Data scientist jobs in Roswell, GA - 409 jobs

*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*

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Data Job Details About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce. We are looking for a seasoned Data Science expert to help build a world-class data science and analytics platform that supports and scales data-driven product decision-making. As a Staff Product Data Scientist, you will work closely with cross-functional partners to proactively define the product landscape, derive insights from data, communicate key findings to product executives, and directly contribute to product strategy building and implementation. You'll partner with Product, Design, and Engineering (PDE) to contribute directly to product development-shaping what we build, how we measure success, and when/how we iterate and improve. At Slack, we foster a positive, diverse, and supportive culture. We look for people who are curious, bold, and eager to improve every day. Our team values being smart, humble, hardworking, and above all, collaborative. What you will be doing * Apply advanced data science techniques to analyze Slack product usage patterns, identifying what's working, what's not, and opportunities for improvement. * Conduct evidence-based evaluations to determine key drivers of Slack's product growth. * Define and report key success metrics, effectively communicating insights to Slack and Salesforce leadership to enable executive level decision making and follow-ups. * Synthesize insights across different product areas and business outcomes, identifying correlations and causal relationships that drive success. * Serve as a domain expert in product data science, guiding best practices and advancing data science methodologies and operations. * Champion evidence-based decision-making, making data and insights accessible and scalable for stakeholders at all levels. What you should have * 5+ years of experience in data science or quantitative analysis, preferably in technology product development or enterprise software. * A related technical degree required. * Expertise in at least one programming language for data science (e.g., Python, R). * Experience working with large-scale data technologies (e.g., Spark, Presto, Hive, Hadoop). Expertise in Apache Airflow is a strong plus. * Strong communication skills. Able to translate complex technical results into clear, actionable insights. * Cross-functional collaboration and influencing skills, with a track record of impacting decisions at both strategic and executional levels. * Experience designing and implementing advanced data models with scalability and efficiency. * Experienced in applying advanced quant measurement techniques in a product development environment. Unleash Your Potential When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what's possible - for yourself, for AI, and the world. Accommodations If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form. Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: ******************************************* to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $184,000 - $253,000 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $200,800 - $276,100 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.

Who Are We? Taking care of our customers, our communities and each other. That's the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 170 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it. Job Category Data Science Compensation Overview The annual base salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards. Salary Range $161,400.00 - $266,300.00 Target Openings 1 What Is the Opportunity? As a Staff Data Scientist, you will build complex models that solve key business problems to support underwriting, risk control, and business operations. This may include the use of the most advanced technical tools in the data science practice, allowing you to develop sophisticated solutions that enhance risk segmentation, streamline decision-making processes, and drive operational excellence across these critical business functions. What Will You Do? * Lead business or technical projects focused on the design or development of analytical solutions. * Lead development of community best practices in AI/Machine Learning, statistical techniques, and coding. * Establish a practice/process of sharing expertise with the community through discussions, presentations, or peer reviews. * Begin to challenge conventional thinking where appropriate. * Anticipate potential objections and persuade peers, technical and business leaders to adopt a different point of view. * Guide technical strategy of teams through own technical expertise. * Set and manage expectations with business partners for multiple projects, generate ideas and build consensus, and be aware of potential conflicts. * Communicate analysis, insights, and results to team, peers, business partners. * Partner with cross-functional teams and leaders to support the successful execution of data science strategies. * Be a mentor or resource for less experienced analytic talent, onboard new employees and interns, and provide support for recruiting and talent assessment efforts. * Collaborate with Sr Staff Data Scientist on various training and skill development initiatives, including delivering training to the analytics community. * Perform other duties as assigned. What Will Our Ideal Candidate Have? * Subject matter expertise in modeling/ research/ analytics or actuarial required * Subject matter expertise in value creation and business model concepts * Subject matter expertise in multiple statistical software programs * Ability to develop highly complex models, interpret model results and recommend adjustments * Expertise in advanced statistics underlying data models * Ability to apply emerging statistical procedures to complex work * Subject matter expertise in 3-5 of the following: Regression, Classification, Machine Vision, Natural Language Processing, Deep Learning and Statistical modeling. What is a Must Have? * Master's degree in Statistics, Mathematics, Decision Sciences, Actuarial Science or related analytical STEM field plus five years of experience or any suitable and equivalent combination of education and work experience. * Heavy concentration in mathematics, including statistics and programming, business intelligence/analytics, as well as data science tools and research using large data sets. Additional verification of specific coursework will be required. What Is in It for You? * Health Insurance: Employees and their eligible family members - including spouses, domestic partners, and children - are eligible for coverage from the first day of employment. * Retirement: Travelers matches your 401(k) contributions dollar-for-dollar up to your first 5% of eligible pay, subject to an annual maximum. If you have student loan debt, you can enroll in the Paying it Forward Savings Program. When you make a payment toward your student loan, Travelers will make an annual contribution into your 401(k) account. You are also eligible for a Pension Plan that is 100% funded by Travelers. * Paid Time Off: Start your career at Travelers with a minimum of 20 days Paid Time Off annually, plus nine paid company Holidays. * Wellness Program: The Travelers wellness program is comprised of tools, discounts and resources that empower you to achieve your wellness goals and caregiving needs. In addition, our mental health program provides access to free professional counseling services, health coaching and other resources to support your daily life needs. * Volunteer Encouragement: We have a deep commitment to the communities we serve and encourage our employees to get involved. Travelers has a Matching Gift and Volunteer Rewards program that enables you to give back to the charity of your choice. Employment Practices Travelers is an equal opportunity employer. We value the unique abilities and talents each individual brings to our organization and recognize that we benefit in numerous ways from our differences. In accordance with local law, candidates seeking employment in Colorado are not required to disclose dates of attendance at or graduation from educational institutions. If you are a candidate and have specific questions regarding the physical requirements of this role, please send us an email so we may assist you. Travelers reserves the right to fill this position at a level above or below the level included in this posting. To learn more about our comprehensive benefit programs please visit *********************************************************

