Data Engineering manager

☞ Unique Occupational Services Pvt Ltd.

Ver: 106

Dia de atualização: 06-05-2024

Localização: Hyderabad / Secunderabad Telangana

Categoria: Planejamento / Projetos Alta tecnologia IT - Software

Indústria: Pharmaceuticals

Posição: Mid-Senior level

Tipo de empregos: Full-time

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Conteúdo do emprego

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

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Data limite: 20-06-2024

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