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Data scientist jobs in Gainesville, FL - 1,505 jobs

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  • Delivery Consultant - Data Architect, AWS Professional Services, AWS Professional Services, AWS Professional Services

    Amazon 4.7company rating

    Data scientist job in Atlanta, GA

    The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. You will lead customer-focused project teams as a technical leader and perform hands-on development of Data & Analytics solutions with exceptional quality. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project. The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. Key job responsibilities As an experienced technology professional, you will be responsible for: - Leading project teams, designing and implementing end-to-end large-scale, complex, scalable, and secure Data Analytics AWS solutions tailored to customer needs - Providing technical guidance and troubleshooting support throughout project delivery - Collaborating with stakeholders to gather requirements and propose effective Data & Analytics migration and modernization strategies - Acting as a trusted advisor to customers on industry trends and emerging technologies, ensuring compliance with industry standards and governance while aligning data solutions with business strategies. - Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts About the team Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture - Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth - We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Basic Qualifications - 7+ years of technical specialist, design and architecture experience - 5+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience - 7+ years of consulting, design and implementation of serverless distributed solutions experience - 5+ years of software development with object oriented language experience - 3+ years of cloud based solution (AWS or equivalent), system, network and operating system experience - 7+ years of external or internal customer facing, complex and large scale project management experience - 5+ years of cloud architecture and solution implementation experience - Bachelor's degree, or 7+ years of professional or military experience Preferred Qualifications - degree in advanced technology, or AWS Professional level certification - Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies - Knowledge of security and compliance standards including HIPAA and GDPR - Experience in performance optimization and cost management for cloud environments - Experience communicating technical concepts to diverse audiences in pre-sales environments Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $138,200/year in our lowest geographic market up to $239,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************* . This position will remain posted until filled. Applicants should apply via our internal or external career site.
    $138.2k-239k yearly 5d ago
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  • Data Scientist Gen AI

    EXL 4.5company rating

    Data scientist job in Atlanta, GA

    Job Title: Data Scientist - GenAI Work Experience: 5+ Years On-site requirement: 4 days per week at Atlanta office We are looking for a highly capable and innovative Data Scientist with experience in Generative AI to join our Data Science Team. You will lead the development and deployment of GenAI solutions, including LLM-based applications, prompt engineering, fine-tuning, embeddings, and retrieval-augmented generation (RAG) for enterprise use cases. The ideal candidate has a strong foundation in machine learning and NLP, with hands-on experience in modern GenAI tools and frameworks such as OpenAI, LangChain, Hugging Face, Vertex AI, Bedrock, or similar. Key Responsibilities: Design and build Generative AI solutions using Large Language Models (LLMs) for business problems across domains like customer service, document automation, summarization, and knowledge retrieval. Fine-tune or adapt foundation models using domain-specific data. Implement RAG pipelines, embedding models, vector databases (e.g., FAISS, Pinecone, ChromaDB). Collaborate with data engineers, MLOps, and product teams to build end-to-end AI applications and APIs. Develop custom prompts and prompt chains using tools like LangChain, LlamaIndex, PromptFlow, or custom frameworks. Evaluate model performance, mitigate bias, and optimize accuracy, latency, and cost. Stay up to date with the latest trends in LLMs, transformers, and GenAI architecture. Required Skills: 5+ years of experience in Data Science / ML, with 1+ year hands-on in LLMs / GenAI projects. Strong Python programming skills, especially in libraries such as Transformers, LangChain, scikit-learn, PyTorch, or TensorFlow. Experience with OpenAI (GPT-4), Claude, Mistral, LLaMA, or similar models. Knowledge of vector search, embedding models (e.g., BERT, Sentence Transformers), and semantic search techniques. Ability to build scalable AI workflows and deploy them via APIs or web apps (e.g., FastAPI, Streamlit, Flask). Familiarity with cloud platforms (AWS/GCP/Azure) and MLOps best practices. Excellent communication skills with the ability to translate technical solutions into business impact. Preferred Qualifications: Experience with prompt tuning, few-shot learning, or LoRA-based fine-tuning. Knowledge of data privacy and security considerations in GenAI applications. Familiarity with enterprise architecture, SDLC, or building GenAI use cases in regulated domains (e.g., finance, insurance, healthcare). For more information on benefits and what we offer please visit us at **************************************************
    $67k-91k yearly est. 1d ago

