Data Scientist

Key Skills

Java Programming, Python Programming, SQL, PowerBI, Machine learning techniques, Data science techniques, AI technology, R Programming, Statistics, Linear Algebra

Job Description

Data Scientist

Location(s) Austin, Texas; Rochester, New York; Sterling Forest, New York; Atlanta, Georgia; Southbury, Connecticut; Dallas, Texas; Hazelwood, Missouri; Boulder, Colorado; Chicago, Illinois; Lexington, Kentucky; Washington, DC; Columbus, Ohio; Smyrna, Georgia; Buffalo, New York; Iselin, New Jersey; Poughkeepsie, New York; Rochester, Minnesota; Research Triangle Park, North Carolina; Bentonville, Arkansas; Columbia, Missouri; Irving, Texas; Lewisville, Texas; New York, New York; Richardson, Texas; Midland, Michigan; Honolulu, Hawaii; Phoenix, Arizona

Why Kyndryl

The IBM Finance organization is responsible for driving enterprise performance and transformation. We are the financial stewards of IBM, delivering IBM’s financial strategy, developing new business models, and mitigating enterprise risk. Do you have a passion for creating business value? Join our team in accounting, financial planning, pricing, business controls, tax, treasury, business development (acquisitions & divestitures), and global financing.

Your Role and Responsibilities

This development role within Kyndryl’s Real Estate and Data Center Services (RDC) organization will help shape the team’s Data Science practice through the development, testing and deployment of advanced data products that combine sound statistics and quantitative methods with modern technology tools to model, measure and predict critical business processes to optimize operational performance.

Working along-side a team of Product Owners, Data Analysts, Data Engineers and our CIO organization, the successful candidate will excel at summarizing and presenting findings to non-technical business stakeholders across the organization.

Responsibilities

• Identify valuable data sources and automate collection processes
• Undertake preprocessing of structured and unstructured data
• Analyze large amounts of information to discover trends and patterns
• Build predictive models and machine-learning algorithms
• Combine models through ensemble modeling
• Present information using data visualization techniques
• Propose solutions and strategies to business challenges
• Collaborate with engineering and product development teams

Qualifications

• BSc/BA in Statistics, Math, Analytics or relevant field; Data Science experience a plus
• Analytical mind and strong business acumen
• Strong math skills (e.g. statistics, algebra)
• Knowledge of R, SQL and Python;
• Experience using business intelligence tools (e.g. Microsoft PowerBI)
• Understanding of machine-learning and operations research
• Problem-solving aptitude
• Excellent communication and presentation skills
• Experience in data mining
• Preferred Technical and Professional Experience
• Exposure to AI/ML technologies

Required Education: Bachelor's Degree

Preferred Education: Master's Degree

Being You @ Kyndryl

Kyndryl is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics. Kyndryl is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

Other things to know

When applying to jobs of your interest, we recommend that you do so for those that match your experience and expertise. Our recruiters advise that you apply to not more than 3 roles in a year for the best candidate experience.

For additional information about location requirements, please discuss with the recruiter following submission of your application.

• Primary Job Category: Software Development & Support
• Role (Job Role): Software Developer
• Employment Type: Full-Time
• Contract Type: Regular
• Position Type: Early Professional
• Travel Required: Some travel may be required based on business demand
• Company: (Y078) Kyndryl, Inc.
• Is this role a commissionable / sales incentive based position: No