Delivery Consultant - Data Architect, AWS Professional Services, AWS Professional Services, AWS Professional Services
Amazon 4.7
Data scientist job in Atlanta, GA
The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team
at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS
solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer
success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle.
You will lead customer-focused project teams as a technical leader and perform hands-on development of Data &
Analytics solutions with exceptional quality.
Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in
architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You'll work
closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration
strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies,
and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best
practices, optimizing performance, and managing risks throughout the project.
The AWS Professional Services organization is a global team of experts that help customers realize their desired business
outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to
execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help
customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our
global specialty practices, which cover a variety of solutions, technologies, and industries.
Key job responsibilities
As an experienced technology professional, you will be responsible for:
- Leading project teams, designing and implementing end-to-end large-scale, complex, scalable, and secure Data Analytics AWS solutions tailored to customer needs
- Providing technical guidance and troubleshooting support throughout project delivery
- Collaborating with stakeholders to gather requirements and propose effective Data & Analytics migration and modernization strategies
- Acting as a trusted advisor to customers on industry trends and emerging technologies, ensuring compliance with industry standards and governance while aligning data solutions with business strategies.
- Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts
About the team
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture - Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to
never stop embracing our uniqueness.
Mentorship & Career Growth - We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Basic Qualifications
- 7+ years of technical specialist, design and architecture experience
- 5+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience
- 7+ years of consulting, design and implementation of serverless distributed solutions experience
- 5+ years of software development with object oriented language experience
- 3+ years of cloud based solution (AWS or equivalent), system, network and operating system experience
- 7+ years of external or internal customer facing, complex and large scale project management experience
- 5+ years of cloud architecture and solution implementation experience
- Bachelor's degree, or 7+ years of professional or military experience
Preferred Qualifications
- degree in advanced technology, or AWS Professional level certification
- Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies
- Knowledge of security and compliance standards including HIPAA and GDPR
- Experience in performance optimization and cost management for cloud environments
- Experience communicating technical concepts to diverse audiences in pre-sales environments
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $138,200/year in our lowest geographic market up to $239,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************* . This position will remain posted until filled. Applicants should apply via our internal or external career site.
$138.2k-239k yearly 5d ago
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Data Scientist Gen AI
EXL 4.5
Data scientist job in Atlanta, GA
Job Title: DataScientist - GenAI
Work Experience: 5+ Years
On-site requirement: 4 days per week at Atlanta office
We are looking for a highly capable and innovative DataScientist with experience in Generative AI to join our Data Science Team. You will lead the development and deployment of GenAI solutions, including LLM-based applications, prompt engineering, fine-tuning, embeddings, and retrieval-augmented generation (RAG) for enterprise use cases.
The ideal candidate has a strong foundation in machine learning and NLP, with hands-on experience in modern GenAI tools and frameworks such as OpenAI, LangChain, Hugging Face, Vertex AI, Bedrock, or similar.
Key Responsibilities:
Design and build Generative AI solutions using Large Language Models (LLMs) for business problems across domains like customer service, document automation, summarization, and knowledge retrieval.
Fine-tune or adapt foundation models using domain-specific data.
Implement RAG pipelines, embedding models, vector databases (e.g., FAISS, Pinecone, ChromaDB).
Collaborate with data engineers, MLOps, and product teams to build end-to-end AI applications and APIs.
Develop custom prompts and prompt chains using tools like LangChain, LlamaIndex, PromptFlow, or custom frameworks.
Evaluate model performance, mitigate bias, and optimize accuracy, latency, and cost.
Stay up to date with the latest trends in LLMs, transformers, and GenAI architecture.
Required Skills:
5+ years of experience in Data Science / ML, with 1+ year hands-on in LLMs / GenAI projects.
Strong Python programming skills, especially in libraries such as Transformers, LangChain, scikit-learn, PyTorch, or TensorFlow.
Experience with OpenAI (GPT-4), Claude, Mistral, LLaMA, or similar models.
Knowledge of vector search, embedding models (e.g., BERT, Sentence Transformers), and semantic search techniques.
Ability to build scalable AI workflows and deploy them via APIs or web apps (e.g., FastAPI, Streamlit, Flask).
Familiarity with cloud platforms (AWS/GCP/Azure) and MLOps best practices.
Excellent communication skills with the ability to translate technical solutions into business impact.
Preferred Qualifications:
Experience with prompt tuning, few-shot learning, or LoRA-based fine-tuning.
Knowledge of data privacy and security considerations in GenAI applications.
Familiarity with enterprise architecture, SDLC, or building GenAI use cases in regulated domains (e.g., finance, insurance, healthcare).
For more information on benefits and what we offer please visit us at **************************************************
$67k-91k yearly est. 1d ago
Sr. Data Scientist - Visa Commercial Solutions
Visa 4.5
Data scientist job in Atlanta, GA
Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.
At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world.
Progress starts with you.
Job Description
Visa cards play a crucial role in allowing our commercial solutions partners to pay and be paid. From large enterprises to small businesses, companies depend on Visa to allow their employees ease of operation in the digital payments ecosystem and to provide them with services that can help them gain valuable insights into their customers spending as well as their own spending. The Global Data Science group supports these commercial partners by using our outstandingly rich data set that spans more than 3 billion cards globally and collects more than 100 billion transactions in a single year. Our focus lies on building creative solutions that have an immediate impact on the business of our highly analytical partners. We work in complementary teams comprising members from Data Science and various groups at Visa. To support our rapidly growing group we are hiring DataScientists who are equally passionate about the opportunity to use Visa's rich data to solve meaningful business problems.
Essential Functions
Brainstorm innovative ways to use our unique data to answer business problems
Use LLM-based systems for natural language processing, data quality evaluation, and performance evaluation
Connect with internal clients to understand the challenges they face and convince them with data
Extract and understand data to form an opinion on how to best help our clients and derive relevant insights
Develop visualizations to make your sophisticated analyses accessible to a broad audience
Identify and create key metrics and dashboards to track program success
Find opportunities to craft products out of analyses that are suitable for multiple clients
Mine and analyze data from company databases to drive optimization and improvement of product, marketing techniques and business strategies for Visa and its clients
Work collaboratively with DataScientists, Data Engineers and other cross-functional partners to tailor analyses and solutions to the needs of the business
Assess the efficiency and accuracy of new data sources and data gathering techniques
Develop custom data models and algorithms to apply to data sets
Use predictive modeling to increase and optimize customer experiences, revenue generation, data insights, and other business outcomes
Synthesize ideas/proposals in writing and engage in productive discussions with external or internal partners
This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager.
Qualifications
Basic Qualifications
5 or more years of relevant work experience with a Bachelors Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD
Preferred Qualifications
6 or more years of work experience with a Bachelors Degree or 4 or more years of relevant experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or up to 3 years of relevant experience with a PhD
4+ years' experience in data-based decision-making or quantitative analysis
Master's degree in Statistics, Operations Research, Applied Mathematics, Economics, Data Science, Business Analytics, Computer Science, or a related technical field
Extracting and aggregating data from large data sets using SQL/Hive or Spark
Analyzing large data sets using programming languages such as Python, R, SQL and/or Spark
Generating and visualizing data-based insights in software such as Tableau
Advanced knowledge and experience of AI/ML model development and implementation
Experienced with building AI/ML model pipelines and creating robust and scalable AI/ML solutions.
Experience working with LLMs in a production environment
Track record of creating robust and scalable AI/ML/Data Science solutions and products
Additional Information
Work Hours: Varies upon the needs of the department.
Travel Requirements: This position requires travel5-10% of the time.
Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code.
U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is 137,200 to 199,100 USD per year. Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.
