
Manager, Digital Supply Chain Visualization Engineer
- Hyderabad, Telangana
- Permanent
- Full-time
- Drive product design and ensure consistent execution of product lifecycle processes from concept to launch, ensuring user-centric solutions
- Effectively communicate progress, challenges, learning and success stories to key stakeholders
- Lead creation of comprehensive playbook and training material to standardize and share SOPs with product development and other analytics teams
- Selects analytical techniques and model methods best to solve business problems
- Enables delivery of data-analytics & Gen AI projects. Have deep knowledge of the company's supported technology; understand the whole complexity/dependencies between multiple teams, platforms (people, technologies)
- Communicates intensively with other platform/competencies to comprehend new trends and methodologies being implemented/considered within the company ecosystem
- Understands the customer/stakeholders business needs/priorities and helps build solutions that support our business goals
- Participates in “community of practice” leveraging experience from delivering complex analytics projects.
- Designs machine learning systems and software to automate predictive model
- Transforms data science prototypes and applying appropriate ML algorithms and tools
- Develops ML algorithms to analyze large volumes of historical data to make predictions
- Establishes and manages the close relationship with customers/stakeholders
- Bachelor’s degree (in Engineering or related field, such as Computer Science, Data Science, Statistics, Business, etc.) with at least 3+ years relevant experience
- Hands-on experience with product roadmaps, Agile methodologies and backlog management, ensuring iterative and incremental product improvements
- Strong problem solving, critical thinking, business analysis and quantitative skills
- Strong foundations of statistics and machine learning
- Expertise in developing scalable, secure, and modular product architectures utilizing concepts of Machine Learning, Generative AI, NLP, Prompt Engineering etc,
- Software Development Lifecycle (SDLC) - Experience in Software Development and Engineering, and Analytics Delivery
- Design Applications using AWS / GCP / Azure - Strong proficiency in Python, SQL, and cloud-based environments (AWS, GCP, or Azure) is a must. Experience with APIs, microservices, and DevOps practices is a plus
- Data Engineering - Proficiency in designing & implementing data structure, pipeline & architecture
Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.Employee Status: RegularRelocation:VISA Sponsorship:Travel Requirements:Flexible Work Arrangements: HybridShift:Valid Driving License:Hazardous Material(s):Required Skills: Data Engineering, Data Visualization, Design Applications, Software Configurations, Software Development, Software Development Life Cycle (SDLC), Solution Architecture, System Designs, Systems Integration, TestingPreferred Skills:Job Posting End Date: 10/6/2025*A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.