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AI data lab for training frontier models and evaluating AI agents.Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more.AI systems learn, reason, and perform.Our platform identifies and vets top talent through an AI recruiter

At least 3 years of experience as a data scientist, ML engineer, or applied research engineer, ideally supporting cybersecurity applications. Knowledge of data privacy and security regulations such as GDPR, CCPA, or HIPAA, and experience handling sensitive customer data accordingly. Data Scientist /

This is a senior individual contributor role with significant opportunity to influence our products, technical approaches, and data strategy, including how Quest Analytics uses machine learning, advanced analytics, and emerging AI technologies. As part of our hiring process, Quest Analytics may use

Experience supporting Finance, Accounting, Strategic Finance, FP&A, Investor Relations, or other finance-focused stakeholders. Drive data accuracy and completeness across month-end, quarter-end, and year-end close processes alongside Strategic Finance and Accounting teams. Data Science, Analytics, F

In this role, you will partner closely with Safety Product, Engineering, and Machine Learning teams along with fellow Safety data scientists, to shape strategy, product development, define and evolve safety metrics, and drive analytics for some of the most important decisions in the Safety org. Own

Partner with Growth Marketing leadership as the embedded analytical lead: attending marketing cadences, co-owning the analytics roadmap, and driving insight into action. You will own the executive narrative on marketing and product funnel performance, lead our experimentation and causal inference pr

Are you ready to dive into the world of big data and complex algorithms? We’re seeking a Senior Data Analyst/Scientist to become a key technical contributor on our Complex Algorithm Team. If you're passionate about solving complex business and technical problems, working with large-scale data, str

Design data-sourcing methodologies that evaluate, score, and combine heterogeneous inputs (public filings, web sources, licensed data) into accurate, defensible account signals. As a Data Scientist on the Link Key Accounts team, you'll build the models and methodologies that turn multi-source health

We are looking for a skilled Data Scientist who will help us analyze large amounts of raw information to find patterns and use them to optimize our performance.You will build data products to extract valuable business insights, analyze trends and help us make better decisions.We expect you to be hig

As a Senior Data Scientist at Shopmonkey, you will be a part of a globally distributed team working closely with your product and engineering counterparts.We are looking for a generalist who thrives across the full project lifecycle — from statistical modeling and data analysis to experimentation

hackajob is collaborating with Oracle to connect them with exceptional professionals for this role. Description At Oracle Cloud Infrastructure (OCI), we build the future of the cloud for enterprises as a diverse team of creators and inventors. We combine the speed and mindset of a start-up with the scale, security, and customer focus of a leading enterprise software company. OCI is seeking an exceptional Senior Principal Applied Scientist to develop AI-enabled platform capabilities for scientific and data-intensive enterprise use cases. This role will begin by addressing the needs of a large strategic customer and will evolve those learnings into scalable, reusable OCI platform capabilities for a broader customer base. You will work at the intersection of applied natural sciences, data science, and AI engineering. You will partner closely with product management, customers, applied scientists, and software engineers to define problems, develop and evaluate solutions, and bring high-quality capabilities into production. This is an ideal role for a scientist who is comfortable operating in a fast-paced environment, iterating quickly as customer needs evolve, and translating scientific domain knowledge into practical cloud and AI products. As a Senior Principal Applied Scientist, you will provide technical leadership for complex, high-impact initiatives. You will establish scientific and technical direction, lead research and applied-development efforts, influence architecture and product strategy, and mentor other scientists and engineers. Career Level — IC5 Responsibilities What You Will Bring You are an applied scientist with strong scientific judgment, practical technical depth, and a customer-oriented mindset. You can move comfortably between scientific inquiry and product delivery: understanding a customer’s immediate problem, designing rigorous experiments, working with engineers to build a solution, and shaping that solution into a platform capability that can serve many customers. You are energized by ambiguity, comfortable iterating quickly, and focused on delivering measurable value. Responsibilities Lead research, experimentation, and applied development for AI-enabled scientific-data and enterprise platform capabilities. Work directly with product managers and strategic customers to understand scientific workflows, data challenges, and evolving requirements. Rapidly prototype, evaluate, and refine solutions; make informed tradeoffs and pivot approach when evidence or customer needs warrant a change. Develop customer-focused capabilities with a deliberate path toward reusable, configurable OCI platform services. Apply expertise in natural sciences, such as molecular biology or related disciplines, to frame meaningful scientific problems, validate solution quality, and ensure domain relevance. Design and evaluate data-science, AI, and data-engineering approaches for structured, unstructured, multimodal, and scientific datasets. Develop and assess AI solutions, including retrieval-augmented generation, data enrichment, knowledge extraction, model evaluation, AI agents, and AI-assisted scientific workflows, where applicable. Define rigorous evaluation methods, benchmarks, quality metrics, and validation processes for models and end-to-end platform capabilities. Collaborate with software engineers to operationalize models, data pipelines, evaluation harnesses, and AI integrations into secure, scalable, production-grade services. Drive technical design reviews and influence product and platform decisions across science, engineering, and product organizations. Identify emerging methods, tools, datasets, and technologies that can improve OCI’s scientific AI and data capabilities. Mentor applied scientists and engineers; raise the bar for scientific rigor, experimentation, documentation, and technical execution. Communicate technical findings, risks, tradeoffs, and recommendations clearly to technical and non-technical stakeholders. Qualifications and Experience PhD in molecular biology, bioinformatics, computational biology, chemistry, physics, engineering, computer science, data science, or a related quantitative scientific discipline; or a Master’s degree with 8+ years of relevant industry or research experience. Demonstrated expertise in an applied natural-science domain, such as molecular biology, genomics, bioinformatics, life sciences, or a comparable scientific field. Significant hands-on experience applying data science, machine learning, AI integration, data engineering, or analytics to real-world scientific or enterprise problems. Proven ability to lead complex research-and-development initiatives from problem definition through implementation, evaluation, and delivery. Experience working in an iterative, customer-driven environment with changing requirements and short feedback cycles. Strong knowledge of experimental design, statistical analysis, data quality, model validation, and quantitative evaluation. Experience with Python and common scientific, data-science, or machine-learning libraries and tooling. Ability to work effectively across product management, engineering, science, and customer teams. Strong written and verbal communication skills, including the ability to explain complex scientific and technical concepts clearly. Demonstrated technical leadership and a commitment to mentoring others. Preferred Qualifications Experience applying generative AI, large language models, retrieval-augmented generation, AI agents, or knowledge systems to scientific or data-intensive workflows. Experience with scientific-data platforms, data pipelines, data governance, ontology/knowledge-graph systems, or cloud-based analytics. Experience integrating AI models into enterprise applications or production cloud services. Familiarity with model evaluation harnesses, benchmarking, responsible AI practices, and AI quality or safety assessment. Publications, patents, open-source contributions, or a record of innovation in relevant scientific, AI, or data-science fields. Experience partnering directly with large enterprise customers to define, validate, and deploy technical solutions. Experience with OCI or another major cloud platform. Qualifications Disclaimer: Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements. Range and benefit information provided in this posting are specific to the stated locations only US: Hiring Range in USD from: $158,300 to $355,400 per annum. May be eligible for bonus, equity, and compensation deferral. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion, 2. Short term disability and long term disability, 3. Life insurance and AD&D, 4. Supplemental life insurance (Employee/Spouse/Child), 5. Health care and dependent care Flexible Spending Accounts, 6. Pre-tax commuter and parking benefits, 7. 401(k) Savings and Investment Plan with company match, 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation., 9. 11 paid holidays, 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours., 11. Paid parental leave, 12. Adoption assistance, 13. Employee Stock Purchase Plan, 14. Financial planning and group legal, 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. Career Level - IC5

