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Data Scientist

Min Experience

3 years

Location

Bengaluru, Karnataka

JobType

full-time

About the job

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About the role

At Takeda, we are leading digital evolution and global transformation. By building innovative solutions and future-ready capabilities, we are meeting the need of patients, our people, and the planet. Bengaluru, the city, which is India's epicenter of Innovation, has been selected to be home to Takeda's recently launched Innovation Capability Center. We invite you to join our digital transformation journey. In this role, you will have the opportunity to boost your skills and become the heart of an innovative engine that is contributing to global impact and improvement. At Takeda's ICC we Unite in Diversity Takeda is committed to creating an inclusive and collaborative workplace, where individuals are recognized for their backgrounds and abilities they bring to our company. We are continuously improving our collaborators journey in Takeda, and we welcome applications from all qualified candidates. Here, you will feel welcomed, respected, and valued as an important contributor to our diverse team. The Opportunity As a Data Scientist, you will have the opportunity to apply your analytical skills and expertise to extract meaningful insights from vast amounts of data. We are currently seeking a talented and experienced individual to join our team and contribute to our data-driven decision-making process. Objectives Collaborate with different business users, mainly Supply Chain/Manufacturing to understand the current state and identify opportunities to transform the business into a data-driven organization. Translate processes, and requirements into analytics solutions and metrics with effective data strategy, data quality, and data accessibility for decision making. Operationalize decision support solutions and drive use adoption as well as gathering feedback and metrics on Voice of Customer in order to improve analytics services. Understand the analytics drivers and data to be modeled as well as apply the appropriate quantitative techniques to provide business with actionable insights and ensure analytics model and data are access to the end users to evaluate "what-if" scenarios and decision making. Evaluate the data, analytical models, and experiments periodically to validate hypothesis ensuring it continues to provide business value as requirements and objectives evolve. Accountabilities Collaborates with business partners in identifying analytical opportunities and developing BI-related goals and projects that will create strategically relevant insights. Work with internal and external partners to develop analytics vision and programs to advance BI solutions and practices. Understands data and sources of data. Strategizes with IT development team and develops a process to collect, ingest, and deliver data along with proper data models for analytical needs. Interacts with business users to define pain points, problem statement, scope, and analytics business case. Develops solutions with recommended data model and business intelligence technologies including data warehouse, data marts, OLAP modeling, dashboards/reporting, and data queries. Works with DevOps and database teams to ensure proper design of system databases and appropriate integration with other enterprise applications. Collaborates with Enterprise Data and Analytics Team to design data model and visualization solutions that synthesize complex data for data mining and discovery. Assists in defining requirements and facilitates workshops and prototyping sessions. Develops and applies technologies such as machine-learning, deep-learning algorithm to enable advanced analytics product functionality.

About the company

At Takeda, we are guided by our purpose of creating better health for people and a brighter future for the world. Every corporate function plays a role in making sure we — as a Takeda team — can discover and deliver life-transforming treatments, guided by our commitment to patients, our people and the planet. People join Takeda because they share in our purpose. And they stay because we're committed to an inclusive, safe and empowering work environment that offers exceptional experiences and opportunities for everyone to pursue their own ambitions.

Skills

sql
python
r
machine learning
deep learning
data mining
data visualization
data modeling
data pipeline
data quality
data strategy
business intelligence
data analytics
predictive modeling
prescriptive modeling