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Executive International Data Scientist Jobs in Decatur, GA

Datavault AI Inc.

Data Scientist

Atlanta, GA · On-site

Communicate findings through written reports, dashboards, and decision memos that executive leadership can act on. Qualifications: * Bachelor's degree in Computer Science, Statistics, Data Science ...

United Airlines

Data Scientist

Atlanta, GA

Cary, NC (Onsite/Hybrid from Day 1) We are seeking an experienced Data Scientist to join our ... executive-level presentations. Preferred Qualifications * Experience with Generative AI, Large ...

New

CRH

Data Scientist

Atlanta, GA · Hybrid

Job Summary CRH is seeking a Data Scientist to join the Intelligence Digital Products team within ... of a large international organization. If you're up for a rewarding challenge, we invite you to ...

Honeywell

Advanced Data Scientist

Atlanta, GA · On-site

Honeywell Forge and AI team is a significant business segment of Honeywell International Inc ... As an Advance Data Scientist, you will join a high-performing, global team, and be responsible for ...

Honeywell

Advanced Data Scientist

Atlanta, GA

Honeywell Forge and AI team is a significant business segment of Honeywell International Inc ... As an Advance Data Scientist, you will join a high-performing, global team, and be responsible for ...

Honeywell

Advanced Data Scientist

Atlanta, GA

Honeywell Forge and AI team is a significant business segment of Honeywell International Inc ... As an Advance Data Scientist, you will join a high-performing, global team, and be responsible for ...

Verizon

Principal Data Scientist

Alpharetta, GA · On-site

As a Principal Data Scientist in our Strategic Analytics & Modeling group, you are the intellectual ... Master Executive Storytelling: Use AI to help synthesize complex model outputs into high-impact ...

ARC Group

Sr. Data Scientist

Atlanta, GA · On-site

Sr. Data Scientist (100% remote) ARC Group is currently seeking a Sr. Data Scientist to join a ... ARC Group is a Forbes-ranked a top 20 recruiting and executive search firm working with clients ...

Warnerbros

Sr. Principal Data Scientist

Atlanta, GA

Your New Role : As a Sr. Principal Data Scientist, you will operate at the highest technical ... Translate complex modelling outputs into clear, executive-ready insights that drive decisions. 5. ...

US Department of the Treasury

Data Scientist

Chamblee, GA · On-site

$106K/yr

... executive decision making. * Experience evaluating model performance using appropriate metrics ... National Association of Credential Evaluation Services (NACES) or Association of International ...

ResultStack

Sr. Data Scientist

Atlanta, GA · On-site

Must be a US Citizen or Hold a Green Card ABOUT THE ROLE We are looking to hire a Data Scientist ... They will be able to model data and present it for both technical and executive audiences. They ...

ResultStack

Sr. Data Scientist

Atlanta, GA · On-site

Must be a US Citizen or Hold a Green Card ABOUT THE ROLE We are looking to hire a Data Scientist ... They will be able to model data and present it for both technical and executive audiences. They ...

ResultStack

Sr. Data Scientist

Atlanta, GA

Must be a US Citizen or Hold a Green Card ABOUT THE ROLE We are looking to hire a Data Scientist ... They will be able to model data and present it for both technical and executive audiences. They ...

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Executive International Data Scientist information

See Decatur, GA salary details

$44.9K

$161.1K

$237.7K

How much do executive international data scientist jobs pay per year?

As of Jul 30, 2026, the average yearly pay for executive international data scientist in Decatur, GA is $161,113.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,300.00 and $166,000.00 per year, depending on experience, location, and employer.

Is 40 too late for data science?

Age is not a barrier to becoming an international data scientist. Many professionals successfully transition into data science later in their careers by acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications. Experience, continuous learning, and adaptability are key factors for success in the field regardless of age.

Which country has high demand for data scientists?

The demand for data scientists is high in countries with strong technology and finance sectors, such as the United States, Canada, the United Kingdom, Germany, and Australia. These countries have a growing need for professionals skilled in data analysis, machine learning, and programming tools like Python and R, often requiring advanced degrees and certifications. Job opportunities are typically available in industries like finance, healthcare, and e-commerce, with remote work options also expanding globally.

Can data scientists make $300k?

Data scientists, including those in executive or senior roles, can earn $300,000 or more annually, especially with extensive experience, advanced skills in machine learning and big data tools, and work in high-paying industries like finance or technology. Achieving this level often requires a combination of expertise, leadership responsibilities, and sometimes geographic location or company size.

