Data scientist jobs in Douglasville, GA

Role: Data Scientist Mode Of Hire: Full Time Key Responsibilities • Data wrangling & feature engineering: Ingest, clean, and transform data from SQL, APIs, and data lakes (e.g., Snowflake, Databricks). Design robust pipelines that feed into analytics and ML workflows. • Data understanding & exploration: Work closely with domain experts to deeply understand the meaning, context, quality, and limitations of available datasets. Translate business questions into data requirements and analytics plans. • Machine learning development: Build, tune, and validate predictive models using scikit-learn, SparkML, XGBoost, or TensorFlow. • Cross-functional partnership: Collaborate with marketing, sales, and product teams to scope business use cases, define success metrics, and integrate models into operational workflows. • Model deployment & MLOps: Deploy and manage models using MLflow, docker and CI/CD pipelines. Implement versioning, testing, performance monitoring, and retraining strategies as part of a robust MLOps practice. • Infrastructure support: Work with data engineering and DevOps teams to maintain and improve model training and deployment infrastructure, including compute resources, workflow orchestration and environment configuration. • Insight delivery: Build clear, actionable reporting and visualizations using tools like Power BI or Tableau. Focus on impact, not just analysis. Skills Required: • Bachelor's degree in Data Science, Computer Science, Engineering, or a related quantitative field. • 5+ years of experience in a data science, ML engineering, or analytics role. • Strong SQL, Python and ML Techniques programming skills. • Experience with Azure Cloud, Databricks, and/or Snowflake. • Experience building and deploying machine learning models in production environments. Hands-on experience with Databricks, including SparkML, and MLflow integration. • Familiarity with MLOps best practices, including version control, model monitoring, and automated testing. • Experience with tools such as Git, MLflow, Docker and workflow schedulers. • Ability to communicate complex technical work to non-technical stakeholders. • Experience with scalable model training environments and distributed computing. Preferred Qualifications • Master's degree in a quantitative or technical discipline. • Experience in financial services, fintech, or enterprise B2B analytics. • Knowledge of A/B testing, causal inference, and statistical experimentation. • Familiarity with GenAI, LLM pipelines, and vector-based retrieval is a plus and platform like Snowflake Cortex.

Role: ML Engineer with Timeseries data experience Hybrid in Atlanta, GA (locals preferred) $58/hr on C2C, Any Visa Model Development: Design, build, train, and optimize ML/DL models for time-series forecasting, prediction, anomaly detection, and causal inference. Data Pipelines: Create robust data pipelines for collection, preprocessing, feature engineering, and labeling of large-scale time-series data. Scalable Systems: Architect and implement scalable AI/ML infrastructure and MLOps pipelines (CI/CD, monitoring) for production deployment. Collaboration: Work with data engineers, software developers, and domain experts to integrate AI solutions. Performance: Monitor, troubleshoot, and optimize model performance, ensuring robustness and real-world applicability. Languages & Frameworks: Good understanding of AWS Framework, Python (Pandas, NumPy), PyTorch, TensorFlow, Scikit-learn, PySpark. ML/DL Expertise: Strong grasp of time-series models (ARIMA, Prophet, Deep Learning), anomaly detection, and predictive analytics Data Handling: Experience with large datasets, feature engineering, and scalable data processing.

Job Description: GCP Data Engineer Rate: $50/hr. on W2 (No C2C) We are seeking a highly skilled GCP Data Engineer to design, build, and optimize cloud-native data pipelines and analytics solutions on Google Cloud Platform. The ideal candidate has strong experience with Python, BigQuery, Cloud Data Fusion, and core GCP services such as Cloud Composer, Cloud Storage, Cloud Functions, and Pub/Sub. This role requires a strong foundation in data warehousing concepts and scalable data engineering practices. Responsibilities Design, develop, and maintain robust ETL/ELT pipelines on Google Cloud Platform. Build and optimize data workflows using Cloud Data Fusion, BigQuery, and Cloud Composer. Write efficient and maintainable Python code to support data ingestion, transformation, and automation. Develop optimized BigQuery SQL for analytics, reporting, and large-scale data modeling. Utilize GCP services such as Cloud Storage, Pub/Sub, and Cloud Functions to build event-driven and scalable data solutions. Ensure data quality, governance, and reliability across all pipelines. Collaborate with cross-functional teams to deliver clean, trusted, production-ready datasets. Monitor, troubleshoot, and resolve performance issues in cloud data pipelines and workflows. Must-Have Skills Strong experience with GCP BigQuery (data modeling, SQL development, performance tuning). Proficiency in Python for data engineering and pipeline automation. Hands-on experience with Cloud Data Fusion for ETL/ELT development. Working experience with key GCP services: Cloud Composer Cloud Storage Cloud Functions Pub/Sub Strong understanding of data warehousing concepts, star/snowflake schemas, and best practices. Solid understanding of cloud data architecture and distributed processing. Good-to-Have Skills Experience with Vertex AI for ML pipeline integration or model deployment. Familiarity with Dataproc (Spark/Hadoop) for large-scale processing. Knowledge of CI/CD workflows, Git, and DevOps best practices. Experience with Cloud Logging/Monitoring tools.