$75k-97k yearly est. 2d ago
Property & Casualty Actuary - PR13022
Pryor Associates Executive Search
Data scientist job in Atlanta, GA
Property & Casualty Actuary opening in NJ or GA. Play key role in pricing E&S business involving General Liability, Commercial Auto, Workers Compensation, and Commercial Property; perform profitability analysis; design, build, and maintain pricing models and monitoring tools/reports; participate in reinsurance purchasing; collaborate with Underwriters, Claims, Finance, and senior management. Ideal candidate is ACAS or FCAS with 6+ years of P&C experience including General Liability pricing; background in Excel, Power BI, SQL, Python, or R advantageous. (PR13022)
$61k-95k yearly est. 4d ago
Data Engineer
Insight Global
Data scientist job in Atlanta, GA
*Role is Onsite 4 days a Week, Monday - Thursday in Atlanta*
*Role is an Ongoing Contract*
This position is hiring a Data Engineer with experience focused on testing data in a software engineering capacity. Some of that data might live in relational systems, this role focuses on monitoring data quality as it moves through a data lake. This role is specifically focusing on implementing QA testing for AI analytical models. A strong knowledge of machine learning processes and frameworks is required. As a Quality Assurance Data Engineer, you will play a crucial role in ensuring the integrity, reliability, and high performance of our decision-making data platform. Your expertise will be pivotal in enforcing data quality standards, performing rigorous testing, detecting, and resolving data issues, and supporting the continuous improvement of our software development processes. With strong analytical and communication skills, this role brings attention to detail and technical expertise to the testing process, ensuring the delivery of robust and error-free data analytical solutions through both manual and automated testing. In this role, you will ensure the quality and reliability of our AI models and systems, playing a critical part in the development and improvement of our AI-driven products.
*role can pay $50-$80 an hour based on YOE*
$50-80 hourly 3d ago
Maintenance Data Coordinator
Isuzu North America
Data scientist job in Piedmont, SC
JOIN US AT ISUZU - MOVING THE WORLD, FOR YOU
Isuzu is seeking a detail-oriented and dependable Maintenance Data Coordinator to support operations at our new state-of-the-art assembly facility in Greenville County. As a global leader in medium-duty commercial trucks, Isuzu is committed to sustainability, innovation, and customer satisfaction. Our vehicles span internal combustion, electric, and alternative fuel platforms-built with quality and reliability at the core.
At Isuzu, we embrace change, value accuracy, and build strong operational foundations from day one. This role plays a critical part in ensuring reliable maintenance data that supports safe, efficient, and high-performing plant operations. Come help move the world with us.
ABOUT THE FACILITY
Isuzu North America Corporation is investing approximately $280 million in a new 1 million-square-foot manufacturing facility in Greenville County, SC. Strategically located near I-85, I-26, and the Port of Charleston, the plant will produce N-Series Gas, N-Series Electric, and F-Series Diesel trucks. The facility will feature advanced flexible production lines and is expected to create more than 700 new jobs by its planned 2027 launch.
WHAT YOU NEED
• High school diploma or GED required
• Minimum of 2 years of experience in data entry, administrative support, or maintenance systems within a manufacturing or industrial environment
• Experience with CMMS or maintenance tracking systems preferred
• Proficiency in Microsoft Office (Excel, Word, Outlook)
• Strong attention to detail and data accuracy
• Effective organizational and time management skills
• Clear communication skills and ability to work cross-functionally
• Ability to maintain confidentiality and handle data professionally
WHAT YOU WILL DO
• Enter, update, and maintain maintenance data within the CMMS, including work orders, equipment records, and parts usage
• Maintain accurate logs of completed maintenance tasks and preventive maintenance schedule adherence
• Track and record material consumption and inventory usage to support inventory accuracy
• Assist in generating reports related to equipment downtime, preventive maintenance compliance, and parts activity
• Coordinate closely with maintenance technicians to ensure timely and accurate data capture
• Update equipment history and records based on completed repairs or improvements
• Organize, file, and archive maintenance documents, drawings, and manuals
• Support audit activities by providing accurate historical maintenance data
• Follow established data entry standards and procedures to ensure consistency and accuracy
• Perform other duties as assigned to support maintenance and plant objectives
WHAT WE'RE LOOKING FOR
• A detail-focused professional who takes pride in data accuracy
• A reliable team player who collaborates effectively with maintenance and support teams
• Someone comfortable working onsite in a manufacturing environment
• An individual who values process, consistency, and continuous improvement
• A candidate aligned with Isuzu's mission:
Moving the World, For You
COMPENSATION & BENEFITS
• Competitive base pay
• Annual merit increase opportunities
• Annual performance bonus eligibility
• Paid time off
• Comprehensive healthcare plan
• 401(k) Savings Plan with company match
• Annual Retirement Contribution (ARC)
• Tuition Reimbursement
• Paid Parental Leave
• Family Building, Fertility & Adoption Support
WHY JOIN
• Be part of a greenfield startup for a global automotive leader
• Support foundational maintenance and asset reliability processes
• Work in a collaborative, team-oriented manufacturing environment
• Contribute to building long-term operational excellence
• Help bring 700+ new jobs to South Carolina
$53k-74k yearly est. 1d ago
Data Analyst
Talent Software Services 3.6
Data scientist job in Columbia, SC
Are you an experienced Data Analyst with a desire to excel? If so, then Talent Software Services may have a job for you! Our client is seeking an experienced Data Analyst for a contract hire to work at their company in Columbia, SC (Hybrid).
Primary Responsibilities/Accountabilities:
Development & Consultative Work (Customer-Facing)
Facilitate meetings with business stakeholders
Gather, document, and validate requirements
Understand I/S business processes to design effective data solutions
Develop dashboards, reports, automation, and analytics solutions
Collaborate with management and cross-functional teams
Present findings, insights, and solutions to internal customers
Balance both technical problem-solving and business consulting skills
Recurring / Operational Data Work
Execute recurring, repeatable reporting and operational tasks
Deliver timely and accurate insights for business decision-making
Handle ad-hoc reporting and data analyses as needed
Maintain and monitor automated reporting processes
Review recurring reports annually to ensure continued business value
Ensure quality, consistency, accuracy, and meaningful insights
Strong SQL BI expertise
Highly analytical with proven research skills
Confident communicator who can run meetings and work with business partners
Able to build dashboards, automate data flows, and present insights
Thrives in both structured operational tasks and open-ended development work
Collaborative, consultative, and solution-focused
Qualifications:
Advanced knowledge of Microsoft Office.
Knowledge of programming languages across various software platforms, using DB2, SQL, and/or relational databases.
Knowledge of tools such as Visual Basic and Macros useful in automating reporting processes.
Bachelor's degree in:
Statistics
Computer Science
Mathematics
Business
Healthcare
Or a related field
Degree Equivalency Options: Associate degree plus 2 years reporting/data analysis experience, OR 4 years reporting/data analysis experience (no degree required)
4 years research & data analysis experience
6 years research & data analysis experience (mid-senior level)
Strong SQL (core requirement)
Power BI
Advanced Microsoft Excel
Ability to train subordinate staff including providing assistance/guidance to staff in design/execution of reporting needs.
Proven experience with report writing and technical requirements analysis, data and business process modeling/mapping, and methodology development.
Strong understanding of relational database structures, theories, principles, and practices.
Preferred:
Computer programming skills.
Negotiation or persuasion skills.
Knowledge of ICD9/CPT4 coding.
Knowledge of the healthcare delivery system.
SAS experience.
Work environment: Typical office environment. Some travel between buildings and out of town.
Tableau
Power Automate
Python
GitHub
MS Access
$54k-74k yearly est. 3d ago
SR Data Engineer
Alliance Technical Group 4.8
Data scientist job in Atlanta, GA
Summary/Objective Alliance Technical Group is seeking an experienced Senior Data Engineer to design, build, and optimize the databases and data systems that power our business intelligence and analytics platforms. In this role, you will lead the creation of scalable pipelines, data models, and cloud-based architecture that ensures reliable, high-quality data across the organization. You will architect and implement new database solutions, drive migration and optimization efforts in PostgreSQL and Snowflake, and advance data governance initiatives. Working in an agile, cross-functional environment, you will translate business needs into scalable solutions while ensuring security, integrity, and performance. This role is ideal for someone who thrives on building data platforms from the ground up and shaping enterprise data strategy.
This position is remote but may follow a hybrid schedule for candidates located within 60 miles of an Alliance office.
