Senior Data Scientist

IBM; New York (NY); Hybrid; USD 182,000 - 212,000; Full time

Benefits offered by this job

Competitive compensation

Excellent health benefits

Professional development

Job summary

IBM Corporation in New York, NY is hiring a Senior Data Scientist to design, build, and deploy AI/ML models that drive enterprise value. You will source and clean complex data, architect scalable pipelines, and collaborate with stakeholders to translate business needs into data science tasks.

The role requires a Master’s degree (or equivalent) and 1 year of relevant experience with Python, IBM watsonx Suite, SQL, and data visualization tools. Up to 40% telecommuting is permitted.

Qualifications

• Master’s degree or equivalent in Computer Science, Data Science, Statistics, Mathematics, Engineering or related; Bachelor's + 5 years may substitute.
• 1 year of experience as a Data Scientist/Analyst/ML Engineer or related; must include Python, IBM watsonx Suite, SQL, Data Pipeline Tools, ML algorithms, statistical modeling, visualization tools, and Git.

Responsibilities

• Design, build, and deploy AI/ML models for enterprise decision making.
• Source, clean, and process complex datasets for model development.
• Architect scalable data/model pipelines; ensure integration with existing systems.
• Apply statistics and data visualization to extract actionable insights.
• Manage stakeholder requirements and report on solution design and performance.

Skills

Python

Pandas

NumPy

Scikit-learn

SQL

Data pipelines

IBM watsonx

Git

Data visualization

Education

Master’s degree in CS/DS/Math/Engineering

Tools

IBM watsonx Suite

Data Pipeline Tools

Git & Version Control

Cloud Platforms (IBM Cloud/AWS/Azure)

Job description

Senior Data Scientist, IBM Corporation, New York, NY (Up to 40% telecommuting permitted):

• Design, build, and deploy AI and machine learning models that drive enterprise decision making and business value.
• Source, clean, and process complex datasets to support model development and implementation.
• Develop and architect scalable data/model pipelines ensuring seamless integration with existing systems.
• Apply statistical analysis, data visualization techniques, and Python programming to extract actionable insights.
• Manage stakeholder relationships, including sourcing business requirements, their translation into data science tasks, as well as to report solution design and performance.
• Manage multiple concurrent projects while making informed trade-offs between business needs and time-to-value.
• Drive rigorous release management processes and uphold data science standards within the organization as well as maintain domain awareness, share expertise, and innovate, including IP responsibility.
• Utilize IBM watsonx suite and related tools to implement AI solutions across the enterprise.
• Utilize: Python (Pandas, NumPy, Scikit-learn), IBM watsonx Suite, SQL, Data Pipeline Tools, Machine Learning Algorithms, Statistical Modeling, Data Visualization Tools (Matplotlib, Seaborn, Cognos), Git and Version Control Systems, Cloud Computing Platforms (IBM Cloud, AWS, Azure).

Required: Master’s degree or equivalent in Computer Science, Data Science, Statistics, Mathematics, Engineering or related (employer will accept a Bachelor's degree plus five (5) years of progressive experience in lieu of a Master’s degree) and one (1) year of experience as a Data Scientist, Data Analyst, Machine Learning Engineer or related. One (1) year of experience must include utilizing Python (Pandas, NumPy, Scikit-learn), IBM watsonx Suite, SQL, Data Pipeline Tools, Machine Learning Algorithms, Statistical Modeling, Data Visualization Tools (Matplotlib, Seaborn, Cognos), Git and Version Control Systems, Cloud Computing Platforms (IBM Cloud, AWS, Azure). $181800 to $211800 per year. SN181. Full time.

Required education

Master's Degree

Required technical and professional expertise

Master’s degree or equivalent in Computer Science,Data Science,Statistics,Mathematics,Engineering or related (employer will accept a Bachelor's degree plus five (5) years of progressive experience in lieu of a Master’s degree) and one (1) year of experience as a Data Scientist, Data Analyst, Machine Learning Engineer or related.One (1) year of experience must include utilizing Python (Pandas, NumPy, Scikit-learn),IBM watsonx Suite, SQL, Data Pipeline Tools, Machine Learning Algorithms, Statistical Modeling, Data Visualization Tools (Matplotlib, Seaborn, Cognos), Git and Version Control Systems, Cloud Computing Platforms (IBM Cloud, AWS, Azure).

YOUR LIFE @ IBM

In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better.

Being an IBMer means you’ll be able to learn and develop yourself and your career, you’ll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.

Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.

Are you ready to be an IBMer?

ABOUT IBM

IBM’s greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.

Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we’re also one of the biggest technology and consulting employers, with many of the Fortune 500 companies relying on the IBM Cloud to run their business.

At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it’s time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.

IBM is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

OTHER RELEVANT JOB DETAILS

IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to:

• Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being
• Financial programs such as 401(k), the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs
• Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law
• Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals
• Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences

We consider qualified applicants with criminal histories, consistent with applicable law.

The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.