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Drift Jobs in Decatur, GA (NOW HIRING)

Monitor model performance, drift, fairness, explainability, data quality, and business effectiveness in partnership with engineering teams. * Create model documentation, explainability summaries ...

Establish monitoring frameworks for performance, drift, and continuous improvement * Ensure alignment with responsible AI principles (fairness, transparency, accountability) and regulatory ...

Define the KPIs that matter - provisioning speed, compliance drift, patch latency, device trust posture - and build the telemetry and automation to track, report on, and continuously improve them.

Define the KPIs that matter - provisioning speed, compliance drift, patch latency, device trust posture - and build the telemetry and automation to track, report on, and continuously improve them.

Senior Machine Learning Test Engineer

Atlanta, GA · On-site +1

$106K - $138K/yr

Build quality gates for training and deployment pipelines (e.g., regression checks, drift detection) * Contribute to multi-team projects and codebases, ensuring code quality and consistency

DevOps Engineer IV 4P/763

Atlanta, GA · On-site

$50.75 - $69.50/hr

... drift detection, and automated response. · Develop and support agent-based AI systems and modern DevOps practices. Required Qualifications · Bachelor's degree in Computer Science, Information ...

Showing results 21-40

Drift information

See Decatur, GA salary details

$8

$21

$31

How much do drift jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for drift in Decatur, GA is $21.85, according to ZipRecruiter salary data. Most workers in this role earn between $19.23 and $23.94 per hour, depending on experience, location, and employer.

What is a drift?

A Drift, in most professional contexts, refers to a role associated with the company Drift, which specializes in conversational marketing and sales software. People working at Drift typically help businesses engage website visitors through chatbots, real-time messaging, and automation tools to accelerate sales and improve customer experience. Their responsibilities may include software development, customer support, sales, marketing, or product management, all focused on enhancing digital conversations. Drift employees work to create seamless communication between businesses and their customers, often using AI-driven solutions. The specific duties depend on the exact position within the company.

What are the key skills and qualifications needed to thrive as a drift driver?

To thrive as a Drift Driver, you need advanced car control skills, in-depth knowledge of vehicle dynamics, and experience in motorsport, often supported by a valid racing or motorsport license. Mastery of high-performance vehicles, familiarity with safety gear, and understanding of telemetry systems are typically required. Quick decision-making, concentration under pressure, and strong communication with pit crews are standout soft skills in this role. These abilities ensure safety, competitive performance, and effective teamwork in the fast-paced, high-risk environment of drift racing.

What are some typical challenges faced by drift operators, and how can they effectively address them?

Drift Operators often encounter challenges such as monitoring complex underground mining equipment, ensuring safety protocols are strictly followed, and responding quickly to unexpected issues like equipment malfunctions or hazardous conditions. Effective communication with team members and supervisors is crucial, as is staying current with safety training and operational procedures. Proactively identifying potential hazards and being adaptable in problem-solving are key strategies to excel in this role.

What is the difference between Drift vs Chatbot Developer?

AspectDriftChatbot Developer
Primary RoleDesigns and manages live chat and conversational marketing toolsDevelops and programs chatbots for various platforms
Required SkillsCustomer engagement, marketing automation, basic codingProgramming, AI, natural language processing
Work EnvironmentMarketing teams, SaaS companies, customer supportDevelopment teams, AI firms, tech companies
CertificationsMarketing automation, CRM toolsProgramming languages, AI certifications

Drift focuses on live chat and conversational marketing tools used primarily in sales and customer support, while Chatbot Developers create AI-driven chatbots across platforms. Both roles require technical skills, but Drift roles lean more toward marketing automation, whereas Chatbot Developers focus on AI programming and natural language processing.

What are popular job titles related to Drift jobs in Decatur, GA?

For Drift jobs in Decatur, GA, the most frequently searched job titles are:

What cities near Decatur, GA are hiring for Drift jobs?

Cities near Decatur, GA with the most Drift job openings:

Infographic showing various Drift job openings in Decatur, GA as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $45,441 per year, or $21.8 per hour.

Senior Data Scientist

Fiserv, Inc.

