Lead, Data Science

Key Skills

Agile methodologies, Data Analytics, Data Modeling, Data science techniques, DevOps, ETL frameworks, Leadership Skill, Python Programming, PyTorch, R Programming, Statistics, Streaming APIs, TensorFlow

Job Description

The Role

You are a great fit if you can:

• Dissect business problems and devise analytical solutions 
• Collaborate with experts in a business area, getting an understanding of the underlying business process, strategy and execution 
• Identify approaches to improve model accuracy and effectiveness of analytics 
• Define output of use cases for end user consumption to perform optimization analytics 
• Address business needs by prioritizing critical pain points that, once solved, will drive the most value 
• Extract, transform, and combine all incoming data with the goal of discovering a previously hidden insight, which in turn can provide a competitive advantage or address a pressing business problem

• Not just simply collect and report on data, but also build statistical models, determine what they mean, then recommend ways to apply the data 
• Derive business insights through expert mathematical, analytical and computational techniques 
• Design, deploy, and tune analytics models integrated with structured / unstructured data sources 
• Select a suitable tool for the analytics solution or working with data 
• Create visual presentations of analytics results and translates quantitative insights for a non-technical audience 
• Armed with data, modeling expertise, and analytical results, communicate informed conclusions and recommendations across an organization’s leadership structure 
• Work within an Agile Development team

Who You Are

Required Technical and Professional Expertise

• 6+ years of experience of relevant work experience in Software development, Data science; out of them 2+ years in cloud native software development or data analysis or engineering.
• Experience in working in an agile development team
• Ability to think “beyond the API”
• Familiar or expert with big data / analytic tools, such as Python, Python Analytical Libraries, Graph/NoSQL databases, Cloud Environment
• Manage ETL processes for your development models, including legacy data, real-time data streams, and APIs.
• Broad and deep data and analytics skills such classification, communication, creativity, diagnostics, metrics / measurement, organizing, prioritization, qualitative and quantitative analysis, research 
• Experience in creating and using advanced machine learning algorithms and statistics such as regression, simulation, scenario analysis, modelling, clustering, decision trees, neural networks, etc.
• Utilize tools such as R, Python, Pytorch, and TensorFlow for model development.

• Experienced with manipulation of large volumes of data 
• Experienced with programming languages and tools and general software development skills (source code management, debugging, testing, deployment, etc.)
• Able to elevate and challenge the existing use of data 
• Strong business acumen, coupled with the ability to communicate findings to both business and IT leaders in a way that can influence how an organization approaches a business challenge 
• Recognize business and challenges and influence people and organizations, including executive management, when issues are complex/difficult and require considerable diplomacy 
• Lead and or participate in multi-functional teams or conduct special projects 
• Can work effectively with considerable latitude to define and decide on tools, processes, priorities and resources following general business unit directives 
• Adaptable and flexible to work environment including, but not limited to, out of town travel as required to meet business commitments and handling multiple tasks concurrently, and easily adapting to new assignments, system, tools 

Preferred Technical and Professional Experience

• Bachelor's degree in Computer Science, Mathematics, Statistics, or equivalent practical experience
• Experience with containerization packaging, tooling, and DevOps methodologies

Being You

Diversity is a whole lot more than what we look like or where we come from, it’s how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we’re not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you – and everyone next to you – the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That’s the Kyndryl Way.