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Junior Data Science Neuroscience Jobs in Decatur, GA

Provide guidance to junior team members on model development and EDA * Work with Product Manager(s ... Experience with one or more data science and machine/deep learning frameworks and tooling ...

This is NOT a junior position nor a developer role , it is a need for a Data Scientist that will look at arrays of capture points and customer data, model and analyze date to create better solutions ...

Provide mentoring and coaching to more junior roles to support their technical competencies ... Actively seek out new business opportunities to leverage data science as a competitive advantage ...

Junior Credit Decision Analyst Department: Credit Operations (US) Employment Type: Permanent ... An Ideal Candidate will Have A degree in Finance, Economics, Data Science, or a related field (or ...

Data Engineer II - AMZ27052.1

Atlanta, GA · On-site

$132K - $178K/yr

Mentor junior data engineers. (40 hours / week, 8:00am-5:00pm, Salary Range $132100 - $178800 ... Employer will accept a Bachelor's degree or foreign equivalent in Computer Science, Engineering ...

Serve as a mentor and guide to more junior data scientists and translators in demonstrating the application of cutting-edge analytics, clear communication and presentation of insights and practical ...

Senior Data Engineer

Atlanta, GA

$101K - $138K/yr

... junior engineers. This is an ideal role for someone who thrives in complex data environments ... Maintain an advanced level of proficiency with Computer Science/Software Engineering knowledge.

Senior Data Engineer

Atlanta, GA · On-site

$101K - $138K/yr

... junior engineers. This is an ideal role for someone who thrives in complex data environments ... Maintain an advanced level of proficiency with Computer Science/Software Engineering knowledge.

Neuroscience Tutor

Roswell, GA · Remote

$18 - $40/hr

Guides students through interpreting electrophysiology data, mapping neural pathways, analyzing ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Neuroscience Tutor

Alpharetta, GA · Remote

$18 - $40/hr

Guides students through interpreting electrophysiology data, mapping neural pathways, analyzing ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Guides students through interpreting electrophysiology data, mapping neural pathways, analyzing ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Neuroscience Tutor

Johns Creek, GA · Remote

$18 - $40/hr

Guides students through interpreting electrophysiology data, mapping neural pathways, analyzing ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Neuroscience Tutor

Marietta, GA · Remote

$18 - $40/hr

Guides students through interpreting electrophysiology data, mapping neural pathways, analyzing ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

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Junior Data Science Neuroscience information

See Decatur, GA salary details

$28.8K

$65.1K

$115.7K

How much do junior data science neuroscience jobs pay per year?

As of Jul 4, 2026, the average yearly pay for junior data science neuroscience in Decatur, GA is $65,112.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,800.00 and $73,200.00 per year, depending on experience, location, and employer.

What types of projects and collaborations can a Junior Data Scientist expect in a neuroscience research team?

As a Junior Data Scientist in a neuroscience setting, you will typically work on projects that involve processing and analyzing large datasets, such as brain imaging or neural signal recordings. You can expect to collaborate closely with neuroscientists, clinicians, and senior data scientists to interpret results and contribute to experimental design. Your daily tasks may include data cleaning, statistical analysis, and developing machine learning models to uncover patterns related to brain function or disease. This role often offers excellent opportunities for learning and mentorship, as well as potential for growth into specialized or leadership positions as you gain experience.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Junior data scientists often focus on identifying the most impactful variables or tasks to optimize model performance and efficiency.

Can data scientists make $300k?

Senior data scientists, including those working in neuroscience, can earn $300,000 or more annually, especially with extensive experience, advanced skills in machine learning and statistical analysis, and work in high-paying industries or companies. Entry-level or junior data scientists typically earn lower salaries, with significant increases possible as they gain expertise and responsibilities.

What are the key skills and qualifications needed to thrive as a Junior Data Science Neuroscience professional, and why are they important?

A Junior Data Science Neuroscience professional should have a solid background in neuroscience or a related field, combined with proficiency in statistics, data analysis, and programming (typically Python or R). Experience with data visualization tools, machine learning libraries, and familiarity with neuroimaging software (such as SPM, FSL, or AFNI) are highly valuable. Strong analytical thinking, attention to detail, and effective communication skills help in interpreting complex datasets and collaborating across interdisciplinary teams. These skills are essential for extracting meaningful insights from neurological data and advancing research or clinical applications.

Is data science used in neuroscience?

Data science is extensively used in neuroscience, with data scientists analyzing large datasets such as brain imaging, electrophysiological recordings, and genetic information to understand brain function and disorders. Junior data science roles in neuroscience often involve applying machine learning, statistical analysis, and programming skills to interpret complex biological data.

What are entry level neuroscience jobs?

Entry-level neuroscience jobs include roles such as research assistant, laboratory technician, or data analyst in neuroscience or related fields. These positions often require a bachelor's degree in neuroscience, biology, or a related discipline, and may involve working with neuroimaging tools, data analysis software, or assisting in experiments.

What is a Junior Data Science Neuroscience role?

A Junior Data Science Neuroscience role involves applying data science techniques to analyze and interpret complex neuroscience data. Professionals in this position typically work with large datasets from brain imaging, electrophysiology, or behavioral experiments to uncover patterns and insights about brain function. They often use programming languages like Python or R, statistical analysis, and machine learning algorithms under the supervision of senior scientists or data analysts. This role is ideal for early-career individuals with a background in neuroscience, data science, or a related field.
What are popular job titles related to Junior Data Science Neuroscience jobs in Decatur, GA? For Junior Data Science Neuroscience jobs in Decatur, GA, the most frequently searched job titles are:
What cities near Decatur, GA are hiring for Junior Data Science Neuroscience jobs? Cities near Decatur, GA with the most Junior Data Science Neuroscience job openings:
Lead Data Scientist

Full-time

Posted 18 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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