Data Scientist, Product

IBM

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Work type
On-site
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Posted
24 days ago
Freshness
Confirmed live yesterday

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How this pay compares to similar roles

Similar $171k
$105k most similar roles pay here $232k

This listing doesn't post a salary. Most similar roles pay $126,800–$214,500.

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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TL;DR · Data Scientist, Product

Confluent - Data Scientist - Product serves as a key member of the Data Science team, which functions as the central nervous system for all things data at Confluent. In this role, you will collaborate with product managers and engineers to define the data science roadmap, identify growth opportunities, and measure success metrics for new features. You will utilize quantitative analysis, experimentation, and data mining to influence strategic investment decisions and shape product roadmaps. The position requires proficiency in SQL, Python, and A/B testing, along with experience in causal inference and machine learning. You will also build dashboards using Tableau to provide actionable insights. This role addresses the challenge of managing real-time data infrastructure, specifically focusing on building a cloud-native platform that serves as the intelligent connective tissue for streaming data across organizations.

What does a Data Scientist earn?

Median $162025 from 276 postings across 61 companies.

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What you'll do

  • Define and manage the data science roadmap for specific product areas in collaboration with stakeholders.
  • Establish and measure success metrics for new features and organizational initiatives.
  • Analyze data to identify growth opportunities and inform strategic product decisions.
  • Perform quantitative analysis, experimentation, and data mining to improve the overall product experience.
  • Present actionable insights and recommendations to leadership to shape corporate product strategy.
  • Peer review teammates' work and provide feedback to upskill junior team members.
  • Promote a data-driven culture by sharing best practices and new analytical techniques across the organization.

What we're looking for

  • Master's Degree (preferred).
  • 5+ years of experience in Data Science/Analytics.
  • Strong proficiency in data manipulation using SQL and Python.
  • Experience with A/B testing and experiment best practices.
  • Excellent communication and stakeholder management skills to influence both technical and non-technical partners.
  • Experience in SaaS or Product-led Growth companies (preferred).
  • Proficiency in data visualization, causal inference, machine learning, and other advanced analytical methods (preferred).

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