Essential Functions
Architect and implement new databases and data platforms to meet business and technical requirements
Build and maintain scalable ELT/ETL pipelines and data models for analytics and reporting
Manage and optimize database environments, including provisioning, performance tuning, and access controls
Implement and manage automation and workflow orchestrations for reliable, repeatable deployments
Ensure data quality, consistency, and compliance through robust validation and monitoring practices
Collaborate with cross-functional teams to define technical requirements, estimate development efforts, and deliver business-aligned solutions
Troubleshoot complex issues, recommend improvements, and maintain clear documentation of data systems, processes, and solutions proposed/implemented
Mentor junior data engineers, providing technical guidance, code reviews, and best practices
Required Qualifications
Bachelor's degree in Computer Science, Information Systems, or related field (or equivalent experience)
10+ years of hands-on experience with relational databases, including designing and implementing new database systems
Knowledge, Skills, & Abilities
Proven experience designing and building new databases and large-scale data systems, particularly in PostgreSQL and Snowflake; hands-on experience with dbt
Demonstrated ability to develop and optimize ELT/ETL pipelines for complex data sets
Experience with cloud architecture, workflow orchestration, and Git-based version control
Knowledge of data governance, data quality, and validation practices
Strong troubleshooting and root-cause analysis skills
Excellent communication skills and experience working in agile, cross-functional teams
Working knowledge of Python preferred, familiarity with data visualization principles a plus
Work Environment
While performing the duties of this job, the employee regularly works in an office setting with constant sitting and occasional standing.
Physical Demands
Prolonged periods of sitting or standing at a desk while using a computer.
Travel
Not Applicable
Other Duties
Please note this job description is intended to describe the general nature and level of work performed by employees assigned to this position. It is not designed to contain or be interpreted as a comprehensive list of all duties, responsibilities, and qualifications. Additional job-related duties may be assigned. Alliance reserves the right to amend and change responsibilities to meet business and organizational needs as necessary with or without notice.
Employee Benefits: Key Benefits Include:
- Medical, Dental, and Vision Insurance
- Flexible Spending Accounts
- 401(K) Plan with Competitive Match
- Continuing Education and Tuition Assistance
- Employer-Sponsored Disability Benefits
- Life Insurance
- Employee Assistance Program (EAP)
- Paid Time Off (PTO), Paid Holidays, & Bonus Floating Holiday (if hired before July 1st)
- Profit Sharing or Individual Bonus Programs
- Referral Program
- Per Diem & Paid Travel
- Employee Discount Hub
Salary based upon experience.
EEO Commitment: We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, national origin, ethnicity, sex, pregnancy, sexual orientation, gender identity/expression, including transgender identity, religion, disability, age, genetics, active military or veteran status and any other characteristics protected under applicable federal or state law.
$81k-108k yearly est. 3d ago
C&SCM Systems & Data Intern (Summer Intern)
Savannah River Nuclear Solutions 4.5
Data scientist job in Aiken, SC
13-Jan-2026
C&SCM Systems & Data Intern (Summer Intern)
Supply Chain Management
10376BR
Who We Are
As the Savannah River Site's management and operations contractor since 2008, Savannah River Nuclear Solutions (SRNS) makes the world safer. With safety and security in the forefront, SRNS develops innovative approaches to deliver on our environmental commitments and nuclear materials challenges; supplies products and services necessary to maintain the nation's nuclear deterrent; secures nuclear materials to prevent unwanted proliferation; and transforms nuclear materials into assets and stable wasteforms.
The SRNS workforce is highly capable, engaged, and adaptable to meet existing and expanding missions. SRNS employees apply superior expertise and innovative solutions to complex and challenging national and global issues. We have the knowledge to address a range of national and international nuclear issues. We make the world safer - and you can, too.
Some Typical Duties & Responsibilities Include:
The hourly base rate of pay for this internship starts at $18.00, and may increase based on major and class standing.
Intern will apply aptitude for data analysis and software to support management of the Supply Chain Management business information system and a variety of systems related projects.
Required Qualifications
Must have a cumulative GPA of at least 2.5.
Must be a full-time student at an accredited four-year college or university, or within one year after finishing a degree program.
Must have completed freshman year of college.
Must successfully complete Savannah River Site General Employee Training and substance abuse processing.
We'd Also Like to See
Proficiency with Microsoft Excel
Security Clearance Information
SRNS is required by DOE to conduct a pre-employment drug test and background review that includes checks of personal references, credit, criminal records, and employment history, and education verifications. Positions with SRNS may require applicants to obtain and maintain a DOE L or Q-level security clearance, which requires U.S. citizenship. Factors such as pre-employment background review results, dual citizenship status, and unpaid and/or unfiled taxes may impact your ability to obtain a security clearance. This list of factors is not exhaustive; pre-employment information and security clearance requests are reviewed on a case-by-case basis.
Note:
SRNS is an Equal Employment Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability, or protected veteran status. SRNS utilizes the Disabled Veteran Enhancement Opportunities program which is aimed at improving employment opportunities for disabled veterans at the Savannah River Site (SRS). SRNS is also committed to making our workplace accessible to individuals with disabilities and will provide reasonable accommodations, upon request, for individuals to participate in the application and hiring process. To request such an accommodation, you may contact us by phone at , or by e-mail at .
Job Expires
31-Jan-2026
$18 hourly 4d ago
Data Scientist
Parker's Kitchen 4.2
Data scientist job in Savannah, GA
We are looking for a DataScientist with expertise in optimization and forecasting to help improve how we manage labor, staffing, and operational resources across our retail locations. This role is critical in building models and decision-support tools that ensure the right people, in the right place, at the right time - balancing customer service, efficiency, and cost. You will work closely with Operations, Finance, and Store Leadership teams to deliver practical solutions that improve labor planning, scheduling, and demand forecasting. The right candidate will be confident, resourceful, and excited to own both the technical and business-facing aspects of applying data science in a fast-paced retail environment.
Responsibilities:
Build and maintain forecasting models (time-series, machine learning, and statistical) for sales and transactions.
Develop and deploy optimization models (linear/mixed-integer programming, heuristics, simulation) to improve workforce scheduling and labor allocation.
Partner with operations and finance to translate forecasts into actionable staffing and labor plans that reduce costs while maintaining service levels.
Build dashboards and automated tools to track forecast accuracy, labor KPIs, and staffing effectiveness.
Provide insights and “what-if” scenario modeling to support strategic workforce and budget planning.
Knowledge, Skills, and Abilities:
Strong foundation in forecasting techniques (time-series models, regression, machine learning) and optimization methods (linear/mixed-integer programming, heuristics, simulation).
Proficiency in Python or R for modeling and analysis, along with strong SQL skills for working with large-scale datasets.
Knowledge of statistics, probability, and applied mathematics to support predictive and prescriptive modeling.
Experience building and deploying predictive models, optimization tools, and decision-support solutions that drive measurable business outcomes.
Strong data storytelling and visualization skills using tools such as Power BI, Tableau, or Looker.
Ability to translate analytical outputs into clear, actionable recommendations for non-technical stakeholders.
Strong collaboration skills with the ability to partner cross-functionally with Operations, Finance, and Store Leadership to drive adoption of data-driven approaches.
Ability to work independently and resourcefully, combining technical depth with practical problem-solving to deliver results in a fast-paced environment.
EDUCATION AND REQUIREMENTS
Required:
Bachelor's or Master's degree in Data Science, Statistics, Applied Mathematics, Industrial Engineering, Operations Research, or related field.
Minimum 2-3 years of professional experience in Data Science or a related area.
Strong skills in time-series forecasting (e.g., ARIMA, Prophet, ML-based approaches).
Proficiency in optimization techniques (linear programming, integer programming).
Strong Python or R programming skills.
SQL expertise for large, complex datasets.
Strong communication skills with the ability to partner with business stakeholders.
Preferred:
Experience in Retail, Restaurant, and/or Convenience Stores a plus.
Experience with cloud platforms (Snowflake, AWS, GCP, Azure).
Knowledge of BI tools (Tableau, Power BI, Looker).