Our technology organization is transforming how we work at WestRock. We align with our businesses to deliver innovative solutions that: Address specific business challenges, integrate processes, and create great experiences Connect our work to shared goals that propel WestRock forward in the Digital Age Imagine how technology can advance the way we work by using disruptive technology We are looking for forward thinking technologists that can accelerate our focus areas such as building stronger foundational technology capabilities, reducing complexity, employing digital transformation concepts, and leveraging disruptive technology. As a Lead Data Engineer, you will play a pivotal role in building and scaling modern data infrastructure that powers decision-making across production, supply chain, and operations. Helps to define and analyze business requirements for Enterprise scale reports. Analyzes and evaluates business use cases for data engineering problems and helps design and develop processing solutions with ETL Cloud based technologies. How you will impact WestRock: Architect and implement scalable data pipelines using Palantir Foundry (pipelines, workshops, ontology) to unify and transform operational data. Design and develop robust data workflows using Python, Apache Airflow, and Apache Spark to support real-time and batch processing needs. Build and deploy solutions on cloud platforms (AWS or Azure), ensuring high availability, security, and performance. Collaborate with data scientists, analysts, and operations teams to deliver actionable insights and operational tooling. Define and enforce data engineering best practices, including CI/CD automation, version control (Git), and testing strategies. Mentor junior developers, conduct code reviews, and help shape the technical roadmap for the data platform. What you need to succeed: Education: Bachelor's degree in computer science or similar At least 6 years of strong Data Engineering experience Hands-on experience with Palantir Foundry, including pipelines, ontology modeling, and workshop development. Strong programming skills in Python or Java, with experience building and maintaining production-grade data pipelines. Proficiency in Apache Airflow and Apache Spark for workflow orchestration and large-scale data processing. Proven experience deploying data solutions on AWS or Azure, with strong understanding of cloud-native services. Familiarity with Git for version control and CI/CD pipelines for automated testing and deployment. Demonstrated ability to mentor junior engineers, lead projects, and work independently in a fast-paced environment. Good communication skills, with the ability to collaborate effectively across technical and non-technical teams. Good analytical and troubleshooting abilities. What we offer: Corporate culture based on integrity, respect, accountability and excellence Comprehensive training with numerous learning and development opportunities An attractive salary reflecting skills, competencies and potential A career with a global packaging company where Sustainability, Safety and Inclusion are business drivers and foundational elements of the daily work.

****************Individual Contractors (W2/1099) are encouraged to apply. Visa sponsorship is not available for this role at this time************ An Azure Data Engineer is responsible for designing, implementing, and maintaining the data infrastructure within an organization. They collaborate with both business and IT teams to understand stakeholders' needs and unlock the full potential of data. They create conceptual and logical data models, analyze structural requirements, and ensure efficient database solutions. Must Have Skills: Experience of Migrating from other platform to Databricks Proficiency in Databricks and Azure Cloud, Databricks Asset Bundles, Hoslistic vision on the Data Strategy. Proficiency in Data Streaming and Data Modeling Experience in architecting at least two large-scale big data projects Strong understanding of data scaling and its complexities Data Archiving and Purging mechanisms. Job Requirements • Degree in computer science or equivalent preferred • Demonstrable experience in architecture, design, implementation, and/or support of highly distributed applications with Azure cloud and Databricks. • 10+ Years of Hands-on experience with data modelling, database design, data mining, and segmentation techniques. • Working knowledge and experience with "Cloud Architectures" (e.g., SaaS, PaaS, IaaS) and the ability to address the unique security considerations of secure Cloud computing • Should have architected solutions for Cloud environments such as Microsoft Azure and/or GCP • Experience with debugging and performance tuning in distributed environments • Strong analytical skills with the ability to collect, organize, analyse, and broadcast significant amounts of information with attention to detail and accuracy • Experience dealing with structured, unstructured data. • Must have Python, PySpark experience. • Experience in ML or/and graph analysis is a plus

