| Company: | SHELL |
|---|---|
| Job Role: | Data Science Team Lead. |
| Experience: | Experienced Professionals. |
| Vacancy: | 15+ |
| Qualification: | BE/B.Tech, ME/M.Tech, MBA. |
| Salary: | ₹2,32,766/month. |
| Location: | Chennai, Tamil Nadu, India. |
| Join us on Telegram | Click Here |
| Apply Mode: | (Online) |
| Deadline: | Not Mentioned |
Job Description:
The Data Science Team is tasked with delivering tangible value to business units within Shell through data-driven decision making.
Role:
- Shell's Finance & Data Operations Data Science team leads a small team of data scientists that deliver advanced analytics projects for different businesses. A data scientist will join a growing global organization spanning both onshore and offshore operations.
- Working with a variety of business stakeholders and partners and implementing a variety of tools and technologies, the incumbent develops analytical models for projects.
- The ability to manage stakeholder expectations and exceed them is a crucial skill. As a candidate for this role, you will be required to work closely with global stakeholders and ensure mistakes do not occur during the delivery process. The candidate must also demonstrate the ability and skills required for taking on advanced analytics projects
- Candidates with strong quantitative skills (such as statistics, mathematics, advanced computing, machine learning) must have applied those skills to solve real-world problems across different businesses or functions.
- Candidates should be familiar with Shell data sources and be able to operate analytical tools to enable them to answer business questions as well as follow their own initiative to explore the underlying factors. A business question is likely to be related to Range optimization, Promotion effectiveness, Store clustering, Pricing optimization, Performance decomposition and identifying purchase patterns.
Dimensions :
- Execute analytics projects within the portfolio
- Develop a data science solution relevant to the business opportunity or problem
- Lead the identification of appropriate data science models and evaluate their fit with the available data
- Communicate the insights from the models in business-friendly language and explain the workings of the model for business adoption
- Assist the business value manager in managing the portfolio
Education Requirement/Field of Study:
Project Management
- Develop and execute end-to-end analytics projects - Scoping the project, securing the data, managing modeling, converting model results into business insights, and helping business partners understand insights and make decisions accordingly (help generate value for the organization through analytics).
- Create and manage project management plans, run status update meetings, coordinate deliverables and timelines, and manage risks to project delivery
- Recognize the level of statistical knowledge among business stakeholders, analytics experts, and IT resources, and explain how analytics will be applied effectively
- For the successful execution of the projects, you'll need to manage multiple moving parts - business stakeholders, IT, Analytics Resources, Data Experts, SMEs, etc. (executing multiple projects at the same time will be considered a plus.)
- Mastery is the proficiency level
Special Challenges:
- Deliver practical working solutions based on a new and developing concept.
- Ensure colleagues have a good understanding of data analytics, keeping in mind that every stakeholder and member of the project team needs a different level of understanding.
- Work virtually with colleagues around the world.
Requirements:
Stakeholder Management Skills
- Working with highly analytical and demanding stakeholders. The candidate should be able to demonstrate advanced analytics skills and ensure all projects are error-free
- Relationship-building with stakeholders across businesses and functions to gain an understanding of their areas of operation and apply them to project execution
- Outline the challenges / opportunities within a business / function that analytics can support
- Deliver actionable insights that directly address challenges and opportunities
- Business insights and recommendations (based on model output) based on understanding of the business / function and its stakeholders
- The ability to understand and select the appropriate analytical approaches that are consistent with business control/governance structures
- Understanding business KPIs, frameworks, and performance drivers
- Mastery level of proficiency
Industry / Functional Expertise:
- Prior experience of 8+ years in the Retail (or similar) industry as an analytics/BI professional OR expertise in Retail sales & marketing. Functional expertise in any one or more of the following industries / functional areas
- Pricing Analytics - Price Elasticity, Optimization, Price Trial Evaluation and Forecasting
- Customer / Marketing – churn prediction, cross-sell / up-sell, Market Basket Analysis, Product Recommendation, Marketing Mix Modeling, Campaign design and effectiveness testing, Network Modeling, Customer segmentation, propensity analysis, customer lifetime value, profitability analysis, Customer experience (incl. voice of customer), CRM, Loyalty program management,
- Supply Chain / Spend: Demand & Supply Forecasting, Spend Analytics, Vendor Scoring, Pricing analysis (buy-side), product substitution analysis, product portfolio optimization, Tail spend analysis, logistics / network / route optimization, Contract Compliance
- Proficiency Level: Skill-to-Mastery
Modeling and Technology Skills:
Deep expertise in machine learning techniques (supervised and unsupervised) statistics / mathematics / operations research including (but not limited to):
- Statistics / Mathematics: Data Quality Analysis, Data identification, Hypothesis testing, Univar ate / Multivariate Analysis, Cluster Analysis, Classification/PCA, Factor Analysis, Linear Modeling, Affinity & Association, Time Series, DoE, distribution / probability theory
Strong experience in specialized analytics tools and technologies (including, but not limited to)
- Python, R
- Apteryx, Spotfire, Tableau
- Ability to search, extract, load & visualize data from data bases using pre-defined reports and new ad hoc queries (using BI self service)
- Proven ability to use visualization software packages - Spotfire, Tableau, and to create state-of-the-art presentations using MS PowerPoint
- Determine the most appropriate modeling approach(as) for a given scenario and explain why it is the best choice
- Assess the availability of data and the feasibility of modelling
- Interpret the results of the model
- Convenience Retail experience (good to have) Retail experience (must)
- Microsoft Power Point expert (Must)
- Storytelling: the ability to present data clearly and persuasively
- Work under pressure as the number of business requests is growing and expectations are to grow even more due to the success of the work done so far
- With a strong analytical mindset, we drill data to uncover insights and learn new things every day.
- Evaluate the fit of the model and the business/function scenario
- Mastery level of proficiency
Disclaimer:
Please note: We occasionally amend or withdraw Shell jobs and reserve the right to do so at any time, including prior to the advertised closing date. Before applying, you are advised to read our data protection policy. This policy describes the processing that may be associated with your personal data and informs you that your personal data may be transferred to Royal Dutch/Shell Group companies around the world. The Shell Group and its approved recruitment consultants will never ask you for a fee to process or consider your application for a career with Shell. Anyone who demands such a fee is not an authorized Shell representative and you are strongly advised to refuse any such demand. Shell is an Equal Opportunity Employer.
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