Urgent! Data Scientist - Forecasting & Scenario Analysis Job Opening In India, India – Now Hiring Resource Tree Global Services
<p>Job Title : Data Scientist - Forecasting & Scenario Analysis<br/><br/><b>Key Responsibilities :</b><br/><br/><b>Solution Design & Ideation :</b><br/><br/>- Design and conceptualize advanced forecasting and predictive analytics solutions to address complex business challenges.<br/><br/>- Identify opportunities to apply machine learning, time-series modeling, and simulation to improve decision-making in areas such as release planning, budgeting, and talent payout calculations.<br/><br/>- Translate business objectives into analytical frameworks, ensuring clarity on impact, feasibility, and approach.<br/><br/><b>Solution Execution & Delivery :</b><br/><br/>- Develop, train, and validate predictive and forecasting models using diverse datasets (financial data, release schedules, marketing spend, sentiment signals, and industry benchmarks).<br/><br/>- Build and maintain end-to-end ML pipelines, ensuring reproducibility, scalability, and accuracy.<br/><br/>- Collaborate with engineers, product managers, and architects to integrate models into media finance workflows and decision-support platforms.<br/><br/>- Apply explainability methods (e.g., SHAP, feature importance) to ensure outputs are transparent and trusted by stakeholders.<br/><br/><b>Client Engagement & Stakeholder Management :</b><br/><br/>- Partner with stakeholders across Finance, Distribution, Strategy, and Content to align data science solutions with business goals in entertainment domains.<br/><br/>- Present analytical findings, forecasts, and scenario outcomes in a clear, compelling manner to both technical and non-technical audiences.<br/><br/>- Act as a trusted advisor on predictive modelling and forecasting, contextualizing solutions for executives making film release, budgeting, or marketing decisions.<br/><br/><b>Analytics & Data Expertise :</b><br/><br/>- Apply advanced statistical, time-series, and machine learning techniques to generate accurate forecasts and actionable insights.<br/><br/>- Engineer features and integrates large-scale, multi-source datasets, including structured ERP/financial data and unstructured signals such as social sentiment, marketing activity, and competitor releases.<br/><br/>- Monitor, retrain, and refine models based on new data, feedback, and evolving market conditions.<br/><br/>- Ensure adherence to governance, compliance, and data quality standards.<br/><br/><b>Team Collaboration & Development :</b><br/><br/>- Work collaboratively within a cross-functional pod including designers, AI consultants, and data architects.<br/><br/>- Mentor junior data professionals and contribute to knowledge sharing and best practices.<br/><br/>- Support agile ways of working through sprint planning, backlog reviews, and governance checkpoints.<br/><br/><b>Technology Acumen :</b><br/><br/>- Strong proficiency in Python/R/SQL and ML libraries (Scikit-learn, Statsmodels, Prophet, XGBoost, PyTorch/TensorFlow).<br/><br/>- Familiarity with cloud ML environments (AWS SageMaker, Azure ML, Databricks, or GCP Vertex AI) for scalable deployments.<br/><br/>- Awareness of BI/visualization tools (Power BI, Tableau, Looker) to communicate insights effectively.<br/><br/>- Understanding of MLOps practices for reproducibility, monitoring, and continuous improvement.<br/><br/><b>Qualifications :</b><br/><br/>- Master's or higher degree in Data Science, Statistics, Applied Mathematics, Computer Science, or related field.<br/><br/>- 6-8 years of hands-on data science experience, with demonstrated expertise in forecasting, predictive modeling, or scenario analysis.<br/><br/>- Experience handling large, multi-source datasets, including both structured and unstructured data.<br/><br/>- Proven ability to translate data-driven insights into business value across industries, with exposure to media finance or entertainment analytics highly desirable.<br/><br/>- Strong communication skills to present analytical outputs in business-friendly narratives for executives, planners, and creative teams.<br/><br/>- Exposure to cloud-based ML environments (AWS, Azure, GCP, Databricks) is preferred.<br/><br/>- Comfortable working in cross-functional, agile teams with multiple stakeholders.<br/><br/>- Familiarity with BI/visualization tools (Tableau, Power BI, Looker) for communicating model outputs.<br/></p> (ref:hirist.tech)
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Unlock Your Data Scientist Potential: Insight & Career Growth Guide
Real-time Data Scientist Jobs Trends in India, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Data Scientist in India, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 140690 jobs in India and 9677 jobs in India. This comprehensive analysis highlights market share and opportunities for professionals in Data Scientist roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Resource Tree Global Services is currently hiring and seeking a Data Scientist Forecasting & Scenario Analysis to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Resource Tree Global Services adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Data Scientist Forecasting & Scenario Analysis Jobs India varies, but the pay scale is rated "Standard" in India. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Data Scientist Forecasting & Scenario Analysis typically include Mathematical Science Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Before the Interview:To prepare for your Data Scientist Forecasting & Scenario Analysis interview at Resource Tree Global Services, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Resource Tree Global Services's products or services and be prepared to discuss how you can contribute to their success.
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