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Data Scientist Forecasting Jobs in Georgia (NOW HIRING)

Summary The Data Scientist position is in the Logicpath division within Loomis. We are a team of ... This role will lead complex forecasting initiatives, develop AI-driven use cases (including LLM ...

Summary The position of Data Scientist is for the Logicpath division within Loomis. We are a team ... This role will lead complex forecasting initiatives, develop AI-driven use cases (including LLM ...

Summary The position of Data Scientist is for the Logicpath division within Loomis. We are a team ... This role will lead complex forecasting initiatives, develop AI-driven use cases (including LLM ...

Summary The position of Data Scientist is for the Logicpath division within Loomis. We are a team ... This role will lead complex forecasting initiatives, develop AI-driven use cases (including LLM ...

Summary The position of Data Scientist is for the Logicpath division within Loomis. We are a team ... This role will lead complex forecasting initiatives, develop AI-driven use cases (including LLM ...

Summary The position of Data Scientist is for the Logicpath division within Loomis. We are a team ... This role will lead complex forecasting initiatives, develop AI-driven use cases (including LLM ...

Summary The position of Data Scientist is for the Logicpath division within Loomis. We are a team ... This role will lead complex forecasting initiatives, develop AI-driven use cases (including LLM ...

Summary The position of Data Scientist is for the Logicpath division within Loomis. We are a team ... This role will lead complex forecasting initiatives, develop AI-driven use cases (including LLM ...

Position Summary As a Data Scientist, you will be responsible for developing and implementing ... forecasting, anomaly detection, leak detection, and predictive maintenance. • Analyze large-scale ...

Position Summary As a Data Scientist, you will be responsible for developing and implementing ... forecasting, anomaly detection, leak detection, and predictive maintenance. • Analyze large-scale ...

Data Scientist

Atlanta, GA · On-site +1

$95K - $110K/yr

Data Scientist Revenue Analytics is a SaaS company that helps companies make better revenue ... Build machine learning and AI solutions that support pricing, forecasting, and revenue management ...

Data Scientist Revenue Analytics is a SaaS company that helps companies make better revenue ... Build machine learning and AI solutions that support pricing, forecasting, and revenue management ...

Position Summary As a Senior Data Scientist, you will be responsible for designing and implementing ... forecasting, anomaly detection, leak detection, and predictive maintenance. • Develop and deploy ...

Position Summary As a Senior Data Scientist, you will be responsible for designing and implementing ... forecasting, anomaly detection, leak detection, and predictive maintenance. • Develop and deploy ...

Senior Data Scientist (Machine Learning & MLOps) Our client is seeking a Data Scientist (Machine ... Experience with anomaly detection, predictive maintenance, forecasting, or other advanced machine ...

You will play an important role in shaping our forecasting processes, from architecting innovative ... Data Science team, and final conversations with our COO and CEO.

You will be responsible for implementing forecast and strategy solutions using Cognira ... Data Science team, and final conversations with our COO and CEO.

You will be responsible for implementing forecast and strategy solutions using Cognira ... Data Science team, and final conversations with our COO and CEO.

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Showing results 1-20

Data Scientist Forecasting information

See Georgia salary details

$31.7K

$103.6K

$165.9K

How much do data scientist forecasting jobs pay per year?

As of Aug 6, 2026, the average yearly pay for data scientist forecasting in Georgia is $103,638.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,200.00 and $114,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the data scientist forecasting position, and why are they important?

To thrive as a Data Scientist Forecasting, you need a robust background in statistics, time series analysis, and predictive modeling, usually backed by a degree in a quantitative field. Expertise with programming languages like Python or R, experience with machine learning libraries, and familiarity with forecasting tools such as Prophet or ARIMA are typically expected, along with relevant certifications. Strong problem-solving abilities, communication skills, and an analytical mindset help distinguish exceptional candidates. These skills are essential to translating complex data into actionable business insights and accurate forecasts that drive organizational decision-making.

What is a data scientist forecasting?

A Data Scientist Forecasting job focuses on analyzing historical data to build predictive models that forecast future trends, demands, or outcomes. This role involves working with statistical modeling, machine learning, and time series analysis to generate actionable insights. Data Scientist Forecasters commonly work in industries like finance, retail, supply chain, and marketing to improve decision-making. Strong programming skills in Python or R, proficiency with data visualization, and knowledge of forecasting techniques are essential for this role.

What are typical daily tasks for a data scientist forecasting?

As a Data Scientist specializing in forecasting, your daily tasks often include collecting and preprocessing time series data, building and testing predictive models, and analyzing trends to improve forecast accuracy. You will collaborate with cross-functional teams, such as business analysts and product managers, to understand forecasting needs and present your findings clearly to stakeholders. Regularly, you'll also monitor model performance, experiment with new algorithms or features, and refine existing solutions based on business feedback and emerging data. This dynamic role offers a blend of independent analytical work and teamwork, making each day both challenging and rewarding.

