Data Scientist - Consumer Anaytics, Forecasting - jobgether

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Scientist - Consumer Analytics, Forecasting based in India.

This role is designed for a data science professional who can transform complex business challenges into actionable insights through advanced analytics and machine learning. You will work on end-to-end data science initiatives, from understanding business needs and preparing data to building, validating, and deploying predictive models. The position focuses on consumer analytics and forecasting, helping organizations make smarter decisions and improve business performance. You will collaborate with business stakeholders, technical teams, and senior consultants to deliver measurable impact through data-driven solutions. This opportunity combines technical depth, business understanding, and innovation in a flexible remote environment. Join a global technology community where your expertise will contribute to impactful projects and continuous improvement

Accountabilities:

As a Data Scientist specializing in consumer analytics and forecasting, you will be responsible for delivering complete data science solutions that address real-world business challenges. You will combine analytical expertise, machine learning techniques, and business understanding to generate insights, optimize processes, and support strategic decision-making.

• Manage end-to-end data science initiatives, including business understanding, data preparation, modeling, evaluation, and deployment.
• Analyze complex datasets and interpret findings to identify meaningful business insights.
• Develop predictive models and forecasting solutions to support business planning and operational improvements.
• Translate analytical outcomes into clear recommendations, including expected business benefits and ROI measurement.
• Gather business requirements and convert them into technical plans, analytical approaches, and implementation strategies.
• Perform feature engineering, model evaluation, and optimization to improve model performance.
• Apply machine learning techniques such as decision trees, ensemble models, regression, and other classical ML approaches.
• Support pre-sales activities by contributing technical expertise and presenting data science solutions to stakeholders.
• Collaborate with cross-functional teams to understand customer challenges and develop creative analytical solutions.
• Contribute to best practices in data science methodologies, model validation, and deployment processes.

Requirements: