Data engineer jobs in Richmond, VA

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Data Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. Intelligent Foundations & Experiences (IFX) is a powerful collective of horizontal technology organizations that are driving Capital One's real-time intelligent future. Together with our partners in the Enterprise and across lines of business, we deliver broad-reaching technical solutions and advance state-of-the-art science to help every Capital One associate and our 100+M customers succeed. What You'll Do: Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance Basic Qualifications: Bachelor's Degree At least 3 years of experience in application development (Internship experience does not apply) At least 1 year of experience in big data technologies Preferred Qualifications: 5+ years of experience in application development including Python, SQL, Scala, or Java 2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) 2+ year experience working on real-time data and streaming applications 2+ years of experience with NoSQL implementation (Mongo, Cassandra) 2+ years of data warehousing experience (Redshift or Snowflake) 3+ years of experience with UNIX/Linux including basic commands and shell scripting 2+ years of experience with Agile engineering practices At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Plano, TX: $144,200 - $164,600 for Senior Data Engineer McLean, VA: $158,600 - $181,000 for Senior Data Engineer Richmond, VA: $144,200 - $164,600 for Senior Data Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

A DevOps Engineer with Python and AWS expertise is responsible for automating, deploying, and maintaining cloud-based applications while ensuring high availability, security, and performance. This role heavily focuses on AWS infrastructure, CI/CD automation, and Python scripting to streamline development-to-production workflows. The engineer works closely with application developers, cloud architects, and support teams to build scalable, reliable, and cost-efficient systems on AWS. Key Responsibilities (Python + AWS Focused) Design, deploy, and manage AWS cloud infrastructure using services such as EC2, S3, RDS, Lambda, VPC, IAM, CloudWatch, and ELB Develop and maintain Python scripts for automation, deployment, monitoring, and operational tasks Build and support CI/CD pipelines using Jenkins, GitHub Actions, GitLab CI, or AWS CodePipeline Implement Infrastructure as Code (IaC) using Terraform or AWS CloudFormation Containerize applications using Docker and manage deployments using Kubernetes (EKS) Monitor system health, logs, and performance using CloudWatch, Prometheus, Grafana, ELK Manage AWS security and access control (IAM roles, policies, secrets management) Perform production support, troubleshooting, incident resolution, and root cause analysis Optimize AWS cost, performance, and scalability Collaborate with development teams to improve release automation and reliability. EEO: Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of - Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.

Pay $65-75/hr Looking for richmond & Mclean, VA hybrid Application developer is responsible for designing, developing, testing, deployment and maintaining the services following the enterprise standards and guidelines with the thorough understanding of cloud environment and DevSecOps. Basic Qualifications - Bachelor Degree in Computer science or related field - At least 5 years of experience in software development including design, coding and testing - At least 2 years of experience in Java, Spring and SprintBoot frameworks - At least 3 years of experience in design and development of Restful APIs - At least 3 years of experience in using the DEVOPS tools for pipelines - At least 2 years of experience in Cloud environment using various compute, storage and network services Preferred Qualifications - Experience in Identity and Access Management related services using SAML, OIDC/OAUTH - Experience AWS Cloud environment for various services - Experience in Application/Data security with the understanding of OWASP top 10

Dominion Energy is seeking a mid-to-senior level Infrastructure-as-Code Programmer to join their data center automation project. The ideal candidate will have strong expertise in VMware vSphere, with additional experience in Terraform and Ansible. Key Responsibilities: • Design and implement infrastructure-as-code solutions using Terraform and Ansible for both on-prem and cloud environments. • Leverage VMware vSphere for managing and optimizing virtualized infrastructure, including provisioning and maintaining VMs, networking, and storage. • Collaborate with system integrators to ensure seamless integration of automation solutions. • Provide technical leadership and guidance, mentoring Dominion Energy's team on best practices and troubleshooting. • Adapt quickly to evolving project needs, ensuring smooth transitions and continuous improvement. Preferred Qualifications: • Extensive experience with VMware vSphere, including ESXi and vCenter. • Proficiency in Terraform and Ansible for automation and configuration management. • Strong problem-solving skills and the ability to mentor and advise less experienced team members. • Flexibility and adaptability in a rapidly changing environment.

Immediate need for a talented Devops Engineer. This is a 12+ Months Contract opportunity with long-term potential and is located in Richmond, VA (Onsite). Please review the job description below and contact me ASAP if you are interested. Job ID:25-95559 Pay Range: $55 - $65/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location). Key Responsibilities: Develop and maintain automation scripts and tools using Python to improve operational efficiency. Manage, monitor, and optimize infrastructure and services on AWS. Design, implement, and support CI/CD pipelines to enable reliable and efficient application deployments. Perform troubleshooting and root cause analysis for production issues across applications and infrastructure. Debug and resolve network-related issues, ensuring system availability and performance. Participate in 24×7 on-call rotation (every 3 weeks) to support production systems and handle critical incidents. Collaborate with development and operations teams to ensure smooth deployments and stable environments. Continuously improve system reliability, scalability, and operational processes. Key Requirements and Technology Experience: Must have skills: - Devops, Python, and AWS Python AWS CI/CD Pipelines Troubleshooting Network Exp (Debugging) On Call Rotation, 24 X 7 (Every 3 weeks) Our client is a leading Banking and Financial Industry and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration. Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here.