Doctorate in Data Science, Mathematics, Statistics, Computer Science, Machine Learning, Bioinformatics, Mathematical Finances, Information Systems, Operations Research, Economics, Physics, or related field AND 1 year of experience in data science, machine learning, data engineering, or related field

Work with Data Engineering and other technical teams to improve data quality, data availability, and the reliability of planning data. We are looking for a Senior Data Scientist to develop data-driven forecasting and analytics solutions for networking hardware and data center infrastructure plannin

Doctorate in Data Science, Mathematics, Statistics, Computer Science, Machine Learning, Bioinformatics, Mathematical Finances, Information Systems, Operations Research, Economics, Physics, or related field AND 3 years of experience in data science, machine learning, data engineering, or related fiel

Required skills for Java/full stack/software positions: Bachelors degree or masters degree in computer science, computer engineering, electrical engineering, information systems, IT Highly motivated, self-learner, and technically inquisitive Experience in programming language Java and understanding

We'd love to hear from people with:4+ years in data science, applied analytics, or a closely related fieldBA/BS in a quantitative field (or equivalent practical experience)Proficiency with Python or R and SQLPreferred qualifications:MS/PhD in a quantitative discipline (or equivalent advanced experie

Experience working in shared analytics/engineering environments (version control, documentation, reproducible workflows)Experience supporting model measurement/monitoring through dashboards and performance reportingAs a Starbucks partner, you (and your family) will have access to medical, dental, vi

Currently, we are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, data analysts/data scientists, and machine learning engineers.

Senior Data Scientist – Oil & Gas AnalyticsThe role is still open with the direct client and we can also consider non-local candidates who are open to relocation. Data Science, Advanced Analytics, or Machine Learning. Preferred Skills & TechnologiesMicrosoft Azure, Azure Data Factory, Azure Synaps

Essential Duties and Responsibilities (Min 5%)Data Science & Advanced Analytics: Develop, maintain, and improve predictive models using Python, R, and Databricks to enhance business insights. Data Engineering & Automation: Identify opportunities for automation and optimization within data pipelines,

Data Scientist OpportunityOur Data Science team sits at the heart of innovation, driving impactful solutions across customer experience, operational efficiency, and business growth.We are a diverse group of data scientists, machine learning engineers, and technical leaders working on high-impact pro