Reporting to the Director, Financial Planning & Analysis, the Financial Data Scientist plays a key role in transforming data into strategic insights. This position combines financial acumen with advanced analytics to support decision-making, improve forecasting accuracy, and optimize housing operations for military communities. The ideal candidate is highly analytical, collaborative, and passionate about leveraging data to drive financial performance. What you will do * Supports the development and maintenance of predictive models for revenue, expense, and cash flow forecasting. * Analyzes large datasets to identify trends, risks, and opportunities impacting financial performance. * Builds dashboards and visualizations to support leadership reporting and performance tracking. * Collaborates with FP&A analysts to enhance budgeting, scenario planning, and variance analysis. * Automates data workflows and reporting processes to improve efficiency and accuracy. * Supports ad hoc analysis for business cases, investments, and cost optimization initiatives. * Assists with sensitivity analysis and financial modeling for MHPI project restructures and operational issues. * Coordinates with FP&A Director, Asset Managers, and Operations Teams to create the annual operating and capital budget. * Serves as the primary liaison between the FP&A team and internal/external developers for system upgrades, integrations, and enhancements. * Leads integration efforts with ERP, BI, Data Warehousing, and CPM systems to ensure seamless data flow and usability. Qualifications * Bachelor's Degree Data Science, Finance, Economics, Statistics, or related field. Required or * Master's Degree Data Science, Finance, Economics, Statistics, or related field. Preferred and * 1-3 years Proven data science experience in finance and/or FP&A. Required and * 1-3 years Proficiency in Python, SQL, and data visualization tools (e.g., Tableau, Power BI). Required and * 1-3 years Strong understanding of financial modeling, forecasting, and property management metrics. Required * 1-3 years Experience working with large datasets and statistical/predictive analysis. Required * 1-3 years Experience in military housing, government contracts, or real estate operations. Preferred * 1-3 years Familiarity with ERP systems (e.g., Yardi, Workday, JDE), financial planning tools (e.g., Planful, Adaptive Insights), or other CPM systems. Preferred * 1-3 years Understanding of occupancy trends, maintenance cycles, and capital planning in residential property management. Preferred * 1-3 years Experience with Yardi property management platform and Snowflake data warehouse is a plus. Preferred * Excellent problem-solving skills with attention to detail and a results driven mindset. * Strong communication skills to present complex insights to non-technical stakeholders. * Knowledge of financial and accounting concepts, property maintenance processes and the related to successful multi-family operations. * Automate data collection, transformation and analytics with scripts and lower-level programing languages (e.g. Java, python). * Automate report generation for dashboard tools including PowerBI and Tableau. * Expert knowledge of dashboard tools. * Knowledge of statistical modeling, machine learning, and time series forecasting. Compensation We are committed to offering competitive and equitable compensation. Final salaries will be determined based on factors such as geographic location, skills, education, licenses, certifications, and/or experience. In addition to these factors - we believe in the importance of pay equity. We consider internal and external factors as a part of every final offer. We also offer a generous total compensation and benefits package. Benefits A competitive salary is only one part of your total rewards. We also offer a comprehensive benefits package, including paid time off, medical, dental, life and disability insurance, HSA/FSA accounts, retirement, rewards programs, and so much more! Click Here for Benefits Overview ******************************************************** You must be able to pass a drug, background screen and physical abilities test/motor vehicle record check (if one is required per the position). EEO/ADA The Company and its affiliates provides equal employment opportunity to all individuals regardless of their race, color, creed, religion, gender, age, sexual orientation, national origin, disability, veteran status, or any other characteristic protected by state, federal, or local law. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. #ZRHMH