Experience Level: Entry-level (Master's preferred) About OrcaWorks AI At OrcaWorks AI, we're building next-generation AI systems that empower businesses to make data-driven decisions with intelligence and speed. We're seeking passionate Data Engineers who love solving real-world data challenges and want to be part of a growing team building cutting-edge AI infrastructure. Key Responsibilities Design, develop, and maintain data pipelines using tools like Airbyte and Prefect to feed AI and machine learning models. Integrate data from multiple structured and unstructured sources into unified and queryable layers using ElasticSearch or Vespa. Implement data validation, transformation, and storage solutions using modern ETL frameworks. Collaborate with AI, LLM, and data science teams to ensure reliable and optimized data flow for model training. Support database management, SQLModel, and data governance practices across services. Required Skills & Qualifications Master's degree (or Bachelor's with equivalent experience) in Computer Science, Information Systems, or Data Engineering. Proficiency in Python and SQL; experience with PySpark or equivalent ETL frameworks. Hands-on experience with Airbyte, Prefect, and DBT. Familiarity with search and indexing systems like Vespa or ElasticSearch. Knowledge of cloud data platforms (AWS, GCP, or Azure) and API integration. Strong understanding of data security and applied AI workflows.

We are seeking a ETL Databricks Data Engineer to join our team and help build robust, scalable data solutions. This role involves designing and maintaining data pipelines, optimizing ETL processes, and collaborating with cross-functional teams to ensure data integrity and accessibility. Key Responsibilities Design, develop, and maintain scalable data pipelines and ETL processes using Databricks. Create and optimize Python scripts for data transformation, automation, and integration tasks. Develop and fine-tune SQL queries for data extraction, transformation, and loading. Collaborate with data scientists, analysts, and business stakeholders to deliver high-quality data solutions. Ensure data integrity, security, and compliance with organizational standards. Participate in code reviews and contribute to best practices in data engineering. Required Skills & Qualifications 5 years of professional experience in data engineering or related roles. Strong proficiency in Databricks (including Spark-based data processing). Advanced programming skills in Python. Expertise in SQL for querying and data modeling. Familiarity with Azure Cloud and Azure Data Factory (ADF). Understanding of ETL frameworks, data governance, and performance tuning. Knowledge of CI/CD practices and version control tools (e.g., Git). Exposure to BI tools such as Power BI or Tableau for data visualization. Life at Capgemini Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer: • Flexible work • Healthcare including dental, vision, mental health, and well-being programs • Financial well-being programs such as 401(k) and Employee Share Ownership Plan • Paid time off and paid holidays • Paid parental leave • Family building benefits like adoption assistance, surrogacy, and cryopreservation • Social well-being benefits like subsidized back-up child/elder care and tutoring • Mentoring, coaching and learning programs • Employee Resource Groups • Disaster Relief Disclaimer Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship. Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Click the following link for more information on your rights as an Applicant **************************************************************************

IDR is seeking an SAP Data Engineer to join one of our top clients for an opportunity in Atlanta, GA. This role involves designing, building, and optimizing data pipelines and architecture to support advanced analytics and business intelligence in a dynamic enterprise environment. Position Overview for the SAP Data Engineer: Develop and optimize ETL/ELT pipelines from SAP sources and other enterprise data sources Design, build, and maintain data architecture supporting analytics and BI initiatives Deep knowledge of SAP technologies including BW/4HANA, S/4HANA, ECC, BusinessObjects, and SAC Experience with Celonis data engineering and enterprise DataOps practices Collaborate with cross-functional teams to ensure data governance, security, and performance Requirements for the SAP Data Engineer: 5 - 8+ years of hands-on experience in Data Engineering with SAP BW/4HANA, SAP ECC/S4, BusinessObjects, SAC, and Celonis Strong knowledge of data integration techniques such as ODP, SLT, ABAP, SQL, and CDS views Experience developing and customizing BI extraction processes using ABAP Familiarity with SAP Datasphere, hybrid architecture, and SAP BPC Understanding of process excellence frameworks, Celonis EMS, DataOps, CI/CD practices, Snowflake, and Tableau What's in it for you? Competitive compensation package Full Benefits; Medical, Vision, Dental, and more! Opportunity to get in with an industry leading organization Why IDR? 25+ Years of Proven Industry Experience in 4 major markets Employee Stock Ownership Program Dedicated Engagement Manager who is committed to you and your success Medical, Dental, Vision, and Life Insurance ClearlyRated's Best of Staffing Client and Talent Award winner 12 years in a row