  • Data Scientist

    Zimmerman Advertising 4.2company rating

    Data scientist job in Fort Lauderdale, FL

    The Data Scientist works closely with Retail Technology, Media and Account Services teams to provide predictive modeling of Marketing, Direct & Digital Efforts. We are looking for a motivated Data Scientist and analytical thought leader. This is a rare opportunity to be part of a diverse and newly expanded analytics department and a great fit for a predictive modeler with a desire to impact business results. Responsibilities Apply specialized technical knowledge and expertise to perform reviews relating to the full life cycle of models, information technology applications, or risk management/analysis used across the company. Collaborate and share knowledge with teams across the media organization, as appropriate. Build and maintain relationships with business partners at the manager and staff levels. Use data analysis, mining, and migration techniques for enhanced targeting, audience segmentation, clustering, profiling, and regression analysis Identify digital placement-level strengths and weaknesses across simultaneous campaigns and geographies Develop and maintain internal automated reporting tools, documents, scoring systems, and dashboards for on-going and post-campaign reporting Coordinate cross-functional reviews to discuss region- and campaign-specific findings and actionable recommendations for digital media campaigns built on various CPM, CPC, CPE, and CPA models Identify and facilitate resolution of tagging issues in coordination with Traffic and Production teams focused on site-side tracking, reporting, and implementation Provide client-facing/non-technical recommendations and insights, both in a written and verbal manner, that provide understandable and actionable optimizations. Work with Media, Strategic Intelligence and Account Services teams to develop measurement plans to deliver on campaign and client objectives Requirements Bachelor's degree in related field 2-3 years experience in data and analytics field Must demonstrate the ability to successfully develop and run analytics (scripts) using specialized tools and platforms, specifically, R, Python, SQL, and/or SAS. Experience applying data synthesis, mining and regression techniques for enhanced targeting, audience segmentation, clustering, profiling, and insightful recommendations Advanced knowledge of Microsoft Excel General understanding of digital advertising, digital media strategy, ad placement type, placement-level insight, and standard media metrics Experience with data orchestration tools such as Annalect Omni Excellent verbal, written and interpersonal communication skills Ability to work independently and as part of a team Ability to manage multiple projects simultaneously while meeting deadlines Regression modeling focusing on maximizing yield while measuring the diminishing returns of ad spend at scale for thousands of locations. Data storytelling and presentation
    $57k-82k yearly est. 1d ago

  • Data Scientist

    Visa 4.5company rating

    Data scientist job in Miami, FL

    Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose - to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description Visa USA Inc., a Visa Inc. company, needs a Data Scientist (multiple openings) in Miami, FL to: Extract and understand data to form an opinion to support clients and derive relevant insights. Develop visualizations to make complex analyses accessible to a broad audience. Craft products out of analyses that are suitable for multiple clients. Work with stakeholders throughout the organization to identify opportunities for leveraging Visa data to drive business solutions. Mine and analyze data from company databases to drive optimization and improvement of product, marketing techniques and business strategies for Visa and its clients. Assess the effectiveness and accuracy of new data sources and data gathering techniques. Develop custom data models and algorithms to apply to data sets. Use predictive modeling to increase and optimize customer experiences, revenue generation, data insights, advertising targeting and other business outcomes. Develop processes and tools to monitor and analyze model performance and data accuracy. Position reports to the Miami, Florida office and may allow for partial telecommuting. Qualifications Basic Qualifications: Bachelor's degree in Engineering, Mathematics, Statistics, Machine Learning, Analytics, Information Systems or related field and 2 years of experience in the job offered or in a Data Scientist-related occupation. Alternatively, a Master's degree in Engineering, Mathematics, Statistics, Machine Learning, Analytics, Information Systems or related field. Position requires experience in the following: Big Data; (Spark, Hadoop, Hive, Python, Conda, Presto, Docker). Machine Learning. SQL. Tableau. Statistics (Design of Experiments). Marketing Analytics. Additional Information Worksite: Miami, FL This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs. Travel Requirements:This position does not require travel. Mental/Physical Requirements:This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is $116,800.00 USD to $180,600.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.
    $116.8k-180.6k yearly 2d ago

  • Senior Data Engineer

    Toorak Capital Partners

    Data scientist job in Tampa, FL

    Company: Toorak Capital Partners is an integrated correspondent lending and table funding platform that acquires business purpose residential, multifamily and mixed-use loans throughout the U.S. and the United Kingdom. Headquartered in Tampa, FL., Toorak Capital Partners acquires these loans directly from a network of private lenders on a correspondent basis. Summary: The role of the Lead Data Engineer is to develop, implement, for building high performance, scalable data solution to support Toorak's Data Strategy Lead Data architecture for Toorak Capital. Lead efforts to create API framework to use data across customer facing and back office applications. Establish consistent data standards, reference architectures, patterns, and practices across the organization for both OLTP and OLAP (Data warehouse, Data Lake house) MDM and AI / ML technologies Lead sourcing and synthesis of Data Standardization and Semantics discovery efforts turning insights into actionable strategies that will define the priorities for the team and rally stakeholders to the vision Lead the data integration and mapping efforts to harmonize data. Champion standards, guidelines, and direction for ontology, data modeling, semantics and Data Standardization in general at Toorak. Lead strategies and design solutions for a wide variety of use cases like Data Migration (end-to-end ETL process), database optimization, and data architectural solutions for Analytics Data Projects Required Skills: Designing and maintaining the data models, including conceptual, logical, and physical data models 5+ years of experience using NoSQL systems like MongoDB, DynamoDB and Relational SQL Database systems (PostgreSQL) and Athena 5+ years of experience on Data Pipeline development, ETL and processing of structured and unstructured data 5+ years of experience in large scale real-time stream processing using Apache Flink or Apache Spark with messaging infrastructure like Kafka/Pulsar Proficiency in using data management tools and platforms, such as data cataloging software, data quality tools), and data governance platforms Experience with Big Query, SQL Mesh(or similar SQL-based cloud platform). Knowledge of cloud platforms and technologies such as Google Cloud Platform, Amazon Web Services. Strong SQL skills. Experience with API development and frameworks. Knowledge in designing solutions with Data Quality, Data Lineage, and Data Catalogs Strong background in Data Science, Machine Learning, NLP, Text processing of large data sets Experience in one or more of the following: Dataiku, DataRobot, Databricks, UiPath would be nice to have. Using version control systems (e.g., Git) to manage changes to data governance policies, procedures, and documentation Ability to rapidly comprehend changes to key business processes and the impact on overall Data framework. Flexibility to adjust to multiple demands, shifting priorities, ambiguity, and rapid change. Advanced analytical skills. High level of organization and attention to detail. Self-starter attitude with the ability to work independently. Knowledge of legal, compliance, and regulatory issues impacting data. Experience in finance preferred.
    $72k-99k yearly est. 3d ago