Fincons Group is looking for an experienced AI / Machine Learning Engineer to support data-driven initiatives across complex business and operational environments. This role focuses on identifying high-impact AI/ML use cases, developing and deploying machine learning solutions, and working closely with cross-functional stakeholders to turn data into actionable insights. The ideal candidate brings a strong technical foundation, a problem-solving mindset, and the ability to communicate effectively with both technical and non-technical teams. Identify AI/ML Opportunities: Partner with cross-functional business and technical teams to identify and define AI and machine learning use cases that improve efficiency, performance, and decision-making. Help shape project scope, objectives, and success metrics. End-to-End ML Delivery: Own machine learning projects throughout their lifecycle, including data collection, preprocessing, model development, deployment, and ongoing monitoring in production environments. Programming & Data Engineering: Develop clean, maintainable code (primarily in Python) to build data pipelines, implement ML models, and automate analytical workflows. Use SQL for data extraction and transformation. Data Analysis & Modeling: Analyze large, complex datasets from operational systems (e.g., ERP, MES, IoT, or similar sources) to identify trends, engineer features, and build predictive or prescriptive models. Stakeholder Communication: Translate technical findings into clear, actionable insights for non-technical stakeholders to support data-driven decisions. Qualifications & Experience Experience: 3+ years of hands-on experience in AI, Machine Learning, or Data Science. Experience in industrial, manufacturing, or operational environments is a plus. Technical Skills: Strong proficiency in Python and common ML libraries (e.g., scikit-learn, TensorFlow, PyTorch) Solid SQL skills for querying and data manipulation Experience with data visualization tools (e.g., Power BI, Tableau, or similar) Basic understanding of MLOps concepts, including model deployment and monitoring Problem-Solving: Demonstrated ability to break down complex problems and deliver practical, data-driven solutions. Communication & Collaboration: Strong communication skills with the ability to work effectively across technical and non-technical teams. Nice to Have Experience with cloud platforms such as AWS, Azure, or GCP Exposure to time-series analysis, anomaly detection, optimization techniques, or similar advanced analytics Familiarity with operational or manufacturing data and processes (e.g., quality, maintenance, supply chain)

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 data scientist 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

**Data Scientist - 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 Data Scientist 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

Must Have Technical/Functional Skills * Programming & Technologies: Proficient in Python, SQL, and R coding languages coupled with expertise in Domo, SAS, and web development languages. Adept in leveraging cloud technologies including AWS, Azure, and Hadoop ecosystems for scalable data solutions. * Advanced Modeling: Skilled in utilizing techniques like PCA, Lasso, and Elastic Net for feature selection, and deploying machine learning algorithms such as Linear & Logistic Regression, SVM, Decision Trees, XGBoost, Hist Gradient Boosting, and LightGBM for high-impact results. * Data Visualization & Data Storytelling: Adept at designing visually appealing data presentations and utilizing data storytelling techniques to effectively communicate insights. Proficient with Domo, Tableau, PowerBI, D3.js, and Matplotlib for creating data visualizations and dashboards. Experienced in transforming complex findings into actionable insights and narratives that resonate with diverse audiences. * Palantir & Skywise experience is a plus point 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-$140,000 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.

