Data Science off-shore Lead – Oil & Gas and Petrochemical Domain

RESOURCE REQUISITION FORM

Version 3.0 - Date of Release: February 01, 2025

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A) General/Project Information

Position / Designation to fill: Data Science Off-shore Lead – Oil & Gas and Petrochemical Domain

No. of positions: 1

Assignment Location: Flexible

Justification for the vacancy: New position required to lead and execute multiple tier-1 client projects/PoCs involving advanced Data Science techniques including AI, ML, GenAI within Oil & Gas and downstream Petrochemical industries.

Project/Domain details: Multiple data science client project and PoCs in O&G

Needed By Date (DD/MM/YY): 01-09-2025

Salary Range/Rate: TBD

Work from Home: Yes

Shift Hours: India-US overlap

B) Job Description

Scope of work: Lead and execute multiple tier-1 client projects involving advanced Data Science techniques including AI, ML, GenAI within Oil & Gas and downstream Petrochemical industries.

Responsibility:

• Lead data science efforts (AI, ML, GenAI, optimization) for multiple client engagements in Oil & Gas and downstream Petrochemical industries.
• Manage end-to-end Data Science project lifecycle from problem comprehension, analytical solution development to final delivery.
• Act as primary point of contact for client interactions, presentations, and requirement elicitation.
• Guide teams on advanced data science techniques ensuring alignment with business objectives.
• Collaborate cross-functionally with domain experts, business stakeholders, and technical teams to deliver robust analytical solutions.

C) Skills Required

Essential Skills (Must have):

• Expert knowledge of data science algorithms, methodologies, and end-to-end lifecycle (AI/ML/GenAI), MLOps, and post deployment service of AI models.
• Strong comprehension of complex Oil & Gas and downstream Petrochemical industries problems.
• Exceptional articulation skills to communicate technical concepts clearly to both technical and business stakeholders.
• Advanced analytical skills for strategic problem-solving and actionable insight generation.

Additional Skills (Good to have):

• Exposure to cloud platforms (AWS/Azure/GCP), DevOps, deployment and scaling frameworks.
• Experience in leading agile teams and agile methodology.
• Familiarity with data visualization tools (e.g., Tableau, Power BI).
• Understanding of data engineering principles and big data.

D) Other Information

Educational Qualifications: Bachelor’s and master’s in engineering/technology

Experience Level (Total): 4-6 years

Experience Level (Must Have Skills): 3-5 years