  • Property & Casualty Actuary - PR13022

    Pryor Associates Executive Search

    Data scientist job in Atlanta, GA

    Property & Casualty Actuary opening in NJ or GA. Play key role in pricing E&S business involving General Liability, Commercial Auto, Workers Compensation, and Commercial Property; perform profitability analysis; design, build, and maintain pricing models and monitoring tools/reports; participate in reinsurance purchasing; collaborate with Underwriters, Claims, Finance, and senior management. Ideal candidate is ACAS or FCAS with 6+ years of P&C experience including General Liability pricing; background in Excel, Power BI, SQL, Python, or R advantageous. (PR13022)
    $61k-95k yearly est. 4d ago

  • Subcontractor Prequalification and Data Integration Coordinator

    Stiles 4.1company rating

    Data scientist job in Fort Lauderdale, FL

    About the Company For over 70 years, Stiles has been a leader in commercial real estate across the Southeast. Headquartered in downtown Fort Lauderdale, we're a full-service firm with expertise in development, construction, architecture, realty, and property management - plus specialties in financing, acquisitions, and repositioning. With over 50 million square feet of projects delivered, our award-winning work has helped shape skylines and communities alike. Be part of a team that invests, builds, and manages with purpose. About the Role We are seeking a detail-oriented and proactive Subcontractor Prequalification & Data Integration Coordinator to manage the end-to-end process of subcontractor prequalification invitations, tracking and progressions supporting our Subcontractor Default Insurance (SDI) program. This role is also responsible for maintaining data integrity between our subcontractor invitation-to-bid software and internal databases, ensuring seamless communication and accurate records across platforms. Key Responsibilities: Subcontractor Prequalification Management: Coordinate and send prequalification invitations to subcontractors participating in the SDI program. Track responses and follow up with subcontractors to ensure timely completion. Maintain accurate records of prequalification status and documentation. Data Synchronization & Integration: Ensure subcontractor data is consistently updated and synchronized between the SDI platform and invitation-to-bid software. Monitor data flows and troubleshoot discrepancies between systems. Collaborate with IT and software vendors to optimize integration processes. Reporting & Compliance: Generate regular reports on prequalification status, compliance metrics, and data integrity. Support audits and internal reviews by providing accurate and timely documentation. Ensure all processes align with company policies and insurance program requirements. Gather information for bordereau reports and update with risk managers. Stakeholder Communication: Serve as a liaison between project teams, risk management, accounting and subcontractors regarding prequalification and data issues. Provide training and support to internal users on software tools and workflows. Qualifications: Experience with subcontractor management, insurance programs, or construction operations preferred. Familiarity with invitation-to-bid platforms (i.e., SmartBid) and database tools. Strong organizational skills and attention to detail. Excellent communication and problem-solving abilities. Proficiency in Excel and data management systems. Stiles is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all individuals regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected status in accordance with applicable federal, state, and local laws.
    $37k-59k yearly est. 3d ago

  • Data Engineer

    Insight Global

    Data scientist job in Atlanta, GA

    *Role is Onsite 4 days a Week, Monday - Thursday in Atlanta* *Role is an Ongoing Contract* This position is hiring a Data Engineer with experience focused on testing data in a software engineering capacity. Some of that data might live in relational systems, this role focuses on monitoring data quality as it moves through a data lake. This role is specifically focusing on implementing QA testing for AI analytical models. A strong knowledge of machine learning processes and frameworks is required. As a Quality Assurance Data Engineer, you will play a crucial role in ensuring the integrity, reliability, and high performance of our decision-making data platform. Your expertise will be pivotal in enforcing data quality standards, performing rigorous testing, detecting, and resolving data issues, and supporting the continuous improvement of our software development processes. With strong analytical and communication skills, this role brings attention to detail and technical expertise to the testing process, ensuring the delivery of robust and error-free data analytical solutions through both manual and automated testing. In this role, you will ensure the quality and reliability of our AI models and systems, playing a critical part in the development and improvement of our AI-driven products. *role can pay $50-$80 an hour based on YOE*
    $50-80 hourly 3d ago

