Advisory Data Scientist

IBM

Confirmed live 2 days ago High trust

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Work type
On-site
Location
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Posted
26 days ago
Freshness
Confirmed live 2 days ago

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How this pay compares to similar roles

Similar $170k
$110k most similar roles pay here $232k

This listing doesn't post a salary. Most similar roles pay $126,800–$213,470.

Based on 240 similar postings.

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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.

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At a glance

TL;DR · Advisory Data Scientist

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Advisory Data Scientist - IBM Quantum The Advisory Data Scientist joins the Data & Analytics Team to generate high-impact insights that inform product strategy and executive decision-making. This role involves designing, building, and scaling analytical models, datasets, and metrics to provide a clear understanding of customer adoption and business outcomes within the quantum computing domain. You will translate complex, multi-source data into actionable findings while developing scalable analytics capabilities for cross-functional teams. Key responsibilities include creating curated dashboards, operationalizing analytical pipelines, and defining standardized KPIs. The role requires proficiency in SQL, Python (including pandas, NumPy, and SciPy), and experience with tools like Airflow, Git, and various BI platforms such as Superset or Tableau. Candidates should possess expertise in statistical methods, dimensional modeling, and analytics engineering best practices to solve complex problems related to quantum device adoption and platform usage.

What does a Data Scientist earn?

Median $162025 from 276 postings across 61 companies.

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Skills

SQL PostgreSQL Presto Trino Python pandas NumPy SciPy Airflow Superset Cognos Analytics Tableau Git IBM watsonx.data Machine Learning Kafka Exploratory Data Analysis (EDA)

What you'll do

  • Analyze complex datasets to uncover trends and patterns regarding quantum device and product adoption.
  • Design and implement scalable, reusable data models and semantic layers to support self-service analytics.
  • Define, standardize, and operationalize key metrics across the organization to ensure consistent performance tracking.
  • Create curated datasets, dashboards, and tools that enable stakeholders to explore data independently.
  • Develop and maintain reliable, reproducible analytical pipelines and workflows for automated insight generation.
  • Translate complex technical requirements from cross-functional teams into actionable analytical solutions.

What we're looking for

  • Master's Degree (preferred).
  • 3+ years of experience in data science, analytics, or analytics engineering roles focusing on complex datasets.
  • Proficiency in SQL for data analysis and transformation.
  • Hands-on experience with Python for data analysis and statistical modeling.
  • Experience designing analytical data models and maintaining production-grade pipelines using tools like Airflow.
  • Experience with data visualization and BI tools to build dashboards for diverse stakeholders.
  • Familiarity with Lakehouse architectures, machine learning workflows, or cloud/distributed data environments (preferred).

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