PHYSICAL REQUIREMENTS
Prolonged periods sitting/standing at a desk and working on a computer
Must be able to lift up to 50 pounds
$73k-100k yearly est. 60d+ ago
Data Scientist
Tata Consulting Services 4.3
Data scientist job in Atlanta, GA
Must Have Technical/Functional Skills Proficiency in Python, SQL, and R programming languages. Hands-on experience with Domo, SAS, and web development languages. Strong knowledge of cloud platforms (AWS, Azure) and big data ecosystems (Hadoop). Expertise in machine learning techniques and statistical modeling.
Excellent data visualization and storytelling skills.
Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or related field.
Preferred Skills
Experience with advanced analytics and big data tools.
Familiarity with NLP, deep learning frameworks, and modern visualization libraries.
Strong problem-solving and communication skills.
Roles & Responsibilities
* Design and implement predictive models and machine learning algorithms to solve business problems.
* Perform feature selection using techniques such as PCA, Lasso, and Elastic Net.
* Develop and deploy models using algorithms like Linear & Logistic Regression, SVM, Decision Trees, XGBoost, Hist Gradient Boosting, and LightGBM.
* Utilize cloud technologies (AWS, Azure, Hadoop) for scalable data solutions.
* Create interactive dashboards and visualizations using tools like Domo, Tableau, PowerBI, D3.js, and Matplotlib.
* Communicate insights through compelling data storytelling for diverse stakeholders.
* Collaborate with cross-functional teams to integrate data solutions into business processes.
Salary Range-$100,000-$125,000 a year
#LI-KR3
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
$100k-125k yearly 15d ago
Data Scientist I
Unum Group 4.4
Data scientist job in Dunwoody, GA
When you join the team at Unum, you become part of an organization committed to helping you thrive. Here, we work to provide the employee benefits and service solutions that enable employees at our client companies to thrive throughout life's moments. And this starts with ensuring that every one of our team members enjoys opportunities to succeed both professionally and personally. To enable this, we provide:
+ Award-winning culture
+ Inclusion and diversity as a priority
+ Performance Based Incentive Plans
+ Competitive benefits package that includes: Health, Vision, Dental, Short & Long-Term Disability
+ Generous PTO (including paid time to volunteer!)
+ Up to 9.5% 401(k) employer contribution
+ Mental health support
+ Career advancement opportunities
+ Student loan repayment options
+ Tuition reimbursement
+ Flexible work environments
**_*All the benefits listed above are subject to the terms of their individual Plans_** **.**
And that's just the beginning...
With 10,000 employees helping more than 39 million people worldwide, every role at Unum is meaningful and impacts the lives of our customers. Whether you're directly supporting a growing family, or developing online tools to help navigate a difficult loss, customers are counting on the combined talents of our entire team. Help us help others, and join Team Unum today!
**General Summary:**
This position for a developing datascientist who is excited to transform data into actionable insights and impact the business through his/her work. The role requires increasing technical expertise in the fields of computer programming, applied statistics and data manipulation; and relies on developing business knowledge. The individual will participate in project work primarily within the functional area, with direction and review by manager. The individual is expected to continuously increase business knowledge and take initiative in identifying and executing analytical approaches to support assigned projects.
**Job Specifications**
+ Bachelor's degree in quantitative field is preferred
+ 2 years preferred of professional experience or equivalent relevant work experience
+ **Core Data Science Capabilities:** Deep expertise in at least one of the following skillsets preferred, with basic capability in the others:
+ Programming & Process automation: Experience using APIs, file I/O, database, and analysis libraries. Understanding of programming in jupyter notebooks and/ or statistical packages. Understanding of process mapping and demonstrated application of scripting languages to automate processes. Exposure to data mining and web scraping.
+ Data Visualization: Working knowledge of two or more data visualization tools and proficiency in static data visualization. Basic understanding of dynamic data visualization
+ Statistics & Statistical modeling: Solid understanding of statistical inference and regression. Basic understanding of machine learning techniques including random forests and neural nets. Basic understanding of feature selection and extraction which may include analysis of categorical data, multiple comparisons, Central Limit Theorem, bootstrapping, and permutation tests
+ **Data Extraction, Transformation, and Loading** (ETL) skillsets preferred: Expertise in writing complex SQL queries that join multiple tables/databases. Given a business problem, independently explore databases/tables to identify best data sources. Demonstrates ability to troubleshoot complex SQL queries written by others with little guidance.
+ **Core business capabilities** : basic communication skills, exposure to financial services industry, and attention to detail and ability to prioritize while working on multiple projects keeping track of due dates
+ **Leadership Capabilities:** Ability to coach or mentor team members, respond quickly and positively to change, adheres to technical best practices by collaborating with team members to deliver high quality output
+ **Preferred characteristics** : Entrepreneurial self-starter. A thorough, results-oriented problem-solver, and a lifelong learner with voracious curiosity. Basic understanding of their organization.
**Principal Duties and Responsibilities**
- Design and execute analytical solutions using statistical, optimization, simulation and data mining methods with a focus on delivering actionable insights and partnership to deliver business value.
- Integrate large volume of data from different sources (including DB2, SQL Server, Web API and Teradata) to create data assets and perform analyses
- Apply validation, aggregation and reconciliation techniques to create rich modeling-ready data framework.
- Construct predictive models using machine learning to explain and understand observed events, forecast expected behavior, or identify risk through scoring or clustering.
- Familiarity with AI agents like github co-pilot, MS co-pilot to speed through code development and self - learning.
- Knowledge of working with LLMs and agent libraries like Langgraph. Langchain & OpenAI SDK.
- Efficiently interpret results and communicate findings and potential value to manager.
- Support integration of solutions within existing business processes using automation techniques.
- Understand theory and application of current and emerging statistical methods and tools.
- Knowledge of tools - Python, VS code, Databricks, Azure, AWS, Streamlit, tableau, SQL
- Perform other related duties as assigned
\#LI-TO1
\#LI-MULTI
IN4
Unum and Colonial Life are part of Unum Group, a Fortune 500 company and leading provider of employee benefits to companies worldwide. Headquartered in Chattanooga, TN, with international offices in Ireland, Poland and the UK, Unum also has significant operations in Portland, ME, and Baton Rouge, LA - plus over 35 US field offices. Colonial Life is headquartered in Columbia, SC, with over 40 field offices nationwide.
Unum is an equal opportunity employer, considering all qualified applicants and employees for hiring, placement, and advancement, without regard to a person's race, color, religion, national origin, age, genetic information, military status, gender, sexual orientation, gender identity or expression, disability, or protected veteran status.
The base salary range for applicants for this position is listed below. Unless actual salary is indicated above in the job description, actual pay will be based on skill, geographical location and experience.
$60,500.00-$123,400.00
Additionally, Unum offers a portfolio of benefits and rewards that are competitive and comprehensive including healthcare benefits (health, vision, dental), insurance benefits (short & long-term disability), performance-based incentive plans, paid time off, and a 401(k) retirement plan with an employer match up to 5% and an additional 4.5% contribution whether you contribute to the plan or not. All benefits are subject to the terms and conditions of individual Plans.
Company:
Unum
$60.5k-123.4k yearly 6d ago
Data Scientist
Southern Company 4.5
Data scientist job in Atlanta, GA
**DataScientist - Advanced Metering Infrastructure (AMI) Analytics** Alabama Power Company Corporate Headquarters - Birmingham, AL Georgia Power Company Corporate Headquarters - Atlanta, GA
Mississippi Power Corporate Headquarters - Gulfport, MS
**Job Summary:**
The DataScientist within APC Power Delivery's AMI Analytics team plays a strategic role in advancing data-driven decision-making and operational efficiency across business units. This position blends analytical depth, technical expertise, and business insight to deliver scalable AI solutions that support AMI initiatives. The successful candidate will lead data science efforts, assess feasibility of advanced analytics use cases, and establish robust frameworks for AI deployment and monitoring within the AMI data domain.
**Key Responsibilities:** AI/ML Strategy & Use Case Development
- Identify and evaluate AI/ML opportunities aligned with AMI business objectives.
- Stay current on emerging technologies and educate the team on their practical applications.
