Data Scientist for AI

Who We Are

At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities.

The Role

Are you ready to embark on an exhilarating journey as a Data Scientist for AI? Join Kyndryl and become a driving force behind the transformative power of data! We're seeking an exceptionally talented individual to accelerate the competitive performance of our customers worldwide, establishing us as their unrivaled business and technology consulting partner. 
As a Data Scientist for AI, your impact will be monumental. You will unleash the potential of data technology, collaborating with customers to envision and conceptualize strategic applications. By combining your deep understanding of business and technology, you will become a catalyst for success, delivering invaluable insights and recommendations that propel our customers' organizations forward.
Prepare to immerse yourself in the world of data strategies and programs, crafting ingenious approaches to collecting, storing, analyzing, and visualizing data from diverse sources. Your technical expertise in a vast array of cutting-edge big data tools will empower you to develop groundbreaking solutions tailored to meet the unique requirements of each customer.
But that's not all – your role as a Data Scientist for AI at Kyndryl will transcend traditional boundaries. You will lead captivating workshops and engaging consulting engagements, helping customers forge data-driven strategies that reshape their future. Educating our customers about the latest Data Science technologies and frameworks will be second nature to you, enabling them to unlock the full potential of their data resources.
Armed with an analytical approach, you will unveil strategies, assessments, recommendations, and comprehensive plans to address complex issues while seamlessly aligning both the technical and functional requirements of IT and the business. Your deep consulting skills and business acumen will be harnessed to analyze customer business issues, formulate hypotheses, and test conclusions, ultimately delivering data solutions that defy expectations.
If you have a passion for turning data into a force for change and thrive in a dynamic, fast-paced environment, this is your chance to shine! Unleash your creativity, embrace innovation, and become a master of efficiency as you create solutions that revolutionize customer business and IT landscapes. Join Kyndryl and become part of a remarkable team that turns data into success stories.
Your Future at Kyndryl
As a Data Scientist for AI at Kyndryl you will join the Kyndryl Consultant Profession, working with other Kyndryl Consultants, Architects, Project Managers, and cross-functional Technical Subject Matter Experts – presenting unlimited opportunities with unmatched support through our investment in your learning, training, and career growth.

Kyndryl currently does not require employees to be fully vaccinated against COVID-19, however, if you are hired to work at a client, customer, or partner location, you may be required to show proof of vaccination to align with their respective COVID-19 vaccination policies.  Those who believe they are eligible may apply for a medical or religious accommodation prior to the start of employment.

Who You Are

Kyndryl is looking for leaders who are passionate about helping some of the world’s biggest companies make better use of their data.  Our data scientists are everywhere; leveraging AI to help empower field workers with AI assisted decision making, creating a platform to help banks fight money laundering, and even ensuring that clients’ interactions with generative AI are safe.  We’re looking for data scientists who aren’t satisfied with the easy problems, who don’t want to work on the same questions or even the same technology every day.

As a Data Scientist for AI you’ll have two major functions.  Whenever possible you’ll be assigned to a customer or industry to help assess, advise and build solutions for clients.  You’ll work with talented data engineers and consulting leaders to not only sift through the data but also to identify the opportunities that our customers may have missed or create their data strategy and roadmap.  We are partnered tightly with AWS, Azure, and Google and part of your job will be to understand their latest technology in the Data Science area and how it can impact your customers.

Additionally, when not directly assigned to projects, you will be helping to build our practice by developing perspectives, creating PoVs and identifying areas where we can uniquely and effectively position Kyndryl as a competitor.  You will work within a collaborative environment and lead efforts within a talented team to develop new or augment existing capabilities for Kyndryl to take to market.  In order to prioritize and align our efforts effectively, you will also take part in sales conversations to understand customer demand and the pulse of the industry overall.

Responsibilities:

• Always be learning.  You’ll be exposed constantly to new business problems, new clients, and new technologies.
• Synthesize data to create AI and Analytics models.
• Work on collaborative teams leveraging agile techniques, effective documentation, and clear development practices to create quality solutions for clients.
• Articulate requirements to data engineering teams and collaborate with stakeholders to creatively obtain the data necessary to provide client value.
• Overseeing projects from start to finish, from understanding of the business problems to deployment of solutions.
• Communicate with stakeholders on progress and expectations.
• Communicate with sales teams to establish and support Kyndryl positioning within accounts.

Required Experience:

• An Entrepreneurial Attitude.  We are just beginning to grow our Data and AI offerings, you should be ready to do whatever is necessary to make our team stronger.
• BS, MS, or PhD in Mathematics, Computer Science, or a related field.
• Deep knowledge of Python and the libraries required for data science (Pandas, PyTorch, etc…)
• Ability to articulate the value of your work and frame key decisions for stakeholders that may not have a deep background in data science.
• A collaborative, agile mindset.
• Experience with at least one of Google, AWS, or Azure’s AI and Data Science offerings.

Preferred Experience:

• One of Kyndryl’s key focus areas is on AI for our Financial Services Clients, experience building models or working in finance, healthcare, or manufacturing is a plus.
• Experience with Natural Language Processing (NLP)
• Experience with Large Language Models (LLM)
• Deep experience with the data science offerings of multiple hyperscalers.
• Experience with R and other non-Python Data Science languages
• Previous experience working with sales teams is a plus.

The compensation range for the position in the U.S. is $134,160 to $254,880 based on a full-time schedule.  

Your actual compensation may vary depending on your geography, job-related skills and experience.  For part time roles, the compensation will be adjusted appropriately. The pay or salary range will not be below any applicable state, city or local minimum wage requirement.

There is a different applicable compensation range for the following work locations: 

California:$147,600 to $305,880 

Colorado: $134,160 to $254,880 

New York City: $161,040 to $305,880 

Washington: $147,600 to $280,320 

Washington DC:$147,600 to $280,320 

This position will be eligible for Kyndryl’s discretionary annual bonus program, based on performance and subject to the terms of Kyndryl’s applicable plans. You may also receive a comprehensive benefits package which includes medical and dental coverage, disability, retirement benefits, paid leave, and paid time off.  Note: If this is a sales commission eligible role, you will be eligible to participate in a sales commission plan in lieu of the annual discretionary bonus program.
Applications will be accepted on a rolling basis.

EEO Language 

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.  

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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. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter – wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. 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.

Get Referred!
If you know someone that works at Kyndryl, when asked ‘How Did You Hear About Us’ during the application process, select ‘Employee Referral’ and enter your contact's Kyndryl email address.