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Language Data Analyst Jobs in Atlanta, GA (NOW HIRING)

Smarsh

Lead Data Scientist

Atlanta, GA · On-site

Relentless innovation has fueled our journey to consistent leadership recognition from analysts ... You'll work on highly specialized problems at the intersection of natural language processing ...

Cricket Wireless LLC.

Lead Data Scientist

Dallas, GA · On-site

$161 - $270/hr

Create relevant features and conduct exploratory data analysis. Codes solutions following typical ... Coding proficiency required in at least one data science language (Python, R, Scala, etc.), as well ...

AT&T

Lead Data Scientist

Atlanta, GA · On-site

Create relevant features and conduct exploratory data analysis. Codes solutions following typical ... Coding proficiency required in at least one data science language (Python, R, Scala, etc.), as well ...

Grace Hire IT Staffing

Data Engineer (Full-time)

Atlanta, GA · On-site

$110K - $132K/yr

... analytical teams. * Proficiency with SQL and at least one programming language commonly used in data engineering (such as Python, Java, or Scala). * Strong problem-solving skills, attention to detail ...

AT and T

Lead Data Scientist

Atlanta, GA · On-site

$160K - $270K/yr

Create relevant features and conduct exploratory data analysis. Codes solutions following typical ... Coding proficiency required in at least one data science language (Python, R, Scala, etc.), as well ...

United Airlines

Data Scientist

Atlanta, GA · On-site

Analyze complex datasets to identify trends, patterns, anomalies, and actionable insights that ... Experience with Generative AI, Large Language Models (LLMs), and modern AI frameworks. * Experience ...

Home Depot

Data Scientist

Atlanta, GA · On-site

... analytics * Working knowledge of Microsoft Excel and Power Point * Experience in a modern scripting language (preferably Python) * Proficient running queries against data (preferably with Google ...

Omnissa

Senior Data Scientist

Atlanta, GA · On-site +1

$146K - $304K/yr

As a Senior Data Scientist, you will lead and innovate within the data science team to drive ... analyses. * Be an expert in and lead the development of AI/ML solutions based on Large Language ...

Nichiha

Corporate Planning Analyst

Johns Creek, GA · On-site

Initially, the successful candidate will own assigned data aggregation, financial analysis and ... Language & Communication Skills: * Japanese: Business level or higher is mandatory (Native or ...

Nichiha

Corporate Planning Analyst

Johns Creek, GA · On-site

$70 - $100/hr

Initially, the successful candidate will own assigned data aggregation, financial analysis and ... Language & Communication Skills: * Japanese: Business level or higher is mandatory (Native or ...

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Showing results 41-60

All JobsLanguage Data Analyst JobsLanguage Data Analyst Jobs in Atlanta, GA

Language Data Analyst information

See Atlanta, GA salary details

$32.4K

$78.6K

$129.4K

How much do language data analyst jobs pay per year?

As of Sep 4, 2026, the average yearly pay for language data analyst in Atlanta, GA is $78,633.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $92,300.00 per year, depending on experience, location, and employer.

What is a language data analyst?

A Language Data Analyst is responsible for processing, analyzing, and improving linguistic data used in AI, machine learning, or natural language processing (NLP) systems. They work with large datasets, annotate text, evaluate language models, and ensure data quality. The role requires proficiency in one or more languages, strong analytical skills, and familiarity with computational linguistics or data processing tools.

What does a language data analyst do?

A typical day for a Language Data Analyst involves collecting, processing, and annotating language data, performing quality checks, and analyzing linguistic patterns to support the development of language technologies. You might work closely with data scientists, computational linguists, and software engineers to refine datasets and improve language models. The role often requires balancing independent data tasks with collaborative problem-solving within a multicultural team environment. Over time, you may have opportunities to take on project leadership, specialize in certain languages or technologies, and contribute to product innovation.

What are the key skills and qualifications needed to thrive as a language data analyst?

To succeed as a Language Data Analyst, you need strong analytical skills, linguistic expertise, and a relevant degree in linguistics, computer science, or a related field. Familiarity with data analysis tools such as Python, SQL, annotation platforms, and experience with Natural Language Processing (NLP) frameworks is highly valuable. Excellent attention to detail, problem-solving abilities, and clear communication skills help set candidates apart. These competencies are crucial to ensure the accuracy and quality of language data, enabling effective collaboration and insightful analysis in multilingual and multicultural projects.

What are popular job titles related to Language Data Analyst jobs in Atlanta, GA?

For Language Data Analyst jobs in Atlanta, GA, the most frequently searched job titles are:

What job categories do people searching Language Data Analyst jobs in Atlanta, GA look for?

The top searched job categories for Language Data Analyst jobs in Atlanta, GA are:

Language Data Analyst jobs near you
Infographic showing various Language Data Analyst job openings in Atlanta, GA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $78,633 per year, or $37.8 per hour.

Lead Data Scientist

Smarsh

Atlanta, GA • On-site

Full-time

This job post has expired 2 days ago. Applications are no longer accepted.

Job description

Who are we?

Smarsh empowers its customers to manage risk and unleash intelligence in their digital communications. Our growing community of over 6500 organizations in regulated industries counts on Smarsh every day to help them spot compliance, legal or reputational risks in 80+ communication channels before those risks become regulatory fines or headlines.  Relentless innovation has fueled our journey to consistent leadership recognition from analysts like Gartner and Forrester, and our sustained, aggressive growth has landed Smarsh in the annual Inc. 5000 list of fastest-growing American companies since 2008.

Summary
 
As a Lead Data Scientist (NLP & Financial Compliance) at Smarsh, you will spearhead the development of state-of-the-art natural language processing (NLP) and large language model (LLM) solutions that power next-generation compliance and surveillance systems. You'll work on highly specialized problems at the intersection of natural language processing, communications intelligence, financial supervision, and regulatory compliance, where unstructured data from emails, chats, voice transcripts, and trade communications hold the keys to uncovering misconduct and risk.
 
The role will involve working with other Senior Data Scientists and mentoring Associate Data Scientists in analyzing complex data, generating insights, and creating solutions as needed across a variety of tools and platforms. This role demands both technical excellence in NLP modeling and a deep understanding of financial domain behavior-including insider trading, market manipulation, off-channel communications, MNPI, bribery, and other supervisory risk areas. The ideal candidate for this position will possess the ability to perform both independent and team-based research and generate insights from large data sets with a hands-on/can do attitude of servicing/managing day to day data requests and analysis.
 
This role also offers a unique opportunity to get exposure to many problems and solutions associated with taking machine learning and analytics research to production. On any given day, you will have the opportunity to interface with business leaders, machine learning researchers, data engineers, platform engineers, data scientists and many more, enabling you to level up in true end-to-end data science proficiency.
How will you contribute?
  • Collect, analyze, and interpret small/large datasets to uncover meaningful insights to support the development of statistical methods / machine learning algorithms.
  • Lead the design, training, and deployment of NLP and transformer-based models for financial surveillance and supervisory use cases (e.g., misconduct detection, market abuse, trade manipulation, insider communication).
  • Development of machine learning models and other analytics following established workflows, while also looking for optimization and improvement opportunities
  • Data annotation and quality review 
  • Exploratory data analysis and model fail state analysis 
  • Contribute to model governance, documentation, and explainability frameworks aligned with internal and regulatory AI standards.
  • Client/prospect guidance in machine learning model and analytic fine-tuning/development processes
  • Provide guidance to junior team members on model development and EDA
  • Work with Product Manager(s) to intake project/product requirements and translate these to technical tasks within the team's tooling, technique and procedures
  • Continued self-led personal development
What will you bring?
  • Strong understanding of financial markets, compliance, surveillance, supervision, or regulatory technology
  • Experience with one or more data science and machine/deep learning frameworks and tooling, including scikit-learn, H2O, keras, pytorch, tensorflow, pandas, numpy, carot, tidyverse
  • Command of data science and statistics principles (regression, Bayes, time series, clustering, P/R, AUROC, exploratory data analysis etc...)
  • Strong knowledge of key programming concepts (e.g. split-apply-combine, data structures, object-oriented programming)
  • Solid statistics knowledge (hypothesis testing, ANOVA, chi-square tests, etc...)
  • Knowledge of NLP transfer learning, including word embedding models (gloVe, fastText, word2vec) and transformer models (Bert, SBert, HuggingFace, and GPT-x etc.)
  • Experience with natural language processing toolkits like NLTK, spaCy, Nvidia NeMo
  • Knowledge of microservices architecture and continuous delivery concepts in machine learning and related technologies such as helm, Docker and Kubernetes
  • Familiarity with Deep Learning techniques for NLP.
  • Familiarity with LLMs - using ollama & Langchain
  • Excellent verbal and written skills
  • Proven collaborator, thriving on teamwork
 
Preferred Qualifications
  • Master's or Doctor of Philosophy degree in Computer Science, Applied Math, Statistics, or a scientific field
  • Familiarity with cloud computing platforms (AWS, GCS, Azure)
  • Experience with automated supervision/surveillance/compliance tools
$180,000 - $200,000 a year
 
The above salary range represents Smarsh's good faith and reasonable estimate of the range of possible base compensation at the time of posting. Any applicable bonus programs will be discussed during the recruiting process.
 
The salary for this role will be set based on a variety of factors, including but not limited to, internal equity, experience, education, location, specialty and training.
 
Local cost of living assessments are done for each new hire at the time of offer.
About our culture

Smarsh hires lifelong learners with a passion for innovating with purpose, humility and humor. Collaboration is at the heart of everything we do. We work closely with the most popular communications platforms and the world's leading cloud infrastructure platforms. We use the latest in AI/ML technology to help our customers break new ground at scale. We are a global organization that values diversity, and we believe that providing opportunities for everyone to be their authentic self is key to our success. Smarsh leadership, culture, and commitment to developing our people have all garnered Comparably.com Best Places to Work Awards. Come join us and find out what the best work of your career looks like.
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