Description
Master Level Data Scientist
Analytics is one of the top focus areas for the client, It is a core component of the Empower quadrant of their global strategy. This quadrant is all about enabling our customers to harness 100% of data types, regardless of source or scale, to drive superior business outcomes. In the Analytics practice we have the opportunity to work with the most exciting brands in the world in the areas of automotive, manufacturing, aerospace, defense, public sector, retail, oil and gas and many more industry verticals.
About the role of Master Data Scientist
The Master Data Scientist needs to have three primary skills; proficiency in data science, business consulting capability, and team leadership.
From a data science perspective the successful candidate will apply their knowledge of advanced analytics, data mining and statistical techniques to design and develop enterprise analytic solutions which are focused on solving specific challenges experienced by our customers.
From a business consulting perspective the successful candidate will possess the ability to discuss business challenges with our customers and suggest potential solutions based on analytics. They will also be able to comprehend the impact of their solution on the business processes of the customer at a high level.
From a leadership perspective the successful candidate will have the ability to coordinate a team of more junior data scientists on a project to ensure that the most effective working structure is obtained.
Tasks:
- Has the ability to execute all of the steps of a data science project following a methodology such as CRISP-DM.
- Translates data mining results into clear business focused deliverables for decision makers.
- Works with application developers to deploy data mining models into operational systems.
- Integrates advanced analytics into end-to-end Business Intelligence solutions and operational business processes.
- Designs and/or contributes to the development of a solutions which can be repeatedly deployed to multiple customers.
- Provides the technical direction required to resolve complex analytics issues to ensure the on-time delivery of solutions that meet customer expectations.
- Provides consulting advice to customer senior leadership and contributes to setting the strategic direction for customers around analytics.
- Actively participates in company's professions program and Practice Improvement activities.
- Proactively encourages re-use within practice or profession.
- Is recognized by peers inside and outside the company as an expert in analytics.
- Contributes also to the broader regional company community in analytics in order to ensure knowledge share is optimized.
Qualifications:
- 8+ years of professional experience in the area of analytics or in related areas supporting professional development in analytics.
- > 3 years of experience in analytic application/solution development to operational readiness and repeatable deployment.
- Strong business focus. Must excel at connecting business requirements to data mining objectives and to measurable business benefit
- >3 years use of R, SAS Enterprise Miner or SPSS Clementine (or similar) for data mining and statistical analysis
- Expert use of data mining methodologies such as classical regression, logistic regression, CHAID, CART, neural nets, association rules, sequence analysis, cluster analysis, and text mining
- Knowledge in use of SQL and experience with relational databases
- Some experience with Hadoop, Map/Reduce, Hive, Spark, Mahout or other parts of the broader Hadoop framework.
- Ability to manage multiple projects efficiently and able to meet deadlines
- Sufficient depth and breadth of technical knowledge to design and scope multiple deliverables across a number of technologies.
- Led team in the delivery of complex analytical solutions preferably across multiple technologies.
- Preferably has contributed to the design and development of new tools or solutions to take to market.
- Able to communicate with internal and external senior management confidently and demonstrate professionalism at all times.
- Ability to adapt a consulting style appropriate to the situation and can identify up-sell opportunities
- Be able to demonstrate a broad understanding of market dynamics, an industry area, commercial issues, and technical concerns whilst maintaining depth in core focus area
- Ability to present within own area of expertise as part of a customer sales presentation, putting forward domain specific information within the context of a sales campaign
- Has demonstrated ability to lead others in the gathering of requirements, designs, plans and estimates