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Physics Informed Machine Learning Jobs in Georgia

Principal Advanced Analytics

Atlanta, GA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You will apply advanced statistical, machine learning, and time-series forecasting techniques to ... Physics. 7+ years of related experience. Certification is required in some areas. Our Principal ...

AI Engineer

Atlanta, GA · On-site

$50K - $112K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... informed decision-making and driving business growth. Within our Internal Firm Services practice ... Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ...

... advise your clients as they make informed decisions. Ultimately, you'll provide a deep ... Experience applying data science and machine learning techniques including logistic regression ...

Lead AI and Data Science Engineer II

Atlanta, GA · On-site

$98K - $129K/yr

Data science applies statistical analysis, machine learning, and AI to identify meaningful patterns ... informed people and business decisions by translating workforce data into actionable insights ...

... advise your clients as they make informed decisions. Ultimately, you'll provide a deep ... Experience applying data science and machine learning techniques including logistic regression ...

Data Scientist, Senior

Augusta, GA · On-site

$62.50 - $69.72/hr

... advise your clients as they make informed decisions. Ultimately, you'll provide a deep ... Experience applying data science and machine learning techniques including logistic regression ...

... advise your clients as they make informed decisions. Ultimately, you'll provide a deep ... Experience applying data science and machine learning techniques including logistic regression ...

Data Scientist, Senior

Augusta, GA · On-site

$62.50 - $69.72/hr

... advise your clients as they make informed decisions. Ultimately, you'll provide a deep ... Experience applying data science and machine learning techniques including logistic regression ...

Sr Data Scientist

Atlanta, GA · On-site

$94.50 - $115.50/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Your main objective is to leverage advanced analytics and machine learning techniques to deeply ... physics or engineering. What You'll Get * Up to 40% off the base rate of any standard Hertz Rental

CTIO AI Engineering Manager

Atlanta, GA · On-site

$73K - $244K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data science and machine learning engineering at ...

Managed Services - Data, Analytics & AI - Manager

Atlanta, GA · On-site

$99K - $232K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... make informed business decisions. They utilise advanced analytics techniques to help clients ... Responsibilities - Oversee the thorough delivery of AI and machine learning projects - Inspire and ...

Showing results 41-60

Physics Informed Machine Learning information

What is a physics informed machine learning?

A Physics Informed Machine Learning (PIML) job involves developing AI models that integrate physics-based principles to improve accuracy, interpretability, and generalization. Professionals in this role use machine learning techniques alongside domain knowledge in physics, engineering, or applied sciences to solve complex problems in areas like fluid dynamics, materials science, and climate modeling. Responsibilities often include designing algorithms, implementing simulations, and validating results against experimental or real-world data. Employers typically seek expertise in deep learning, numerical methods, and programming languages like Python.

What are the typical challenges faced by professionals working in physics informed machine learning roles?

Professionals in Physics Informed Machine Learning often encounter challenges integrating complex physical theories with advanced machine learning models, requiring deep domain knowledge and strong technical skills. Balancing model accuracy with computational efficiency and ensuring that models are both interpretable and generalizable can be demanding. Collaboration with domain experts, data scientists, and engineers is common, as projects often span multiple disciplines. Successfully navigating these challenges provides valuable experience and is highly regarded, often leading to further career advancement in research, engineering, or leadership positions.

What are the key skills and qualifications needed to thrive in the physics informed machine learning position, and why are they important?

To thrive in Physics Informed Machine Learning, you need a solid background in physics, strong mathematical and statistical skills, and experience with machine learning algorithms, typically supported by an advanced degree in a relevant field. Proficiency with programming languages like Python, frameworks such as TensorFlow or PyTorch, and familiarity with numerical simulation tools are commonly required. Effective problem-solving, clear communication, and the ability to collaborate with interdisciplinary teams make a significant impact in this role. These capabilities are essential for developing robust, interpretable machine learning models that leverage physical laws to solve complex, real-world problems.

What cities in Georgia are hiring for Physics Informed Machine Learning jobs?

