Senior Data Scientist

Key Skills

Java Programming, Python Programming, SQL, R Programming, SAS, SPSS Statistics

Job Description

The Senior Data Scientist will develop and implement analytics enabled solutions to improve business process, to generate insights, support business goals and strategy development. The identified applicant will own and deliver projects of diverse scope and will be tasked to oversee the work of more junior data scientist.

What motivates you?

• You obsess about customers, listen, engage, and act for their benefit
• You think big, with curiosity to discover ways to use your agile mindset and enable business outcomes
• You thrive in teams, and enjoy getting things done together 
• You take ownership and build solutions, focusing on what matters
• You do what is right, work with integrity and speak up 
• You share your humanity, helping us build a diverse and inclusive work environment for everyone

We are looking for someone with:

• Advanced degree in Statistics, Math, Computer Science, Basic Sciences or Engineering; or bachelor’s degree with equivalent technical experience
• Minimum of 5 years of applicable experience. Advanced knowledge of programming languages and concepts (e.g. SAS, SPSS, R (different modules) or Python)
• Basic knowledge of AI toolkits
• Strong ability to construct systematic process to implement analytics insights and solutions, this includes (but not limited to): Designing a process with multiple relevant parties with clear specifications of roles and responsibilities Identifying required tasks, system / data flow and contingency Specifying check-and-balance throughout the process Establishing rigorous tracking and closed loop learning 5) implement such process in a scalable way.
• Expert -level: Basic and advanced statistical tests, distributions, maximum likelihood estimators, statistical modelling techniques Data visualization tools such as Tableau, QlikView, open-source data visualization libraries Strong working knowledge of relational database models (e.g. data vaulting techniques, rules tables)
• Advanced level: Knowledge of different techniques and knowledge of machine learning algorithms Advanced knowledge of common database querying languages such as SQL. Capability of applying a systematic, structured approach to explore / navigate / mine massive amount of data, structured / unstructured data.

Nice to haves:

• Has intimate understanding of the business value chain and customer lifecycle for a line of business or more. Has fundamental understanding of the business as a whole and has started to build a network of people for ideation, info sharing, knowledge.
• Appreciates importance of corporate climate and culture.
• Strong knowledge of the business and engages in ongoing discussions and moves others towards a position, appealing to needs and interests of clients to gain acceptance
• Displays empathy with the business and anticipate their areas of concern
• Shares ideas with others, leads brainstorming sessions. Contributes to solutions outside immediate area of expertise
• Ensures all voices are heard
• Actively seeks out coaching and incorporates feedback into their work. Provides guidance and mentorship to more junior data scientists
• Promotes best practices within the team.
• Shares technical expertise with others and owns their career development
• Takes advantage of available resources to advance their technical and business skills.
• Understands how their project supports broader business strategy, including the core drivers of business value
• Able to prepare a business case on the benefits of their assigned work. Incorporates lessons learned throughout the business into their work.
• Engages with global counterparts to share learnings

On the job you will:

• Develops and implements analytics enabled solutions to improve business process, to generate insights, support business goals and strategy development
• Owns and delivers projects of diverse scope.
• Oversees the work of more junior data scientists.
• Works on problems of diverse scope / complexity where analysis of situations or data requires an in-depth evaluation of a variety of factors
• Strong ability to generate relevant, actionable insights based on iterative data analysis, translate data-driven output into business language, and to make appropriate recommendations to respective business stakeholders Independently provides analysis on datasets of significant complexity.
• Quickly able to develop enough business insight to connect data sources across multiple diverse and complicated systems. Recommends implementable solutions to (or in collaboration with) business partners.
• Considers change management in all aspects of their work. Supports more junior data scientists with Change Management.

Our commitment to you:

• Our mission; to be a part of making Decisions Easier and Lives Better 
• A leadership team dedicated to your growth and success
• A bold ambition and set of goals to be a leader in driving transformation in our industry
• Our best. Every day.