Data Scientist

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Job Description

The Future Begins Here

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 Commercial Business Unit 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.

Key Responsibilities:

• Collect, clean, and preprocess large datasets from various sources (internal and external).
• Develop and implement machine learning algorithms, predictive models, and statistical analyses to identify trends, patterns, and insights.
• Design and conduct experiments, A/B tests, and data validation to improve business processes and optimize outcomes.
• Communicate data-driven insights and actionable recommendations to non-technical stakeholders through reports, dashboards, and presentations.
• Collaborate with product managers, engineers, and other teams to implement data science models into production.
• Stay up to date with the latest advancements in data science, machine learning, and AI to ensure the company remains competitive.
• Continuously improve model performance by analyzing and refining model architectures and processes.
• Contribute to the development of best practices for data science and foster a culture of data-driven decision-making.

EDUCATION, BEHAVIOURAL COMPETENCIES AND SKILLS:

• Bachelors’ Degree, from an accredited institution in Data Science, Statistics, Computer Science, or related field.
• 3+ years of experience with statistical modelling such as clustering, segmentation, multivariate, regression, etc. and analytics tools such as R, Python, Databricks, etc. required
• Experience in developing and applying predictive and prescriptive modelling, deep-learning, or other machine learning techniques a plus.
• Hands-on development of AI solutions that comply with industry standards and government regulations.
• Great numerical and analytical skills, as well as basic knowledge of Python Analytics packages (Pandas, scikit-learn, statsmodels).
• Experience with machine learning frameworks and libraries (e.g., TensorFlow, Keras, PyTorch, Scikit-learn).
•   Solid understanding of data preprocessing, feature engineering, and model evaluation techniques.
•     Experience deploying machine learning models in production environments, using cloud platforms (e.g., AWS, GCP, Azure, Databricks).
•   Familiarity with containerization tools (e.g., Docker, Kubernetes) for deploying models.
•   Experience with model monitoring and performance tracking in production environments.
• Experience in Natural Language Processing (NLP).
• Ability to build and maintain scalable and reliable data pipelines that collect, transform, manipulate, and load data from internal and external sources.
• Ability to use statistical tools to conduct data analysis and identify data quality issues throughout the data pipeline.
• Experience with BI and Visualization tools (f. e. Qlik, Power BI), ETL, NoSQL and proven design skills a plus.
• Excellent written and verbal communication skills including the ability to interact effectively with multifunctional teams.
• Experience with working with agile teams.
• Experience in commercial, marketing, customer segmentation, and customer experience insights preferred.

WHAT TAKEDA CAN OFFER YOU:

• Takeda is certified as a Top Employer, not only in India, but also globally. No investment we make pays greater dividends than taking good care of our people.
• At Takeda, you take the lead on building and shaping your own career.
• Joining the ICC in Bengaluru will give you access to high-end technology, continuous training and a diverse and inclusive network of colleagues who will support your career growth.

BENEFITS:

It is our priority to provide competitive compensation and a benefit package that bridges your personal life with your professional career. Amongst our benefits are:

• Competitive Salary + Performance Annual Bonus
• Flexible work environment, including hybrid working
• Comprehensive Healthcare Insurance Plans for self, spouse, and children
• Group Term Life Insurance and Group Accident Insurance programs
• Health & Wellness programs including annual health screening, weekly health sessions for employees.
• Employee Assistance Program
• 3 days of leave every year for Voluntary Service in additional to Humanitarian Leaves
• Broad Variety of learning platforms 
• Diversity, Equity, and Inclusion Programs
• Reimbursements – Home Internet & Mobile Phone
• Employee Referral Program
• Leaves – Paternity Leave (4 Weeks) , Maternity Leave (up to 26 weeks), Bereavement Leave (5 calendar days)

ABOUT ICC IN TAKEDA:

• Takeda is leading a digital revolution. We’re not just transforming our company; we’re improving the lives of millions of patients who rely on our medicines every day.
• As an organization, we are committed to our cloud-driven business transformation and believe the ICCs are the catalysts of change for our global organization.

#Li-Hybrid

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