Lead Data Science Solution Architect

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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.

Job Description

About the role:

As a Lead Data Science Solution Architect, you will play a pivotal role in bridging the gap between data science, architecture, and overall solutioning. This individual will collaborate closely with business users and/or data scientists to design and implement robust analytical solutions, ensuring that models are effectively integrated into production environments. Responsibilities include evaluating and optimizing existing data architectures, facilitating the selection of appropriate tools and technologies, and guiding the development of scalable data pipelines. The architect will also work on aligning technical solutions with organizational strategies, supporting data scientists in model evaluation, and driving innovation in analytical approaches. This role requires a deep understanding of both data science principles/analytics, and software architecture, fostering a cohesive environment for data-driven decision-making.

How you will contribute:

• Develop innovative solutions to solve complex problems using data analysis, machine learning, and predictive analytics
• Coordinate with business users and/or Data Scientists to understand data requirements and design, build, and maintain data pipelines to efficiently preprocess, clean, and transform data from various sources for use in model workflows – ensuring that data is properly tested, versioned, and accessible in production environments
• Develop data science solutions and applications utilizing technologies including AI/ML, GenAI, NLP, chatbot, etc..
• Collaborate closely with data scientists to productionize models by translating their research into scalable, maintainable code ensuring reliability and performance – conduct code reviews and ensure that code follows best practices for testing.
• Provide and optimize infrastructure (e.g., cloud services, storage solutions) for machine learning projects – maintain model platforms, tools, and libraries that streamline the data scientists’ workflows, including monitoring and troubleshooting tools for models in production.
• Guide, mentor, and coach experienced Data Science Solution Architects on solution architecture design, standards, and practices, promoting the values of learning and growth
• Foster a culture of sharing, re-use, design for scalability, and operational efficiency of data and analytical solutions.

Minimum Requirements/Qualifications:

• Masters’s degree in Data Science, Computer Science, Physics, Math, or other quantitative fields
• 10+ years of relevant experience in software development, data science, data engineering, ETL, and analytics reporting development with a proven track record of designing and implementing complex data solutions
• Demonstrated experience in managing and mentoring technical teams across varying levels of expertise
• Proven experience in presenting complex technical results and business insights to senior leadership, ensuring clear communication of strategic implications
• Solid understanding of databases and programming languages and experience designing, building, implementing, and maintaining data and system integrations using dimensional data modelling and development and optimization of ETL pipelines
• Demonstrated understanding and experience using:
  • Data Engineering Programming Languages (i.e., Python)
  • Distributed Data Technologies (e.g., Pyspark)
  • Cloud platform deployment and tools (e.g., Kubernetes)
  • Relational SQL databases
  • DevOps and continuous integration
  • AWS cloud services and technologies (i.e., Lambda, S3, DMS, Step Functions, Event Bridge, Cloud Watch, RDS)
  • Databricks/ETL
  • GitHub
  • Event Bridge, Tidal
• Utilizes the principles of continuous integration and delivery to automate the deployment of code changes to elevate environments, fostering enhanced code quality, test coverage, and automation of resilient test cases
• Excellent written and verbal communication skills, including storytelling and interacting effectively with multifunctional teams and other strategic partners
• Strong problem solving and troubleshooting skills

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 Bangalore 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

• Employee Assistance Program

• 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 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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