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: Data Scientist 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 Data Scientist 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 Data Scientist 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

Data Scientist 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, Data Scientist, 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

SummaryAs a Staff Data Scientist, 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

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)

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 Data Scientist 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.

At Navista, our mission is to empower community oncology practices to deliver patient-centered cancer care. Navista, a Cardinal Health company, is an oncology practice alliance co-created with oncologists and practice leaders that offers advanced support services and technology to help practices remain independent and thrive. True to our name, our experienced team is passionate about helping oncology practices navigate the future. We are seeking an innovative and highly skilled **Senior Data Scientist** with specialized expertise in Generative AI (GenAI), Large Language Models (LLMs), and Agentic Systems to join the Navista - Data & Advanced Analytics team supporting the growth of our Navista Application Suite and the Integrated Oncology Network (IoN). In this critical role, you will be at the forefront of designing, developing, and deploying advanced AI solutions that leverage the power of generative models and intelligent agents to transform our products and operations. You will be responsible for pushing the boundaries of what's possible, from foundational research to production-ready applications, working with diverse datasets and complex problem spaces, particularly within the oncology domain. The ideal candidate will possess a deep theoretical understanding and practical experience in building, fine-tuning, and deploying LLMs, as well as architecting and implementing agentic frameworks. You will play a key role in shaping our AI strategy, mentoring junior team members, and collaborating with cross-functional engineering and product teams to bring groundbreaking AI capabilities to life, including developing predictive models from complex, often unstructured, oncology data. **_Responsibilities_** + **Research & Development:** Lead the research, design, and development of novel Generative AI models and algorithms, including but not limited to LLMs, diffusion models, GANs, and VAEs, to address complex business challenges. + **LLM Expertise:** Architect, fine-tune, and deploy Large Language Models for various applications such as natural language understanding, generation, summarization, question-answering, and code generation, with a focus on extracting insights from unstructured clinical and research data. + **Agentic Systems Design:** Design and implement intelligent agentic systems capable of autonomous decision-making, planning, reasoning, and interaction within complex environments, leveraging LLMs as core components. + **Predictive Modeling:** Develop and deploy advanced predictive models and capabilities using both structured and unstructured data, particularly within the oncology space, to forecast outcomes, identify trends, and support clinical or commercial decision-making. + **Prompt Engineering & Optimization:** Develop advanced prompt engineering strategies and techniques to maximize the performance and reliability of LLM-based applications. + **Data Strategy for GenAI:** Work with data engineers to define and implement data collection, preprocessing, and augmentation strategies specifically tailored for training and fine-tuning generative models and LLMs, including techniques for handling and enriching unstructured oncology data (e.g., clinical notes, pathology reports). + **Model Evaluation & Deployment:** Develop robust evaluation metrics and methodologies for generative models, agentic systems, and predictive models. Oversee the deployment, monitoring, and continuous improvement of these models in production environments. + **Collaboration & Leadership:** Collaborate closely with machine learning engineers, software engineers, and product managers to integrate AI solutions into our products. Provide technical leadership and mentorship to junior data scientists. + **Innovation & Thought Leadership:** Stay abreast of the latest advancements in GenAI, LLMs, and agentic AI research. Proactively identify new opportunities and technologies that can enhance our capabilities and competitive advantage. + **Ethical AI:** Ensure the responsible and ethical development and deployment of AI systems, addressing potential biases, fairness, and transparency concerns. **_Qualifications_** + 8-12 years of experience as a Data Scientist or Machine Learning Engineer, with a significant focus on deep learning and natural language processing, preferred + Bachelor's degree in related field, or equivalent work experience, preferred + Proven hands-on experience with Generative AI models (e.g., Transformers, GANs, VAEs, Diffusion Models) and their applications. + Extensive experience working with Large Language Models (LLMs), including fine-tuning, prompt engineering, RAG (Retrieval Augmented Generation), and understanding various architectures (e.g., GPT, Llama, BERT, T5). + Demonstrated experience in designing, building, and deploying agentic systems or multi-agent systems, including concepts like planning, reasoning, and tool use. + Strong experience working with unstructured data, particularly in the oncology domain (e.g., clinical notes, pathology reports, genomic data, imaging reports), and extracting meaningful features for analysis. + Demonstrated ability to create and deploy predictive capabilities and models from complex datasets, including those with unstructured components. + Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow. + Experience with relevant libraries and tools (e.g., Hugging Face Transformers, LangChain, LlamaIndex). + Strong understanding of machine learning fundamentals, statistical modeling, and experimental design. + Experience with at least one cloud platforms ( GCP, Azure) for training and deploying large-scale AI models. + Excellent problem-solving skills, with the ability to tackle complex, ambiguous problems and drive solutions. + Strong communication and presentation skills, capable of explaining comp + Experience in the healthcare or life sciences industry, specifically with oncology data and research, highly preferred + Experience with MLOps practices for deploying and managing large-scale AI models, highly preferred + Familiarity with distributed computing frameworks (e.g., Spark, Dask), highly preferred + Experience contributing to open-source AI projects, highly preferred **_What is expected of you and others at this level_** + Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects + Participates in the development of policies and procedures to achieve specific goals + Recommends new practices, processes, metrics, or models + Works on or may lead complex projects of large scope + Projects may have significant and long-term impact + Provides solutions which may set precedent + Independently determines method for completion of new projects + Receives guidance on overall project objectives + Acts as a mentor to less experienced colleagues **Anticipated salary range:** $123,400 - $176,300 **Bonus eligible:** Yes **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 02/15/2026 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. \#LI-Remote _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