Experience Level: Senior/Principal (5+ years) Work Authorization/Clearance Requirements: NA We are seeking an experienced AI Engineer to join our team and lead the development of cutting-edge artificial intelligence solutions. In this role, you will architect end-to-end AI systems, from proof of concept through production deployment, ensuring they meet performance targets while adhering to ethical AI practices. You will work with cross-functional teams to translate business requirements into scalable AI solutions that deliver real impact. System Architecture & Development Design and implement end-to-end AI architectures including data pipelines, model training infrastructure, and high-performance inference systems. Build production-ready AI/ML models with Develop deep learning, NLP, computer vision, and reinforcement learning models. Apply model optimization techniques such as quantization, pruning, and knowledge distillation. Production Deployment Deploy AI solutions via REST/gRPC APIs, serverless environments, and edge platforms. Set up CI/CD pipelines, automated testing, and model versioning workflows. Implement A/B testing, observability dashboards, and continuous improvement loops. Ensure 99.9% uptime, SLAs, and reliability for production AI systems. MLOps & Infrastructure Build and operate MLOps infrastructure using MLflow, Kubeflow, or similar platforms. Manage model registries, feature stores, and experiment tracking systems. Optimize distributed training, GPU resource utilization, and scaling strategies. Configure monitoring, alerting, rollbacks, and production governance. Ethical AI & Governance Implement bias detection, fairness metrics, and robustness testing. Build explainability tools, documentation, and audit trails. Ensure compliance with data privacy and AI governance frameworks. Collaboration & Leadership Collaborate with data scientists, engineers, and product teams for integrated delivery. Mentor junior engineers and promote AI best practices. Communicate complex AI concepts to technical and business stakeholders. Lead architectural reviews and technical decision-making. Required Qualifications Education Bachelor's in Computer Science, Engineering, Mathematics, or related field (Master's preferred). Experience 5+ years building, deploying, and scaling production AI/ML systems. Proven experience delivering measurable business impact with AI solutions. Strong background in distributed data processing and large-scale systems. Technical Skills Programming: Python (expert), plus Java/C++/Scala exposure. ML Frameworks: TensorFlow, PyTorch, JAX, scikit-learn, XGBoost. Deployment: Docker, Kubernetes, TensorRT, ONNX, TFLite. Cloud: AWS SageMaker, Azure ML, or GCP Vertex AI. MLOps: MLflow, WandB, Neptune, etc. Data Engineering: Spark, Airflow, Kafka, SQL. Version Control: Git, GitHub/GitLab. Generative AI & LLM Skills Strong foundation in Deep Learning, NLP, and Generative AI. Hands-on with LLMs: OpenAI, HuggingFace, Anthropic, Cohere, Mistral, LLaMA. Experience with agentic workflows using LangGraph, AutoGen, CrewAI, or LangChain Agents. RAG experience using LangChain, LlamaIndex, and vector DBs (FAISS, Pinecone, Chroma, Weaviate). Understanding of embeddings, vector search, and semantic retrieval. Ability to automate workflows, analysis, and summarization using LLMs. Core Competencies Strong ML fundamentals and model performance tuning expertise. Solid software engineering and architectural design skills. Excellent problem-solving, communication, and documentation abilities.

TECHEAD is celebrating over thirty-five years of incredible heritage, talent, and accomplishments! To learn more about TECHEAD, visit us at TECHEAD.com or on Glassdoor. AI Engineer Direct - Hire 100% onsite Local Candidates Only Richmond, VA Start Date: November 2025 No C2C Candidates! ESSENTIAL FUNCTIONS 60% Development: Design, develop, and implement AI and machine learning models for a variety of business applications, including data analysis, predictive modeling, and automation. Collaborate with data scientists and software engineers to integrate AI solutions into existing systems and platforms. Ensure the scalability and performance of AI models by optimizing algorithms and utilizing cloud infrastructure. Document and communicate the results, performance, and limitations of AI models to non-technical stakeholders. Stay up to date with the latest AI research papers, industry trends, and tools to drive continuous improvement of AI processes. 20% Continuous Improvement: Conduct thorough research on the latest AI technologies, trends, and best practices to ensure the company stays at the forefront of AI advancements. Implement and maintain machine learning pipelines, from data preprocessing to model deployment. Troubleshoot and resolve issues related to AI models, ensuring they meet the desired accuracy and performance standards. 20% of Leadership and Relationships: Collaborate with business leaders and stakeholders to understand specific AI use cases and requirements, translating these into actionable solutions. Provide technical guidance and support to junior team members, helping them grow their skills in AI technologies. TOP REQUIREMENTS Strong communications Critical Thinking Extensive experience with Cloud Platforms Strong foundation in math and statistics MINIMUM REQUIREMENTS Preferred Certifications: Google Cloud Professional Data Engineer Microsoft Certified: Azure AI Engineer Associate TensorFlow Developer Certificate AWS Certified Machine Learning - Specialty Work Experience: Minimum of 3 years of experience in AI/ML development or similar roles. Proven experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-Learn. Strong background in programming languages like Python, Java, or C++. Experience with big data tools and technologies (e.g., Hadoop, Spark). Experience with automating AI model training, deployment pipelines, and optimization processes. Behavioral Competencies: Ability to analyze complex technical issues and create effective solutions. Ability to work cross-functionally with engineers, data scientists, and product teams. Strong verbal and written communication skills for conveying technical concepts to non-technical stakeholders. Open to new approaches and rapidly changing environments. Technical Competencies: Strong understanding of supervised and unsupervised learning techniques, deep learning, reinforcement learning, and NLP. Experience in data preprocessing, feature extraction, and transforming raw data into usable formats. Knowledge of cloud platforms (AWS, Azure, GCP) and experience in deploying AI models on cloud. Proficient in software development practices, version control (Git), and testing frameworks. Strong foundation in statistics, linear algebra, and probability, which are fundamental for AI algorithms. Required Education: Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field. Preferred Education: Master's or Ph.D. in Artificial Intelligence, Machine Learning, Data Science, or a related advanced field. TECHEAD's mission is to make our on-site associates successful by placing them in the right environment so they can grow and prosper. How we treat and respond to our clients and employees is a reflection of who we are and makes us stand out from the rest. Keeping our business focused on building and maintaining relationships with our employees and clients is the key to our success. We won't strive for anything less. TECHEAD provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws governing non-discrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. For more information on TECHEAD please visit **************** No second parties will be accepted.

** At Western Digital, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible. At our core, Western Digital is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we've been doing just that-our technology helped people put a man on the moon and capture the first-ever picture of a black hole. We offer an expansive portfolio of technologies, HDDs, and platforms for business, creative professionals, and consumers alike under our Western Digital , WD and WD_BLACK Professional brands. We are a key partner to some of the largest and highest-growth organizations in the world. From enabling systems to make cities safer and more connected, to powering the data centers behind many of the world's biggest companies and hyperscale cloud providers, to meeting the massive and ever-growing data storage needs of the AI era, Western Digital is fueling a brighter, smarter future. Today's exceptional challenges require your unique skills. Together, we can build the future of data storage. **Job Description** ESSENTIAL DUTIES AND RESPONSIBILITIES + **Business Partnership & Consulting** + Serve as the primary analytics partner to HR and business leaders, understanding their challenges and translating them into analytical solutions. + Provide insights and recommendations that inform decisions on talent strategy, workforce planning, retention, and employee experience. + Build strong relationships with HRBPs, COEs, and leadership teams to ensure alignment on priorities. + Experience advising, presenting to, and serving as a thought partner to senior executives. + **Analytics & Insights** + Develop dashboards, reports, and analyses on workforce metrics (e.g., attrition, DEI, engagement, recruiting, performance). + Translate complex data into clear, actionable insights with strong storytelling and visualization. + Deliver executive-ready materials that connect people data to business outcomes. + Partner cross-functionally with analytics and technical teams to ensure data accuracy, resolve quality issues, and maintain consistent, reliable insights. + **Advanced People Analytics** + Use statistical analysis, predictive modeling, and trend forecasting to identify workforce risks and opportunities. + Partner with HR Technology and Data teams to enhance data quality, governance, and reporting capabilities. + Lead initiatives to evolve people analytics from descriptive to predictive and prescriptive insights. + **Strategy & Enablement** + Guide stakeholders in building a data-driven culture within HR and across the business. + Drive adoption of self-service analytics platforms and democratize access to people insights. **Qualifications** REQUIRED + **Education & Experience** + Bachelor's or Master's in HR, Business, Data Analytics, Industrial/Organizational Psychology, Statistics, or a related field. + 6+ years of experience in People Analytics, HR Analytics, Workforce Planning, or related fields. SKILLS + **Technical Skills** + Strong expertise in data visualization tools (e.g., Tableau, Power BI, Workday People Analytics, Visier). + Advanced Excel, SQL, or Python/R for data analysis preferred. + Understanding of HR systems (Workday, SuccessFactors, etc.) and data structures. + **Business & Consulting Skills** + Exceptional ability to translate data into business insights and recommendations. + Strong stakeholder management, influencing, and storytelling skills. + Experience in partnering with senior leaders to drive data-informed decisions **Additional Information** Western Digital is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person's gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person's assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the "Know Your Rights: Workplace Discrimination is Illegal (************************************************************************************** " poster. Our pay transparency policy is available here (****************************************************** . Western Digital thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. Western Digital is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at jobs.accommodations@wdc.com to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Based on our experience, we anticipate that the application deadline will be **12/2/2025** (3 months from posting), although we reserve the right to close the application process sooner if we hire an applicant for this position before the application deadline. If we are not able to hire someone from this role before the application deadline, we will update this posting with a new anticipated application deadline. \#LI- VV1 **Compensation & Benefits Details** + An employee's pay position within the salary range may be based on several factors including but not limited to (1) relevant education; qualifications; certifications; and experience; (2) skills, ability, knowledge of the job; (3) performance, contribution and results; (4) geographic location; (5) shift; (6) internal and external equity; and (7) business and organizational needs. + The salary range is what we believe to be the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range and this range is only applicable for jobs to be performed in California, Colorado, New York or remote jobs that can be performed in California, Colorado and New York. This range may be modified in the future. + If your position is non-exempt, you are eligible for overtime pay pursuant to company policy and applicable laws. You may also be eligible for shift differential pay, depending on the shift to which you are assigned. + You will be eligible to be considered for bonuses under **either** Western Digital's Short Term Incentive Plan ("STI Plan") or the Sales Incentive Plan ("SIP") which provides incentive awards based on Company and individual performance, depending on your role and your performance. You may be eligible to participate in our annual Long-Term Incentive (LTI) program, which consists of restricted stock units (RSUs) or cash equivalents, pursuant to the terms of the LTI plan. Please note that not all roles are eligible to participate in the LTI program, and not all roles are eligible for equity under the LTI plan. RSU awards are also available to eligible new hires, subject to Western Digital's Standard Terms and Conditions for Restricted Stock Unit Awards. + We offer a comprehensive package of benefits including paid vacation time; paid sick leave; medical/dental/vision insurance; life, accident and disability insurance; tax-advantaged flexible spending and health savings accounts; employee assistance program; other voluntary benefit programs such as supplemental life and AD&D, legal plan, pet insurance, critical illness, accident and hospital indemnity; tuition reimbursement; transit; the Applause Program; employee stock purchase plan; and the Western Digital Savings 401(k) Plan. + **Note:** No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law. **Notice To Candidates:** Please be aware that Western Digital and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to Western Digital Ethics Helpline (******************************************************************** or email ****************** .

We are seeking experienced Data Scientists to join our team and drive impact across various product areas. As a Data Scientist, you will collaborate with cross-functional partners to identify and solve complex problems using data and analysis. Your role will involve shaping product development, quantifying new opportunities, and ensuring products bring value to users and the company. You will guide teams using data-driven insights, develop hypotheses, and employ rigorous analytical approaches to test them. You will tell data-driven stories, present clear insights, and build credibility with stakeholders. By joining our team, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond. **Required Skills:** Data Scientist (Technical Leadership) Responsibilities: 1. Work with complex data sets to solve challenging problems using analytical and statistical approaches 2. Apply technical expertise in quantitative analysis, experimentation, and data mining to develop product strategies 3. Identify and measure success through goal setting, forecasting, and monitoring key metrics 4. Partner with cross-functional teams to inform and execute product strategy and investment decisions 5. Build long-term vision and strategy for programs and products 6. Collaborate with executives to define and develop data platforms and instrumentation 7. Effectively communicate insights and recommendations to stakeholders 8. Define success metrics, forecast changes, and set team goals 9. Support developing roadmaps and coordinate analytics efforts across teams **Minimum Qualifications:** Minimum Qualifications: 10. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 11. Mathematics, Statistics, Operations Research) 5+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab) 12. 8+ years of work experience leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development 13. Experience working effectively with and leading complex analytics projects across multiple stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics and Finance 14. Experience with predictive modeling, machine learning, and experimentation/causal inference methods 15. Experience communicating complex technical topics in a clear, precise, and actionable manner **Preferred Qualifications:** Preferred Qualifications: 16. 10+ years of experience communicating the results of analyses to leadership teams to influence the strategy 17. Masters or Ph.D. Degree in a quantitative field 18. Bachelor's Degree in an analytical or scientific field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research) 19. 10+ years of experience doing complex quantitative analysis in product analytics **Public Compensation:** $206,000/year to $281,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Datavant is a data platform company and the world's leader in health data exchange. Our vision is that every healthcare decision is powered by the right data, at the right time, in the right format. Our platform is powered by the largest, most diverse health data network in the U.S., enabling data to be secure, accessible and usable to inform better health decisions. Datavant is trusted by the world's leading life sciences companies, government agencies, and those who deliver and pay for care. By joining Datavant today, you're stepping onto a high-performing, values-driven team. Together, we're rising to the challenge of tackling some of healthcare's most complex problems with technology-forward solutions. Datavanters bring a diversity of professional, educational and life experiences to realize our bold vision for healthcare. We are looking for a motivated Data Scientist to help Datavant revolutionize the healthcare industry with AI. This is a critical role where the right candidate will have the ability to work on a wide range of problems in the healthcare industry with an unparalleled amount of data. You'll join a team focused on deep medical document understanding, extracting meaning, intent, and structure from unstructured medical and administrative records. Our mission is to build intelligent systems that can reliably interpret complex, messy, and high-stakes healthcare documentation at scale. This role is a unique blend of applied machine learning, NLP, and product thinking. You'll collaborate closely with cross-functional teams to: + Design and develop models to extract entities, detect intents, and understand document structure + Tackle challenges like long-context reasoning, layout-aware NLP, and ambiguous inputs + Evaluate model performance where ground truth is partial, uncertain, or evolving + Shape the roadmap and success metrics for replacing legacy document processing systems with smarter, scalable solutions We operate in a high-trust, high-ownership environment where experimentation and shipping value quickly are key. If you're excited by building systems that make healthcare data more usable, accurate, and safe, please reach out. **Qualifications** + 3+ years of experience with data science and machine learning in an industry setting, particularly in designing and building NLP models. + Proficiency with Python + Experience with the latest in language models (transformers, LLMs, etc.) + Proficiency with standard data analysis toolkits such as SQL, Numpy, Pandas, etc. + Proficiency with deep learning frameworks like PyTorch (preferred) or TensorFlow + Industry experience shepherding ML/AI projects from ideation to delivery + Demonstrated ability to influence company KPIs with AI + Demonstrated ability to navigate ambiguity **Bonus Experience** + Experience with document layout analysis (using vision, NLP, or both). + Experience with Spark/PySpark + Experience with Databricks + Experience in the healthcare industry **Responsibilities** + Play a key role in the success of our products by developing models for document understanding tasks. + Perform error analysis, data cleaning, and other related tasks to improve models. + Collaborate with your team by making recommendations for the development roadmap of a capability. + Work with other data scientists and engineers to optimize machine learning models and insert them into end-to-end pipelines. + Understand product use-cases and define key performance metrics for models according to business requirements. + Set up systems for long-term improvement of models and data quality (e.g. active learning, continuous learning systems, etc.). **After 3 Months, You Will...** + Have a strong grasp of technologies upon which our platform is built. + Be fully integrated into ongoing model development efforts with your team. **After 1 Year, You Will...** + Be independent in reading literature and doing research to develop models for new and existing products. + Have ownership over models internally, communicating with product managers, customer success managers, and engineers to make the model and the encompassing product succeed. + Be a subject matter expert on Datavant's models and a source from which other teams can seek information and recommendations. \#LI-BC1 We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services. The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. The estimated total cash compensation range for this role is: $136,000-$170,000 USD To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here (************************************************** . Know Your Rights (*********************************************************************** , explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. 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About Us: Endurance IT Services provides Managed IT Services, Cybersecurity Solutions, and IT Consulting to help businesses stay secure and productive. We also offer IT Staffing for Direct -Hire, Contract -to -Hire, and Contract roles, plus internal full -time positions. Note: Some opportunities may not be exclusive and can change as we work with clients but our goal is always to help candidates find the right job. We are hiring on behalf of our client for a strategic technology consultant to lead a four -month engagement focused on evaluating and optimizing their sales forecasting infrastructure. This project is critical to shaping the client's future forecasting capabilities and delivering actionable insights for executive decision -making. Responsibilities Conduct a comprehensive analysis of two forecasting systems: Adaptive Workday (commercial solution) In -house Python -based system Validate forecasting accuracy and benchmark performance. Perform code -level audits of Python scripts for integrity and efficiency. Assess scalability, customization potential, and long -term viability. Deliver an executive -ready report with ROI analysis and strategic recommendations. Qualifications: Strong expertise in data science, forecasting models, and Python programming. Experience with system evaluation, performance benchmarking, and optimization. Ability to conduct technical audits and provide strategic recommendations. Excellent communication skills for delivering executive -level reports. Preferred Qualifications Familiarity with Adaptive Workday or similar forecasting tools. Background in sales analytics, business intelligence, or financial modeling. Experience in ROI analysis and presenting findings to senior leadership. Knowledge of cloud -based forecasting solutions and scalability best practices.

