ZipRecruiter

Log In

1

Associate Science Jobs in Canton, GA (NOW HIRING)

Smarsh

Lead Data Scientist

Atlanta, GA

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 ...

pcg

Associate Project Engineer

Atlanta, GA · On-site

$70K - $87K/yr

The Associate Project Engineer role serves as a launchpad for future leaders at PCI. It's a dynamic ... Science, or comparable work experience * Proficiency with Microsoft Office Suite products (e.g ...

pcg

Associate Project Engineer

Atlanta, GA

$70K - $87K/yr

The Associate Project Engineer role serves as a launchpad for future leaders at PCI. It's a dynamic ... Science, or comparable work experience * Proficiency with Microsoft Office Suite products (e.g ...

Deposco

Associate Consultant

Alpharetta, GA · On-site

Our Associate Consultants have the opportunity to work in a variety of industries including ... Bachelor of Science degree in Industrial Engineering; Supply Chain Management; Management ...

ICON

Senior Clinical Research Associate

Atlanta, GA · On-site +1

Senior Clinical Research Associate - Cardio (Smartpulse A-fib) - All Regions ICON is a global ... A bachelor's degree is required, preferably a Bachelor of Science Degree in Life Science, Physical ...

Icon plc

Senior Clinical Research Associate

Atlanta, GA · On-site

Senior Clinical Research Associate - Cardio (Smartpulse A-fib) - All Regions ICON is a global ... A bachelor's degree is required, preferably a Bachelor of Science Degree in Life Science, Physical ...

State Farm

Lead Data Scientist - Gen AI

Dunwoody, GA

Data Science at State Farm: As a Data Scientist at State Farm, you will serve as a subject matter ... Establish and leverage a network of associates with business domain and data expertise * Instill a ...

ICF

Associate Director, Energy Consulting

Atlanta, GA · On-site +1

Associate Director, Energy Consulting Location: US Remote Preferred Locations: Atlanta, GA, Reston ... Understanding of building science, building construction methods, and building energy saving ...

previous page

Showing results 41-60

All JobsAssociate Science JobsAssociate Science Jobs in Canton, GA

Associate Science information

See Canton, GA salary details

$10

$18

$31

How much do associate science jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for associate science in Canton, GA is $18.76, according to ZipRecruiter salary data. Most workers in this role earn between $14.09 and $19.52 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an associate scientist?

To thrive as an Associate Scientist, you need a solid background in biological or chemical sciences, often supported by a bachelor's or master's degree in a relevant field. Familiarity with laboratory techniques, data analysis software, and safety protocols is typically required. Strong attention to detail, critical thinking, and effective communication are vital soft skills for this role. These skills ensure accurate experimentation, reliable results, and effective collaboration within research teams.

What does an associate science do?

Associate Science professionals in laboratory settings are commonly tasked with preparing and analyzing samples, maintaining lab equipment, and documenting experimental results. They often collaborate closely with senior scientists and research teams to ensure experiments run smoothly and data is accurately recorded. Regular responsibilities may also include participating in team meetings to discuss findings and troubleshoot issues, as well as adhering to strict safety protocols. This collaborative and detail-oriented environment provides valuable experience for those looking to advance in scientific research careers.

What is the difference between Associate Science vs Laboratory Technician?

AspectAssociate ScienceLaboratory Technician
CredentialsAssociate degree in Science or related fieldAssociate degree or certification in laboratory techniques
Work EnvironmentEducational settings, research labs, healthcare facilitiesResearch labs, hospitals, industrial labs
Employer & IndustryColleges, universities, research institutions, healthcare providersMedical labs, biotech companies, manufacturing
Common Search & ComparisonYesYes

While both roles require an associate degree, Associate Science professionals often work in educational or research settings, focusing on scientific education and research. Laboratory Technicians typically work in clinical or industrial labs, performing tests and supporting scientific experiments. The main difference lies in their work environment and specific job functions, though both roles share similar educational requirements.

What is an associate science?

Associate Science jobs typically refer to positions that require an Associate of Science (AS) degree, which is a two-year undergraduate degree focused on foundational science and math courses. Graduates often work as laboratory technicians, research assistants, environmental science technicians, or healthcare support roles. These jobs provide hands-on experience in scientific settings and can serve as a stepping stone to a bachelor's degree or higher-level positions in science-related fields.
What are the most commonly searched types of Science jobs in Canton, GA? The most popular types of Science jobs in Canton, GA are:
What cities near Canton, GA are hiring for Associate Science jobs? Cities near Canton, GA with the most Associate Science job openings:
Associate Science jobs near you
Infographic showing various Associate Science job openings in Canton, GA as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 25% Part Time, 1% Temporary, and 3% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $39,020 per year, or $18.8 per hour.

Lead Data Scientist

Smarsh

Atlanta, GA

Full-time

Re-posted 21 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
$166,000 - $214,000 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.
apply for this job

Apply