DPR Construction is seeking a skilled Senior Data Scientist to help advance our data-driven approach to building. In this role, you'll use statistical analysis, machine learning, and data visualization to turn complex construction and business data into actionable insights that improve project planning, cost forecasting, resource management, and safety. Working with project and operations teams, you'll build and deploy scalable, secure data solutions on cloud platforms like Azure and AWS, driving innovation and operational excellence across DPR's projects. Responsibilities * Data analysis and modeling: Analyze large datasets to identify trends, bottlenecks, and areas for improvement in operational performance. Build predictive and statistical models to forecast demand, capacity, and potential issues. * Develop and deploy models: Build, test, and deploy machine learning and AI models to improve operational processes. * Analyze operational data: Examine data related to projects, production, supply chains, inventory, and quality control to identify patterns, trends, and inefficiencies. * Optimize processes: Use data-driven insights to streamline workflows, allocate resources more effectively, and improve overall performance. * Forecast and predict: Create predictive models to forecast outcomes, such as demand, and inform strategic decisions. * Communicate findings: Present findings and recommendations to stakeholders through reports, visualizations, and presentations. * Ensure reliability: Build and maintain reliable, scalable, and efficient data science systems and processes. * Collaboration: Partner with project managers, engineers, and business leaders to ensure data solutions are aligned with organizational goals and deliver tangible improvements. * Continuous Learning: Stay current with advancements in data science and machine learning to continually enhance the company's data capabilities. * Reporting and communication: Create dashboards and reports that clearly communicate performance trends and key insights to leadership and other stakeholders. Translate complex data into actionable recommendations. * Performance monitoring: Implement data quality checks and monitor the performance of models and automated systems, creating feedback loops for continuous improvement. * Experimentation: Design and evaluate experiments to quantify the impact of new systems and changes on operational outcomes. Qualifications * Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Engineering, or a related field. * 7+ years of experience in data science roles within AEC, product or technology organizations. * At least 4 years of experience working with cloud platforms, specifically Azure and AWS, for model deployment and data management. * Strong proficiency in Python or R for data analysis, modeling, and machine learning, with experience in relevant libraries (e.g., Scikit-learn, TensorFlow, PyTorch) and NLP frameworks (e.g., GPT, Hugging Face Transformers). * Expertise in SQL for data querying and manipulation, and experience with data visualization tools (e.g., Power BI, Tableau). * Solid understanding of statistical methods, predictive modeling, and optimization techniques. * Expertise in statistics and causal inference, applied in both experimentation and observational causal inference studies. * Proven experience designing and interpreting experiments and making statistically sound recommendations. * Strategic and impact-driven mindset, capable of translating complex business problems into actionable frameworks. * Ability to build relationships with diverse stakeholders and cultivate strong partnerships. * Strong communication skills, including the ability to bridge technical and non-technical stakeholders and collaborate across various functions to ensure business impact. * Ability to operate effectively in a fast-moving, ambiguous environment with limited structure. * Experience working with construction-related data or similar industries (e.g., engineering, manufacturing) is a plus. Preferred Skills * Familiarity with construction management software (e.g., ACC, Procore, BIM tools) and knowledge of project management methodologies. * Hands-on experience with Generative AI tools and libraries. * Background in experimentation infrastructure or human-AI interaction systems. * Knowledge of time-series analysis, anomaly detection, and risk modeling specific to construction environments. DPR Construction is a forward-thinking, self-performing general contractor specializing in technically complex and sustainable projects for the advanced technology, life sciences, healthcare, higher education and commercial markets. Founded in 1990, DPR is a great story of entrepreneurial success as a private, employee-owned company that has grown into a multi-billion-dollar family of companies with offices around the world. Working at DPR, you'll have the chance to try new things, explore unique paths and shape your future. Here, we build opportunity together-by harnessing our talents, enabling curiosity and pursuing our collective ambition to make the best ideas happen. We are proud to be recognized as a great place to work by our talented teammates and leading news organizations like U.S. News and World Report, Forbes, Fast Company and Newsweek. Explore our open opportunities at ********************

