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    Job · 22361623

    Exxon Mobil logo

    Citizen Data Science Specialist

    Exxon Mobil · Bengaluru · onsite · Posted today

    Undisclosed2–6 yrsfulltimeSourced fromNaukri

    About a minute. You'll make an account on the way through.

    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 logo

    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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