Intuitive.Cloud is one of the fastest-growing (INC 5000, CRN) Cloud & SDx solution and services companies supporting enterprise customers on a global scale. Intuitive is an “Engineering Company” delivering measurable value and key business outcomes. Intuitive Superpowers:- DataOps & AI/ML- Cloud Native, AppSecOps, DevSecOps- Cloud Migration & Transformation- Cloud FinOps- Cybersecurity (App/Data/Infra) & GRC- SDx & Digital Workspace We are proud to partner with some of the world’s leading enterprises and serve 200+ customers across different industry verticals. We have achieved many milestones along the way, including being recognized as a top-10 fast-growth 150 IT company in the Americas by CRN in 2022 and being named one of America’s fastest-growing private companies by INC 5000 in 2022. That’s not all! Even CIO Review awarded us as the Most Promising Cloud Migration Company and Artificial Intelligence Solutions Provider in 2022. We are looking for a Data Science Expert. The candidate will utilize optimization, data analytics, visualization, machine learning, and statistical modeling to improve operational efficiencies, support decision-making processes, and develop innovative solutions to the sector’s challenges.
Key Responsibilities: – Data Analysis and Insight Generation: Leverage complex datasets from pipeline operations to generate actionable insights. Analyze data from sensors, meters, and operational logs to identify patterns, trends, and anomalies.
– Machine Learning Model Development: Design, develop, and deploy machine learning models to predict pipeline failures and enhance the safety and reliability of pipeline operations. Use predictive modeling to forecast demand and adjust operations accordingly.
– Operational Efficiency Optimization: Apply mathematical and modeling techniques to optimize pipeline throughput, operating cost, maintenance, and delivery schedules.
– Real-time Data Processing: Implement real-time data monitoring and analysis systems to provide immediate insights into pipeline operations. Use edge computing and IoT technologies to collect and analyze data on the fly.
– Collaboration and Strategy Development: Work closely with engineering, operations, and management teams to develop strategies incorporating data-driven decision-making into everyday operations. Ensure that data insights are accessible and actionable for all stakeholders.
– Innovation and Continuous Improvement: Stay updated on the latest trends, tools, and technologies in data science. Recommend and implement innovative solutions to enhance data analysis capabilities and operational efficiencies.
– Data Visualization and Reporting: Create intuitive dashboards and reports to visualize data analysis results, making them understandable for technical and non-technical stakeholders. Ensure that insights are communicated effectively to support strategic decisions.
– Risk Management and Compliance: Use data analytics to identify and mitigate risks associated with pipeline operations. Ensure that data handling and analysis practices comply with industry regulations and standards.
Skills and Qualifications: – Advanced degree (Master’s or higher) in Data Science, Computer Science, Statistics, or a related field. — Expertise in programming languages (Python, R, SQL) and data visualization tools (Looker, Power BI). – Proven track record of developing and implementing machine learning models and conducting statistical analysis. – Experience with cloud platforms (especially Google Cloud and AWS) and big data technologies (Big Query and RedShift). – Ability to develop and solve optimization problems for supply chain and midstream operation improvement. – Strong knowledge of operational processes and challenges in the midstream. – Excellent communication skills with the ability to translate complex data insights into strategic actions.
