Citizen Data Science Specialist
Exxon Mobil · Bengaluru · onsite · Posted today
Undisclosed2–6 yrsfulltimeSourced from
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About this role
About us
For well over a century, ExxonMobil has been at the heart of creating and growing a modern world. We embrace the power and promise of technology, pushing the boundaries of whats possible. For billions around the world, lives are better and last longer because of the innovative problem solving and reliable energy we provide. And when it comes to developing industrial solutions to reduce carbon emissions, ExxonMobil is truly the leader.
We dont stop at "good enough." We are committed to doing whats right, even if its difficult or unpopular. We hold ourselves to high standards, challenge whats possible and invest in innovation to meet societys critical needs.
Real change begins with bold questions, drive, and ambition. Here, your talent, determination and contributions shape how far youll go and the impact youll make along the way.
Our future success depends on exceptional people. We invest in developing talent through meaningful work, challenging assignments, mentorship, and experiences that help build the next generation of leaders.
Our Culture
We are uniquely ExxonMobil. Integrity, care, excellence, resilience and courage, these core values determine how we work every day. At ExxonMobil, our values arent just words- theyre how we show up, focused on delivering the right answer, the right way, every day.
What role you will play in our team:
We are seeking a Citizen Data Science SME to lead the development and scaling of enterprise-wide standards, governance, and best practices for low-code and AutoML-driven analytics.
This role will act as a strategic enabler and technical authority, responsible for building a robust Citizen Data Science capability across the organization. The SME will drive adoption of low-code analytics platforms, establish reusable frameworks, and ensure delivery of high-quality, scalable, and governed analytical solutions.
The role will partner closely with business, data engineering, IT, and vendor teams to incubate new analytics capabilities, lead proof-of-concept (POC) initiatives, and upskill a growing community of Citizen Data Scientists.
The role will be based in Bengaluru, Whitefield and is a full-time office-based position.
What you will do
Key Responsibilities:
- Evaluating Business Processes: Identifying opportunities for automation to improve efficiency and effectiveness.
- Define and implement enterprise standards, best practices, and governance frameworks for Citizen Data Science
- Lead tooling strategy and platform adoption (e.g., Dataiku, Alteryx, Power Platform, AutoML tools)
- Drive and oversee POCs, pilots, and vendor incubation projects to evaluate and scale new capabilities
- Develop reusable templates, workflows, and accelerators for low-code analytics
- Establish model lifecycle practices (development, validation, deployment, monitoring) within low-code platforms
- Train, mentor, and upskill Citizen Data Scientists across business units
- Partner with data engineering and IT to ensure integration, scalability, and compliance
- Act as a bridge between business and technical teams, translating use cases into actionable analytics solutions
About You
Required Skills and Qualifications:
Core Technical Skills
- Strong experience with low-code/no-code data science platforms: (e.g. Dataiku, Alteryx, KNIME, Power Platform, or similar)
- Familiarity with AutoML and model development concepts
- Data preparation, transformation, and feature engineering
- Understanding of ML lifecycle (MLOps concepts in low-code context)
- SQL proficiency (required); Python/R (working knowledge preferred but not mandatory)
Data & Analytics Skills:
- Predictive modeling, forecasting, segmentation, and optimization
- Data visualization tools (Power BI, Tableau)
- Data pipeline and workflow automation
Governance & Framework Design:
- Experience defining: Best practices, Reusable frameworks, Model governance standards
- Risk and compliance guardrails
Soft / Leadership Skills:
- Strong stakeholder management and influencing skills
- Ability to train and enable non-technical users
- Strategic thinking with execution focus
- Excellent communication: translating complex analytics into business value
Preferred Skills & Qualifications:
- Experience building or scaling a Citizen Data Science program or CoE
- Prior experience with enterprise data governance, model risk management, or regulated environments
- Exposure to cloud ecosystems (Azure, AWS, GCP) and their ML/analytics services
- Experience integrating low-code solutions into production pipelines
- Background in training, curriculum development, or community enablement
- Knowledge of MLOps, Responsible AI, and model monitoring practices
- Consulting or strategy experience in analytics transformation initiatives
- Pandas and scikit-learn, XGBoost / LightGBM, PyTorch or TensorFlow for advanced use cases, Azure ML and Azure Databricks / Spark, MLOps
- Build machine learning models in Python using popular machine learning libraries NumPy & scikit-learn
- Build & train supervised machine learning models for prediction & binary classification tasks, including linear regression & logistic regression
- Python, scikit-learn (Classical ML), PyTorch, TensorFlow (Deep Neural networks) (Libraries inside the python), Databricks, and Spark
- Has personally developed a predictive model/advanced analytics model evaluation metrics like regression, timeseries, forecasting etc.
- Strong SQL experience, Power BI or equivalent visualization experience
- Has developed AI/ML solutions
Job Group Capability
Data Science, Digital & Analytics
Functional Skills
Machine Learning
Data Visualization
Data Architecture & Strategy
Applied Software Engineering for Data
Data Integration
Data Modeling
Data Management
Alternate Location:
Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.
This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Skills
Automationdata architectureamazon web servicescurriculum developmentclassificationanalytics platformsazure mlalteryxAnalyticsData EngineeringcloudArchitectureAdvanced AnalyticsAzure DatabricksData GovernancecomplianceMicrosoft AzureArtificial Intelligence
About ExxonMobil

Exxon Mobil
Oil & Gas
2k+
employees
1972
54 years old
Bangalore / Bengaluru, Karnataka
India
₹23.4L PA avg
Avg at ExxonMobil
About
The need for energy is universal. That's why ExxonMobil scientists and engineers are pioneering new research and pursuing new technologies to reduce emissions while creating more efficient fuels.
Industries
Oil & GasManufacturingOil / Gas / Petro Chemicals
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