Data Scientist Manager

Grade GResponsible for providing advanced technical data and information management support to a subsurface team, region or function, delivering information management operations and project delivery, and providing technical expertise and guidance in one or more specific data domains in support of delivery of the SIM and data domain strategy. Finance Subsurface Group

• Advanced Data Analysis and Modeling: Feature selection and dimensionality reduction. Model evaluation and validation. Data modeling techniques.
• Domain knowledge: Expertise in domain in which the data scientist operates is critical for asking relevant questions and creating significant solutions.
• Business Insight: Understanding of business operations, market dynamics, and financial implications to prioritize data science projects that align with the FDOs goals
• Out of Code computing: Use libraries that support out-of-core computing, such as Dask in Python These libraries can process data that doesnt fit into memory by reading it in smaller portions from disk.
• Machine Learning: Innovation and Strategy - Technical directions on models and techniques in the team. Advanced Machine Learning Skills for complex models.
• Partnership and Communication: Effectively communicate to non-technical customers. Domain process understanding from SME. Communicate findings through visualization so interaction with visualization and reporting authorities.
• Continuous Learning: Stay relevant through technical data science with domain understanding.
• Data Ethics and Privacy: Anonymization and Pseudonymization. Data Retention Policies.
• Database Management: Knowledge of working with databases and querying data using SQL or NoSQL databases is valuable for accessing and extracting data
• Project Management: Ability to lead data science projects effectively, including prioritizing, planning, and delivering results within set timelines.
• Statistical Analysis and Mathematics: Solid grasp of statistical methods and mathematical concepts are needed for data analysis, modeling, and drawing significant insights from data.

• Overall: DS&T - Data & Analysis [Data Science Team] plays a crucial role in driving data- informed decision-making and generating actionable insights to support the companys goals. This team is responsible for processing, analyzing, and interpreting large and sophisticated datasets from multiple datasets to provide valuable insights and recommendations across various domains
• An experienced [10years+] with masters degree or equivalent experience in quantitative, qualitative field such as Computer Science, Statistics, Mathematics, Physics, Engineering, or a related data field is often required.
• Skills: Leadership role in Data Analysis, Programming proficiency in Python, SQL, Azure data bricks, Statistics & Mathematics
• Leadership qualities to steer the team. Strategic direction and technical expertise.
• Soft skills: Active listening, translate business problems into data questions, Communication and partnership.
• Data Sources: SAP, Concur, Salesforce, Workday, Excel files
• Able to prepare analytical reports, presentations and/or visualization dashboards to communicate findings, KPIs and insights to both technical and non-technical partners.
• Stay up to date with industry trends, standard methodologies and new technologies in data analytics, machine learning, data science technique !

• Certified in SQL, Machine learning, Azure data bricks.
• Extensive experience (typically 10+ years)
• Effective team manager, managing team of 6-8 individuals. Lead, senior data scientists and/or data engineers.
• Effective team manager, managing team of 6-8 individuals. Lead, senior data scientists and/or data engineers.
• Tools and Libraries: Pandas, PySpark, NumPy, and SciPy. NLP, Fuzzy matching logic.
• Experience with SAP systems and data structures, including SAP ECC, SAP S/4HANA, or SAP BW.

Up to 10% travel should be expected with this role This role is eligible for relocation within country This position is a hybrid of office/remote working