Senior Manager- Data Science

Merck Sharp & Dohme (MSD)

8 - 13 years

10 - 15 Lacs

pune

Posted:1 day ago| Platform:

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Skills Required

algorithms demand forecasting pharmaceutical python modeling natural language processing sas aiml business acumen machine learning artificial intelligence r data science leadership data visualization advanced statistical communication skills ml

Work Mode

Work from Office

Job Type

Full Time

Job Description

Lead the development, implementation, and optimization of forecasting tools and processes.
Design, develop and optimize forecasting capabilities after evaluating forecasting tools, software, and technologies to enhance forecasting accuracy, efficiency, and effectiveness.
Design and implement best-in-class forecasting methodologies and models, leveraging statistical techniques, time-series analysis, and advanced algorithms, as per evolving industry best practices and emerging trends.
Leverage machine learning algorithms, automation, and data visualization to improve forecasting processes and outputs.
Responsible for managing the team delivering monthly forecast at SKU level for all forecastable SKU s (~5k+ SKU s) every month for about 70+ markets.
Collaborate across stakeholders our company, Supply Chain, Human Health, Finance, Country Demand Planners, Regional and Global Demand planners, and senior leadership to drive automation and centralization of forecasts, ensuring forecast accuracy improves over time.

Leads Storyboarding and presenting analytical findings and visualizations to technical, non-technical and executive leadership audiences effectively.
Manages delivery of forecasting capabilities and tools in a timely manner with allocated resources
Ensures that documentation is created and maintained in line with internal standards
Empowers a growth mindset and inspire a culture of continual learning that strives for greater quality, efficiency, and innovation, ultimately improving team productivity and work product

Qualifications and Skills

Engineering / Management / Pharma post-graduates with 8+ years of experience in the relevant roles; with at least 4 5 years of experience in pharmaceutical strategic or demand forecasting.
Demonstrated leadership and management in driving innovation and automation leveraging advanced statistical and analytics techniques (expertise in AI/ML will be added advantage).

Demonstrated understanding of the pharmaceutical industry, including regulatory requirements, clinical trial data, and various data types such as patient-reported outcomes.

Strong analytical skills, problem-solving abilities, to find and execute solutions to complex or ambiguous business problems; an aptitude for problem solving and strategic thinking.
Strategic thinker who can be consultative, collaborative and engage as equals.
Excellent communication skills, capable of presenting analytical findings and u sing effective storytelling grounded on insights

Proficiency in formulating business questions based on stakeholder insight requirements and experience in developing both machine learning and descriptive algorithms or modeling using such languages as Python, R, SAS, etc.
Proven data science experience leveraging advanced statistical methods, Machine Learning/Artificial Intelligence, Natural Language Processing (NLP) modeling, and model evaluation is a plus.
Experienced in working with diverse groups, in managing ambiguity.
Excellent business acumen, with the ability to understand business processes and commercial strategies in detail at both global and region/country levels and translate these into detailed business requirements/questions that power analytics.

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