As a Lead Data Scientist on the Retail Testing Analytics team, you will lead the development of production-grade statistical frameworks, advanced analytics solutions, and optimization algorithms that power Starbucks' enterprise testing, experimentation and measurement capabilities. Now Brewing – L

The Project Scientist I works closely with project managers and senior staff to execute work plans, collect and analyze environmental data, document field observations, and support project deliverables. Project Scientist I to join our Environmental team in Nashville. This is an excellent opportunity

Product Testers are wanted to work from home nationwide in the US to fulfill upcoming contracts with national and international companies.We guarantee 15-25 hours per week with an hourly pay of between $25/hr.There is no payment required in order to apply or to work as an In-Home Usage Tester.You do

Salary: $114,400 - 135,200 per year.We need a strong background as a Business Analyst supporting complex, enterprise-scale technology initiatives.We require demonstrated experience gathering, analyzing, and documenting detailed business and technical requirements.We need experience coordinating acro

This role is for one of the Weekday's clients.We are seeking a seasoned Senior Project Manager to lead complex, cross-functional initiatives within a large enterprise environment.This role sits at the intersection of project execution, program coordination, and business operations.It requires strong

On the data/AI side: Relatively greenfield ELT+RAG setup that enables us to answer specialist user queries using millions of medical articles that we've compiled and processed ourselves.

The ideal candidate will possess deep expertise in data modeling, database design, cloud data platforms, data governance practices, and data integration tools. Strong background in data warehouse architecture, data modeling, and performance tuning. Manage the development and maintenance of data mode

Work collaboratively with cross-functional partners including software engineers, product managers, operations and data scientists, identify opportunities for business impact, understand, refine, and prioritize requirements for machine learning models, drive engineering decisions, and quantify impac

Platform team and data producers and in charge of the efficient data ingestion and provision of quick access to unmodeled data. Reporting to the manager of the Data Engineering Pipeline team, the Staff Data Engineer will serve as the technical leader for the architectural evolution of our core data

Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models. Experience with web crawlers, large-scale data processing workflows is a plus. These include frontend and backend engineer

Ideal candidates will have previous PM experience working with projects related to managing patient and/or health-related data migration, data governance, data cleansing, data export, APIs and enterprise data modernization efforts, with a thorough understanding of the compliance and regulatory requi

The Junior Analyst will review, analyze and evaluate processes, information, and data to determine the risks associated with transportation assets and identify and track mitigation status. If you would like more information about how your data is processed, please contact us. TSTC is seeking a full-

Collaborate with ML engineers, data analysts, and other stakeholders to understand data requirements and develop solutions to support data-driven decision-making. Write and maintain ETL jobs to extract, transform, and load data into our data warehouse. Develop and maintain data models and schema to

Founded in 2019, the Democratic Data Exchange (DDx) is a for-profit company that aims to expand the possibilities of what data can accomplish by ensuring the accessibility and availability of high-quality, trusted data across the ecosystem. Experience across multiple layers of the stack or domains o

Project Manager (Cold Form Structural Engineering) (REMOTE) - .Organize and manage structural design efforts for multiple simultaneous projects while maintaining project budgets.Manage and review structural engineering drawings for assigned projects/work assignments including the preparation of pla

You will ensure company-wide confidence in data quality and enable data-enabled differentiating products and services. Basic proficiency in data visualization platforms with demonstrated ability to build and maintain data dashboards. You will partner closely with data analysts, engineers and product

Project Manager (Construction).House Buyers of America is looking for a Field Manager who will be responsible for the project management of our home renovations.This person will oversee all aspects of 5-10 projects per month including bidding out jobs, permitting work and ensuring everything is comp

Establish standards for filing structures, naming conventions, metadata, version control, and quality assurance.

KWH Constructors, Inc is a privately owned, growing steel erector with a construction engineering subsidiary.KWH is committed to attracting, developing, and retaining the best talent in the industry.KWH offers a competitive salary and benefits, plus the opportunity to help KWH grow into an industry

We are seeking a Senior Data Engineer to join our team and help us build the next generation of data tools for our retail and commerce loyalty platform. Databases: Relational (Postgres) and NoSQL (DynamoDB) databases. In this role, you will work closely with our Application Development teams, Custom

Build pipelines that move data through classification boundaries, including ingestion, transformation, catalog registration, model/dataset packaging via Zarf, cross-domain transit, and eventual consistency across DDIL conditions. Production experience storing and querying large unstructured datasets

Experience with tools for large‑scale data migration (Databricks). Data-driven decision making is an increasingly important part of our company culture, and our Data Analytics team provides the tools to make it happen. We are looking for a data engineer who has a strong technical background and in

Experience working with data sourced from a variety of structured/unstructured storage mediums (SQL, NoSQL, cache, blob storage etc) and unifying disparate datasets. Deep understanding of data modeling, data quality practices, and cost-efficient storage architecture. In this role, you will be pivota

Collaborate with IT teams to ensure seamless integration of data sources and maintain data integrity. Familiarity with data visualization techniques and best practices. Work closely with stakeholders to understand their data needs and provide analytical support.