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In this role, you will lead the innovation and support of our dynamic pricing program, directly impacting growth, profitability, and overall efficiency.
The Data Scientist contributes to build innovative scenarios to understand and anticipate future business or operational value creation levers for the company.
Work with cross-functional & cross-regional teams for data analysis, monitoring and forecasting, creating the logic for and implementing strategies, providing requirements to data scientists and technology teams on attribute, model and platform requirements, and communicating with global stakeholders to ensure we deliver the best possible customer experience.
Total Exp- 6+yearsKey Responsibilities:
Required Skills & Qualifications:
Good to Have:
Seeking a highly skilled and motivated Data Engineer The ideal candidate will have strong expertise in Python, Apache Spark, Apache Flink, BigQuery, Google Cloud Dataproc/ Databricks, and Confluent Kafka. Will be responsible for designing, developing, and optimizing large-scale data processing systems, enabling real-time and batch data workflows to support business intelligence and advanced analytics.
Data Scientist support team and Global operations. The ideal candidate will be responsible for developing and maintaining dashboards, analysing data patterns, and forecasting business trends to drive data-based decision-making.
The Trade Marketing Manager is responsible for creating and executing the overall strategy and roadmap across three sales channels (pharmacy, clinics and hospitals) for the company.
As a Data Analyst within our Data & Analytics Team, you will be a crucial partner to the business. Collaborating closely with our business teams across divisions, you will leverage data to drive strategic decision-making and optimize operational efficiency.
We are seeking a dedicated Analyst to join a growing real estate company based out of Bengaluru. This role will require you to work closely with the VP - Operations & Facilities in driving the business and investment decisions based on insights derived from analysing and interpreting financial statements and data.
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