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Associate Scientist Jobs in Decatur, GA (NOW HIRING)

Smarsh

Lead Data Scientist

Atlanta, GA · Remote

$180K - $200K/yr

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 ...

Smarsh

Lead Data Scientist

Atlanta, GA · On-site

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 ...

Elevance Health

Research Scientist Senior

Atlanta, GA · On-site +1

$94K - $120K/yr

Research Scientist Senior Research Scientist Senior This role requires associates to be in-office 1 - 2 days per week, fostering collaboration and connectivity, while providing flexibility to support ...

Elevance Health

Research Scientist Senior

Atlanta, GA · On-site +1

$94K - $120K/yr

Research Scientist Senior This role requires associates to be in-office 1 - 2 days per week, fostering collaboration and connectivity, while providing flexibility to support productivity and work ...

State Farm

Lead Data Scientist - Gen AI

Dunwoody, GA

Establish and leverage a network of associates with business domain and data expertise * Instill a ... Our Data Scientists also embrace staying current with the evolving data science landscape. The ...

Home Depot

Senior Data Scientist - MET

Atlanta, GA · On-site

... associate experience. This role focuses on building industry-leading Agentic AI capabilities and deploying Data Science models at scale for MET operations. Based on the specific data science project ...

Munich RE

Data Scientist

Atlanta, GA · On-site

Headquartered in Amelia, Ohio, and with associates located across the United States, we are part of ... Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ...

4P Consulting Inc.

DATA SCIENTIST

Forest Park, GA · On-site

A Data Scientist with 5 to 10 years of experience is responsible for leveraging data to uncover insights, create predictive models, and drive data-driven decision- making within an organization.

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All JobsAssociate Scientist JobsAssociate Scientist Jobs in Decatur, GA

Associate Scientist information

See Decatur, GA salary details

$18

$35

$56

How much do associate scientist jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for associate scientist in Decatur, GA is $35.07, according to ZipRecruiter salary data. Most workers in this role earn between $27.21 and $39.90 per hour, depending on experience, location, and employer.

What does an associate scientist do?

An Associate Scientist is a professional who supports research and development projects, typically in fields like biotechnology, pharmaceuticals, or environmental science. They conduct experiments, analyze data, and document results under the supervision of senior scientists. Associate Scientists play a key role in advancing scientific knowledge and product development by performing laboratory tasks, maintaining equipment, and following established protocols. Their work contributes to discoveries, quality control, and regulatory compliance within their organization.

What is an associate scientist?

An associate scientist takes on more responsibilities than an assistant scientist, supporting research and each experiment under the lead scientist, often in a laboratory environment. As an associate scientist, there are many industries you can work in, including the research field where the lead scientist oversees your project, and you help author papers. Many pharmaceutical companies hire associate scientists to analyze samples to develop drugs and assist with preclinical and clinical studies. Private companies need you to produce specialty chemicals for their clients. Materials scientists at the associate level conduct research and test the properties of metals, plastics, and other materials for their use in new products and packaging. Some positions have duties that include training other team members and overseeing students and fellows.

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

To thrive as an Associate Scientist, you generally need a bachelor’s or master’s degree in a relevant scientific field, along with strong analytical and laboratory skills. Familiarity with laboratory information management systems (LIMS), data analysis software, and standard operating procedures (SOPs) is often required. Attention to detail, problem-solving abilities, and effective teamwork are vital soft skills that distinguish top performers. These skills ensure accurate data collection, reliable experimental outcomes, and productive collaboration within research or product development teams.

What are some common challenges an associate scientist might face when transitioning from academia to industry?

Associate Scientists moving from academia to industry often encounter challenges such as adapting to a faster-paced environment and focusing on project-driven outcomes rather than open-ended research. In industry, there is a stronger emphasis on teamwork, meeting strict deadlines, and following standardized protocols. Adjusting to these expectations, learning new technologies, and effectively communicating results to cross-functional teams are key areas where new hires may need support.

What is the difference between Associate Scientist vs Research Scientist?

AspectAssociate ScientistResearch Scientist
Required CredentialsBachelor's or Master's degree in a relevant field; some roles may require a PhDTypically a Master's or PhD in a related discipline
Work EnvironmentLaboratories, research facilities, industry settingsResearch labs, academic institutions, industry
Employer & Industry UsageBiotech, pharmaceuticals, academia, governmentBiotech, pharmaceuticals, academia, government
Common Search & Comparison IntentUnderstanding entry-level or mid-level research rolesAdvanced research roles, career progression

Associate Scientists and Research Scientists often work in similar environments within biotech, pharma, or academic sectors. The main difference lies in experience and educational requirements, with Research Scientists typically holding higher degrees and engaging in more independent or advanced research. Both roles are essential for scientific progress, but Research Scientists usually have more responsibility and autonomy in their projects.

Is an associate scientist entry level?

An associate scientist position is often considered an entry-level or early-career role in research and development, typically requiring a bachelor's or master's degree in a relevant field. It involves performing experiments, data analysis, and supporting scientific projects, with opportunities for skill development and advancement. However, some organizations may require prior experience or specific certifications depending on the complexity of the work.

What degree do you need to be an associate scientist?

An associate scientist typically needs at least a bachelor's degree in a relevant field such as biology, chemistry, or related sciences. Advanced roles may require a master's degree or higher, along with laboratory skills and experience with scientific tools and techniques.
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For Associate Scientist jobs in Decatur, GA, the most frequently searched job titles are:

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Associate Scientist jobs near you
Infographic showing various Associate Scientist job openings in Decatur, GA as of August 2026, with employment types broken down into 1% As Needed, 68% Full Time, 29% Part Time, 1% Temporary, and 1% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $72,955 per year, or $35.1 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.