineeringData-as-a-serviceLean Data GovernanceModern BI & Data WarehousingAI/ML Ops
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