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Machine Learning Data Linguist Jobs in Missouri (NOW HIRING)

Varsity Tutors

Machine Learning Tutor

Kansas City, MO · Remote

$18 - $40/hr

Guides students through data preprocessing, feature selection, building and comparing ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Tiger Analytics, LLC

Senior Data Scientist

Saint Louis, MO · On-site

$90 - $120/hr

Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from ...

Varsity Tutors

Machine Learning Tutor

Columbia, MO · Remote

$18 - $40/hr

Guides students through data preprocessing, feature selection, building and comparing ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Saint Louis, MO · Remote

$18 - $40/hr

Guides students through data preprocessing, feature selection, building and comparing ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

iHerb

Principal Machine Learning Engineer

California, MO · On-site

$205 - $230/hr

Partner with the Data Platform team in a two-way exchange of best practices. * Adopt common patterns and build effective abstractions across different machine learning pipelines that simplify ...

Jobtailor

Principal Applied Scientist

California, MO · On-site

$180 - $280/hr

Mentors data scientists, machine learning engineers, researchers, and technical leaders Requirements * Requires an MS or PhD in Computer Science, Machine Learning, Statistics, Applied Mathematics ...

Walmart

(USA) Director, Data Science

Noel, MO · On-site

$130K - $260K/yr

The (USA) Director, Data Science leads the development and execution of advanced data science ... This role oversees the design, testing, and deployment of machine learning models and analytical ...

Walmart

(USA) Director, Data Science

Anderson, MO · On-site

$130K - $260K/yr

The (USA) Director, Data Science leads the development and execution of advanced data science ... This role oversees the design, testing, and deployment of machine learning models and analytical ...

Walmart

(USA) Director, Data Science

Cassville, MO · On-site

$130K - $260K/yr

The (USA) Director, Data Science leads the development and execution of advanced data science ... This role oversees the design, testing, and deployment of machine learning models and analytical ...

Jobtailor

Data Science Engineer

California, MO · On-site

$120 - $170/hr

Understanding of machine learning techniques, specifically involving supervised learning applied to time-series analysis * Proficiency with data visualization tools (e.g. Power BI, Tableau)

6AM City, LLC

Machine Learning Engineer

California, MO · On-site

$110 - $170/hr

As a Machine Learning Integration Engineer, you will help rapidly prototype, mature, and monitor ML/CV solution that are integral to Turion's Space Domain Awareness data products. You will work on ...

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Machine Learning Data Linguist information

What is a machine learning data linguist?

A Machine Learning Data Linguist is a specialist who works at the intersection of linguistics and artificial intelligence. They are responsible for annotating, curating, and analyzing language data to train and improve machine learning models, especially those focused on natural language processing (NLP). Their work often includes tasks like labeling text, refining speech recognition data, and ensuring that language models understand context, grammar, and cultural nuances. This role is essential in developing accurate and inclusive AI systems that interact with human language.

How does a machine learning data linguist typically collaborate with engineers and data scientists on projects?

A Machine Learning Data Linguist works closely with engineers and data scientists by providing linguistic insights and ensuring that language data is accurately annotated and interpreted. They often participate in cross-functional meetings to define project goals, clarify annotation guidelines, and review model outputs for linguistic quality. This collaboration helps bridge the gap between technical development and language-specific nuances, leading to more effective and culturally accurate machine learning models. Effective communication and a strong understanding of both linguistic theory and technical requirements are vital in this collaborative environment.

What are the key skills and qualifications needed to thrive as a machine learning data linguist, and why are they important?

To thrive as a Machine Learning Data Linguist, you need expertise in linguistics, data annotation, and a strong understanding of language structures, often supported by a degree in linguistics or computational linguistics. Familiarity with annotation tools, data labeling platforms, and programming languages like Python is typically required. Strong attention to detail, analytical thinking, and clear communication are essential soft skills for accurately interpreting and conveying linguistic phenomena. These skills ensure high-quality language data, which is critical for developing effective and unbiased machine learning models.

What are popular job titles related to Machine Learning Data Linguist jobs in Missouri?

For Machine Learning Data Linguist jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Machine Learning Data Linguist jobs in Missouri look for?

The top searched job categories for Machine Learning Data Linguist jobs in Missouri are:

What cities in Missouri are hiring for Machine Learning Data Linguist jobs?

Cities in Missouri with the most Machine Learning Data Linguist job openings:

Machine Learning Data Linguist jobs near you

Senior Data Scientist

Tiger Analytics Inc.

Saint Louis, MO • On-site

Full-time

Re-posted 20 days ago

Job description

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.
As a Data Scientist you will be at the forefront of solving high-impact business problems using advanced machine learning, data engineering, and analytics solutions. The role demands a balanced mix of technical expertise, stakeholder management. You will design and analyze A/B tests and apply advanced techniques such as causal inference, matching models, and AutoML to generate reliable, actionable insights. Partnering closely with business and cross-functional teams, you will translate hypotheses into robust analytical models, validate outcomes with statistical rigor, and clearly communicate results to drive data-backed decision-making and measurable business value.
Key Responsibilities
  • Apply statistical techniques and machine learning methods to solve complex business problems.
  • Build, validate, and deploy predictive and analytical models using Python.
  • Perform data extraction, transformation, and analysis using SQL across large datasets.
  • Work on causal inference techniques such as causal ML, matching models, or uplift modeling to evaluate business interventions.
  • Collaborate with product, business, and engineering teams to translate requirements into scalable data solutions.
  • Present insights, findings, and recommendations clearly to technical and non-technical stakeholders.
  • Ensure data quality, model performance, and continuous improvement of analytical workflows.

Requirements
  • 8 years of experience in data science and ML models
  • Hands-on expertise in Python and SQL for data analysis and modelling.
  • In-depth experience with A/B testing or similar methodologies such as Causal ML, Matching Models, or Auto ML.
  • Strong problem-solving skills with the ability to work independently on end-to-end data science projects.
  • Excellent communication skills and stakeholder management experience.
  • Solid understanding of regression, classification, and statistical methods

Benefits
This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

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