Senior Data Scientist

IBM

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: New York, NY
Salary: $181,800–$211,800 / yr
Posted: 8 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $158k

This role $197k

$91k most similar roles pay here $225k

This role pays more than 77% of similar roles. Most pay $126,800–$189,982 — the shaded band above. At the midpoint, this role pays about $197k versus about $158k for comparable roles.

Based on 240 similar postings.

Employer

About IBM

IBM is a US-based global technology company providing hybrid cloud, AI, consulting, enterprise software, and IT infrastructure products and services.

IBM currently has 506 open roles on FindRole.

Listed pay typically runs $174,632–$197,165 across 5 roles with salary data.

Most-posted roles

View all roles at IBM

At a glance

TL;DR · Senior Data Scientist

Role Posting Log in to save

As a Senior Data Scientist at IBM, you will design, build, and deploy AI and machine learning models to drive enterprise decision making and business value. Your daily responsibilities include sourcing, cleaning, and processing complex datasets, architecting scalable data pipelines, and performing statistical analysis and data visualization to extract actionable insights. You will manage stakeholder relationships by translating business requirements into technical tasks while managing multiple concurrent projects. The role requires proficiency in Python using Pandas, NumPy, and Scikit-learn, as well as the IBM watsonx suite, SQL, and various data pipeline tools. You will utilize Matplotlib, Seaborn, and Cognos for visualization, alongside Git version control and cloud platforms including IBM Cloud, AWS, and Azure. This role focuses on implementing AI solutions across the enterprise to solve complex business problems through advanced modeling.

What does a Data Scientist earn in New York?

Median $173200 from 38 postings across 17 companies.

See salary data

Skills

Python IBM watsonx SQL Pandas NumPy Scikit-learn Machine Learning Statistical Modeling Data Visualization Matplotlib Seaborn Cognos Git Version Control AWS Azure IBM Cloud

What you'll do

Design, build, and deploy AI and machine learning models to drive enterprise decision making.
Source, clean, and process complex datasets to support model development and implementation.
Architect and develop scalable data and model pipelines for seamless system integration.
Apply statistical analysis and Python programming to extract actionable business insights.
Translate stakeholder requirements into technical data science tasks and report on solution performance.
Manage multiple concurrent projects while balancing business needs against time-to-value constraints.
Implement AI solutions across the enterprise using the IBM watsonx suite and related tools.
Uphold data science standards and manage rigorous release processes for organizational innovation.

What we're looking for

A Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field is required.
A Bachelor's degree with five years of progressive experience may be accepted in lieu of a Master's degree.
At least one year of experience as a Data Scientist, Data Analyst, Machine Learning Engineer, or related role is required.
Experience must include using Python (Pandas, NumPy, Scikit-learn), SQL, and the IBM watsonx Suite.
Proficiency in machine learning algorithms, statistical modeling, and data visualization tools like Matplotlib, Seaborn, and Cognos is required.
Experience with data pipeline tools, Git version control systems, and cloud platforms (IBM Cloud, AWS, or Azure) is required.
Ability to design, build, and deploy AI models while managing complex datasets and stakeholder relationships is required.