What are the most commonly searched types of Data Scientist Forecasting jobs in Georgia? The most popular types of Data Scientist Forecasting jobs in Georgia are:
What are popular job titles related to Data Scientist Forecasting jobs in Georgia? For Data Scientist Forecasting jobs in Georgia, the most frequently searched job titles are:
Infographic showing various Data Scientist Forecasting job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $103,638 per year, or $49.8 per hour.

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 29 days ago


Job description

Must have unrestricted authorization to work in the U.S. without the need for employer sponsorship.

Summary

The Data Scientist position is in the Logicpath division within Loomis. We are a team of tech-savvy cash inventory management experts passionate about helping financial institutions succeed. 

We provide a collaborative and supportive environment that values the participation and contribution of all employees. We are looking for people who want to be challenged, solve complex problems, and feel connected to a larger purpose. Our mission-focused team, collaborative nature, and commitment lead to dedication to client results. 

Function

The Data Scientist will play a critical role in designing, scaling, and operationalizing advanced analytics and machine learning solutions across the company’s FinTech platforms. This role will lead complex forecasting initiatives, develop AI-driven use cases (including LLM-enabled support tools), and establish strong data quality and model governance practices.

This position requires a hands-on technical leader who can translate real-world operational and financial problems into robust, production-ready data science solutions, while partnering closely with engineering, product, implementation, and client-facing teams.

The ideal candidate combines strong statistical and machine learning expertise with practical engineering ability and a track record of delivering production-grade solutions in environments where communication, business processes, data quality, and operational constraints matter as much as model performance. This very technical person is capable of thinking in terms of “problem -> solution -> product -> value”, not just “models”.

Key Responsibilities 

Forecasting & Advanced Analytics

  •  Lead the design, development, and optimization of forecasting models for:

o Cash demand (branches, ATMs, retail locations, vaults)

o Labor and operational workload forecasting

  • Apply and evaluate time-series, probabilistic, and machine-learning techniques to improve forecast accuracy and stability.
  • Own model performance monitoring, drift detection, recalibration strategies, and continuous improvement.

AI, ML, & LLM Enablement

  • Design and implement LLM-based use cases to support internal teams (e.g., support, implementation, operations).
  • Develop approaches for prompt engineering, evaluation, and governance of LLM outputs.
  • Partner with engineering to integrate AI capabilities into production SaaS workflows.
  •  Define metrics to measure effectiveness, accuracy, and operational impact (ROI) of AI solutions.

Data Quality, Governance & Model Risk

  •  Establish data quality frameworks to detect anomalies, gaps, and integrity issues across large transactional datasets.
  • Define validation rules, thresholds, and scoring mechanisms to support data confidence and forecast reliability.
  • Contribute to model documentation, explainability, and governance practices aligned with financial services expectations.
  • Support audit, compliance, and client due diligence inquiries related to data and models.
  • Technical Leadership & Collaboration

   Required Qualifications

  • 6+ years of professional experience in data science, machine learning, or advanced analytics
  • Advanced proficiency with Python and data science libraries (e.g., pandas, NumPy, scikit-learn, TensorFlow/Torch)
  • Strong SQL skills and experience working with messy, incomplete, high-volume operational data
  • Well-rounded background in data science methods (e.g., supervised and unsupervised learning, anomaly detection, time series forecasting, survival analysis, simulation, optimization, causal analysis)
  • Familiarity with metric design
  • Demonstrated delivery of products that influenced business decisions
  • Experience collaborating with engineering teams on model deployment and monitoring.
  • Proven ability to communicate complex concepts clearly and effectively.

Preferred Qualifications

  • Experience in FinTech, banking, payments, retail cash management, or operations
  • Experience identifying high-value data science opportunities in operational businesses
  • Hands-on LLM development experience
  • Familiarity with data quality and model governance frameworks

Ideal Candidates are:

  • Comfortable with ambiguity
  • Driven to elevate themselves by elevating others
  • Curious and lifelong learners
  • Able to identify valuable problems before being asked
  • Pragmatic rather than purely academically focused
  • Capable of explaining very technical ideas to non-technical stakeholders
  • Willing to challenge their own and others’ assumptions with evidence
  • Open to changing their mind when presented with new evidence

What Success Looks Like

· Forecasting models that are accurate, explainable, and trusted by clients and internal teams.

· AI and LLM use cases that measurably reduce operational effort and improve response quality.

· Strong data quality visibility that proactively identifies issues before they impact forecasts.

· Clear, well-documented models and methodologies that scale across clients and use cases.

· A collaborative, high-impact partnership with engineering, product, and client

Benefits:

Loomis offers one of the most comprehensive employee benefit packages in the industry, which includes:

  • Vacation and Sick Time (PTO) as well as Paid Holidays
  • Health & Dental Insurance
  • Vision Insurance
  • 401(k) Plan
  • Basic Life Insurance Plan
  • Voluntary Life Insurance Plan
  • Flexible Spending and Health Savings Account
  • Dependent Care Account
  • Industry-leading Training and Development