Cities in Georgia with the most Physics Informed Machine Learning job openings:

Infographic showing various Physics Informed Machine Learning job openings in Georgia as of August 2026, with employment types broken down into 6% Internship, 38% Full Time, 45% Part Time, and 11% Contract. Highlights an 100% In-person job distribution.

Principal Advanced Analytics

AT&T

Atlanta, GA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


AT&T rating

7.3

Company rating: 7.3 out of 10

Based on 729 frontline employees who took The Breakroom Quiz

53rd of 99 rated telecommunications companies


Job description

This position requires office presence of a minimum of 5 days per week and is only located in the location(s) posted. No relocation is offered.

Principal, Advanced Analytics (Forecasting & Predictive Modeling)

Lead Forecasting. Translate Performance. Drive Executive Decision-Making.

The Local Market Forecasting & Performance Analytics team is seeking a highly analytical, technically proficient, and AI-centric leader to serve as

Principal, Advanced Analytics.

This team is responsible for developing and maintaining the forecasting models, analytical frameworks, and predictive insights that enable market leaders to anticipate future performance and make informed business decisions. We provide the forecasting discipline, statistical rigor, and advanced analytical capabilities necessary to support planning, performance management, and strategic decision-making across Wireless, Fiber, and AIA.

As an AI-first organization, we expect leaders to leverage machine learning, AI-enabled analytics, advanced statistical modeling, automation, and emerging technologies to improve forecast accuracy, accelerate insight generation, and enhance organizational effectiveness. Successful candidates will embrace AI as a core component of how forecasting and analytics are performed while continuously seeking opportunities to improve model performance, scalability, and business impact.

In this role, you will lead the development of forecasting methodologies and predictive models used to project gross adds, disconnects, net adds, and subscriber trends across markets, products, and channels. You will apply advanced statistical, machine learning, and time-series forecasting techniques to develop daily, weekly, monthly, and quarterly forecasts that identify emerging trends, quantify future performance, and provide visibility into risks and opportunities.

You will partner closely with Forecasting, Finance, Pricing, Offers, Marketing, Go-to-Market, and market leadership teams to align forecast assumptions, improve forecasting methodologies, and translate complex analytical outputs into executive-ready insights.

This position requires deep quantitative expertise, strong programming and modeling skills, forecasting discipline, business acumen, and the ability to connect sophisticated analytical methods to practical business decisions.

Key Responsibilities

Forecast Development & Predictive Modeling

  • Develop and maintain forecasting models across Wireless, Fiber, and AIA products supporting daily, weekly, monthly, quarterly, and annual planning horizons.
  • Build market-level, channel-level, and market-by-channel forecasting models for gross adds, disconnects, and net adds.
  • Apply advanced time-series forecasting methodologies, machine learning techniques, and predictive analytics to improve forecast accuracy and responsiveness.
  • Develop forecasting frameworks that incorporate seasonality, promotions, pricing changes, marketing activity, competitive dynamics, economic indicators, and operational factors.
  • Continuously evaluate and refine model performance using back-testing, error analysis, and model validation techniques.

Advanced Analytics & Data Science

  • Design and implement statistical and machine learning models using Python and related analytical tools.
  • Utilize forecasting methodologies including Prophet, ARIMA-type approaches, gradient boosting, ensemble techniques, and other advanced modeling frameworks where appropriate.
  • Develop scalable forecasting processes that support multiple products, channels, markets, and planning horizons.
  • Identify leading indicators and predictive drivers that improve understanding of future performance.
  • Evaluate emerging analytical methodologies and technologies that enhance forecasting accuracy and business insight generation.

Forecast Performance & Diagnostics

  • Monitor actual results versus forecast to identify model performance issues, forecast variance drivers, and emerging trends.
  • Conduct forecast diagnostics to understand performance changes across products, markets, channels, and customer segments.
  • Develop drivers-based waterfall analyses illustrating how individual business factors, opportunities, risks, and strategic actions impact forecasted outcomes.
  • Quantify the impact of promotions, pricing changes, marketing initiatives, competitive actions, and operational performance on forecast expectations.
  • Develop methodologies to explain forecast changes in a clear and repeatable manner.