**Algorithm Design & Model Optimization**
- Develop and refine machine learning models to solve complex problems using enterprise-scale data.
- Continuously adopt new tools and techniques to enhance model performance and scalability.
**Framework Development & MLOps Integration**
- Architect and implement an AMI-specific AI development framework under the AMI Governance Committee.
- Integrate MLOps practices for seamless cloud deployment, monitoring, and lifecycle management.
- Collaborate with cross-functional teams to provision ETL workflows and CI/CD pipelines.
**Documentation & Reporting**
- Produce clear, comprehensive documentation to support transparency, reproducibility, and stakeholder communication.
**Collaboration & Mentorship**
- Partner with end-users to understand analytical needs and co-create data-driven solutions.
- Mentor team members to foster skill development and promote a culture of continuous learning.
**Job Requirements: Education & Experience**
- Master's degree in Computer Science, Mathematics, Statistics, Data Analytics, Data Science, Machine Learning, or Artificial Intelligence.
- Minimum 5 years of experience in a technically focused, data-driven environment building supervised and unsupervised Machine Learning models.
**Knowledge, Skills & Abilities:**
- Programming & Data Engineering: Proficient in Python and R; working knowledge of Spark, Pandas, T-SQL, and PL-SQL.
- Model Development: Skilled in building predictive and prescriptive models, feature engineering, and ML algorithms.
- Cloud & Integration: Experience with Azure-based ML deployment, data migration, and integration across diverse datasets.
- Generative AI & LLMs: Familiarity with Generative AI and Large Language Models; hands-on experience is a plus.
- Debugging & Optimization: Strong analytical skills for monitoring and troubleshooting data pipelines and solutions.
- Communication & Influence: Ability to translate technical concepts into actionable business insights and influence decisions across organizational levels.
- Consulting & Collaboration: Proven ability to work cross-functionally and deliver strategic recommendations through data storytelling.
- Learning & Adaptability: Self-driven learner with awareness of industry trends and emerging technologies.
- Multitasking & Prioritization: Capable of managing multiple projects, adapting to shifting priorities, and delivering results in a dynamic environment.
**Behavioral Attributes:**
The ideal candidate will embody Southern Company's core behaviors of Unquestionable Trust, Superior Performance, and Total Commitment, and demonstrate:
- Innovation and results orientation
- Strategic thinking with an enterprise mindset
- Commitment to continuous improvement and development of others
- Strong partnership-building skills
- Ability to work independently and collaboratively
- Decisiveness and agility
- High ethical standards
- Being on-site at the HQ office 4 days a week.
Alabama Power provides safe, reliable, and affordable electricity to 1.5 million customers across the lower two-thirds of Alabama.
For more information, visit ******************** and connect with the company on Facebook (Facebook.com/AlabamaPower), Twitter (Twitter.com/AlabamaPower), LinkedIn (Linkedin.com/company/alabama-power), and Instagram (Instagram.com/alabamapower).
Southern Company (NYSE: SO ) is a leading energy provider serving 9 million customers across the Southeast and beyond through its family of companies. Providing clean, safe, reliable and affordable energy with excellent service is our mission. The company has electric operating companies in three states, natural gas distribution companies in four states, a competitive generation company, a leading distributed energy solutions provider with national capabilities, a fiber optics network and telecommunications services. Through an industry-leading commitment to innovation, resilience and sustainability, we are taking action to meet customers' and communities' needs while advancing our goal of net-zero greenhouse gas emissions by 2050. Our uncompromising values ensure we put the needs of those we serve at the center of everything we do and are the key to our sustained success. We are transforming energy into economic, environmental and social progress for tomorrow. Our corporate culture has been recognized by a variety of organizations, earning the company awards and recognitions that reflect Our Values and dedication to service. To learn more, visit *********************** .
Southern Company invests in the well-being of its employees and their families through a comprehensive total rewards strategy that includes competitive base salary, annual incentive awards for eligible employees and health, welfare and retirement benefits designed to support physical, financial, and emotional/social well-being. This position may also be eligible for additional compensation, such as an incentive program, with the amount of any bonus/awards subject to the terms and conditions of the applicable incentive plan(s). A summary of the benefits offered for this position can be found here **************************************************** . Additional and specific details about total compensation and benefits will also be provided during the hiring process.
Southern Company is an equal opportunity employer where an applicant's qualifications are considered without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, sexual orientation, gender identity or expression, or any other basis prohibited by law.
Job Identification: 16309
Job Category: Data Analytics
Job Schedule: Full time
Company: Alabama Power
$64k-82k yearly est. 15d ago
Data Scientist
Charter Global 4.0
Data scientist job in Atlanta, GA
Charter Global is a global Information Technology and Solutions provider with more than 19 years of proven track record in gaining customer confidence. We support our customer needs in Asia-Pacific, Europe and the Americas (North and Latin). Our customers are in a variety of vertical industries: Energy, Finance, Healthcare,
Government, Retail, Fulfillment Logistics, Manufacturing and Telecom.
Charter Global has honed the processes, methodologies, tools and functions to deliver software services via a Global Delivery Model which blends in local and remote resources to get the job done - consistently
Here is the Job details:
Title: DataScientist
Location: Atlanta, GA / Dallas, TX
Duration: 12+ Months
Job Description:
· Oversees and performs end-top-end data based research. Design data mining solutions to be implemented and executed with alignment to the planned scope and design coverage and needs/uses, leveraging knowledge and a broad understanding of E2E business processes and requirements.
· Defines the data analytics research plan, scope and resources required to meet the objectives of his/her area of ownership (segments of the project/engagement). This includes:- Analyzing the data and identifying data sources- Determining appropriate types of data analytics to be performed- Selecting and applying data analysis techniques to ensure that recommendations and predictions provide an adequate level of confidence based on defined coverage criteria- Designing repeatable, verifiable and traceable analytical models
· Identifies and analyses new data analytic directions and their potential business impact to determine the proper prioritization of data analytics activities based on business needs and analytics ROI.
· Identifies data sources, oversees the data collection process and designs the data structure in collaboration with data experts (BI or big-data) and subject matter and business experts. Ensures that data used in the data analysis activities are of the highest quality.
· Constructs data models (algorithms and formulas) for required business needs and predictions.
· Works closely with content experts and managers to pinpoint queries, map data, and validate results. Maintains and enhances the professional and business relationship with internal stakeholders.
· Facilitates presentations on how to use the data. Offers practical solutions to be used by the end decision makers.
· Presents results, including the preparation of patents and white papers and facilitating presentations during conferences.
· Effectively participates in and/or leads formal and informal reviews with stakeholders, applying knowledge and experience and providing insights from a professional perspective.
· Prepares results in such a way they will be convenient for use. Provides professional support for team members and keeps them informed of assignments/ project status. Provides for training and support for other team members.
· Explores and examines data from multiple sources. The DataScientist sifts through all incoming data with the goal of discovering previously hidden insights, which, in turn, can provide a competitive advantage or address a pressing business problem. A DataScientist does not simply collect and report on data, but also looks at it from many angles, determines what it means, and then recommends ways to apply the data.
· Participates in technical designs of the wrapped product, which will run the model. Ensures that the model is properly used, that data inputs are supplied correctly and in a timely manner. Verifies that the correct data population is being processed. Ensures that that the output of the model is used correctly and that business objectives are being targeted.
· Participates in the development stages of the wrapped product, including design, development, QA, implementation and production. This is particularly critical when the Development and Implementation teams find it difficult to understand and evaluate the model's objectives and benefits)
Critical Experiences
:
· Masters in mathematics, statistics or computer science or related field - Ph D. degree preferred
· 5 or more years of relevant quantitative and qualitative research and analytics experience
· Solid knowledge of statistical techniques
· The ability to come up with solutions to loosely defined business problems by leveraging pattern detection over potentially large datasets
· Strong programming skills (such as Hadoop MapReduce or other big data frameworks, Java), statistical modeling (like SAS or R)
· Experience using machine learning algorithms
· High proficiency in the use of statistical packages
· Proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms
· Strong communication and interpersonal skills
· Knowledge of telecommunications and of the subject area being investigated - advantage.