We're looking for a Data Engineer to build and maintain scalable data pipelines and cloud data infrastructure on GCP. The role focuses on BigQuery, Dataflow, and modern ETL/ELT to support analytics and ML workflows. MUST HAVES A problem solver with ability to analyze and research complex issues and problems; and proposing actionable solutions and/or strategies. Solid understanding and hands on experience with major cloud platforms. Experience in designing and implementing data pipelines. Must have strong Python, SQL & GCP skills Responsibilities Build and optimize batch/streaming pipelines using Dataflow, Pub/Sub, Composer. Develop and tune BigQuery models, queries, and ingestion processes. Implement IaC (Terraform), CI/CD, monitoring, and data quality checks. Ensure data governance, security, and reliable pipeline operations. Collaborate with data science teams and support Vertex AI-based ML workflows. Must-Have Must have strong Python, SQL & GCP skills 3-5+ years of data engineering experience. Hands-on GCP experience (BigQuery, Dataflow, Pub/Sub). Solid ETL/ELT and data modeling experience. Nice-to-Have GCP certifications, Spark, Kafka, Airflow, dbt/Dataform, Docker/K8s.

We are At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron's progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,500+, and has 58 offices in 21 countries within key global markets. Our Challenge Join our data-driven enterprise and lead the design of scalable and high-performance big data solutions. You will craft architectures that handle vast volumes of data, optimize pipeline performance, and incorporate advanced governance and AI-powered processing to unlock actionable insights. Additional Information The base salary for this position varies based on geography and other factors. In accordance with law, the base salary for this role if filled within Alpharetta, GA is $120K - 125K/year & benefits (see below). The Role Responsibilities: Design, build, and maintain scalable big data architectures supporting enterprise analytics and operational needs. Develop, implement, and optimize data pipelines using Apache Airflow, Databricks, and other relevant technologies to ensure reliable data flow and process automation. Manage and enhance data workflows for batch and real-time processing, ensuring efficiency and scalability. Collaborate with data scientists, analysts, and business stakeholders to translate requirements into robust data solutions. Implement data governance, security, and compliance best practices to protect sensitive information. Explore integrating AI/ML techniques into data pipelines, leveraging Databricks and other AI tools for predictive analytics and automation. Develop monitoring dashboards and alert systems to ensure pipeline health and performance. Stay current with emerging big data and cloud technologies, recommending best practices to improve system performance and scalability. Requirements: 5+ years of proven experience in Big Data architecture design, including distributed storage and processing frameworks such as Hadoop, Spark, and Databricks. Strong expertise in performance tuning for large-scale data systems. Hands-on experience with Apache Airflow for workflow orchestration. Proficiency in SQL for managing and querying large databases. Extensive experience with Python for scripting, automation, and data processing workflows. Experience working with cloud platforms (Azure, AWS, or GCP) preferable. Preferred, but not required: Deep understanding of data governance and security frameworks to safeguard sensitive data. Experience with integrating AI/ML models into data pipelines using Databricks MLflow or similar tools. Knowledge of containerization (Docker, Kubernetes) is a plus We offer: A highly competitive compensation and benefits package. A multinational organization with 58 offices in 21 countries and the possibility to work abroad. 10 days of paid annual leave (plus sick leave and national holidays). Maternity & paternity leave plans. A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region). Retirement savings plans. A higher education certification policy. Commuter benefits (varies by region). Extensive training opportunities, focused on skills, substantive knowledge, and personal development. On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses. Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups. Cutting edge projects at the world's leading tier-one banks, financial institutions and insurance firms. A flat and approachable organization. A truly diverse, fun-loving, and global work culture

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 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 under guidance from senior team members 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. 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 in Computer Science or “STEM” Majors (Science, Technology, Engineering and Math) with a minimum of 2+ years of experience 2 years of proficiency in Python. Familiarity with statistical machine learning techniques as applied to business problems Strong analytical and problem-solving skills. Strong communication and collaboration skills. 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: 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 Ability to work in a fast-paced, dynamic environment. Experience with data preprocessing and augmentation tools. Demonstrated experience applying critical thinking and problem-solving Demonstrated experience working in team settings in various roles Strong presentation and communications skills 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, employment will be contingent upon the ability to prove that you meet the status of a U.S. Person as one of the following: U.S. lawful permanent resident, U.S. Citizen, have been granted asylee or refugee status (i.e., a protected individual under the Immigration and Naturalization Act, 8 U.S.C. 1324b(a)(3)). 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: No

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.

