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Junior Data Science Neuroscience Jobs in Decatur, GA

Cushman & Wakefield

Junior Data Scientist

Atlanta, GA · On-site

The Junior Data Scientist will support the development and evolution of Cushman and Wakefield ... This position will report to the Head of Data Science and Geospatial Analytics. The ideal candidate ...

Cushman & Wakefield

Junior Data Scientist

Atlanta, GA · On-site

The Junior Data Scientist will support the development and evolution of Cushman and Wakefield ... This position will report to the Head of Data Science and Geospatial Analytics. The ideal candidate ...

nLeague Services Inc

Data Scientist

Atlanta, GA · On-site

Expected to take a lead role in guiding data strategy and mentoring junior data scientists or analysts. Essential Duties & Responsibilities * Fully support, configure, maintain, and upgrade networks ...

AIG

Manager Data Science, GenAI

Atlanta, GA · On-site

... and develop junior data scientists. • Collaborate with cross-functional teams including product managers, engineers, and business leaders. • Build evaluation frameworks to measure LLM ...

4pconsultinginc

Data Scientist II

Atlanta, GA · On-site

Mentor junior data scientists and analysts * Contribute to best practices and data science ... methodologies * Stay current with emerging tools, technologies, and industry trends Required ...

4P Consulting Inc.

DATA SCIENTIST

Forest Park, GA

This role requires a strong foundation in data science techniques, programming, and advanced analytics, as well as the ability to collaborate with various teams and mentor junior staff. Thanks and ...

Xforia, Inc.

Data Scientist

Atlanta, GA · On-site

... junior data scientists and contribute to the growth and development of the data science team. • ... Work Experience And Education Requirements • Master's degree in Computer Science, Statistics ...

AIG

Manager Data Science, GenAI

Atlanta, GA · On-site

Mentor and develop junior data scientists. * Collaborate with cross-functional teams including product managers, engineers, and business leaders. * Build evaluation frameworks to measure LLM ...

Verizon

Principal Data Scientist

Alpharetta, GA · On-site

You will spearhead high-impact data science projects that revolutionize product personalization ... junior data scientists. * Drive technical excellence through active research and the practical ...

FIS

Data Scientist Sr Lead

Atlanta, GA · Hybrid

Mentor and develop junior data scientists, fostering a culture of technical excellence, innovation, collaboration, and continuous learning. * Provide technical leadership and guidance on analytical ...

Worldpay, Inc.

Data Scientist Sr Lead

Atlanta, GA · Hybrid

Mentor and develop junior data scientists, fostering a culture of technical excellence, innovation, collaboration, and continuous learning. * Provide technical leadership and guidance on analytical ...

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All JobsJunior Data Science Neuroscience JobsJunior Data Science Neuroscience Jobs in Decatur, GA

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:
Junior Data Science Neuroscience jobs near you
Junior Data Scientist

Junior Data Scientist

Cushman & Wakefield

Atlanta, GA

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 10 days ago

Cushman & Wakefield rating

7.5

Company rating: 7.5 out of 10

Based on 153 frontline employees who took The Breakroom Quiz

74th of 156 rated real estate companies

Job description

Job Title

Junior Data Scientist

Job Description Summary

This role sits at the intersection of real estate economics, urban analysis, and data science. The Junior Data Scientist will support the development and evolution of Cushman and Wakefield Quantitative Insight Group's (QIG) analytical capabilities by producing rigorous, insight-driven work on commercial real estate markets across the Americas. This position will report to the Head of Data Science and Geospatial Analytics. The ideal candidate is a practitioner who thinks first like an economist, real estate analyst, or quantitative urban planner, and who brings the technical skills to build and operate the data infrastructure their own work requires.
This is not primarily an engineering role, though the ideal candidate will possess data engineering knowledge, skills, and abilities. The Analyst will spend most of their time doing substantive analytical and research work: synthesizing complex datasets, identifying market patterns and anomalies, and producing outputs that inform Cushman & Wakefield's House View, including elements that are unique to QIG, and related analytical products for key clients. At the same time, the candidate should be comfortable constructing and maintaining data pipelines, working fluently in Python and/or R and SQL, and collaborating closely with Technology & Data Solutions (TDS) as a knowledgeable and credible partner.

Job Description

Key Responsibilities

Real Estate & Urban Economic Analysis (45%)

  • Conduct rigorous quantitative analysis on commercial real estate markets, synthesizing property, macroeconomic, and urban data to surface market trends, structural shifts, and investment-relevant insights.

  • Apply econometric and statistical methods (time series modeling, regression, spatial econometrics, or similar) to real estate and labor market questions in support of QIG research products.

  • Integrate geospatial data and methods into analytical workflows: working with Census geographies, parcel data, land use classifications, walkability or transit metrics, demographic overlays, and similar inputs to enrich market analysis.

  • Contribute to the development of novel datasets and indicators that advance QIG's analytical edge, including working closely with the Head of Data Science & Geospatial Analytics to specify and build integrated data products combining proprietary CRE data with public and third-party sources.

  • Support the QIG team on ad hoc analytical requests from Americas Research, the Global Think Tank, and senior stakeholders, producing clean, well-documented, and reproducible outputs.

Data Engineering & Pipeline Maintenance (35%)

  • Build andmaintainautomated data pipelines for ingesting, transforming, and storing CRE and macroeconomic datasets used in analytical modelsand reoccurring analysis.

  • Ensure data integrity and consistency across QIG inputs and outputs through validation, quality control procedures, and structured data interfaces.

  • Perform exploratory data analysis and profiling on raw and processed datasets tovalidatepipeline outputs andidentifyanomalies or inconsistencies.

  • Partner with PRI (Property Research & Intelligence), TDS (Technology & Data Solutions), and the GIS team to ensure governance of time series and geospatial data, particularly as geography-based competitive sets evolve.

  • Serve as a knowledgeable liaison to TDS: translating analytical requirements into engineering specifications, tracking the status of data requests in the TDS backlog, and validating outputs against analytical expectations.

Documentation, Integration & Infrastructure (20%)

  • Develop andmaintaininternal documentation covering data sources, model architecture, data flows, and diagnostic procedures, with attention to field-level lineage and traceability.

  • Serve as the team's subject matter expert on integration and processing of internal, third-party vendor, and public datasets (e.g., Census TIGER, IPUMS, LODES, NLCD, Overture Maps), and advise on cleaning, normalization, andappropriate analyticalapplications.

  • Monitor the evolution of third-party data products; assess their fit against QIG analytical requirements and produce intake specifications when new sources are approved for integration.

  • Support the adoption of emerging analytical technologies (including ML/AI methods and advanced data infrastructure patterns) through hands-on prototyping and coordination with TDS whereappropriate.

Qualifications

  • Bachelor's degree inEconomics,Data Science,Real Estate, Applied Economics, Geography,UrbanPlanningor anyclosely related field with quantitative emphasis.A master's degree ispreferredand adoctoral degree is a plus.

  • 2 to 6yearsof experience ina research, analytical, or data science role, preferably in a real estate, urban policy, planning, or economic research context.

  • Strong command of quantitative methods: regression,time series analysis,spatial econometrics, or comparable approaches applied to real estate or urban economic questions.

  • Working knowledge of geospatial data and methods: experience with GIS tools (ArcGIS, QGIS, or programmatic approaches via R or Python), familiarity with spatial data formats and concepts, and comfort integrating geographic context into analysis.

  • Proficiencyin Python and/or R for data analysis, modeling, and pipeline construction; working knowledge of SQL. Familiarity with cloud platforms (Azure, AWS) and version control is a plus.

  • Experience working with public datasets commonly used in urban and real estate research: Census products (ACS, TIGER, LODES), BLS, IPUMS, or similar.

  • Ability to produce clean, well-documented, reproducible analytical work and communicate findings clearly to both technical and non-technical audiences.

  • Comfortable operating in a cross-functional environment, working both independently and alongside engineering and research teams on iterative deliverables.

  • Genuine intellectual interest in urban economics, commercial real estate markets, and the spatial dimensions of economic activity.

  • Comfortability in communicating analysis, methods and related topics withrelated teams and immediate management.


Cushman & Wakefield also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health, vision, and dental insurance, flexible spending accounts, health savings accounts, retirement savings plans, life, and disability insurance programs, and paid and unpaid time away from work. In addition to a comprehensive benefits package, Cushman and Wakefield provide eligible employees with competitive pay, which may vary depending on eligibility factors such as geographic location, date of hire, total hours worked, job type, business line, and applicability of collective bargaining agreements.
The compensation that will be offered to the successful candidate will depend on factors such as whether the position is covered by a collective bargaining agreement, the geographic area in which the work will be performed, market pay rates in that area, and the candidate's experience and qualifications.
The company will not pay less than minimum wage for this role.
The compensation for the position is: $ 114,750.00 - $135,000.00Cushman & Wakefield is an Equal Opportunity employer to all protected groups, including protected veterans and individuals with disabilities. Discrimination of any type will not be tolerated.

In compliance with the Americans with Disabilities Act Amendments Act (ADAAA), if you have a disability and would like to request an accommodation in order to apply for a position at Cushman & Wakefield, please call the ADA line at 1-888-365-5406 or emailAccommodations@cushwake.com. Please refer to the job title and job location when you contact us.

INCO: "Cushman & Wakefield"

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