Additional Information
Technical Expertise
$64k-87k yearly est. 1d ago
Jr. Data Scientist
Tech Consulting 3.9
Data scientist job in Atlanta, GA
DataScientist
Are you seeking to grow and enhance your technical career to new heights, in a full-time, W-2 opportunity?
What if an organization existed solely for the purpose of investing in YOU, being of service to YOU, showing you how, and supporting you every step of the way?
Is a customized and personalized approach to your learning journey, career development, and overall ability to maximize your earning potential important to you?
Let's make it happen - together!
What's In It For YOU?
Full time, W-2 employment, with FREE, paid 9 week training in React Native development (an Industry-Proof Technology) at our headquarters in Atlanta, GA
Complete and total support post training to secure and thrive while working for end-clients
Paid corporate-sponsored housing during above mentioned training
Relocation assistance for training and all projects, as needed
Robust W2 employee benefits
Full coverage medical, dental, vision insurance coverage through Cigna Open Access POS plans
401K eligibility after one calendar year of employment, 3% company match
Basic life/AD&D, Dependent Disability (short/long term) coverage
Work visa sponsorship for Foreign Nationals
Opportunity for nationwide U.S. travel
Company-sponsored technical certifications, as necessary, per technology
Learn to become a best-in-class engineer, developer, and consultant
Development in proven soft skills and interviewing skills methods
An expert technical engineer development program
Project deliverable support (once on project)
Exposure to a breadth and depth of best-practice production environments, code bases, and tech stacks with 100's of industry-leading end clients
Opportunities to assist our end clients across multiple states architect, test, deploy, maintain, document, and scale upward
Who Are We?
First - we're a top-tier IT consulting firm, providing best-in-class React Native Development solutions for companies across an array of industries including finance, energy, ecomm, logistics, travel, retail, entertainment, auto, and healthcare. We serve many end clients, some of which include Microsoft, Google, Johnson & Johnson, Fannie Mae, Walmart, PayPal, T-Mobile, McDonalds, CVS, Verizon, Charter, Nike, Dell, Wells Fargo, Capital One, Charles Schwab...just to name a few!
As a consultant, this means you, too, will have these well-known, industry-leading end-client experiences when you join our team!
Second - we're a people development firm. When you join our organization, you come to us with the required foundational technical skills, coding ability, educational degree, and general understanding that will serve as a foundation to learning React development. It's our mission to mentor, develop, and train you, as mentioned above, to learn React development, so you can then gain experience and provide world-class consultative services to our end clients.
Company Highlights
Our Expertise: IT consultative services and quality engineer development through recruiting, hiring, and coaching our consultants
Longevity: 25+ years of combined domestic and international experience in IT consulting
Depth: Hundreds of Fortune 1000, 500, and innovative start-up end clients with 1000's of successfully completed and on-going projects across the US, EU, and UK
Global Reach: Employee work force is diverse, spanning across 4 continents of North America, Europe, South America, and Asia
Growth & Innovation: Active monitoring and measurement of the market across all technological sectors to adapt to and implement what's "next”
How We Will Help You
Teach and Develop: We will instruct and train you in React Native development to become a best-in-class consultant through our proven method and program, capable of delivering end-client deliverables, through our paid, 6-8-week training course
Customized Support: Several teams will be ready to support and collaborate with you in a custom-tailored way; this includes our teams of Development Managers, Tech Subject Manager Experts, Project Deliverable Support, Corporate Trainers, Interview Coaches, Client
Placement Specialists, and Immigration Specialists (for our foreign national candidates)
Project Placement: Our dedicated market-expertise sales team will help you seek, secure and maintain a project with our myriad end clients
Career Growth: You will gain the necessary industry experience to drive and propel your technical profession forward for many years to come!
What You Bring to the Role
Master's degree from an accredited college/university in Computer Science, Statistics, Mathematics, Engineering, Econometrics, or related fields, PhD is preferred. Alternatively,
Bachelor's Degree with at least 2 years' experience as a Data Analyst, DataScientist, or Research Assistant
5+ years of work history with 2 of the 5+ years being in an IT related role.
Strong Proficiency in Python or Java programming language, or expertise with functional/object- oriented programming.
Ability to translate objectives to a project plan with milestones, and resource/technology requirements, and teach, lead, and manage projects/people/clients to successful execution
Ability to work across multiple engagements with clients to assess needs, provide assistance, and resolve problems, using structured problem solving and communication to both technical and non- technical audiences
Availability to travel (80% after Training portion) and live in the U.S
Strong English written and verbal communication skills
Nice-to-have:
Experience with command-line scripting, data structures and algorithms and ability to work in a Linux environment, processing large amounts of data in a cloud environment
Experience in machine learning, artificial intelligence and/or artificial neural networks o Proficiency in applying various mathematical and statistical models to include, but
not limited to: discrete event simulation, factor analysis, genetic algorithms, Bayesian probability models, hidden Markov models, sensitivity analysis, sampling, probability, multivariate data analysis, regression, PCA, time-series analysis
o Broad understanding of databases (e.g. SQL, NoSQL, Lucene, Mongo), and high-performance or distributed processing (e.g. using MapReduce, Spark, Pig, and/or Hive)
o Experience with visualization software (Tableau, D3, MicroStrategy, PowerBI) o Experience delivering solutions in an Agile environment
o Experience with Tensorflow, Theano or Keras
o Portfolio of public & private data science projects you're proud of (GitHub, Kaggle,
DrivenData, etc.)
o Publications in peer-reviewed journals
o Other programming languages such as Scala, Java, R
$66k-90k yearly est. 60d+ ago
Data Scientist
Nextgen 3.6
Data scientist job in Georgia
The DataScientist will contribute to the development of AI and Generative AI (GenAI) models and workflows tailored for the healthcare domain. This role will work on building solutions that address real-world challenges. This role offers an exciting opportunity to apply knowledge of GenAI, machine learning, and healthcare-specific requirements while collaborating with a multidisciplinary team of experts.
Develop workflows to enhance the efficiency and accuracy of note-taking in healthcare settings.
Collaborate with data engineers, product teams, and clinical experts to ensure solutions align with healthcare workflows and standards.
Address healthcare-specific challenges such as HIPAA compliance, medical terminology integration, and adherence to standards like ICD, CPT, and HL7/FHIR.
Stay updated with the latest advancements in GenAI, NLP, computer vision, and healthcare AI technologies.
Perform other duties that support the overall objective of the position.
Education Required:
Bachelor's degree (or higher) in Computer Science, Data Science, Artificial Intelligence, or a related field.
Or, any combination of education and experience which would provide the required qualifications for the position.
Experience Required:
Experience working with multiple GenAI models, including open-source.
Experience with natural language processing (NLP) and computer vision techniques.
Experience in data preprocessing and model deployment.
Knowledge, Skills & Abilities:
Knowledge of: Strong foundational knowledge of generative AI techniques and frameworks (e.g., Transformers, GPT, diffusion models). Proficiency in machine learning tools and frameworks such as TensorFlow, PyTorch, or Scikit-learn. Familiarity with healthcare data structures, workflows, and challenges (e.g., EMR/EHR integration, ICD/CPT coding, HL7/FHIR). Knowledge of voice recognition and transcription technologies is a plus.
Skill in: Strong programming skills in Python or similar languages. Strong problem-solving skills and a growth mindset.
Ability to: Eagerness to learn and adapt in a fast-paced, mission-driven environment.
The company has reviewed this to ensure that essential functions and basic duties have been included. It is intended to provide guidelines for job expectations and the employee's ability to perform the position described. It is not intended to be construed as an exhaustive list of all functions, responsibilities, skills and abilities. Additional functions and requirements may be assigned by supervisors as deemed appropriate. This document does not represent a contract of employment, and the company reserves the right to change this job description and/or assign tasks for the employee to perform, as the company may deem appropriate.
