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Operation Research Data Scientist Jobs in Decatur, GA

Smarsh

Lead Data Scientist

Atlanta, GA · Remote

$180K - $200K/yr

Summary As a Lead Data Scientist (NLP & Financial Compliance) at Smarsh , you will spearhead the ... based research and generate insights from large data sets with a hands-on/can do attitude of ...

Smarsh

Lead Data Scientist

Atlanta, GA

Summary As a Lead Data Scientist (NLP & Financial Compliance) at Smarsh , you will spearhead the ... based research and generate insights from large data sets with a hands-on/can do attitude of ...

nLeague Services Inc

Data Scientist

Atlanta, GA · On-site

Data Strategy & Research: Research and propose cutting-edge data science techniques and ... Work with stakeholders across various departments (e.g., marketing, finance, operations) to ...

ResultStack

Sr. Data Scientist

Atlanta, GA · On-site

Must be a US Citizen or Hold a Green Card ABOUT THE ROLE We are looking to hire a Data Scientist ... Having Hands-On experience with LLM's, NLP, computer vision, or operations research applied to real ...

Xforia, Inc.

Data Scientist

Atlanta, GA · On-site

... researchers, to identify opportunities, design solutions, and deliver high-impact projects that ... data scientists and contribute to the growth and development of the data science team. • ...

The Coca-Cola Company

Senior Data Scientist

Atlanta, GA · On-site

Bachelor's or Master's degree in a quantitative field, such as Data Science, Statistics, Computer Science, Economics, Finance, Mathematics, Operations Research or other quantitative discipline. Ph.D ...

Stord

Lead Data Scientist

Atlanta, GA · On-site

Integrate external research and capabilities into real-world operational testing within fulfillment workflows. Basic Qualifications: * Master's degree or PhD in Data Science, Operations Research ...

Stord

Lead Data Scientist

Atlanta, GA

Integrate external research and capabilities into real-world operational testing within fulfillment workflows. Basic Qualifications: * Master's degree or PhD in Data Science, Operations Research ...

Sonatype

Data Scientist

Atlanta, GA · On-site +1

Learn more at www.sonatype.com The Role We're looking for a Data Scientist to join our growing AI ... Lead the research, development, and deployment of models for use cases such as malicious behavior ...

Crew Career Center

Data Scientist

Atlanta, GA

... Research or Pricing as appropriate. May be internal operations-focused or external client-focused ... The data scientist role involves solving technical, data-driven Healthcare problems using computer ...

Charter Global

Data Scientist

Atlanta, GA · Remote

Data Scientist Location: Atlanta, GA / Dallas, TX Duration: 12+ Months Oversees and performs end ... Defines the data analytics research plan, scope and resources required to meet the objectives of ...

Patientco

Data Scientist

Atlanta, GA

... Research or Pricing as appropriate. May be internal operations-focused or external client-focused ... The data scientist role involves solving technical, data-driven Healthcare problems using computer ...

CRH

Data Scientist

Atlanta, GA · On-site

Working with a combination of internal operational data, external market intelligence, and project ... The team uses data, research, and scenario analysis to support fact-based discussions and provide a ...

Charter Global

Data Scientist

Atlanta, GA · On-site

Data Scientist Location: Atlanta, GA / Dallas, TX Duration: 12+ Months • Oversees and performs ... top-end data based research. Design data mining solutions to be implemented and executed with ...

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Showing results 21-40

All JobsOperation Research Data Scientist JobsOperation Research Data Scientist Jobs in Decatur, GA

Operation Research Data Scientist information

See Decatur, GA salary details

$36.6K

$119.8K

$191.8K

How much do operation research data scientist jobs pay per year?

As of Aug 21, 2026, the average yearly pay for operation research data scientist in Decatur, GA is $119,834.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,200.00 and $132,800.00 per year, depending on experience, location, and employer.

What is an operation research data scientist?

An Operations Research Data Scientist is a professional who combines advanced analytical, statistical, and mathematical modeling techniques to solve complex business problems and optimize processes. They utilize tools from operations research, such as linear programming, simulation, and optimization algorithms, alongside data science skills like machine learning and data analysis. Their goal is to help organizations make data-driven decisions that improve efficiency, reduce costs, and enhance overall performance.

How do operation research data scientists typically collaborate with cross-functional teams to implement data-driven solutions?

Operation Research Data Scientists often work closely with colleagues from engineering, product management, and business analytics to translate complex mathematical models into actionable strategies. They participate in regular meetings to align on project goals, share analytical findings, and integrate optimization algorithms into existing systems. Collaboration involves clear communication of technical concepts to non-technical stakeholders and iteratively refining solutions based on feedback, ensuring that their work delivers tangible value to organizational objectives.

What are the key skills and qualifications needed to thrive as an operation research data scientist, and why are they important?

To thrive as an Operations Research Data Scientist, you need a solid background in mathematics, statistics, optimization, and computer science, often supported by an advanced degree in a quantitative field. Proficiency with programming languages such as Python or R, experience with optimization libraries (like Gurobi or CPLEX), and familiarity with data analysis platforms are typically required. Strong problem-solving abilities, communication skills, and business acumen set standout professionals apart in this role. These competencies are crucial for developing actionable solutions to complex business problems and effectively communicating insights to stakeholders.

What are popular job titles related to Operation Research Data Scientist jobs in Decatur, GA?

For Operation Research Data Scientist jobs in Decatur, GA, the most frequently searched job titles are:

What job categories do people searching Operation Research Data Scientist jobs in Decatur, GA look for?

The top searched job categories for Operation Research Data Scientist jobs in Decatur, GA are:

What cities near Decatur, GA are hiring for Operation Research Data Scientist jobs?

Cities near Decatur, GA with the most Operation Research Data Scientist job openings:

Operation Research Data Scientist jobs near you
Infographic showing various Operation Research Data Scientist job openings in Decatur, GA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 2% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $119,834 per year, or $57.6 per hour.

Lead Data Scientist

Smarsh

Atlanta, GA • Remote

$180K - $200K/yr

Full-time

Re-posted 4 days ago

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
 
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.