Forecast Automation & AI Enablement

  • Build automated forecasting pipelines that reduce manual effort and improve forecast consistency.
  • Leverage AI-enabled analytics, machine learning, automation, and agentic workflows to improve forecasting processes and accelerate insight generation.
  • Develop scalable solutions capable of supporting increasingly granular forecasting needs across markets, channels, and products.
  • Partner with data engineering and technology teams to improve forecasting infrastructure, data availability, and model deployment processes.
  • Serve as an AI champion by identifying opportunities to automate recurring analytical work and improve forecasting effectiveness.

Executive Reporting & Strategic Insights

  • Translate complex statistical outputs into executive-ready narratives and recommendations.
  • Present forecast results, risks, opportunities, and business implications to senior leaders and cross-functional stakeholders.
  • Support leadership reviews with clear explanations of forecast changes, assumptions, and expected outcomes.
  • Develop reporting routines that improve visibility into forecast performance, accuracy, and business drivers.
  • Partner with leadership teams to ensure forecasts support planning, investment decisions, and operating priorities.

Qualifications

  • Experience in forecasting, advanced analytics, data science, business intelligence, economics, statistics, operations research, or related quantitative disciplines.
  • Proven experience developing and deploying forecasting models in complex business environments.
  • Strong expertise in time-series forecasting, statistical modeling, and predictive analytics.
  • Advanced proficiency in Python, SQL, Databricks, Snowflake, and related analytical technologies.
  • Experience with Prophet, machine learning frameworks, forecasting methodologies, and model evaluation techniques.
  • Strong understanding of forecasting concepts including seasonality, trend analysis, causal modeling, feature engineering, model validation, and forecast accuracy measurement.
  • Experience building scalable forecasting solutions across multiple products, channels, markets, or business segments.
  • Ability to translate sophisticated analytical findings into clear business implications and actionable insights.
  • Strong executive communication and storytelling skills.
  • Demonstrated experience leveraging AI, automation, and advanced analytics to improve business outcomes.
  • Experience supporting sales, marketing, pricing, forecasting, finance, operations, or go-to-market organizations is highly desirable.
  • Strong project management, collaboration, organizational, and leadership skills.
  • Ability to thrive in a fast-paced environment while balancing technical rigor, business relevance, and executive responsiveness.

Supervisor: No

Education/Experience: Master's degree (MS/MA) desired from an accredited University in a Quantitative field of study such as Data Science, Math, Statistics, Engineering or Physics. 7+ years of related experience. Certification is required in some areas.

Our Principal Advanced Analytics jobs earn between $141,300.00 - $237,400.00 USD Annual. Not to mention all the other amazing rewards that working at AT&T offers. Individual starting salary within this range may depend on geography, experience, expertise, and education/training.

Joining our team comes with amazing perks and benefits:

  • Medical/Dental/Vision coverage
  • 401(k) plan
  • Tuition reimbursement program
  • Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays)
  • Paid Parental Leave
  • Paid Caregiver Leave
  • Additional sick leave beyond what state and local law require may be available but is unprotected
  • Adoption Reimbursement
  • Disability Benefits (short term and long term)
  • Life and Accidental Death Insurance
  • Supplemental benefit programs: critical illness/accident hospital indemnity/group legal
  • Employee Assistance Programs (EAP)
  • Extensive employee wellness programs
  • Employee discounts up to 50% off on eligible AT&T mobility plans and accessories, AT&T internet (and fiber where available) and AT&T phone

Weekly Hours:

40

Time Type:

Regular

Location:

Atlanta, Georgia, Dallas, Texas

Salary Range:

$141,300.00 - $237,400.00

AT&T and its subsidiaries are committed to equal employment opportunity. All hiring, promotion, and other employment decisions remain merit-based and free from discrimination on the basis of race, color, religion, religious creed, national origin, ancestry, age, sex, sexual orientation, gender, gender identity, gender expression, physical disability, mental disability, pregnancy, medical condition, genetic information, marital status, citizenship status, military status, veteran status, or any other characteristic protected by federal, state, or local laws. In addition, AT&T will provide reasonable accommodations to qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made. Click here to learn more or request an application accommodation here.


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