Key Cyber Solutions (KCS) is a leading enterprise IT consulting firm that specializes in Secure Agile Software Development, Cybersecurity, Enterprise IT and Data Management services for both government and healthcare organizations. Our approach to business is both aggressive and agile. We value a strong work-ethic, good judgement, organizational skills and, most importantly, an entrepreneurial spirit. At KCS we treat our employees like family and, in turn, they pay that respect forward to every one of our clients. Job Description As a Data Scientist at Key Cyber Solutions, your primary responsibility will be to analyze and interpret complex data sets to uncover insights, trends, and opportunities that can guide business strategies and decisions. Responsibilities: Data Analysis and Interpretation: Analyze large and complex data sets, identifying patterns and correlations that offer meaningful insights. Model Development: Develop predictive models and algorithms to support various business functions and initiatives. Collaboration: Collaborate with cross-functional teams, including product development, marketing, and operations, to ensure alignment of data-driven projects. Visualization: Create clear and engaging visualizations to represent data insights for technical and non-technical stakeholders. Continuous Learning: Stay abreast of the latest industry trends, technologies, and methodologies in data science. Reporting and Communication: Clearly communicate findings, insights, and recommendations to stakeholders at all levels of the organization. Qualifications Qualifications: Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field. 3+ years of experience in data analysis, machine learning, or related fields. Proficiency in programming languages such as Python or R. Strong understanding of statistical analysis, data mining, and machine learning algorithms. Experience with data visualization tools and libraries. Additional Information THIS POSITION REQUIRES AN ACTIVE TS/SCI W/POLYGRAPH. As a HUBZone certified business, we STRONGLY encourage candidates who reside in a HUBZone to apply. To confirm if your home address is within a HUBZone, please visit ********************************* ***Please note in your cover letter if you reside within a designated HUBzone location. **** All your information will be kept confidential according to EEO guidelines.

