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Contract Google Data Science Jobs in Missouri (NOW HIRING)

Dive directly into Google Cloud Platform (GCP) to cleanly join and structure mobile, customer ... Experience: 7+ years of experience in Data Science, Product Analytics, or Applied Machine Learning ...

Data Science Tutor

Kansas City, MO · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Data Science Tutor

Columbia, MO · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Data Science Tutor

Saint Louis, MO · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Paid Digital Media Lead

Town And Country, MO · On-site +1

$85K - $110K/yr

... Google and Meta, and partnering closely with data science, IT, and operations to push demand generation forward. This is a role for someone who is equally comfortable in a reporting dashboard, a ...

... Google and Meta, and partnering closely with data science, IT, and operations to push demand generation forward. This is a role for someone who is equally comfortable in a reporting dashboard, a ...

Data Scientist

Chesterfield, MO · On-site

$110 - $150/hr

  • Medical

  • Retirement

  • PTO

Minimum MS degree in Economics, Agricultural Economics, Statistics, Computer Science, Quantitative ... Experience with big data technologies and cloud-based data platforms and products (e.g., Google ...

New

Data Scientist

Chesterfield, MO · On-site

  • Medical

  • Retirement

  • PTO

Preferred Experience/Skills: • 5+ years of industry work experience in Data Science fields. • ... Google Cloud Platform, AWS). • Familiarity with MLOps practices for deploying, monitoring, and ...

Data Scientist

Chesterfield, MO · On-site +1

  • Medical

  • Retirement

  • PTO

Minimum MS degree in Economics, Agricultural Economics, Statistics, Computer Science, Quantitative ... Experience with big data technologies and cloud-based data platforms and products (e.g., Google ...

Data Scientist

Chesterfield, MO · On-site +1

  • Medical

  • Retirement

  • PTO

Minimum MS degree in Economics, Agricultural Economics, Statistics, Computer Science, Quantitative ... Experience with big data technologies and cloud-based data platforms and products (e.g., Google ...

Data Scientist

Saint Louis, MO · On-site

$140K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Contract Job ID: 178873 Job Overview: We are seeking a highly skilled and motivated Data Scientist to join our team. The ideal candidate will have a strong background in data analysis, machine ...

Data Scientist

California, MO · On-site

$120 - $180/hr

  • Medical

  • Dental

  • Vision

We're a team of researchers, academics, builders, and creatives from UC Berkeley, Google, Stanford ... You'll have * 3+ years of experience in data science, analytics, or experimentation (or equivalent ...

Data Scientist Remote 12 Month Contract to hire Data Scientist - Profile Overview This is a data foundation-heavy Data Scientist role with strong overlap into Data Engineering. What the client is ...

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Contract Google Data Science information

What is the difference between Contract Google Data Science vs Contract Data Analyst?

AspectContract Google Data ScienceContract Data Analyst
Required CredentialsBachelor's/Master's in Data Science, Computer Science, or related field; experience with machine learning and programming languages like Python or RBachelor's in Statistics, Data Analysis, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentProject-based, often in tech or digital companies, with focus on predictive modeling and data-driven solutionsBusiness or marketing environments, focusing on reporting, data cleaning, and descriptive analysis
Employer & Industry UsageTech giants, consulting firms, and startups hiring for data science projectsRetail, finance, healthcare, and other industries requiring data reporting and insights

Contract Google Data Science roles typically involve advanced analytics, machine learning, and programming, whereas Contract Data Analyst positions focus on data reporting, cleaning, and visualization. Both roles require strong analytical skills but differ in technical complexity and project scope.

What are popular job titles related to Contract Google Data Science jobs in Missouri?

For Contract Google Data Science jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Contract Google Data Science jobs in Missouri look for?

The top searched job categories for Contract Google Data Science jobs in Missouri are:

What cities in Missouri are hiring for Contract Google Data Science jobs?