Alpharetta, GA • On-site

Full-time

Posted 27 days ago


Fiserv rating

7.7

Company rating: 7.7 out of 10

Based on 95 frontline employees who took The Breakroom Quiz

106th of 150 rated financial services


Job description

Calling all innovators - find your future at Fiserv.
We're Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants, and consumers to one another millions of times a day - quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we're involved. If you want to make an impact on a global scale, come make a difference at Fiserv.
Job Title
Senior Data Scientist
About Your role:
As a Senior Data Scientist, you will help shape the modeling, analytics, experimentation, and machine learning capabilities that support Merchant Opportunity Analysis (MOA) and Offer Engine within the Digital Onboarding team. Merchant Opportunity Analysis (MOA) refers to the analytical capability used to identify merchant needs, growth opportunities, product fit, and offer recommendations that can improve onboarding, personalization, and customer acquisition outcomes within Digital Onboarding.
This role will focus on developing models and analytical approaches that improve onboarding experiences, customer acquisition, personalization, offer relevance, and measurable business outcomes. You will work hand in hand with Data & ML Engineers, backend engineers, product teams, analytics partners, and business stakeholders to turn customer, merchant, product, and application data into actionable insights and production-ready machine learning solutions.
What You'll Do:
  • Develop machine learning models, scoring approaches, and analytical methods that support MOA, Offer Engine, customer insights, personalization, and onboarding optimization.
  • Analyze customer, merchant, application, product, behavioral, and operational data to identify patterns and improvement opportunities.
  • Build and refine models for segmentation, recommendation, propensity, similarity matching, ranking, personalization, and offer relevance.
  • Partner with Data & ML Engineers to define feature requirements, validate feature quality, and transition models into production workflows.
  • Design and evaluate experiments, A/B tests, champion/challenger approaches, and KPI measurement frameworks.
  • Translate business objectives into data science solutions that improve customer acquisition, onboarding completion, engagement, and offer performance.
  • Monitor model performance, drift, fairness, explainability, data quality, and business effectiveness in partnership with engineering teams.
  • Create model documentation, explainability summaries, analytical narratives, and stakeholder-ready recommendations.
  • Collaborate with Product, Analytics, Marketing, Engineering, and Business stakeholders to embed model outputs into Digital Onboarding experiences.
  • Contribute to responsible AI practices, model governance, reproducibility, and enterprise ML standards.

Experience You'll Need to Have:
  • 8+ years of experience in data science, machine learning, applied statistics, advanced analytics, or ML engineering.
  • Strong hands-on experience with Python, SQL, pandas, scikit-learn, and common data science libraries.
  • Experience building classification, clustering, recommendation, propensity, ranking, segmentation, or similarity-based models.
  • Experience working with customer, merchant, application, product, transaction, or behavioral datasets.
  • Strong understanding of feature engineering, model validation, experimentation, performance measurement, and model explainability.
  • Experience using cloud-based data and ML platforms such as AWS SageMaker, Snowflake, S3, Glue, or comparable platforms.
  • Ability to partner with engineering teams to productionize models and support MLOps practices.
  • Strong analytical storytelling skills with the ability to explain model outcomes, trade-offs, and recommendations to non-technical stakeholders.
  • Understanding of data quality, model drift, bias, fairness, monitoring, and responsible AI practices.
  • Strong collaboration skills across product, engineering, analytics, marketing, and business teams.
  • Bachelor's degree in Computer Science, Information Technology, Information Systems, or a related field (or equivalent industry experience).

Experience That Would Be Great to Have:
  • Experience supporting offer engines, recommendation systems, personalization platforms, customer acquisition, or digital onboarding.
  • Experience with nearest-neighbor matching, merchant segmentation, propensity modeling, uplift modeling, next-best-action, or look-alike modeling.
  • Experience designing experiments, A/B tests, champion/challenger models, and business impact measurement frameworks.
  • Experience with MLOps, model registries, feature stores, automated retraining, and model monitoring.
  • Experience within financial services, fintech, payments, merchant services, or digital commerce.
  • Experience with Generative AI, LLM-powered analytics, Agentic workflows, or AI-assisted model development.
  • Advanced degree in data science, statistics, computer science, engineering, mathematics, economics, or a related field.

Important information about this role:
  • This role is on-site Monday through Friday. Fiserv considers in-person collaboration to be an essential part of this role as in-person office experiences help you with your overall onboarding experience and leads to stronger productivity.
  • This is a full-time, direct-hire position, and no contract options for unsolicited agency submissions will be considered.
  • All offers of employment are contingent on standard background checks. Fiserv and certain of its affiliated companies are federal, state, and/or local government contractors. Should this position support a Federal Government contract, now or in the future, the successful candidate will be subject to a background check conducted by the U.S. Government to determine eligibility and suitability for federal contract employment for public trust or sensitive positions. Positions that support state and/or local contracts also may require additional background checks to determine eligibility and suitability.

#LI-MK1
This role is not eligible to be performed in Colorado, California, District of Columbia, Hawaii, Illinois, Massachusetts, Maryland, Minnesota, New Jersey, New York, Nevada, Rhode Island, Vermont, Virginia, Maine or Washington.
It is unlawful to discriminate against a prospective employee due to the individual's status as a veteran.
Please note that salary ranges provided for this role on external job boards are salary estimates made by outside parties and may not be accurate.
Thank you for considering employment with Fiserv. Please:
  • Apply using your legal name
  • Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable).

Our commitment to Equal Opportunity:
Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law.
If you have a disability and require a reasonable accommodation in completing a job application or otherwise participating in the overall hiring process, please contact AskHR.US@fiserv.com. Please note our AskHR representatives do not have visibility to your application status. Current associates who require a workplace accommodation should refer to Fiserv's Disability Accommodation Policy for additional information.
Note to agencies:
Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions.
Warning about fake job posts:
Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address.

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