This Data Scientist position with the Professional Services Procurement Office will be an important member of the VDOT PSPO team. In this role, the Data Scientist collects and analyzes statistics and information from multiple sources to spot trends and to gain maximum insight that can give the company a competitive advantage and communicates informed conclusions and recommendations across an organization's leadership structure. Strategizes and identifies unique opportunities to locate and collect new data, explores and mines data from many angles, and determines what it means. Communicates data findings to both business and IT leaders to influence how an organization approaches and meets business challenges of an evolving customer base and changing marketplace, using strong business acumen. Finds and recommends new uses for existing data sources; designs, modifies, and builds new data processes; and builds large, complex data sets. In addition to standard knowledge, skills and abilities for a Data Scientist, the successful candidate for this role will have experience and knowledge of procurement, preferably professional services procurement and the data related to this business need as well as procurement related reporting systems and technology. Skills Specific to this Position: Provide expertise to agency on data-driven decision making and strategy. Provide expertise in specific areas, such as machine learning, predictive analytics using data and systems related to public procurement. Leading research projects, for advanced date mining, developing algorithms, or building data pipelines related to public procurement. Tools and Technologies: Programming languages: SQL, Python, PySpark, Shell Scripting, PowerShell Data visualization: Tableau Desktop & Server, Power BI, Looker, Jupyter Notebooks Other frameworks: git, GitHub, SSH Secure Shell, Putty, XML, JSON, SQL Workbench, Big data platforms: Apache Spark, Spark SQL, Hive, HDFS, MapReduce, Azure Data Lake Cloud platforms: Amazon Web Services (AWS), EC2, S3, RDS, VPC, EMR, SNS, IAM, Redshift, CloudWatch, SQS, Route53, CloudFront, Athena, Kinesis, QuickSight, Lambda. Statistical tools: Snowflake, Redshift, Oracle, MySQL, Microsoft SQL Server, PostgreSQL

This Data Scientist position with the Professional Services Procurement Office will be an important member of the VDOT PSPO team. In this role, the Data Scientist collects and analyzes statistics and information from multiple sources to spot trends and to gain maximum insight that can give the company a competitive advantage and communicates informed conclusions and recommendations across an organization's leadership structure. Strategizes and identifies unique opportunities to locate and collect new data, explores and mines data from many angles, and determines what it means. Communicates data findings to both business and IT leaders to influence how an organization approaches and meets business challenges of an evolving customer base and changing marketplace, using strong business acumen. Finds and recommends new uses for existing data sources; designs, modifies, and builds new data processes; and builds large, complex data sets. In addition to standard knowledge, skills and abilities for a Data Scientist, the successful candidate for this role will have experience and knowledge of procurement, preferably professional services procurement and the data related to this business need as well as procurement related reporting systems and technology. Skills Specific to this Position: Provide expertise to agency on data -driven decision making and strategy. Provide expertise in specific areas, such as machine learning, predictive analytics using data and systems related to public procurement. Leading research projects, for advanced date mining, developing algorithms, or building data pipelines related to public procurement. Tools and Technologies: Programming languages: SQL, Python, PySpark, Shell Scripting, PowerShell Data visualization: Tableau Desktop & Server, Power BI, Looker, Jupyter Notebooks Other frameworks: git, GitHub, SSH Secure Shell, Putty, XML, JSON, SQL Workbench Big data platforms: Apache Spark, Spark SQL, Hive, HDFS, MapReduce, Azure Data Lake Cloud platforms: Amazon Web Services (AWS), EC2, S3, RDS, VPC, EMR, SNS, IAM, Redshift, CloudWatch, SQS, Route53, CloudFront, Athena, Kinesis, QuickSight, Lambda. Statistical tools: Snowflake, Redshift, Oracle, MySQL, Microsoft SQL Server, PostgreSQL

