Data Scientist - Gen & AI - Senior

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Who We Are

At Kyndryl, we design, build, manage, and modernize mission-critical technology systems that the world relies on every day. Why work at Kyndryl? We are constantly moving forward, always striving to create a more equitable and inclusive world for our employees, customers, and communities.

The Role

We are looking for a highly skilled and experienced Data Scientist to join our dynamic team. The ideal candidate will be proficient in analyzing large datasets, developing machine learning models, and extracting actionable insights to drive strategic business decisions. This role involves working closely with cross-functional teams to identify opportunities for leveraging data and implementing solutions that enhance business outcomes.

Responsibilities:

  • Utilize statistical techniques to analyze diverse datasets and uncover meaningful patterns and trends.
  • Develop predictive models and machine learning algorithms to address business challenges.
  • Design and implement data-driven solutions that improve operational efficiency and drive growth.
  • Collaborate with stakeholders to understand business requirements and translate them into analytical solutions.
  • Effectively communicate findings and insights to both technical and non-technical stakeholders.

Who You Are

Requirements:

  • Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.
  • Proven experience as a Data Scientist or a similar role, with a strong portfolio of successful projects.
  • Proficiency in programming languages like Python and R.
  • Experience with cloud platforms (AWS, Azure, GCP) and distributed computing frameworks (Hadoop, Spark, Databricks).
  • Expertise in machine learning techniques, statistical analysis, and data visualization tools.
  • Solid understanding of databases, data mining, and big data technologies.
  • Analytical and problem-solving skills with a strategic mindset.
  • Excellent communication and presentation skills.
  • Fluency in Portuguese and Advanced English are required.

Preferred Qualifications:

  • Knowledge of deep learning frameworks (TensorFlow, PyTorch) and natural language processing (NLP) techniques.
  • Industry certifications in relevant fields (e.g., Certified Analytics Professional - CAP, AWS Certified Machine Learning - Specialty).

Being You

Diversity is much more than how we look or where we come from; it's how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. Our Kyndryl Inclusion Networks are just one of the many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to inclusivity ensures that Kyndryl allows you—and everyone beside you—to bring your whole self to work, individually and collectively. This is the Kyndryl Way.

What You Can Expect

With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate and build new capabilities, relationships, processes, and value. Kyndryl cares about your well-being and prides itself on offering benefits that provide choice, reflect the diversity of our employees, and support you and your family through life's moments that matter. Our employee learning programs offer access to top industry certifications, including Microsoft, Google, Amazon, Skillsoft, and 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 because we want you to succeed so that we can all succeed together.

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.