  • Data Architect

    Novocure Inc. 4.6company rating

    Data scientist job in Miami, FL

    We are seeking an experienced and innovative Data Architect to lead the design, development, and optimization of our enterprise data architecture. This individual will play a critical role in aligning data strategy with business objectives, ensuring data integrity, and driving value from data across multiple platforms. The ideal candidate will have deep expertise in data architecture best practices and technologies, particularly across SAP S/4 HANA, Veeva CRM, Veeva Vault, SaaS platforms, Operational Data Stores (ODS), and Master Data Management (MDM) platforms. This is a full-time, position reporting to the Director, Enterprise Architecture ESSENTIAL DUTIES AND RESPONSIBILITIES: Design, develop, and maintain scalable and secure enterprise data architecture solutions across SAP S/4 HANA, Veeva CRM, and Veeva Vault environments. Serve as a subject matter expert for Operational Data Stores and Master Data Management architecture, ensuring clean, consistent, and governed data across the enterprise. Collaborate with cross-functional teams to identify data needs, establish data governance frameworks, and define data integration strategies. Develop data models, data flows, and system integration patterns that support enterprise analytics and reporting needs. Evaluate and recommend new tools, platforms, and methodologies for improving data management capabilities. Ensure architectural alignment with data privacy, regulatory, and security standards. Provide leadership and mentoring to data engineering and analytics teams on best practices in data modeling, metadata management, and data lifecycle management. Contribute to data governance initiatives by enforcing standards, policies, and procedures for enterprise data. QUALIFICATIONS/KNOWLEDGE: Bachelor's or Master's degree in Computer Science, Information Systems, Data Science, or a related field. Minimum of 8+ years of experience in data architecture, data integration, or enterprise data management roles. Proven experience in designing and implementing data solutions on SAP S/4 HANA, including integration with other enterprise systems. Strong hands-on experience with SaaS platforms, including data extraction, modeling, and harmonization. Deep understanding of Operational Data Stores and MDM design patterns, implementation, and governance practices. Proficiency in data modeling tools (e.g., Erwin, SAP PowerDesigner), ETL tools (e.g., Business Objects Data Services, SAP Data Services), and integration platforms (e.g., MuleSoft). Familiarity with cloud data architecture (e.g., AWS, Azure, GCP) and hybrid data environments. Excellent communication and stakeholder management skills. OTHER: Experience with pharmaceutical, life sciences, or regulated industry environments. Knowledge of data privacy regulations such as GDPR, HIPAA, and data compliance frameworks Ability to travel domestically and internationally as needed for high priority projects Novocure is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state, or local law. We actively seek qualified candidates who are protected veteran and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Novocure is committed to providing an interview process that is inclusive of our applicant's needs. If you are an individual with a disability and would like to request an accommodation, please email ABOUT NOVOCURE: Our vision Patient-forward: aspiring to make a difference in cancer. Our patient-forward mission Together with our patients, we strive to extend survival in some of the most aggressive forms of cancer by developing and commercializing our innovative therapy. Our patient-forward values innovation focus drive courage trust empathy #LI-RJ1
    $81k-114k yearly est. 4d ago

  • Data Analyst

    Navy Federal Credit Union 4.7company rating

    Data scientist job in Pensacola, FL

    Design, develop, and optimize data pipelines and systems for efficient data collection, integration, and storage. Interpret data to generate insights and implement reliable data processing workflows that ensure data quality and system stability. Apply data governance practices across ETL pipelines, metadata management, security, and lineage tracking. Develop understanding of business objectives to align data solutions and address increasingly complex data challenges while building proficiency in standard procedures and techniques. Responsibilities Develop and maintain data pipelines and workflows using Data Factory and SQL Server Integration Services. Format data from APIs into SQL servers. Collaborate with stakeholders to gather data requirements and ensure alignment with business needs and objectives. Design and build data pipelines for data collection, connection, and storage. Develop and enforce data engineering policies and best practices to ensure data integrity. Proficient in querying MongoDB and integrating data across database systems for efficient data retrieval and processing. Ensure data quality and performance at scale. Ensure high performance and scalability of data systems and processes. Help with the collection, connection, and storage of data. Optimize existing data workflows and ensure system reliability. Collaborate with team members and participate in team projects and initiatives. Qualifications Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field. 3-5 years of experience in data engineering and governance. Advanced knowledge of SQL language. Advanced understanding of API frameworks and JSON transformations. Understanding of various data warehousing architectures (Mongo, Azure, SQL, etc.). Basic understanding of business and operating environment. Basic knowledge of programming languages (Mongo, Python, PowerShell, R, SQL, C#). Experience with data management, processing and analytic tools (Databricks). Experience with data integration and processing tools. Basic problem-solving skills. Basic communication and collaboration skills. Working experience with data warehousing solutions, ETL tools, and data system design. Basic knowledge of data engineering principles, technologies, and architecture. Hours: Monday - Friday, 8:00AM - 4:30PM Locations: 820 Follin Lane, Vienna, Virginia 22180 | 5550 Heritage Oaks Drive, Pensacola, FL 32526 | 141 Security Drive, Winchester, VA 22602 About Us Navy Federal provides much more than a job. We provide a meaningful career experience, including a culture that is energized, engaged and committed; and fierce appreciation for our teams, who are rewarded with highly competitive pay and generous benefits and perks. Our approach to careers is simple yet powerful: Make our mission your passion.* Fortune 100 Best Companies to Work For 2025* Yello and WayUp Top 100 Internship Programs* Computerworld Best Places to Work in IT* Newsweek Most Loved Workplaces* 2025 PEOPLE Companies That Care* Newsweek Most Trustworthy Companies in America* Military Times 2025 Best for Vets Employers* Best Companies for Latinos to Work for 2024* Forbes 2025 America's Best Large Employers* Forbes 2025 America's Best Employers for New Grads* Forbes 2025 America's Best Employers for Tech Workers* 2025 RippleMatch Campus Forward Award Winner for Overall Excellence* Military.com Top Military Spouse Employers 2025* 2025 Handshake Early Talent AwardFrom Fortune . 2025 Fortune Media IP Limited. All rights reserved. Used under license. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of, Navy Federal Credit Union.Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to age, race, sex, color, religion, national origin, disability, veteran status, pregnancy, sexual orientation, genetic information, gender identity or any other basis protected by applicable law.Disclaimers: Navy Federal reserves the right to fill this role at a higher/lower grade level based on business need. An assessment may be required to compete for this position. Job postings are subject to close early or extend out longer than the anticipated closing date at the hiring team's discretion based on qualified applicant volume. Navy Federal Credit Union assesses market data to establish salary ranges that enable us to remain competitive. You are paid within the salary range, based on your experience, location and market position. For additional details regarding compensation and benefits, review the Benefits page of the Navy Federal Career Site.Protect Yourself from Job Scams: Navy Federal Credit Union jobs are posted on our career site, jobs.navyfederal.org and reputable job boards (e.g., LinkedIn, Indeed). We do not post jobs on social media marketplaces, messaging apps or unverified websites. We will never ask candidates for payment, bank details or personal financial information during the hiring process.Bank Secrecy Act: Remains cognizant of and adheres to Navy Federal policies and procedures, and regulations pertaining to the Bank Secrecy Act.
    $53k-69k yearly est. 5d ago

