Business Data Scientist

Remote • Posted 8 hours ago • Updated 8 hours ago
Contract W2
Contract Independent
6 Months
Remote
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Data Science
  • Machine Learning (ML)
  • Stakeholder Management
  • Machine Learning Operations (ML Ops)
  • Analytical Skill
  • Google Tag Manager (GTM)
  • Data Extraction
  • Business Process
  • business communication
  • Snowflake Cortex ML

Summary

We are seeking a seasoned Business Data Scientist for a critical contractor role on our client s team. The ideal candidate combines strong technical depth with excellent communication skills and has proven experience supporting GTM, marketing, and commercial analytics initiatives. This role requires expertise in engaging with business stakeholders, understanding complex business processes, and collaborating with external data providers.

Title: Business Data Scientist

Duration: 6 months

100% Remote

Key Responsibilities

  • Maintain, enhance, and troubleshoot existing complex machine learning models in production.
  • Partner closely with GTM, marketing, and commercial teams to translate business needs into analytical solutions.
  • Build, refine, and operationalize propensitytobuy, leadscoring, segmentation, and customerlifecycle models.
  • Work with external data providers to evaluate, integrate, and manage thirdparty datasets for marketing and sales use cases.
  • Develop and automate data science workflows using Python and ML Ops best practices.
  • Build and deploy models using Snowflake Cortex ML.
  • Write advanced SQL for data extraction, transformation, and analysis.
  • Use Jupyter Notebooks for exploratory analysis, prototyping, and documentation.
  • Apply core data science and machine learning methodologies to solve GTM and businessdriven problems.

Required Skills & Experience

  • At least 15 years in the field of Data Sciences and analytics.
  • Strong communication and stakeholdermanagement skills.
  • Experience with Snowflake Cortex ML or similar.
  • Advanced SQL proficiency.
  • Strong Python and ML Ops automation experience.
  • Expertise with Jupyter Notebooks.
  • Deep understanding of data science and machine learning fundamentals.
  • Experience working with external data providers and integrating thirdparty datasets.
  • Ability to operate independently in a fastpaced environment with an urgent backfill timeline.
  • Experience with GTM, marketing, and sales teams is a plus
  • Experience with propensity modeling, customer segmentation, and marketing analytics is a plus.

We are an Equal Opportunity Employer

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: RTX1714f1
  • Position Id: BDT_DYN 2026
  • Posted 8 hours ago
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