What is the highest paid job in data science?

The highest paid roles in data science are often senior positions such as Chief Data Officer, Director of Data Science, or Lead Data Scientist, especially in large organizations. These roles typically require extensive experience, advanced skills in machine learning and analytics, and often involve strategic decision-making and leadership responsibilities.
What are the most commonly searched types of International Data Scientist jobs in Decatur, GA? The most popular types of International Data Scientist jobs in Decatur, GA are:
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Executive International Data Scientist jobs near you

Data Scientist

Datavault AI Inc.

Atlanta, GA • On-site

Full-time

Posted 7 days ago

Job description

Data Scientist
Location: Atlanta, GA Hybrid
Employment Type: Full-Time

About Us: Datavault AI, along with its event-technology subsidiary Event Citadel (formerly CompuSystems), operates across a diverse portfolio of technology and service divisions.

Datavault AI Inc. delivers high-performance computing software, Web 3.0 data-management solutions, and advanced audio technologies to a broad range of industries.

Event Citadel (formerly CompuSystems), founded in 1976, is a trusted provider of end-to-end event technology solutions, offering registration, ticketing, lead retrieval, and attendee-engagement services for events of all sizes across trade, association, corporate, and government markets.

Job Description:

We’re looking for a Data Scientist to drive measurable improvement of our AI systems — including a multi-agent LLM pipeline that profiles, classifies, and values customer data assets, and a classification service that builds our reference dataset from public sources. You’ll own the evaluation strategy, ground-truth corpus design, and statistical rigor that turns “the agent feels better” into “the agent is measurably 18% more accurate at industry classification on our latest corpus.” This is a hands-on, high-ownership role where you’ll be the technical authority on what “good” looks like for our AI outputs.

Key Responsibilities:

  • Design, build, and maintain evaluation frameworks for our multi-agent LLM pipelines covering classification, PII detection, valuation, retrieval, segmentation, and synthesis — with regression-detection rigor.
  • Curate, expand, and version synthetic and real-world test corpora that exercise our AI pipelines end-to-end across 20+ industry verticals.
  • Quantify model performance: precision, recall, calibration, inter-rater agreement against human-verified ground truth, drift detection across releases.
  • Partner with engineering to design prompt experiments, agent variants, and structured-output schema iterations; report results with statistical confidence intervals — not anecdotes.
  • Improve vector-search comparable retrieval: embedding model selection, retrieval evaluation (recall@k, MRR), taxonomy refinement, classification accuracy uplift.
  • Evaluate prompt strategies, tool-use patterns, and routing logic; recommend model-tier choices backed by cost/accuracy data.
  • Profile production traces to identify failure modes (hallucinated outputs, mis-classifications, missed PII), then design experiments to fix them.
  • Work cross-functionally with engineering, product, and domain experts to translate fuzzy product goals (“the analysis should feel insightful”) into quantitative success metrics.
  • Communicate findings through written reports, dashboards, and decision memos that executive leadership can act on.


Qualifications:

  • Bachelor’s degree in Computer Science, Statistics, Data Science, Machine Learning, or related quantitative discipline, or equivalent professional experience. Master’s or PhD preferred.
  • 3+ years of professional data science, ML engineering, or AI evaluation experience shipping models or AI systems to production.
  • Strong Python skills (Pandas, NumPy, scikit-learn, PyTorch or TensorFlow), with comfort writing production-quality code that engineers will run in CI.
  • Proven experience evaluating LLM-based systems: prompt experimentation, structured-output validation, hallucination detection, retrieval evaluation, judge-LLM patterns.
  • Solid grasp of classical statistics: hypothesis testing, confidence intervals, sample-size calculation, power analysis, calibration.
  • SQL proficiency for ad-hoc analysis on PostgreSQL; comfortable with embedded analytical databases for offline evaluation.
  • Experience with vector databases and embedding models.
  • Ability to translate business goals into measurable evaluation criteria, and willingness to push back when a “metric” doesn’t measure what stakeholders thin

What We Offer:

  • Competitive salary and benefits package.
  • A fast-paced, high-impact work environment.
  • Opportunity to work closely with executive leadership.
  • The chance to work with cutting-edge technologies and make a significant impact.
  • A culture of innovation, ownership, and growth.