  • SR Data Engineer

    Alliance Technical Group 4.8company rating

    Data scientist job in Atlanta, GA

    Summary/Objective Alliance Technical Group is seeking an experienced Senior Data Engineer to design, build, and optimize the databases and data systems that power our business intelligence and analytics platforms. In this role, you will lead the creation of scalable pipelines, data models, and cloud-based architecture that ensures reliable, high-quality data across the organization. You will architect and implement new database solutions, drive migration and optimization efforts in PostgreSQL and Snowflake, and advance data governance initiatives. Working in an agile, cross-functional environment, you will translate business needs into scalable solutions while ensuring security, integrity, and performance. This role is ideal for someone who thrives on building data platforms from the ground up and shaping enterprise data strategy. This position is remote but may follow a hybrid schedule for candidates located within 60 miles of an Alliance office. Essential Functions Architect and implement new databases and data platforms to meet business and technical requirements Build and maintain scalable ELT/ETL pipelines and data models for analytics and reporting Manage and optimize database environments, including provisioning, performance tuning, and access controls Implement and manage automation and workflow orchestrations for reliable, repeatable deployments Ensure data quality, consistency, and compliance through robust validation and monitoring practices Collaborate with cross-functional teams to define technical requirements, estimate development efforts, and deliver business-aligned solutions Troubleshoot complex issues, recommend improvements, and maintain clear documentation of data systems, processes, and solutions proposed/implemented Mentor junior data engineers, providing technical guidance, code reviews, and best practices Required Qualifications Bachelor's degree in Computer Science, Information Systems, or related field (or equivalent experience) 10+ years of hands-on experience with relational databases, including designing and implementing new database systems Knowledge, Skills, & Abilities Proven experience designing and building new databases and large-scale data systems, particularly in PostgreSQL and Snowflake; hands-on experience with dbt Demonstrated ability to develop and optimize ELT/ETL pipelines for complex data sets Experience with cloud architecture, workflow orchestration, and Git-based version control Knowledge of data governance, data quality, and validation practices Strong troubleshooting and root-cause analysis skills Excellent communication skills and experience working in agile, cross-functional teams Working knowledge of Python preferred, familiarity with data visualization principles a plus Work Environment While performing the duties of this job, the employee regularly works in an office setting with constant sitting and occasional standing. Physical Demands Prolonged periods of sitting or standing at a desk while using a computer. Travel Not Applicable Other Duties Please note this job description is intended to describe the general nature and level of work performed by employees assigned to this position. It is not designed to contain or be interpreted as a comprehensive list of all duties, responsibilities, and qualifications. Additional job-related duties may be assigned. Alliance reserves the right to amend and change responsibilities to meet business and organizational needs as necessary with or without notice. Employee Benefits: Key Benefits Include: - Medical, Dental, and Vision Insurance - Flexible Spending Accounts - 401(K) Plan with Competitive Match - Continuing Education and Tuition Assistance - Employer-Sponsored Disability Benefits - Life Insurance - Employee Assistance Program (EAP) - Paid Time Off (PTO), Paid Holidays, & Bonus Floating Holiday (if hired before July 1st) - Profit Sharing or Individual Bonus Programs - Referral Program - Per Diem & Paid Travel - Employee Discount Hub Salary based upon experience. EEO Commitment: We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, national origin, ethnicity, sex, pregnancy, sexual orientation, gender identity/expression, including transgender identity, religion, disability, age, genetics, active military or veteran status and any other characteristics protected under applicable federal or state law.
    $81k-108k yearly est. 3d ago

