Job Description

Job Title:

Manager, Data Science Lead

Job Grade:

Department:

IT

FLSA Classification:

Manager\'s Job Title:

Director, Commercial IT

Department Head Title:

CIO

Does This Position Have Any Direct Reports?

No

Approval Date:

Job Summary

Data Science Lead, Commercial IT will serve as the technical SME and IT owner for Data Science related IT projects for US Brand and Commercial business. This role will be part of the offshore team and support US based IT team that manages Sales, Marketing, Training and Operations technology stack.

This role will help us discover the information hidden in vast amounts of data, and help us make smarter decisions for Commercial operation team. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems. This technology focus role primarily requires building prediction models out from patient, prescriber and payer data.

This role will report directly to the Director, Commercial IT and help deliver overall requirements of Commercial Analytics ecosystem that includes Business Intelligence, Master Data Management and Data-Warehouse platform.

This is a full-time job, located in Mumbai, India.

Area Of Responsibility

• Ability to frame data driven analysis, machine learning/ deep learning methods to augment the business decision making process and apply analytical concepts with minimal guidance
• Work closely with business team to implement the analytics/ML based methods to be aligned with the business requirements, ability for critical thinking, and having a systematic and logical approach to problem-solving
• Actively contribute for all elements of analytics method development - concept notes & analytics design, concept user testing (UAT), presentation and solution rollout
• Continuously innovate and evolve existing offering to improve performance and quality of deliverables
• Ensure seamless integration of emerging ML/DL based methods with available data base structures and intuitive presentation/reporting capabilities
• Actively encourage using automated tools to extract data from primary and secondary sources and perform technical writing and documentation of the modules/codes developed
• Ensure seamless integration of emerging analytics methods with available data base structures and intuitive presentation/reporting capabilities
• Actively take up analysis of therapy area & geographical trends that impact both the organization and the industry based on manual or automated approach
• Contribute to various automation efforts to drive efficiency gains within the Commercial Operation team

Work Conditions:

Physical Requirements:

Travel Estimate

Up to 5%

Education and Job Qualification

Bachelor\'s Degree in Technical or Quantitative field is required.

• Strong analytical acumen to help collect, measure, organize and analyze data and connect with business needs
• Basic skills in statistics and statistical packages in MS Excel, Python/R to be used for exploratory analysis and apply the accurate algorithms to datasets to find solutions
• Exposure in various analytical tools and programming languages (Python, R, SQL) and/or business intelligence platforms (Tableau /MS PowerBI) is desired
• Working knowledge of academic supervised/unsupervised machine learning/deep learning projects (clustering, regression, classification, time series analysis), cloud-based deployment (AWS Sagemaker, Azure ML), end-to-end pharmaceutical forecasting/analytics projects is desired
• Hands on experience with at least one database (SQL/NoSQL) and cloud technology (e.g., AWS, GCP, Azure) will be a plus
• Experience in Data Warehousing, Big Data or Cloud technology areas
• Understanding of concepts related to MDM, CRM and Reporting for Commercial (Sales & Marketing) processes is desired
• Ability to work with partial overlapping hours with the US team is required for this position
• Strong collaboration skills and ability to deliver projects in a team setting is expected from this role

Experience

• At least 1-3 years\' experience working with Life Sciences companies in forecasting, advance analytics, business analytics, marketing analytics and/or data analytics function within Commercial or Finance. Additionally;

• Expertise in coding languages such as R/Python and advanced Excel is essential
• Exposure to simulations, process automation, reporting capabilities, and pharmaceutical forecasting experience will be added advantage.
• Experience working in projects with MDM, CRM and Reporting components are desired

Sun Pharmaceutical Industries