Ascensus is the leading independent technology and service platform powering savings plans across America, providing products and expertise that help nearly 16 million people save for a better today and tomorrow. High level review to ensure quality of client deliverables including research of pension law and regulations. Responsible for ensuring service standards remain in alignment with the expectations, guidance and direction provided by the FuturePlan Lead Actuary and organizational standards. Serve as an expert in the valuation, administration and compliance of Defined Benefit and Cash Balance plans. Section 2: Job Functions, Essential Duties and Responsibilities * Review, prepare and/or certify client projects and ensure accurate client deliverables including: * Actuarial valuations and reports * Benefit statements * Plan documents, amendments, employee communications (SPDs, etc.) * Work performed by other teams as necessary (e.g., Benefit calculations, Form 5500s and PBGC premium forms) * IRS determination filings and PBGC (Form 500 series) termination submissions * ASC 715/960 * Perform and review combined plan non-discrimination testing * Answer technical questions posed by staff * Research the Internal Revenue Code and other technical resources to resolve client issues * Provide technical training for staff * Provide back up to other teams as necessary * Responsible for protecting, securing, and proper handling of all confidential data held by Ascensus to ensure against unauthorized access, improper transmission, and/or unapproved disclosure of information that could result in harm to Ascensus or our clients. * Our I-Client service philosophy and our Core Values of People Matter, Quality First and Integrity Always should be visible in your actions on a day to day basis showing your support of our organizational culture. * Assist with other tasks and projects as assigned Supervision * N/A Section 3: Experience, Skills, Knowledge Requirements * Bachelor's degree in actuarial science, math or math related field * Enrolled Actuary designation with 5 years industry experience * Advanced understanding of: * Pension law * Plan documents and IRS favorable determination letters * Actuarial valuations and software systems * Excellent technical/analytical skills * Ability to research technical issues * Ability to explain technical issues to all levels of associates * Good verbal and written communication skills * Demonstrated expertise with Microsoft Office, particularly Excel applications * Demonstrated expertise with industry recognized pension valuation software * Detail and accuracy oriented * Good time management skills * Team Player We are proud to be an Equal Opportunity Employer Be aware of employment fraud. All email communications from Ascensus or its hiring managers originate ****************** ****************** email addresses. We will never ask you for payment or require you to purchase any equipment. If you are suspicious or unsure about validity of a job posting, we strongly encourage you to apply directly through our website. For all virtual remote positions, in order to ensure associates can effectively perform their job duties with no distractions, we require an uninterrupted virtual work space and there is also an expectation of family care being in place during business hours. Additionally, there is an internet work speed requirement of 25 MBps or better for individual use. If more than one person is utilizing the same internet connection in the same household or building, then a stronger connection is required. If you are unsure of your internet speed, please check with your service provider. Note: For call center roles specifically, it is a requirement to either hardwire your equipment directly to the internet router or ensure your workstation is in close proximity to the router. Please ensure that you are able to meet these expectations before applying. Ascensus provides equal employment opportunities to all associates and applicants for employment without regard to ancestry, race, color, religion, sex, (including pregnancy, childbirth, breastfeeding and/or related medical conditions), gender, gender identity, gender expression, national origin, age, physical or mental disability, medical condition (including cancer and genetic characteristics), marital status, military or veteran status, genetic information, sexual orientation, criminal conviction record or any other protected category in accordance with applicable federal, state, or local laws ("Protected Status").

