Data Engineering manager
☞ Unique Occupational Services Pvt Ltd.
Vue: 106
Jour de mise à jour: 06-05-2024
Localisation: Hyderabad / Secunderabad Telangana
Catégorie: Planification / Projets Haute technologie IT - Logiciel
Industrie: Pharmaceuticals
Niveau: Mid-Senior level
Type d’emploi: Full-time
le contenu du travail
Role - Data Engineering manager
Location- Hyderabad
Major Accountabilities/Responsibilities
Your responsibilities include, but not limited to:
• Bring deep domain understanding and expertise in at least one of the following areas – a) Pharma R&D, b) Manufacturing, Procurement, and Supply Chain and c) Clinical/drug development. Translate business problems into Data Science problems and identify optimal data science methods to solve them
• Act as a consultant who brings a diverse knowledge of business understanding, domain expertise, and technical knowledge to suggest and co-create optimal solutions by collaborating with cross-functional teams
• Communicate business impact and value delivered to various stakeholders and CONEXTS leadership. Entrepreneurial approach to problem-solving, dealing with ambiguity, and co-owning solutions
• Ability to interact with multiple stakeholders and teams to understand requirements and partner with delivery teams to implement solutions
• Collaborate and work closely with CTS counterparts like data science teams, digital teams, IT and data engineering teams
• Define and shape specific data science and Artificial Intelligence use cases by working closely with stakeholders in business domains. Build trusted partnership with the stakeholders
• Ability to scan and understand existing algorithms/code repositories in and public domains to repurpose and apply them to new business problems to deliver agility and efficiency in implementing solutions. Hands-on technical expertise to deliver data science and analytical solutions.
• Manage quality and consistency of CONEXTS data/data science services delivery to all stakeholders. Conduct brainstorming sessions with businesses to collect pain points, prioritize them and develop use cases
Education (minimum/desirable): Masters/Ph.D. in Computer Sciences / IT or other quantitative sciences
Experience / Skills:
• 6+ years of experience in a global company as a data scientist, consultant, analyst, insights, or techno-business roles
• Understanding of data modeling (conceptual, logical, and physical), databases, and building ML pipelines
• Strong understanding of data science, machine learning (supervised and unsupervised), deep learning, and artificial intelligence
• Programming skills in Python/R and required data science libraries is strongly preferred
• Experience in working with data, ETL process, and programming skills for data preparation and analysis.
• Business understanding of pharmaceutical industry and data standards. Proven track record in at least one of the following areas – a) Pharma R&D, b) Manufacturing, Procurement, and Supply Chain, and c) Clinical and Drug Development. Experience in working in Pharma / Life Science industry strongly preferred
Date limite: 20-06-2024
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