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Associate Scientist Analytical Development Jobs in Georgia

Data Scientist

Atlanta, GA · On-site +1

$95K - $110K/yr

Data Scientist Revenue Analytics is a SaaS company that helps companies make better revenue ... development while maintaining technical quality. * Partner closely with product, engineering, and ...

Decision Scientist II

Atlanta, GA · On-site

$100K - $115K/yr

... analytics projects and executing against the objectives of assigned business group. Using an ... development, and deployment practices. 6. Foster communication and partnership across multiple ...

... analytics projects and executing against the objectives of assigned business group. Using an ... development, and deployment practices. 6. Foster communication and partnership across multiple ...

... Science leader to drive data-informed decisions and measurable business results. This role partners ... analytical initiatives from data exploration through model development and insight generation ...

... Science leader to drive data-informed decisions and measurable business results. This role partners ... analytical initiatives from data exploration through model development and insight generation ...

Data Scientist

Atlanta, GA · On-site

$90 - $95/hr

This is a scientific position requiring strong analytical and technical skills, methodological expertise, and the ability to translate complex public health data into meaningful findings ...

... a series of Analytical product development related assignments and projects. The role will be ... Hold a bachelor's in data science/analytics, Computer Science, Mathematics, or other degrees in ...

... via the development and adoption of analytic solutions. Applicants for this posting will be ... Establish and leverage a network of associates with business domain and data expertise * Instill a ...

Data Science & Analytics Lead

Atlanta, GA · On-site

$130K - $170K/yr

Data Science & Analytics Lead POSITION NUMBER: 260823-0085-DSAL POSITION LOCATION: Atlanta, GA, USA ... Advise on cloud-based and distributed analytical environments. * Support development and ...

Showing results 21-40

Associate Scientist Analytical Development information

What does an associate scientist analytical development do?

An Associate Scientist in Analytical Development is responsible for designing, conducting, and analyzing experiments to develop and validate analytical methods used in the testing of pharmaceutical products. They work closely with cross-functional teams to ensure the quality and consistency of drug formulations by using various laboratory techniques such as chromatography, spectroscopy, and wet chemistry. Their role is critical in supporting drug development, regulatory submissions, and ensuring products meet industry standards.

What are some common challenges an associate scientist analytical development might face when working on new drug formulations?

Associate Scientists in Analytical Development frequently encounter challenges such as developing robust analytical methods for complex or novel drug formulations and ensuring these methods meet regulatory standards. Balancing tight project timelines with the need to thoroughly validate methods can also be demanding. Additionally, they often need to troubleshoot unexpected results and collaborate closely with cross-functional teams—including formulation scientists and quality assurance—to resolve technical issues and deliver reliable data. These challenges require strong problem-solving skills and adaptability.

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

To thrive as an Associate Scientist Analytical Development, you need a solid background in chemistry, biochemistry, or a related field, often supported by a bachelor’s or master’s degree. Familiarity with analytical techniques like HPLC, GC, mass spectrometry, and relevant laboratory information management systems (LIMS) is typically required. Strong problem-solving skills, attention to detail, and effective teamwork are important soft skills for this role. These competencies ensure accurate data generation, regulatory compliance, and successful collaboration in the development of pharmaceutical products.

What is the difference between Associate Scientist Analytical Development vs Associate Scientist Quality Control?

AspectAssociate Scientist Analytical DevelopmentAssociate Scientist Quality Control
Required CredentialsBachelor's or Master's in Chemistry, Biology, or related field; relevant laboratory experienceBachelor's or Master's in Chemistry, Biology, or related field; laboratory experience often focused on testing
Work EnvironmentResearch and development labs, method development, process optimizationQuality control labs, testing, sample analysis, compliance with regulations
Employer & Industry UsagePharmaceutical, biotech companies, focus on method developmentPharmaceutical, biotech companies, focus on product testing and quality assurance

Associate Scientist Analytical Development primarily focuses on developing and optimizing analytical methods for new or existing products, while Associate Scientist Quality Control concentrates on testing and ensuring the quality of products before release. Both roles require similar educational backgrounds but differ in daily tasks and focus areas within the industry.

What are popular job titles related to Associate Scientist Analytical Development jobs in Georgia?