Job Family: Data Science Consulting Travel Required: Up to 10% Clearance Required: Ability to Obtain Public Trust What You Will Do: The Biostatistician/AI data scientist I will assist senior team members in performing statistical analyses and developing automated workflows for federal public health and life sciences projects. This role emphasizes foundational biostatistical skills combined with emerging technologies such as GenAI and automation. Key Responsibilities Support development and execution of statistical analyses under supervision. Assist in creating automated workflows and reproducible reports using R Markdown and Python. Contribute to data cleaning, preparation, and visualization tasks. Collaborate with senior biostatisticians and epidemiologists on project deliverables. Learn and apply GenAI tools for enhancing analytic efficiency. What You Will Need: Bachelor's degree is required Basic proficiency in R, SQL, and Python for data analysis. Understanding of regression modeling and descriptive statistics. Understanding of GenAI and other emerging technologies Ability to work collaboratively in a team environment What Would Be Nice To Have: Master's degree Experience with version control tools (e.g., GitHub). Experience with AI and machine learning for data analytics Exposure to GenAI tools and automation frameworks. Familiarity with public health datasets and analytic standards. The annual salary range for this position is $68,000.00-$113,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at ************** or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or ************************. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact *************************. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

5 days onsite in Alpharetta, GA Skills required: Python Data Pipeline Data Analysis Data Modeling Must have solid Cloud experience AI/ML Strong problem-solving skills Strong Communication skill A problem solver with ability to analyze and research complex issues and problems; and proposing actionable solutions and/or strategies. Solid understanding and hands on experience with major cloud platforms. Experience in designing and implementing data pipelines. Must have experience with one of the following: GCP, AWS OR Azure - MUST have the drive to learn GCP.

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

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

Job Family: Data Science Consulting Travel Required: Up to 10% Clearance Required: Ability to Obtain Public Trust About our AI and Data Capability Team Our consultants on the AI and Data Analytics Capability team help clients maximize the value of their data and automate business processes. This high performing team works with clients to implement the full spectrum of data analytics and data science services, from data architecture and storage to data engineering and querying, to data visualization and dashboarding, to predictive analytics, machine learning, and artificial intelligence as well as intelligent automation. Our services enable our clients to define their information strategy, enable mission critical insights and data-driven decision making, reduce cost and complexity, increase trust, and improve operational effectiveness. What You Will Do: Data Collection & Management: Identify, gather, and manage data from primary and secondary sources, ensuring its accuracy and integrity. Data Cleaning & Preprocessing: Clean raw data by identifying and addressing inconsistencies, missing values, and errors to prepare it for analysis. Data Analysis & Interpretation: Apply statistical techniques and analytical methods to explore datasets, discover trends, find patterns, and derive insights. Data Visualization & Reporting: Develop reports, dashboards, and visualizations using tools like Tableau or Power BI to present complex findings clearly to stakeholders. Collaboration & Communication: Work with cross-functional teams, understand business requirements, and effectively communicate insights to support data-driven decision-making. Problem Solving: Address specific business challenges by using data to identify underperforming processes, pinpoint areas for growth, and determine optimal strategies. What You Will Need: US Citizenship is required Bachelor's degree is required Minimum THREE (3) Years Experience using Power BI, Tableau and other visualization tools to develop intuitive and user friendly dashboards and visualizations. Skilled in SQL, R, and other languages to assist in database querying and statistical programming. Strong foundational knowledge and experience in statistics, probability, and experimental design. Familiarity with cloud platforms (e.g., Amazon Web Services, Azure, or Google Cloud) and containerization (e.g., Docker). Experience applying data governance concepts and techniques to assure greater data quality and reliability. he curiosity and creativity to uncover hidden patterns and opportunities. Strong communication skills to bridge technical and business worlds. What Would Be Nice To Have: Hands-on experience with Python, SQL, and modern ML frameworks. Experience in data and AI system development, with a proven ability to design scalable architectures and implement reliable models. Expertise in Python or Java for data processing. Demonstrated work experience within the public sector. Ability to support business development including RFP/RFQ/RFI responses involving data science / analytics. The annual salary range for this position is $113,000.00-$188,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at ************** or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or ************************. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact *************************. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.