NextGen Healthcare is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
$65k-88k yearly est. Auto-Apply 60d+ ago
Staff Data Science Consultant - Retail Planning Solutions
Blue Yonder
Data scientist job in Richmond Hill, GA
Title: Staff Data Science Consultant - Retail Planning Solutions Travel: Ability to travel across North America up to 50% Overview: Blue Yonder's Professional Services team is seeking a Staff Data Science Consultant (DSC) to join our Retail Planning Solutions group. In this role, you'll partner with customers to unlock the full value of their business through data-driven insights and intelligent decision support. You'll serve as a trusted advisor by recommending software configuration options, implementing optimized solutions, and ensuring our customers achieve maximum value from their Blue Yonder investments.
What you'll do:
* Algorithm Development: Design, develop, and test algorithms, models, and solution approaches to address business issues with minimal supervision.
* Prototype Development: Create prototypes and proofs of concept for new features to demonstrate feasibility and effectiveness.
* Integration and Implementation: Embed models and algorithms into product solutions, ensuring operational aspects and client usability are prioritized.
* Mentorship: Provide guidance and mentorship to junior datascientists and data analysts within the team.
* Quality Assurance: Develop high-quality code and tests, adhering to clean code principles and Blue Yonder's standards.
* Customer Collaboration: Engage with clients to understand their needs, present findings, and implement tailored solutions that drive business value.
* Continuous Improvement: Stay abreast of advancements in technology and methodologies to continuously improve the team's capabilities.
Technical Environment:
* Advanced machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn)
* Big data processing tools (e.g., Hadoop, Spark) and cloud computing platforms (AWS, Azure, Google Cloud)
* Proficiency in programming languages such as Python and R
* Experience with CI/CD pipelines for efficient deployment of machine learning models
* Familiarity with SQL and data visualization tools (e.g., Tableau, Power BI)
What we are looking for:
* Advanced degree (PhD or Master's) in Computer Science, Data Science, Operations Research, Statistics, or a related discipline
* 8+ years of experience applying data science to solve real-world challenges, with deep expertise in machine learning and operations research in a professional work setting
* Proficiency in Python or R, with hands-on experience using modern frameworks such as TensorFlow or PyTorch
* Proven track record of leading data-driven projects and mentoring teams to deliver impactful business outcomes
* Exceptional ability to translate complex technical concepts into insights that inspire understanding and action across diverse audiences
* Recognized thought leadership through publications, patents, or conference contributions is a strong plus
* Experience in Retail Supply Chain Management or related domains is highly desirable
Comparable title: Staff Data Sciene Consultant I - Consulting
* LI-AD1
#LI-remote
* ------------------------------------------
The annual salary range for this position is USD $105,000 - $129,000
The salary range information provided, reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual salary will be commensurate with skills, experience, certifications or licenses and other relevant factors. In addition, this role will be eligible to participate in either the annual performance bonus or commission program, determined by the nature of the position.
At Blue Yonder, we care about the wellbeing of our employees and those most important to them. This is reflected in our robust benefits package and options that includes:
* Comprehensive Medical, Dental and Vision
* 401K with Matching
* Flexible Time Off
* Corporate Fitness Program
* A variety of voluntary benefits such as; Legal Plans, Accident and Hospital Indemnity, Pet Insurance and much more
At Blue Yonder, we are committed to a workplace that genuinely fosters inclusion and belonging in which everyone can share their unique voices and talents in a safe space. We continue to be guided by our core values and are proud of our diverse culture as an equal opportunity employer. We understand that your career search may look different than others, and embrace the professional, personal, educational, and volunteer opportunities through which people gain experience.
Our Values
If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success - and the success of our customers. Does your heart beat like ours? Find out here: Core Values
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.
$105k-129k yearly Auto-Apply 15d ago
Data Scientist
Alston & Bird's Antitrust Group 4.9
Data scientist job in Atlanta, GA
THE FIRM
As a leading international law firm, we are dedicated to excellence through impactful communication, collaboration, and community involvement. Our company culture has earned us one of the "100 Best Companies to Work For" for 26 consecutive years. This honor, along with many others, highlights our commitment to innovation and professional development. At Alston & Bird LLP, our foundation is made of trust, reliability, and compassion.
JOB DESCRIPTION
We are in search of visionary DataScientist to join our Practice Innovation team-a group dedicated to transforming how legal services are delivered through cutting-edge technology. In this role, you'll lead the charge in deploying enterprise AI platforms like Microsoft Copilot Studio and Azure OpenAI, helping to craft smarter, data-driven legal strategies. If you're passionate about legal tech, fluent in data science, and excited by the possibilities of AI, we'd love to meet you.
ESSENTIAL DUTIES
Design, develop, and maintain predictive models to support administrative and legal departments.
Configure and deploy AI solutions using Copilot Studio, Azure OpenAI, and other Microsoft 365 AI tools to enhance legal workflows.
Collaborate with attorneys, innovation leads, and IT to identify opportunities for automation and data-driven decision-making.
Build and maintain dashboards and analytics tools for internal stakeholders (e.g., attorney development, DEI, legal operations).
Evaluate third-party legal tech tools and assist in integration with firm systems.
Support AI governance, including ethical use, data privacy, and compliance with firm policies.
SKILLS NEEDED TO BE SUCCESSFUL
Knowledge of legal data types (e.g., timekeeping, matter metadata, court filings).
Understanding of AI governance, model evaluation, and responsible AI practices.
Strong communication skills and ability to translate technical concepts for non-technical stakeholders.
Preferred: experience working in or with law firms or legal departments.
EDUCATION AND EXPERIENCE
Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or related field preferred.
1-3+ years of experience in a data science or machine learning role, preferably in a professional services or legal environment.
Proficiency in Python, SQL, and data visualization tools (e.g., Power BI, Tableau).
Experience with Copilot Studio, Azure OpenAI, or similar enterprise AI platforms.
Familiarity with natural language processing (NLP), large language models (LLMs), and prompt engineering.
EQUAL OPPORTUNITY EMPLOYER
Alston & Bird LLP is an Equal Opportunity Employer does not discriminate on the bases of any status protected under federal, state, or local law. Applicants will be considered regardless of their sex, race, age, religion, color, national origin, ancestry, physical disability, mental disability, medical condition (associated with cancer, a history of cancer, or genetic characteristics), HIV/AIDS status, genetic information, marital status, sexual orientation, gender, gender identity, gender expression, military and veteran status, or other protected category under the law on the basis of race, color, religion, sex, age, sexual orientation, gender identity and/or expression, national origin, veteran status or disability in relation to our recruiting, hiring, and promoting practices.
The statements contained in this position description are not necessarily all-inclusive, additional duties and responsibilities may be assigned, and requirements may vary from time to time.
Professional business references and a background screening will be required for all final applicants selected for a position.
If you need assistance or an accommodation due to a disability you may contact *************************.
Alston & Bird is not currently accepting resumes from agencies for this position. If you are a recruiter, search firm, or employment agency, you will not be compensated in any way for your referral of a candidate even if Alston & Bird hires the candidate.
$68k-91k yearly est. Auto-Apply 60d+ ago
Staff Data Scientist
GE Aerospace 4.8
Data scientist job in Alpharetta, GA
SummaryAs a Staff DataScientist, you will work in teams addressing statistical, machine learning, and artificial intelligence problems in a commercial technology and consultancy development environment. You will be part of a data science or cross-disciplinary team driving AI business solutions involving large, complex data sets. Potential application areas include time series forecasting, machine learning regression and classification, root cause analysis (RCA), simulation and optimization, large language models, and computer vision. The ideal candidate will be responsible for developing and deploying machine learning models in production environments. This role requires a strong technical background, excellent problem-solving skills, and the ability to work collaboratively with data engineers, analysts, and other stakeholders.
Roles and Responsibilities:
Design, develop, and deploy machine learning models and algorithms
Understand business problems and identify opportunities to implement data science solutions.
Develop, verify, and validate analytics to address customer needs and opportunities.
Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics.
Develop and maintain pipelines for Retrieval-Augmented Generation (RAG) and Large Language Models (LLM).
Ensure efficient data retrieval and augmentation processes to support LLM training and inference.