For Associate Scientist Analytical Development jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Associate Scientist Analytical Development jobs in Georgia look for?

The top searched job categories for Associate Scientist Analytical Development jobs in Georgia are:

What cities in Georgia are hiring for Associate Scientist Analytical Development jobs?

Cities in Georgia with the most Associate Scientist Analytical Development job openings:

Data Scientist

Revenue Analytics

Atlanta, GA • On-site, Remote

$95K - $110K/yr

Full-time

Re-posted 15 days ago


Key responsibilities

  • Build machine learning and AI solutions to support pricing, forecasting, and revenue management decisions in hospitality.

  • Analyze large datasets to identify patterns, risks, and opportunities, and develop practical recommendations or product capabilities.

  • Partner with product, engineering, and cross-functional stakeholders to translate business problems into analytical solutions and communicate insights.


Job description

Data Scientist

Revenue Analytics is a SaaS company that helps companies make better revenue decisions in pricing, products, and promotions. Our analytics solutions drive measurable revenue uplift and help customers move faster with more confidence.

Founded in 2005, we combine deep expertise in pricing and revenue management with modern software, machine learning, and AI to power complex commercial decisions. In Hospitality, we are building products that help redefine what modern revenue management looks like - turning advanced analytics into practical product capability for hotel operators navigating pricing, demand, and competitive complexity.

This Data Scientist position represents a unique opportunity to join a growth-stage company that is investing aggressively in the future of hospitality revenue management. We are looking for someone excited by that opportunity and motivated to help build real product capability, not just one-off analysis.

As a Data Scientist, you will help build machine learning and AI systems that power our hospitality analytics platform. You will work on revenue management and pricing problems in a complex, fast-moving domain, partnering closely with product, science, and engineering to turn ambiguous questions into rigorous analytical solutions. Your work will directly influence product direction and help hospitality customers make better, faster, more data-driven decisions.

What You Will Do:
  • Build machine learning and AI solutions that support pricing, forecasting, and revenue management decisions in hospitality.
  • Analyze large, sometimes messy datasets to identify patterns, risks, and opportunities, and turn them into practical recommendations or product capability.
  • Write clean Python and SQL, working with data pipelines and analytical workflows to prepare, validate, and operationalize data.
  • Apply modern AI techniques, including LLMs and AI coding tools such as Claude Code, thoughtfully to accelerate prototyping, learning, and development while maintaining technical quality.
  • Partner closely with product, engineering, and cross-functional stakeholders to translate business problems into analytical solutions and communicate insights clearly.
What You Will Bring:
  • 0-2 years of experience in data science, analytics, machine learning, or a related field, including internships, research, senior projects, or meaningful independent projects.
  • Bachelor's or Master's degree in statistics, mathematics, operations research, computer science, engineering, or another quantitative field.
  • Hands-on coding experience in Python, working knowledge of SQL, and familiarity with modern data analysis and machine learning workflows.
  • Ability to structure ambiguous problems, choose sensible analytical approaches, and explain trade-offs, limitations, and recommendations clearly.
  • Strong curiosity, ownership, and learning agility, with interest in hospitality, travel, pricing, forecasting, or other business problems where analytics can directly influence outcomes.
Preferred Qualifications:
  • Experience with revenue management, pricing, forecasting, segmentation, or related analytical problem spaces.
  • Experience building something reusable or scalable, such as a data pipeline, internal tool, model workflow, or decision-support analysis.
  • Familiarity with cloud platforms, business intelligence tools, or modern AI tooling in technical workflows.
 
$95,000 - $110,000 a year
Who We Are
A pioneer of Revenue Management, Revenue Analytics is an enterprise SaaS company that partners with hospitality, media, and transportation companies to solve their most complex pricing challenges. By leveraging powerful analytics and deep strategic experience, Revenue Analytics' next-generation software delivers intuitive answers to help companies perfect their pricing, reclaim missed revenue, and take back their time. To learn more about how Revenue Analytics is recreating Revenue Management, visit revenueanalytics.com or follow us on Twitter and LinkedIn.
 
Visa sponsorship is not available for this role.  Revenue Analytics embraces diversity and is an equal opportunity employer. We are committed to building a Team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be.
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