  • Data Scientist

    The Energy Authority 4.1company rating

    Data scientist job in Jacksonville, FL

    The Energy Authority is a public power-owned, nonprofit corporation with offices in Jacksonville, Florida and Bellevue (Seattle), Washington. TEA provides public power utilities with access to advanced resources and technology systems so they can respond competitively in the changing energy markets. Through partnership with TEA, utilities benefit from an experienced organization that is singularly focused on deriving the maximum value of their assets from the market. Quantitative Analytics & Research Analyst The energy landscape is evolving, and so are the challenges our Clients face. TEA's Quantitative Analytics & Research team is looking for an innovative and analytical mind to help transform complex market trends into cutting-edge solutions. If you're passionate about machine learning, optimization, and statistical modeling and thrive in a fast-paced environment where curiosity meets impact, this is your opportunity to make a difference! Why You'll Love This Role: Build models that drive the future of energy markets and empower clients to make smarter, data-driven decisions. Work alongside a collaborative team of data scientists and industry experts who thrive on tackling complex challenges. Explore new ideas, experiment with innovative solutions, and see your work deliver impact across a wide range of clients. What You'll Do: Clean, transform, and validate structured and unstructured data to ensure data quality and reliability. Maintain existing machine learning and optimization models, updating them as needed. Research and experiment with new methods to enhance current models as well as develop new solutions. Collaborate with cross-functional teams to maintain data pipelines. Collaborate with cross-functional teams to understand the business requirements and deliver solution effectively. Document workflows, methodologies, and data sources to ensure transparency and reproducibility. What You Bring to the Team: Passion for analytics and problem-solving with a drive to find meaningful insights in complex data. Strong skills in machine learning, predictive modeling, and optimization techniques such as regression, neural networks, and feature engineering. Solid understanding of electricity markets, including economic dispatch, marginal pricing, and market clearing rules. Proficiency in R or Python, with a working knowledge of web design (HTML, CSS, JavaScript, R-Shiny),Stochastic approach, and database queries. Your Growth Path at TEA: Level 1 Data Scientist: Operate and maintain models, gaining hands-on experience with TEA's tools and industry functions. Level 2 Data Scientist: Design and refine analytical models, assess their effectiveness, and contribute to cutting-edge solutions. Level 3 Data Scientist: Provide strategic insights, manage projects, and support TEA's business development initiatives. Level 4 Senior Data Scientist: Serve as a subject matter expert, mentor team members, and lead high-impact initiatives. What You Need to Succeed: Bachelors and/or Masters in Data Science, Computer Science, Engineering or other relevant field. Industry experience in analyzing data, maintaining and developing models is preferred. Proficiency in programming languages Python or R. Strong foundation in the following subjects: statistics, machine learning, and optimization. Background in energy and power systems is preferred. Eagerness to learn, receive feedback, and grow technical depth. Strong problem-solving and analytical thinking. Good communication skills; ability to understand the requirements and present the results to stakeholders. Tools & Technology You'll Work With: Microsoft Word, Excel/Visual Basic, and other advanced analysis tools. Large-scale utility simulation software such as PROMOD, PLEXOS, AuroraXMP, GE Maps, Dayzer, PSS/e, and PowerWorld. Decision analysis techniques such as decision trees and influence diagrams. Compensation & Benefits: Competitive Salary: Based on experience, level and location. Incentives: Annual target short-term incentive rate of 17.5% of base salary based on corporate, team, and individual performance. Benefits: Paid Time Off starting at 17 days per year, plus nine paid holidays. 401(a) employer contribution and 457(b) deferred compensation retirement savings plans. Medical, dental, vision, life, AD&D, and disability insurance. Health savings and flexible spending accounts. A great work-life balance and visibility to senior executives in a supportive company culture. TEA Values TEA employees share a common sense of purpose. When TEA accomplishes its mission, the result is improved quality of life for the citizens and businesses of the communities our clients serve. TEA employees exceed the expectations of those they serve, deliver services with the highest standards of fair, honest, and ethical behavior, set the standard for service and expertise in our industry, embody a spirit of collaboration, and embrace TEA's founding entrepreneurial spirit by seizing opportunities to deliver value. If you are self-motivated, driven to deliver excellence, and passionate about your career, TEA is the perfect place for you. It's YOUR Future. It's OUR Future.
    $71k-93k yearly est. Auto-Apply 60d+ ago

  • Data Scientist

    Charter Global 4.0company rating

    Data scientist job in Atlanta, GA

    Charter Global is a global Information Technology and Solutions provider with more than 19 years of proven track record in gaining customer confidence. We support our customer needs in Asia-Pacific, Europe and the Americas (North and Latin). Our customers are in a variety of vertical industries: Energy, Finance, Healthcare, Government, Retail, Fulfillment Logistics, Manufacturing and Telecom. Charter Global has honed the processes, methodologies, tools and functions to deliver software services via a Global Delivery Model which blends in local and remote resources to get the job done - consistently Here is the Job details: Title: 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
    $64k-87k yearly est. 1d ago

  • Jr. Data Scientist

    Tech Consulting 3.9company rating

    Data scientist job in Atlanta, GA

    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
    $66k-90k yearly est. 60d+ ago