Utilize semantic and ontology technologies to enhance data integration and retrieval. Ensure data is semantically enriched to support advanced analytics and machine learning models.
Participate in Data Science Workouts to shape Data Science opportunities and identify opportunities to use data science to create customer value.
Perform exploratory and targeted data analyses using descriptive statistics and other methods.
Work with data engineers on data quality assessment, data cleansing, data analytics, and model productionization
Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes.
Communicate methods, findings, and hypotheses with stakeholders.
Minimum Qualifications:
Bachelor's degree from accredited university or college with minimum of 3 years of professional experience OR an associate's degree with minimum of 5 years of professional experience
3 years of proficiency in Python (mandatory).
2 years' experience with machine learning frameworks and deploying models into production environments
Note: Military experience is equivalent to professional experience
Eligibility Requirement:
Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job.
Desired Characteristics:
Strong analytical and problem-solving skills.
Excellent communication and collaboration abilities.
Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their machine learning services.
Experience with handling unstructured data, including images, videos, and text.
Understanding of computer vision techniques and tools
Ability to work in a fast-paced, dynamic environment.
Experience with data preprocessing and augmentation tools.
Demonstrated expertise in critical thinking and problem-solving methods
Familiarity with cloud platforms (e.g. AWS, Azure, Google Cloud, Databricks) and their machine learning services
Demonstrated skill in defining and delivering customer value.
Demonstrated expertise working in team settings in various roles
Demonstrated expertise in presentation and communications skills.
Experience with deep learning and neural networks.
Knowledge of data governance and compliance standards.
Note:
To comply with US immigration and other legal requirements, it is necessary to specify the minimum number of years' experience required for any role based within the USA. For roles outside of the USA, to ensure compliance with applicable legislation, the JDs should focus on the substantive level of experience required for the role and a minimum number of years should NOT be used.
This Job Description is intended to provide a high level guide to the role. However, it is not intended to amend or otherwise restrict/expand the duties required from each individual employee as set out in their respective employment contract and/or as otherwise agreed between an employee and their manager.
This role requires access to U.S. export-controlled information. Therefore, for applicants who are not U.S. lawful permanent residents, U.S. Citizens, or have been granted asylee or refugee status (i.e., not a protected individual under the Immigration and Naturalization Act, 8 U.S.C. 1324b(a)(3), otherwise known as a U.S. Person), employment will be contingent on the ability to obtain authorization for access to U.S. export-controlled information from the U.S. Government.
Additional Information
GE Aerospace offers a great work environment, professional development, challenging careers, and competitive compensation. GE Aerospace is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
GE Aerospace will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).
Relocation Assistance Provided: Yes
$67k-88k yearly est. Auto-Apply 60d+ ago
Chief Reserving Actuary, Legacy
Everest Group Ltd. 3.8
Data scientist job in Atlanta, GA
About Everest: Everest is a global leader in risk management, rooted in a rich, 50+ year heritage of enabling businesses to survive and thrive, and economies to function and flourish. We are underwriters of risk, growth, progress and opportunity. We are a global team focused on disciplined capital allocation and long-term value creation for all stakeholders, who care deeply about our impact on communities and the wider world.
Our Legacy Business
Join a team where dynamic thinkers turn complexity into opportunity. You will work at the crossroads of strategy, analytics, and execution - tackling some of the most challenging and high‑impact problems in the insurance industry. Here, your ability to navigate multiple disciplines isn't just valued - it's essential.
The $5 billion Legacy business at Everest requires active, forward‑looking discipline focused on resolving legacy liabilities and unlocking capital for the company's future growth. You'll play a direct role in reducing volatility, strengthening market credibility, and accelerating strategic value creation across the Group. Our environment challenges you to think fast, adapt quickly, and approach complex legacy portfolios with fresh ideas and data‑driven insights. You'll work closely with claims, actuarial, finance, reinsurance, technology, and operations - building a uniquely broad and influential skill-set.
Position Summary
This Chief Reserving Actuary role is a fully dedicated leader for the Legacy business, providing dedicated reserving studies and support for special projects and transactions as needed. With dual reporting to the CEO, Legacy Operations and the Group Chief Reserving Actuary, you will play a crucial role in this newly established business, managing reserve drift, building granularity around actuarial analysis and reporting specific to run-off, building frameworks to assess profitability of run-off actions; minimizing any future surprises and creating a more predictable run-off path.
Key Responsibilities
* Perform quarterly studies and roll forward analyses and present to the Legacy reserving board
* Implement a "performance board" model across the Group
* Strengthen the reserve-claims feedback loop and instill rigorous tracking and dialog around quarterly AvE emergence and monthly early signals
* Run actuarial-led deep dives for any problematic or uncertain areas of the portfolio
* Translate claim events into reserve implications and capital impact
* Support pricing of externally contemplated deals (LPTs/retros) as needed
* Develop granular IBNR allocation methodologies to gauge profitability of anticipated liability acceleration strategies (e.g., policy buybacks)
* Translate reserving and claims signals into actionable run-off insights and interventions
* Enhance transparency and credibility for the Senior Leadership team and rating agencies
Required Experience
* 10+ years actuarial experience and an ACAS or FCAS designation
* Advanced degree in a quantitative discipline preferred, including but not limited to Actuarial Science, Mathematics, Statistics, or Computer Science
* Expertise in P&C insurance or reinsurance reserving, with specific run-off reserving experience as an added bonus
* Strong business focus and experience with analyzing P&C claims and trends
* Technical know-how including Excel, VBA, SQL and Python
* Global Insurance/Reinsurance industry experience a plus
* Strong analytical and problem-solving skills
* Excellent communication and interpersonal skills
* Detail oriented and highly organized
* Skilled in time management and the ability to prioritize tasks
* Excellent critical thinking skills
* Strong relationship management and influencing skills
#LI-Hybrid
#LI-ED1
The base salary range for this position is $250,000 - $310,000 annually. The offered rate of compensation will be based on individual education, experience, qualifications and work location. All offers include access to a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, 401k match, retirement savings plan, paid holidays and paid time off (PTO).
What if I don't meet every requirement? At Everest we are dedicated to building an inclusive and authentic workplace. So, if you are excited about this role but your past experience doesn't align perfectly with every element in the job description, we still encourage you to apply. You may be just the right candidate for this or other roles. Please let us know if you need any accommodations throughout the application or interview process.
Our Culture
At Everest, our purpose is to provide the world with protection. We help clients and businesses thrive, fuel global economies, and create sustainable value for our colleagues, shareholders and the communities that we serve. We also pride ourselves on having a unique and inclusive culture which is driven by a unified set of values and behaviors. Click here to learn more about our culture.
* Our Values are the guiding principles that inform our decisions, actions and behaviors. They are an expression of our culture and an integral part of how we work: Talent. Thoughtful assumption of risk. Execution. Efficiency. Humility. Leadership. Collaboration. Inclusion and Belonging.
* Our Colleague Behaviors define how we operate and interact with each other no matter our location, level or function: Respect everyone. Pursue better. Lead by example. Own our outcomes. Win together.
All colleagues are held accountable to upholding and supporting our values and behaviors across the company. This includes day to day interactions with fellow colleagues, and the global communities we serve.
Type:
Regular
Time Type:
Full time
Primary Location:
Warren, NJ
Additional Locations:
Atlanta, GA, Boston, MA, Chicago, IL - South Riverside, Miami, FL, New York, NY, Philadelphia, PA
Everest is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or creed, sex (including pregnancy), sexual orientation, gender identity or expression, national origin or ancestry, citizenship, genetics, physical or mental disability, age, marital status, civil union status, family or parental status, veteran status, or any other characteristic protected by law. As part of this commitment, Everest will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Everest Benefits at *********************************.
Everest U.S. Privacy Notice | Everest (everestglobal.com)
How much does a data scientist earn in Savannah, GA?
The average data scientist in Savannah, GA earns between $57,000 and $107,000 annually. This compares to the national average data scientist range of $75,000 to $148,000.
Average data scientist salary in Savannah, GA
$78,000
What are the biggest employers of Data Scientists in Savannah, GA?
The biggest employers of Data Scientists in Savannah, GA are: