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CirrusLabs

Data Scientist & Analyst

Alpharetta, GA · On-site

They are seeking an experienced Data Scientist & Analyst to provide analytical expertise, develop advanced models, and generate insights that drive cost optimization and operational efficiency.

1 point system

Data Scientist(Analyst)

New York, NY · Remote

Microsoft Purview Analyst or scientist Background Overview We are seeking a Data Scientist to support legal data workflows across the full eDiscovery lifecycle. This role works closely with legal ...

Doist

Senior Data Scientist / Analyst, Growth

Manhattan, NY · On-site

$150 - $210/hr

About the Role Polymarket is looking for a Senior Data Scientist / Analyst, Growth to own full-funnel GTM analytics for one of our vertical teams like sports, crypto, politics, or finance. You'll sit ...

HII's Mission Technologies division

$144K - $190K/yr

Enlighten is looking for a Data Scientist/Analyst to apply strong cyber security, data science, Defensive Cyber Operations (DCO), and networking domain knowledge to support and train cyber ...

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How much do data scientist analyst jobs pay per hour?

As of Aug 28, 2026, the average hourly pay for data scientist analyst in the United States is $43.58, according to ZipRecruiter salary data. Most workers in this role earn between $36.06 and $52.88 per hour, depending on experience, location, and employer.

What is a data scientist analyst?

A Data Scientist Analyst is responsible for collecting, processing, and analyzing large datasets to extract meaningful insights that drive business decisions. They use statistical methods, machine learning, and data visualization tools to identify trends, patterns, and correlations. This role typically requires proficiency in programming languages like Python or R, as well as experience with databases and data manipulation tools. Data Scientist Analysts work closely with business stakeholders to translate data findings into actionable recommendations.

What are the key skills and qualifications needed to thrive as a data scientist analyst?

To thrive as a Data Scientist Analyst, you need strong analytical skills, knowledge of statistics and machine learning, proficiency in programming languages like Python or R, and typically at least a bachelor's degree in a related field. Experience with data visualization tools (such as Tableau or Power BI), SQL databases, and relevant certifications like Google Data Analytics or Microsoft Certified: Data Scientist Associate are commonly expected. Effective problem-solving, communication, and collaboration abilities are key soft skills for success in this role. These skills ensure that data-driven insights can be efficiently derived, interpreted, and communicated to support informed business decisions.

What are the typical career growth opportunities for a data scientist analyst?

As a Data Scientist Analyst, you can advance into roles such as Senior Data Scientist, Machine Learning Engineer, or Data Science Manager with experience and demonstrated expertise. Many organizations support professional development through mentorship programs, advanced training, or opportunities to lead key projects. Over time, building a robust portfolio of impactful analyses and data-driven recommendations can help propel your career forward. Collaboration across technical and business teams is common, providing a broad understanding of how data informs strategic decisions and opening pathways to leadership or more specialized analytics roles.

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Data Scientist Analyst jobs near you
Infographic showing various Data Scientist Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $90,636 per year, or $43.6 per hour.

Data Scientist & Analyst

Alpharetta, GA • On-site

CirrusLabs
IT Services • 11 - 50 employees
Learn more about CirrusLabsexternal

Full-time

Re-posted 2 days ago

Job description

Job Summary:
CirrusLabs is a niche digital transformation company focused on helping customers realize value through innovation. They are seeking an experienced Data Scientist & Analyst to provide analytical expertise, develop advanced models, and generate insights that drive cost optimization and operational efficiency.
Responsibilities:
• Gather, clean, and analyze large datasets to identify trends, variances, and cost-saving opportunities.
• Develop and maintain dynamic dashboards and reporting tools that deliver clear and actionable insights.
• Generate periodic and ad-hoc financial reports to assist stakeholders in understanding cost drivers.
• Design and implement predictive models to forecast costs and support resource allocation decisions.
• Leverage advanced analytics and machine learning techniques to optimize cost performance.
• Collaborate with cross-functional teams to identify inefficiencies and propose data-driven solutions.
• Work closely with the client's infrastructure and finance teams to understand business objectives and translate them into analytical frameworks.
• Present complex data insights in a clear and actionable format tailored to non-technical stakeholders.
• Streamline data collection and reporting processes for improved efficiency and accuracy.
• Ensure adherence to best practices in data governance, documentation, and quality assurance.
Qualifications:
Required:
• Bachelor's or Master's degree in Data Science, Analytics, Computer Science, Finance, or a related field.
• 3-5+ years of experience in data science, business analytics, or cost management roles.
• Proficiency in SQL and Python (or R) for data manipulation and analytics.
• Hands-on experience with visualization tools such as Tableau, Power BI, or equivalent.
• Solid knowledge of statistical analysis, predictive modeling, and machine learning methodologies.
• Strong problem-solving skills and the ability to handle complex, multifaceted challenges.
• Excellent verbal and written communication skills, with a focus on presenting insights effectively.
Preferred:
• Experience in infrastructure, technology, or financial services industries.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
• Understanding of financial planning processes and cost allocation strategies.
Company:
CirrusLabs is an IT company provides agile software delivery, automation, cloud Services, and IoT. Founded in 2005, the company is headquartered in Alpharetta, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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