Job Title: Data Scientist Company: Georgia Power We are seeking applicants who demonstrate a combination is soft skills and technical skills. Client relationships, collaboration, communication, and effort to learn the business are essential to success. From technical perspective, we are looking for applicants who have experience with machine learning, advanced analytics, coding, cloud and on-premise environments, and a variety of data sources. This role focuses on supporting various departments across Customer Services, Customer Solutions, Business Development, Corporate Communications, and others. Data Scientist performs advanced and descriptive analytics that lead to better customer experience, increased operational efficiencies, and improved business profitability. This role is responsible for discovering business insights using statistics, machine learning, and visualization techniques. Apply today and take the next step in your career with Data Science! JOB REQUIREMENTS: A bachelor's degree in Data Science, Data Analytics, Statistics, Computer Science, Engineering or a related field is required A master's degree in Data Science, Data Analytics, Statistics, Computer Science, Engineering or a related field is preferred 4+ years of hands-on experience with data and analytics; with progressively increased level of responsibility Experience querying data from various data sources Proficient with one or more programming languages used for analytics, preferably Python and SQL Experience with Databricks is desired, but not required Working knowledge of predictive modeling techniques, such as linear regression, decision trees, clustering, neutral networks, etc. and experience using these methods to address real-world business challenges Strong interest in AI and aptitude to learn how to develop AI solutions for Customer Experience organization Experience developing dashboards in Power BI or a comparable visualization platform Written communication skills and experience summarizing key insights in concise emails, executive summaries, and presentations Verbal communication skills and experience effectively presenting analytics insights in practical terms to non-technical business audience Experience managing and prioritizing multiple projects simultaneously Ability to effectively collaborate in highly cross-functional work environment, engage diverse stakeholders, ask questions to understand client needs, and partner with colleagues across different teams Behaviors rooted in our corporate values: Safety First, Intentional Inclusion, Act with Integrity, Superior Performance MAJOR JOB RESPONSIBILITIES: Build relationships with internal clients to understand their goals, processes, and challenges Promptly respond to requests from internal clients, understand their business questions, and perform analytics to meet their business needs Fulfil high volume of ad-hoc analytics requests Proactively suggest advanced analytics solutions to clients Write programs to pull data from various data sources Identify, gather, and prepare data for your projects Analyze structured (quantitative) and unstructured (text, voice recordings) data Develop and deploy machine learning models Create dashboards that automatically pull data from various data sources Summarize key insights from your analytics projects and provide conclusions and recommendations Produce analytics to enhance customer experience, improve energy affordability, and support sustainable growth Quantify effect of various programs and initiatives on customer energy usage, call volume, payment behaviors Provide insights on how our customers interact with our company across various channels in effort to improve customer service performance, optimize channels and programs Enable personalization and communications based on customer data Provide analytics to increase enrollment in energy efficiency, renewables, electric transportation, and other programs. Develop analytics to help grow unregulated net income Provide analytics to optimize operations that deliver regulated and unregulated solutions to customers Establish external and internal relationships to share best practices in data science, stay abreast of industry trends and emerging technologies Continuously learn new data sources, new platforms, and new methods. Demonstrate curiosity and creativity in the rapidly evolving world of data and AI.

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 data scientist 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

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.