Data Science Lead

1 week ago

Cyberjaya, Malaysia Shell Full time

**The Role**:
**Data Science Lead - Finance**

If you are a data scientist with a passion to show business impact and value to the business with your data science skills, this could be a right opportunity for you to apply.
**What’s the role?
**As a data scientist you’re going to be responsible for:

- leading and executing complex Data Science projects
- Developing advanced data science solutions for problem statements in Finance
- Generating business insights from data analytics at the request from the business, generate and enable value to the business.
- Identifying new value pockets and bring key business stakeholders on board and enable value through project delivery
- Setting up and demonstrating world class standards and best practices in project execution and quality of delivery
- Acting as a Technical Authority and auditing other projects
- Articulating clearly, the data science work, its approach, and its value to senior stakeholders
- Coaching other team members

What we need from you?

We need a strong individual contributor with excellent delivery and interpersonal skills.
**Furthermore, you will have**:

- Strong experience from multiple data science/ AI projects,
- Good knowledge of Forecasting
Advanced Python is a must (great if some work is documented in a GitHub repo)
- knowledge of cloud technology would be an asset
- Understanding of Finance/ Financial Accounting is an additional advantage
- Ability to work with and influence a range of stakeholders with various backgrounds and seniority is a must
- Working knowledge of SQL
- Familiarity with key concepts of object-oriented programming
- Knowledge of SAP, Power BI and/or Alteryx would be an advantage
- Proficiency in any other programming languages (especially C++, Java, SCALA) would be an advantage;
- Expertise in Statistics / Mathematics [Data Quality Analysis, Data identification, Hypothesis testing, Univariate / Multivariate Analysis, Cluster Analysis, Classification/PCA, Factor Analysis, Linear Modeling, Logit/Probit Model, Affinity & Association, Time Series, DoE, distribution / probability theory]
- Expertise in Advanced Timeseries forecasting techniques and/or Advanced Machine learning techniques would be an asset
**Disclaimer

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