Data Scientist

Blackline

Hybrid

Quick summary

Work type
Hybrid
Location
—
Posted
8 days ago
Closes
Jun 23, 2027

Market check

Salary context

How this pay compares to similar roles

Similar $158k
$90k most similar roles pay here $213k

This listing doesn't post a salary. Most similar roles pay $126,800–$188,612.

Based on 240 similar postings.

Employer

About Blackline

BlackLine is a cloud-based financial operations management platform that automates and controls the financial close process for enterprises, including account reconciliation, journal entries, and financial reporting. Industry: Financial Technology & Accounting Software

Blackline currently has 21 open roles on FindRole.

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At a glance

TL;DR · Data Scientist

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Join our Product & Technology team as a Data Scientist and help transform complex data into actionable insights, driving innovation in AI and machine learning. You will collaborate with product and engineering leadership to analyze large-scale datasets, extract meaningful trends, and inform strategic decisions. Your responsibilities include guiding ML teams on feature engineering, ensuring robust model development, and enabling high-performance AI systems through optimal context vector design for LLMs. Ideal candidates have a Master’s or Ph.D., 5+ years of experience in data-intensive environments, proficiency with SQL, NoSQL, and graph databases, and hands-on experience with modern data platforms like Snowflake and Google Cloud. Strong analytical skills, innovation mindset, and the ability to communicate technical findings effectively are essential for this role at the forefront of AI-driven product development.

Skills

Python SQL NoSQL Graph databases Snowflake Google Cloud BigQuery Vertex AI AWS Machine Learning Feature Engineering Large Language Models (LLMs) Agentic AI systems Context Construction Embeddings Retrieval Strategies CI/CD

What you'll do

  • Analyze historical datasets to extract longitudinal trends and behavioral patterns.
  • Translate complex data insights into clear, actionable recommendations for product strategy.
  • Guide ML teams in designing feature engineering strategies for robust models.
  • Collaborate with AI teams to design optimal context vectors for LLM-driven systems.
  • Conduct empirical analysis of new business ideas to assess feasibility and impact.
  • Build prototypes and experiments to validate hypotheses quickly using data science techniques.
  • Ensure high-quality, structured data supports performance in AI reasoning and retrieval.

What we're looking for

  • Master’s or Ph.D. in Mathematics, Computer Science, Statistics, or a related field.
  • 5+ years of experience as a Data Scientist or Machine Learning Engineer.
  • Proven ability to derive meaningful insights from large-scale historical data.
  • Strong foundation in machine learning fundamentals and feature engineering.
  • Experience with modern data platforms like Snowflake, Google Cloud, or AWS.
  • Working knowledge of Large Language Models (LLMs) and agentic AI systems.
  • Ability to translate technical findings into clear business narratives.

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