Role : Data Scientist 4 Interview Mode: Both Web Cam and In Person Interview The Data Scientist (Business Intelligence/Data Reporting Analyst) ON SITE: 1 -2 days on site each week as needed ABOUT THE ROLE Primary responsibilities include collect the business requirements by working with project team, conduct complex data mining analysis, and develop complex strategic reports and dashboards. Seeking one Data Scientist (Business Intelligence/Data Reporting Analyst) who will be responsible for working closely with Customer Engagement project teams to provide the customer with business analysis expertise, report creation and dashboard design, in a tactical capacity, evaluating internal and external client requirements and implementing effective solutions in a timely manner. The selected candidate will gather, analyze, and document functional/reporting requirements (i.e., user stories using interviews, documentation analysis, site visits, use cases, scenarios) and design, assemble and deliver reports and Monthly Operations Review Scorecard dashboard for DBHDS Business Report Process Management platform in a manner consistent with client expectations. Job Requirements: • Ability to consolidate, interpret and present data in reports/dashboards for Executive, Team Leads and Individual End Users focused on Acquisition and Financial Information. • Ability to produce reports and dashboard using Microsoft Power BI and other data reporting tools. • Ability to define and document customer business processes and report/dashboard content needs including business process diagrams, data maps, and data modeling. • Ability to Consult with project team members and customer stakeholders to identify, define, and document business needs and objectives, current reporting capabilities, and challenges related to the business functions. • Collaborate with the DBHDS project managers, technical analysts, and customer end-users in the analysis, design, configuration, testing and maintenance of the Business Intelligence module of DBHDS Business Process Management Platform to ensure desired operational performance and capabilities. • Track and document changes for functional and business specifications; write detailed universally understood procedures for testing uses cases, knowledge capture and training purposes. • Achieve proficiency in all major Reporting/Analytic products, including the software suite: through internal staffing training, self-guided tutorials, and daily exposure to individual product feature sets. • Innovative Solutions to Support Complex Business Processes, focused on very complex data mining analysis, coordinating the activities of a project team, and developing complex strategic report applications • Provide support for a variety of meetings, demonstrations, and program activities related to Business Intelligence. • Test reports/dashboard projects in accordance with business and functional design following best practices for quality assurance. • Record and track defects uncovered during test execution and assist in defect resolution troubleshooting and researching). Comprehension of change management processes. Other duties as assigned. Required Experience: • 5+ years prior business data analyst experience. • Ability to work in a team-oriented environment for a matrixed organization. • Strong knowledge and experience with data reporting tools including Microsoft Power BI, SSRS, etc. • Knowledge of SQL Databases like MS SQL Server and complex SQL Query Creation • Strong knowledge of productivity tools such as Microsoft Office (Word, Excel, Outlook). • Experience with Agile and SCRUM processes and methodologies. Familiarity with Government Processes, including Healthcare. • Knowledge of software development life cycle (SDLC) practices, principles, and techniques as they apply to Agile development process. • Excellent verbal and written communication skills, with proven ability to listen and relate with the customer. • Ability to effectively collaborate with internal and external customers. • Demonstrated analytical and problem-solving capabilities. • Proven ability to communicate technical details to a non-technical audience. • Excellent organizational and time management skills. Strong team player that is willing to always help other team members. Desired Experience: • Knowledge of the Healthcare Lifecycle or Behavioral Health a BIG Plus and those with this exp will be considered first but ONLY if this exp is clearly reflected on the resume. • Ability to develop training materials and conduct end-user training sessions.

