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Associate Computer Science Jobs in Cartersville, GA

The role will involve working with other Senior Data Scientists and mentoring Associate Data ... Master's or Doctor of Philosophy degree in Computer Science, Applied Math, Statistics, or a ...

The role will involve working with other Senior Data Scientists and mentoring Associate Data ... Master's or Doctor of Philosophy degree in Computer Science, Applied Math, Statistics, or a ...

Bachelor's degree in computer science or related field OR an Associate degree in computer science or related field with relevant work experience. * ITIL Foundation & ServiceNow Administration ...

Sr Desktop Support Associate

Marietta, GA · On-site

$20.25 - $23.50/hr

The Sr Desktop Support Associate is responsible for effective provisioning, installation ... Audio Visual support EDUCATION/EXPERIENCE: * BS in Computer Science, MIS, business, or equivalent ...

Associate

Atlanta, GA · On-site

$152K/yr

Bachelor's degree in Computer Engineering, Computer Science or a related field and four (4) years of experience as an Associate, Analyst or a related role. Must have four (4) years of experience with ...

Service Engineer

Atlanta, GA · On-site

$70K - $100K/yr

Bachelor's degree in Computer Science, Computer Engineering, and Electrical Engineering preferred * 1+ years of experience in servicing complex X86 systems and parts * Will consider Associates Degree ...

Associate

Atlanta, GA · On-site

$152K/yr

Bachelor's degree in Computer Engineering, Computer Science or a related field and four (4) years of experience as an Associate, Analyst or a related role. Must have four (4) years of experience with ...

Associate

Atlanta, GA · On-site

$146K - $170K/yr

Bachelor's degree in Electrical Engineering, Computer Science, or a related field and four (4) years of experience as an Associate or a related role. Must have three (3) years of experience with:

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Associate Computer Science information

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$8

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How much do associate computer science jobs pay per hour?

As of Jul 4, 2026, the average hourly pay for associate computer science in Cartersville, GA is $16.92, according to ZipRecruiter salary data. Most workers in this role earn between $13.46 and $17.98 per hour, depending on experience, location, and employer.

What professions make 200,000 a year without a degree?

In the tech industry, roles such as software sales executives, cloud solutions architects, and certain cybersecurity specialists can earn $200,000 or more annually without a traditional degree, often relying on extensive experience, certifications, and technical skills. Sales positions in technology companies and specialized IT consulting also have high earning potential without requiring a formal degree.

What jobs pay 4000 a week without a degree?

In the field of computer science, roles such as freelance software developers, cybersecurity consultants, or cloud engineers can potentially earn $4,000 or more weekly through project-based work or contracts, often requiring strong technical skills, certifications, and experience. These positions typically involve remote work, self-employment, or contract arrangements rather than traditional employment, and income depends on skill level, client base, and project scope.

What are the key skills and qualifications needed to thrive as an Associate in Computer Science, and why are they important?

To thrive as an Associate in Computer Science, you need foundational knowledge in programming, algorithms, data structures, and typically a bachelor’s degree in computer science or a related field. Familiarity with programming languages like Python, Java, or C++, experience with version control systems such as Git, and understanding of databases are commonly required. Strong analytical thinking, problem-solving skills, and the ability to collaborate effectively with others help you stand out in this role. These competencies ensure you can successfully contribute to software development projects, solve technical challenges, and support team goals in a dynamic technology environment.

What is the difference between Associate Computer Science vs Computer Programmer?

AspectAssociate Computer ScienceComputer Programmer
Required CredentialsAssociate's degree in Computer Science or related fieldTypically a bachelor's degree or coding bootcamp certification
Work EnvironmentEntry-level, team-based projects in tech companies, startups, or IT departmentsWriting, testing, and debugging code in various programming languages
Employer & Industry UsageCommon in tech firms, government agencies, and educational institutionsWidely used across software companies, finance, and tech industries

The main difference is that an Associate Computer Science focuses on foundational knowledge and may involve broader IT tasks, while a Computer Programmer specializes in coding and software development. Both roles often require similar educational backgrounds, but their daily tasks and career paths differ.

What types of projects and technologies can an Associate Computer Science professional expect to work on in their first year?

As an Associate Computer Science professional, you will often be assigned to entry-level projects such as developing or maintaining software applications, testing code, or assisting with database management. You'll likely work with common programming languages like Java, Python, or C++, and may be introduced to collaborative tools such as version control systems (e.g., Git). The team environment typically includes regular code reviews and mentorship from senior engineers, providing opportunities to learn best practices and develop your technical skills. Over time, you'll gain exposure to more complex tasks and technologies as you build your experience.

What is an Associate Computer Science professional?

An Associate Computer Science professional typically holds an associate degree in computer science or a related field and works in entry-level positions within the tech industry. They are responsible for assisting with software development, troubleshooting, maintaining computer systems, and supporting IT teams. These professionals often work under the supervision of more experienced engineers or developers and may contribute to coding, testing, and basic technical support. The role is a great starting point for those looking to build a career in technology and can lead to more advanced opportunities with experience and further education.

Is an Associates in computer science useful?

An associate's degree in computer science provides foundational knowledge of programming, algorithms, and systems, which can help qualify for entry-level roles such as support technician or junior developer. It can also serve as a stepping stone to a bachelor's degree or specialized certifications, increasing job opportunities in the tech field.

What can you do with an associate's degree in computer science?

An associate's degree in computer science prepares individuals for entry-level roles such as computer support specialist, help desk technician, or network technician. It provides foundational skills in programming, troubleshooting, and basic networking, often enabling employment in IT departments or technical support environments.
What are the most commonly searched types of Computer Science jobs in Cartersville, GA? The most popular types of Computer Science jobs in Cartersville, GA are:
What are popular job titles related to Associate Computer Science jobs in Cartersville, GA? For Associate Computer Science jobs in Cartersville, GA, the most frequently searched job titles are:
What job categories do people searching Associate Computer Science jobs in Cartersville, GA look for? The top searched job categories for Associate Computer Science jobs in Cartersville, GA are:
What cities near Cartersville, GA are hiring for Associate Computer Science jobs? Cities near Cartersville, GA with the most Associate Computer Science job openings:
Infographic showing various Associate Computer Science job openings in Cartersville, GA as of June 2026, with employment types broken down into 1% As Needed, 73% Full Time, 21% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $35,190 per year, or $16.9 per hour.
Lead Data Scientist

Full-time

Posted 17 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.
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