- Advanced Data Analysis and Modeling: Lead data scientists must have a solid foundation in data and a deep understanding of various machine learning algorithms They should be able to apply these techniques to solve sophisticated problems and extract valuable insights.
- Out of Code computing: Use libraries that support out-of-core computing, such as Dask in Python These libraries can process data that doesn't fit into memory by reading it in smaller portions from disk
- Business Discernment: Understanding the FDO's business objectives and aligning data initiatives with them
- Project Management: Being skilled in project management methodologies helps in planning and driving data science projects efficiently.
- Machine Learning: Innovation and Strategy - Advanced Machine Learning Skills for sophisticated models. Evaluation
- Teamwork and Communication: Effective communication with customers, Explain the modeling approach and results. Enforce to privacy guidelines and recommendation with conscious balance
- Continuous Learning: Staying up-to-date in driven edge. Apply methodologies to practical business challenges. Meeting with domain GPO's
- Data cleaning and preprocessing, analysis: The ability to clean and preprocess data optimally is a fundamental skill in any data science role
- Data Ethics and Privacy: Transparent communication with customer. Ethical considerations in algorithm design. Secure data handling, Data minimization
- Database Management: Proficient in database systems and SQL is vital for data retrieval and storage
- Domain knowledge: Expertise in the domain they are working in to understand the context and requirements of the data projects better
- Statistical Analysis and Mathematics: Solid grasp of statistical methods and mathematical concepts is essential for data analysis, modeling, and drawing meaningful insights from data
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Senior Data Scientist - India - Pune - BP Energy
Description
Entity:
Finance
Job Family Group:
Job Description:
We are a global energy business involved in every aspect of the energy system. We are working towards delivering light, heat, and mobility to millions of people every day. We are one of the very few companies equipped to solve some of the big complex challenges that matter for the future. We have a real contribution to make to the world's ambition of a low-carbon future. Join us and be part of what we can accomplish together. You can participate in our new ambition to become a net zero company by 2050 or sooner and help the world get to net zero.
Would you like to discover how our diverse, hardworking people are leading the way in making energy cleaner and better – and how you can play your part in our world-class team?
Join our Team and advance your career
DS&T - Data & Analysis [Data Science Team] plays a crucial role in driving data-informed decision-making and generating actionable insights to support the company's goals. This team is responsible for processing, analyzing, and interpreting large and complex datasets from multiple datasets to provide valuable insights and recommendations across various domains. Through sophisticated analytical techniques and machine learning models, the data science team helps optimize processes, predict trends, and build data-driven strategies.
Your Key Accountabilities, will be
Job Requirements:
A bachelor's or master's degree or equivalent 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, Machine learning algorithms, Programming proficiency in Python, SQL, Azure Databricks, Statistics & Mathematics.
Proficient with GenAI, Large language model, ChatGPT, Prompt Engineering, Optimization techniques
Leadership skills to steer the team. Strategic direction and technical expertise
Soft skills: Active listening, Translate business problems into data questions, Communication and teamwork, Presentation, Problem solving, Multi-functional, Team management, Customer management
Data Sources: SAP, Concur, Salesforce, Workday, Excel files
Other: Project management. Domain knowledge [Procurement, Finance, Customer], Eye For Business, Critical thinking, Story telling
Able to prepare analytical reports, presentations and/or visualisation dashboards to communicate findings, critical metrics and insights to both technical and non-technical customers
Stay up to date with industry trends, best processes and new technologies in data analytics, machine learning, data science techniques.
Desirable Criteria:
Certified in SQL, Machine learning, Azure Databricks
we need a Phenomenal teammate, leading team of code developers/ junior data scientists and/or data engineers
Tools and Libraries: Pandas, PySpark, NumPy, and SciPy. NLP, Fuzzy matching logic
In-depth understanding of procurement, finance, customer business processes
Experience with SAP systems and data structures, including SAP ECC, SAP S/4HANA, or SAP BW.
Your expertise in delivering high-quality work within Bandwidth and leading multiple priorities.
Travel Requirement
Relocation Assistance:
Remote Type:
Skills:
Legal Disclaimer:
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability status. Individuals with disabilities may request a reasonable accommodation related to bp's recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an accommodation related to the recruitment process, please contact us to request accommodations.
If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.