Senior Associate II, 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 
• 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 
• 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 

Who You Are

lifications

Required Technical and Professional Expertise

• 3+ years of experience of relevant work experience in Software development, Data science, machine learning or data engineering.
• Experience in working in an agile development team
• 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.
• Good 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.)
• 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.

What You Can Expect

With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Our employee learning hub gives you access to the best learning in the industry to receive certifications and accreditations, including Microsoft University, AWS Cloud Center of Excellence, Udemy, and the Harvard Business Review. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you! We want you to succeed so that together, we will all succeed.