  • Data Scientist

    Ubertal 4.0company rating

    Data scientist job in Orlando, FL

    We are passionate people with an expert understanding of the digital consumer, data sciences, global telecom business, and emerging financial services. And we believe that we can make the world a better place. Job Description Looking for candidate making a career in Data Science with experience applying advanced statistics, data mining and machine learning algorithms to make data-driven predictions using programming languages like Python (including: Numpy, Pandas, Scikit-learn, Matplotlib, Seaborn), SQL (Postgresql). Experience with ElasticSearch, information/document retrieval, natural language processing is a plus. Experience with various machine learning methods (classification, clustering, natural language processing, ensemble methods, outlier analysis) and parameters that affect their performance also helps. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. Qualifications Qualifications · Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) · At least 2 years' of experience in quantitative analytics or data modeling · Some understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms · Fluency in these programming languages (Python, SQL), Javascript/HTML/CSS/Web Development nice to have. · Familiarity with data science frameworks and visualization tools (Pandas, Visualizations (matplotlib, altair, etc), Jupyter Notebooks) Additional Information Responsibilities · Analyze raw data: assessing quality, cleansing, structuring for downstream processing · Design accurate and scalable prediction algorithms · Collaborate with engineering team to bring analytical prototypes to production · Generate actionable insights for business improvements tion will be kept confidential according to EEO guidelines.
    $64k-90k yearly est. 60d+ ago

  • Data Scientist_Juno beach FL_Statistical_RF, SVM, LR, time-series exp)_w2

    360 It Professionals 3.6company rating

    Data scientist job in Juno Beach, FL

    360 IT Professionals is a Software Development Company based in Fremont, California that offers complete technology services in Mobile development, Web development, Cloud computing and IT staffing. Merging Information Technology skills in all its services and operations, the company caters to its globally positioned clients by providing dynamic feasible IT solutions. 360 IT Professionals work along with its clients to deliver high-performance results, based exclusively on the one of a kind requirement. Job Description We are looking to fill a position for Data Scientist in Juno Beach FL. Qualifications • Experience as a Data Scientist (5+ years); • Experience with regression and classification techniques (RF, SVM, LR, time-series models, etc); • Experience with statistical analysis packages (R, Python, STRATA, Matlab, etc); • Bachelor's degree in engineering, applied math, physics, statistics or computer science is required; • Master's degree/ Doctoral degree (preferred). Additional Information In person interview is acceptable.
    $66k-90k yearly est. 60d+ ago

  • Data Scientist

    Nextgen 3.6company rating

    Data scientist job in Georgia

    The Data Scientist will contribute to the development of AI and Generative AI (GenAI) models and workflows tailored for the healthcare domain. This role will work on building solutions that address real-world challenges. This role offers an exciting opportunity to apply knowledge of GenAI, machine learning, and healthcare-specific requirements while collaborating with a multidisciplinary team of experts. Develop workflows to enhance the efficiency and accuracy of note-taking in healthcare settings. Collaborate with data engineers, product teams, and clinical experts to ensure solutions align with healthcare workflows and standards. Address healthcare-specific challenges such as HIPAA compliance, medical terminology integration, and adherence to standards like ICD, CPT, and HL7/FHIR. Stay updated with the latest advancements in GenAI, NLP, computer vision, and healthcare AI technologies. Perform other duties that support the overall objective of the position. Education Required: Bachelor's degree (or higher) in Computer Science, Data Science, Artificial Intelligence, or a related field. Or, any combination of education and experience which would provide the required qualifications for the position. Experience Required: Experience working with multiple GenAI models, including open-source. Experience with natural language processing (NLP) and computer vision techniques. Experience in data preprocessing and model deployment. Knowledge, Skills & Abilities: Knowledge of: Strong foundational knowledge of generative AI techniques and frameworks (e.g., Transformers, GPT, diffusion models). Proficiency in machine learning tools and frameworks such as TensorFlow, PyTorch, or Scikit-learn. Familiarity with healthcare data structures, workflows, and challenges (e.g., EMR/EHR integration, ICD/CPT coding, HL7/FHIR). Knowledge of voice recognition and transcription technologies is a plus. Skill in: Strong programming skills in Python or similar languages. Strong problem-solving skills and a growth mindset. Ability to: Eagerness to learn and adapt in a fast-paced, mission-driven environment. The company has reviewed this to ensure that essential functions and basic duties have been included. It is intended to provide guidelines for job expectations and the employee's ability to perform the position described. It is not intended to be construed as an exhaustive list of all functions, responsibilities, skills and abilities. Additional functions and requirements may be assigned by supervisors as deemed appropriate. This document does not represent a contract of employment, and the company reserves the right to change this job description and/or assign tasks for the employee to perform, as the company may deem appropriate. NextGen Healthcare is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
    $65k-88k yearly est. Auto-Apply 60d+ ago

