This role is viewed as an expert in making sense of complex data environments, encompassing both business data and process understanding and technical expertise.
Leads in developing innovative, technical solutions to important, highly complex strategic and operating problems. Has strong knowledge in business and technical functions that are touch points with their area of expertise.
Provides technical consulting on complex projects. Acts as a source of direction, training and guidance for other team members.
Is knowledgeable in industry best practices in their area of expertise
Key Accountabilities :
Development of advanced analytics to help drive competitive advantage from data with accountabilities across multiple functional and technical areas with wide range of complexity.
The Data Scientist must understand complex data types (integrate, manipulate, prepare), know advanced analytics (appropriate techniques, interpret data and diagnose models, meet business requirements), and focus on the business outcomes (goals, constraints, decisions while communicating outcomes via presentations).
Develop models and algorithms that drive innovation throughout the organization. This may include marketing, supply chain, inventory planning and deployment, network planning, order routing, and order fulfillment and delivery.
Conduct advanced statistical analysis to provide actionable insights, identify trends, and measure performance.
Coordinates data science implementations while leading design variances based upon business needs while ensuring artifacts and repositories are documented.
Manages engagements with vendors as they relate to evaluation, design and delivery of business capabilities.
Key Qualifications and Experiences :
At least 10 years of IT experience and at least 4 years or more of work experience in data scientist discipline. Experience with R, Python.
Experience building machine learning application in areas like time series forecasting, classification models, clustering models, multivariate regression models etc.
Experience in Microsoft Azure Stack in the Cloud with focus on Data Factory, Data Bricks, BLOBs, Data Lake Storage, ML Studio, Azure Analysis Services, Azure Data Warehouse, Power BI etc. (PLUS)
Experience working with large data sets and distributed computing tools a plus (Map / Reduce, Hadoop, Hive, Spark, Python, R, Gurobi, MySQL, etc.).
Verbal and written fluency in English is mandatory. Ability to work in a virtual team which may work across distance (remote), cultures and time zones, in a matrix with multiple reporting lines.
Why Kimberly Clark?
You will have the chance to work a global organization that focuses heavily on its people development. This is an opportunity for you to take part in digital transformation projects, working with the newest, cutting edge technologies on solutions for the whole region.
We offer attractive employment conditions (competitive salary, benefits package, flexible work) and the possibility to work in an international team with the best Technology professionals from all over the world.
If fresh thinking and a passion to win inspire you, come Unleash Your Power at Kimberly-Clark!