Distinguished Data Engineers are individual contributors who strive to be diverse in thought so we visualize the problem space. At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. Distinguished Engineers will significantly impact our trajectory and devise clear roadmaps to deliver next generation technology solutions. About the Team: Capital One is seeking a Distinguished Data Engineer, to work in our Credit Card Technology Data Engineering Team and build the future of financial services. We are a fast-paced, mission-driven group responsible for managing and leveraging petabytes of sensitive, real-time and batch data that powers everything from fraud detection models and personalized reward systems to regulatory compliance reporting. As a leader in Data Engineering, you won't just move data; you'll architect high-availability that directly influence millions of customer experiences and secure billions in transactions daily. You'll own critical data domains end-to-end, working cross-functionally with ML Scientists, Product Managers, and Business Analysts teams etc to solve complex, high-stakes problems with cutting-edge cloud technologies (like Snowflake, Kafka, and AWS). If you thrive on technical challenges, demand data integrity, and want your work to have a clear, measurable impact on the bank's core profitability and security, this is your team. This leader must have the ability to attract and recruit the industry's best talent, and simultaneously have the technical chops to ensure that we build compelling, customer-oriented solutions in an iterative methodology. Success in the role requires an innovative mind, a proven track record of delivering next generation software and data products, rigorous analytical skills, and a passion for delivering customer value through automation, machine learning and predictive analytics. Our Distinguished Engineers Are: Deep technical experts and thought leaders that help accelerate adoption of the very best engineering practices, while maintaining knowledge on industry innovations, trends and practices Visionaries, collaborating on Capital One's toughest issues, to deliver on business needs that directly impact the lives of our customers and associates Role models and mentors, helping to coach and strengthen the technical expertise and know-how of our engineering and product community Evangelists, both internally and externally, helping to elevate the Distinguished Engineering community and establish themselves as a go-to resource on given technologies and technology-enabled capabilities Responsibilities: Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in Strike the right balance between lending expertise and providing an inclusive environment where others' ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team Promote a culture of engineering excellence, using opportunities to reuse and innersource solutions where possible Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One's Tech talent Basic Qualifications: Bachelor's Degree At least 7 years of experience in data engineering At least 3 years of experience in data architecture At least 2 years of experience building applications in AWS Preferred Qualifications: Masters' Degree 9+ years of experience in data engineering 3+ years of data modeling experience 2+ years of experience with ontology standards for defining a domain 2+ years of experience using Python, SQL or Scala 1+ year of experience deploying machine learning models 3+ years of experience implementing big data processing solutions on AWS Capital One will consider sponsoring a new qualified applicant for employment authorization for this position The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Chicago, IL: $239,900 - $273,800 for Distinguished Data Engineer McLean, VA: $263,900 - $301,200 for Distinguished Data Engineer New York, NY: $287,800 - $328,500 for Distinguished Data Engineer Richmond, VA: $239,900 - $273,800 for Distinguished Data Engineer San Francisco, CA: $287,800 - $328,500 for Distinguished Data Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Microsoft Power Platform Developer Hybrid (Richmond, VA - 2-3 days/week onsite) - additional flexibility could be given depending on the candidate 12-month Contract-to-Hire We are seeking an experienced and hands-on Lead Power Platform Developer with expertise in SharePoint Online, Microsoft 365 services, and the full suite of Microsoft Power Platform tools. The successful candidate will be responsible for designing, implementing, and migrating solutions using Power Platform, including Power Apps, Power BI, and Power Automate, following best practices and methodologies. This position requires deep technical expertise, a proactive approach to problem-solving, and the ability to mentor junior team members. Key Responsibilities Power Platform Development: Create and configure Power Apps (Canvas and Model-driven Apps) and Power Automate flows to meet business needs, utilizing Dataverse and other Microsoft 365 services. Business Process Automation: Configure and implement business process automation solutions tailored to organizational requirements. Requirements Gathering: Lead functionality discovery workshops and requirements gathering sessions with business stakeholders. Programming and Development: Develop custom solutions using .NET, SQL, Azure, and C#, and ensure seamless integration with multiple data sources using APIs or REST services. Solution Design: Functionally map business needs to Power Platform solutions, developing applications that address identified use cases. Standards and Best Practices: Participate in code reviews, enforce standards, and ensure best practices are followed in all development activities. Troubleshooting and Support: Troubleshoot Power Platform issues, document solutions, and collaborate with system administrators and other IT resources to implement fixes. Documentation and Mockups: Create comprehensive design solutions, technical documentation, and mockups/prototypes to support common use cases. Governance and Platform Usage: Define and refine governance approaches for Power Platform's use, adhering to best practices in business solution implementations. DevOps in Power Platform (Preferred): Experience with DevOps in Power Platform, including Power Pipelines and ALM Accelerator, is preferred. Agile Participation: Actively participate in the Agile SDLC to deliver iterative, high-quality solutions. Required Qualifications 8+ years of experience as a Senior Developer / Technical Lead. 5+ years of experience with SharePoint Online and Microsoft 365 services. 3+ years of experience designing, implementing, and migrating solutions utilizing Power Platform (Power Apps, Power BI, Power Automate). 4+ years of experience with PowerShell scripting. 5+ years of custom development experience using .NET, JavaScript, and C#. 3+ years of experience using standard and premium connectors with PowerApps and Power Automate. 3+ years of experience with MS Access and VBA for redesigning solutions in Power Apps. Experience developing Azure Logic Apps and Functions to support Power Automate. Experience with DevOps in Power Platform environments (desired). Experience mentoring/coaching junior level individuals (desired). Additional Requirements Certification: PowerApps Professional or PowerApps Developer certification is preferred. Communication Skills: Excellent verbal and written communication skills to facilitate effective discussions with both technical and non-technical stakeholders. Problem-Solving: Strong problem-solving abilities, with a proactive approach to technical challenges.

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. **Required Skills:** Data Scientist, Product Analytics Responsibilities: 1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches 2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses 3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends 4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations 5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions **Minimum Qualifications:** Minimum Qualifications: 6. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 7. A minimum of 6 years of work experience in analytics (minimum of 4 years with a Ph.D.) 8. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience 9. Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) **Preferred Qualifications:** Preferred Qualifications: 10. Master's or Ph.D. Degree in a quantitative field **Public Compensation:** $173,000/year to $242,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Job Description About Us: Endurance IT Services provides Managed IT Services, Cybersecurity Solutions, and IT Consulting to help businesses stay secure and productive. We also offer IT Staffing for Direct-Hire, Contract-to-Hire, and Contract roles, plus internal full-time positions. Note: Some opportunities may not be exclusive and can change as we work with clients but our goal is always to help candidates find the right job. We are hiring on behalf of our client for a strategic technology consultant to lead a four-month engagement focused on evaluating and optimizing their sales forecasting infrastructure. This project is critical to shaping the client's future forecasting capabilities and delivering actionable insights for executive decision-making. Responsibilities Conduct a comprehensive analysis of two forecasting systems: Adaptive Workday (commercial solution) In-house Python-based system Validate forecasting accuracy and benchmark performance. Perform code-level audits of Python scripts for integrity and efficiency. Assess scalability, customization potential, and long-term viability. Deliver an executive-ready report with ROI analysis and strategic recommendations. Qualifications: Strong expertise in data science, forecasting models, and Python programming. Experience with system evaluation, performance benchmarking, and optimization. Ability to conduct technical audits and provide strategic recommendations. Excellent communication skills for delivering executive-level reports. Preferred Qualifications Familiarity with Adaptive Workday or similar forecasting tools. Background in sales analytics, business intelligence, or financial modeling. Experience in ROI analysis and presenting findings to senior leadership. Knowledge of cloud-based forecasting solutions and scalability best practices.