This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Scientist, Global Data Science in India.
This is a high-impact analytics role focused on delivering advanced machine learning and data science solutions that directly influence revenue growth, pricing strategy, and marketing effectiveness at a global scale. You will work on complex business problems where data-driven insights translate into measurable financial outcomes across multiple markets. The role combines hands-on model development with strategic thinking and strong business engagement. You will design scalable predictive and optimization solutions spanning revenue growth management, promotion analytics, and marketing mix modeling. Working in a cross-functional, global environment, you will partner closely with business stakeholders to shape decisions that drive enterprise value. This position offers the opportunity to work with large-scale datasets, modern cloud platforms, and advanced analytics frameworks in a fast-evolving data science ecosystem.
Accountabilities
- Develop and deploy predictive models, simulations, and optimization frameworks to solve complex business problems and support revenue-impacting decisions.
- Apply machine learning and statistical techniques to build scalable inferential and predictive solutions across pricing, promotions, and marketing analytics domains.
- Own end-to-end analytics delivery including data extraction, preprocessing, feature engineering, modeling, validation, and stakeholder-ready presentations.
- Conduct model evaluation, performance monitoring, and continuous improvement to ensure accuracy, scalability, and business relevance of deployed solutions.
- Work with large-scale datasets using SQL and distributed data systems to identify trends, patterns, and actionable insights.
- Design and deliver data visualizations and dashboards to communicate findings effectively to business stakeholders across regions.
- Collaborate closely with global business teams to define problem statements, scope analytical solutions, and ensure business alignment of outcomes.
Requirements
- Bachelor's or Master's degree in Computer Science, Information Technology, Economics, Statistics, Data Science, or related field; additional certifications in analytics or data science preferred.
- 5+ years of experience in building statistical and machine learning models with demonstrated business impact.
- Strong hands-on expertise in Python and SQL for data manipulation, modeling, and analytics.
- Solid understanding of machine learning and statistical techniques including regression, classification, clustering, and ensemble methods.
- Experience working with model deployment tools and frameworks such as Airflow, Docker, and cloud platforms (preferably Google Cloud).
- Familiarity with data visualization tools and frameworks such as Looker, Plotly, Flask, Streamlit, or similar technologies.
- Experience working in client-facing or business-partner-facing roles within cross-functional and global environments.
- Strong analytical thinking, communication skills, and ability to translate complex data insights into business recommendations.
- Exposure to pricing, promotion analytics, or marketing mix modeling is highly desirable.
- Knowledge of cloud-native architectures, big data tools, and version control systems such as GitHub is a plus.
Benefits
- Competitive compensation aligned with experience and market standards
- Relocation support within the country (where applicable)
- Flexible work arrangements, including remote-friendly options ()
- Comprehensive health, wellness, and insurance coverage
- Opportunity to work on high-impact global data science initiatives
- Exposure to advanced analytics, AI/ML, and cloud-based technologies
- Collaborative, inclusive, and innovation-driven work environment
- Career growth opportunities within a global, data-driven organization
How Jobgether Works
We use an
AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