Cities in Missouri with the most Contract Google Data Science job openings:

Data Scientist - Conversational AI

Jobtailor

Dearborn, MO • On-site

$120 - $150/hr

Other

Posted 11 days ago


Job description

  • NLP & Utterance Analysis: Leverage Natural Language Processing (NLP) and machine learning to categorize and cluster raw user utterances. Perform sentiment analysis on unstructured text logs to extract actionable product insights.
  • AI Response Evaluation & Experimentation: Design methodologies to evaluate the helpfulness, accuracy, and relevance of the AI’s responses. Design and analyze A/B tests to measure the impact of prompt adjustments, model updates, and new feature rollouts.
  • Data Integration & Sanitization: Dive directly into Google Cloud Platform (GCP) to cleanly join and structure mobile, customer support, and vehicle data into robust "Analytical Sandboxes," ensuring strict adherence to data privacy and PII handling standards.
  • Problem Framing & Metric Definition: Act as a strategic partner to Product Managers. Challenge assumptions and define core conversational metrics (e.g., task success rates, user engagement, support deflection).
  • Advanced Visualization & Self-Service: Design, build, and maintain highly intuitive, narrative-driven dashboards using Looker and PowerBI to empower the product team to answer their own day-to-day questions.
  • Bridge the Mobile-to-IVI Gap: Act as the analytical bridge as our digital assistant expands from the Ford app into the vehicle, standardizing mobile data against our emerging in-vehicle data contracts.

Requirements

  • Education: A Master's Degree in a quantitative, technical, or related field (e.g., Data Science, Computer Science, Statistics).
  • Experience: 7+ years of experience in Data Science, Product Analytics, or Applied Machine Learning.
  • "Full-Stack" Capability: Demonstrated ability to act as a bridge between Data Science, Engineering, and Product—taking raw telemetry, applying statistical/ML models, and transforming it into business insights without relying on a central data team for every step.
  • Applied ML & LLM Analytics: Proficiency in Python or R with hands‑on experience in text analytics, clustering, and categorization. Familiarity with LLM evaluation techniques (e.g., prompt effectiveness, hallucination tracking, human-in-the-loop feedback).
  • Expert‑Level SQL & GCP: Highly proficient in writing complex, optimized SQL (Window Functions, CTEs, handling JSON/Nested Data) within Google Cloud Platform (BigQuery) to structure datasets independently.
  • Advanced Visualization: Deep expertise in building scalable business intelligence solutions, semantic layers, and executive‑facing dashboards in Looker and PowerBI.
  • Experimentation: Strong grasp of statistics and experience designing and measuring A/B tests in a product environment.
  • Analytics as Code: Experience with version control (e.g., Git, GitHub) and working in environments where analytics changes go through a formal peer‑review process.
  • Strategic Problem Solving: Comfortable navigating complex, multi‑source data environments. You view data integration as a puzzle to be solved and a strategic enabler for the business.

Core Competencies

Demonstrates expertise in Natural Language Processing, Applied Machine Learning, and Data Analytics, with a strong focus on building advanced visualizations and conducting A/B testing to drive product insights. Proficient in SQL and Google Cloud Platform, capable of integrating and structuring complex datasets while ensuring data privacy standards.

Highest‑signal resume keywords

  • Natural Language Processing
  • Applied Machine Learning
  • Expert‑Level SQL
  • Google Cloud Platform
  • Advanced Visualization

ATS Optimization Keywords

Hard Skills

  • Natural Language Processing
  • Machine Learning
  • SQL
  • Python
  • R
  • Data Analytics
  • A/B Testing
  • Text Analytics
  • Clustering
  • Data Integration

Soft Skills

  • Strategic Problem Solving
  • Collaboration

Industry Keywords

  • Data Science
  • Product Analytics
  • Sentiment Analysis
  • Data Privacy
  • PII Handling

Tools & Technologies

  • Google Cloud Platform
  • Looker
  • PowerBI
  • Git
  • GitHub
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