  • Data Scientist I

    Optimal Solutions and Technologies 3.3company rating

    Data scientist job in Orlando, FL

    Optimal Solutions & Technologies (OST, Inc.) is focused on excellence. We specialize in providing Management Consulting, Information Technology, and Research Development and Engineering services. The fundamental distinction of the OST team is its business knowledge in both the public and private sectors. We serve the aerospace & transportation, association & nonprofit, defense, education, energy, financial, healthcare, and technology & telecommunications industries. OST is successful because we listen to our clients, we learn from our clients, and we know our clients. Data Scientist I Description of specific duties in a typical workday for this position: * Applies statistics and data science methods to develop insights, prototypes, and decision-support analyses that improve CPE-STRI program performance and modernization outcomes as well as supporting Agile Solution Implementation for providing proactive metrics analysis (e.g. Velocity and Capacity Forecasting) * Works with senior data scientists and engineers to prepare data, run experiments, and communicate results to technical and non-technical stakeholders. * Key Responsibilities include: * Perform exploratory data analysis, feature engineering, and baseline model development. * Develop reproducible notebooks/scripts and document assumptions, methods, and results. * Support model validation, bias checks, and monitoring plans. * Collaborate with engineers to transition prototypes into deployable pipelines where appropriate. Requirements (Years of experience, Education, Certifications): * 5 years of experience with BA/BS (or equivalent). * Experience with Python/R and common statistical/ML libraries; comfortable communicating analytic results. * Familiarity with data ethics, validation, and reproducibility practices. * Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related field * Active SECRET strongly desired; ability to obtain and maintain SECRET (or higher) required. Task-order DD254 may require higher clearance (e.g., TS/SCI). Nice to Have (skills that are not required, but nice to have): * Exposure to operational datasets and performance metrics in DoD or large enterprise contexts * Experience with visualization tools to communicate results * Experience working with protected data and RBAC This is a full-time position paying a base salary, full benefits, and has possible bonus potential based on merit and performance. To be considered for this position, please apply online with a resume. OST is an equal opportunity employer. Applicants are considered for positions without regard to race, religion, gender, native origin, age, disability, or any other category protected by applicable federal, state, or local laws.
    $65k-88k yearly est. 6d ago

  • Staff Data Scientist

    GE Aerospace 4.8company rating

    Data scientist job in Alpharetta, GA

    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
    $67k-88k yearly est. Auto-Apply 60d+ ago

  • Senior GEOINT Data Scientist (TS/SCI)

    Xcellent Technology Solutions 3.6company rating

    Data scientist job in Miami, FL

    Every day, decision are made that shape operations across the U.S. Southern Command area of responsibility. Those decisions depend on intelligence that is clear, defensible, and timely intelligence that turns geospatial data into understanding. This role exists to make that happen. This is an exciting opportunity to join us as a Senior GEOINT Data Scientist to support the National Geospatial-Intelligence Agency (NGA) on high-priority mission. The work is operational, mission-driven, and grounded in real-world impact to inform planning, targeting, and execution. Across the USSOUTHCOM AOR, transnational criminal organizations adapt quickly, shifting routes, methods, and infrastructure. Coca cultivation and production regions change. Networks evolve. The data is massive, fragmented, and imperfect. You will be sought to bring order to that complexity. Taking large, diverse datasets and building analytic processes that expose patterns, relationships, and behaviors others can't see. You'll design workflows that can be repeated, trusted, and scaled. This is a senior, independent role. You will lead analytic efforts with minimal direction, applying experience, judgment, and rigor to every product. Ensuring analytic standards are met, assumptions are clear, and conclusions are defensible aligned with ICD 203 and ICD 206. Collaborating across NGA and Intelligence Community partners, you'll help integrate perspectives and strengthen collective understanding. Advising government leadership on analytic methodologies, processes, and technologies, while mentoring others and setting the standards for quality and relevance. The mission will keep moving, network will adapt, patterns will shift, and new questions will emerge. What won't change is the need for intelligence that is trusted, actionable, and timely. If you want to be a part of delivering that clarity, join XTS today! Requirements Current active Top Secret / SCI clearance and willingness to obtain CI poly You have achieved the accomplishment of a Master's degree + 5 years / Bachelor's degree + 7 years / Associate's degree + 8 years / 10 + years of relevant experience. You have robust proficiency in Python in order to automate and create solutions that scale, adapt, and withstand mission demands. You have gained strong expertise in building processes around large datasets to support in designing repeatable methods that extract real discoveries from complexity. You have a strong skillset in operational visualization in order to make discoveries and present them through clear, intuitive visualizations that team can use immediately in daily operations. Experienced with GEOINT standards and structured data management to ensure accuracy, consistency, and trust in the intelligence delivered. Experience with tools such as ArcGIS, Tableau, SPSS, SAS, Excel, or similar to query, aggregate and optimize large datasets. Nice to Have Experience with Activity-Based Intelligence (ABI), to understand behavior, patterns, and relationships over time, not just static snapshots. This approach allows analysis to anticipate change rather than simply describe it. If you're ready to apply your intelligence background and technical expertise to problems of national importance, ensuring NGA's mission is carried out with precision, speed, and impact, send your resume directly to Lanchi Lai at [email protected] At XTS, we believe in taking care of our employees as much as we take care of our clients. As a veteran-owned company, we understand the importance of community, service, and fostering a culture where each team member can thrive. Our commitment to employee well-being is reflected in the comprehensive benefits and growth opportunities we offer. We offer tailored health care plans that fit your lifestyle, along with dental and vision coverage, paid time off (PTO), and a 401K with employer matching to secure your financial future. As we push forward in the rapidly evolving field of AI, XTS is committed to providing employees with tools and opportunities to stay ahead. We are proud to offer a GeoAI scholarship to help our employees further develop their skills and expertise in this cutting-edge field. We take pride in delivering elite workforces to the Intelligence Community, making a real-world impact on critical missions. Join us and experience a company that invests in your success and the continued support to your professional growth.
    $70k-97k yearly est. Auto-Apply 7d ago

Learn more about data scientist jobs

How much does a data scientist earn in Gainesville, FL?

The average data scientist in Gainesville, FL earns between $53,000 and $102,000 annually. This compares to the national average data scientist range of $75,000 to $148,000.

Average data scientist salary in Gainesville, FL

$74,000
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