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Job Description Project Overview HireScale is partnering with an innovative organization to reimagine how talent systems are built, operated, and scaled in an AI-enabled world. This is a 6-month full-service Talent Engineer engagement focused on designing and deploying intelligent hiring infrastructure that transforms how teams source, evaluate, and engage talent. The work is centered on building modern, AI-powered talent systems—not incremental recruiting improvements, but 0→1 transformation of the hiring stack. You will operate at the intersection of recruiting strategy, data systems, automation, and applied AI to create workflows that meaningfully improve speed, quality, and decision-making in talent acquisition. This engagement is built around shipping real systems, not strategy decks. You’ll use AI-assisted development and automation tools as force multipliers to rapidly design, test, and deploy scalable recruiting infrastructure—while maintaining strong discipline around data integrity, system design, and long-term maintainability. This is a hands-on builder role across the full lifecycle: • Translating hiring challenges into structured, systemized solutions, • Designing and deploying AI-enabled sourcing and screening workflows, • Building scalable talent pipelines and automation layers across ATS, CRM, and sourcing tools, • Turning fragmented recruiting processes into cohesive, data-driven systems, • Establishing infrastructure that can evolve from experimentation → production-grade talent systems The goal is not just to improve hiring—it’s to rebuild how hiring works, using AI and automation as core infrastructure. Scope of Work & Core Capabilities • Design and ship AI-enabled talent systems aligned to hiring and workforce goals, • Build and optimize end-to-end recruiting workflows across sourcing, screening, scheduling, and evaluation, • Translate ambiguous talent challenges into structured, scalable systems and automations, • Develop integrations across ATS, CRM, sourcing platforms, and internal HR systems, • Leverage AI and automation to improve recruiter productivity and candidate experience, • Apply strong systems thinking to ensure scalability, reliability, and maintainability, • Work across data layers to improve talent intelligence, reporting, and decision-making, • Utilize modern AI and automation tooling (LLMs, workflow automation, and orchestration platforms), • Develop across Python, JavaScript/TypeScript, and SQL-based environments where needed, • Work with APIs and platforms such as ATS systems, HRIS tools, and recruiting tech stacks, • Design and manage data flows supporting sourcing intelligence and candidate pipelines, • Collaborate closely with talent and business stakeholders to translate needs into systems, • Document architecture, workflows, and operational playbooks for long-term scalability and handoff Engagement Brief This 6-month consulting engagement is focused on building production-ready, AI-enabled talent infrastructure that materially improves how organizations hire and scale teams. Success is defined by shipped systems, measurable improvements in hiring performance, and sustainable internal capability—not advisory output. • Target Outcomes: Production-ready talent systems and AI-enabled recruiting workflows that improve sourcing efficiency, candidate quality, and time-to-hire. Deliver scalable hiring infrastructure, automation of repetitive recruiting tasks, and data-driven decision systems that elevate hiring quality and consistency. Ensure all systems are maintainable and fully operational for internal talent teams post-engagement., • Duration: 6 months (full service engagement), • Commitment: Full-service or fractional engagement, • Budget: Flexible based on scope, complexity, and proposal, • Start Date: ASAP, • Portfolio Requirements:, • 2–3 relevant projects in talent systems, recruiting technology, automation, HR tech, or AI-enabled workflow design, • Demonstrated end-to-end ownership (problem → system design → implementation → measurable outcome), • Clear evidence of impact (reduced time-to-hire, improved quality of hire, automation gains, or adoption metrics), • Supporting materials such as system diagrams, GitHub repos, case studies, or technical documentation preferred About HireScale HireScale is redefining how people and organizations grow and work together. We connect companies with top-rated independent consultants to build agile, highly skilled and resilient teams; while also empowering talent to shape their own paths and align meaningful work with personal freedom and purpose. Our goal is a future where opportunity is open, work is self-directed, and everyone thrives.

Job DescriptionFrom the beginning, our goal was to establish an advisory firm that stands apart from the rest – one that is grounded in our Core Values and dedicated to creating a positive experience not just for our clients, but for our people too. We firmly believe in the strength of collaboration, enthusiasm, generosity, and perseverance as the driving forces behind our success. With advisory solutions spanning accounting and risk, technology-enabled transformation, and transactions, we partner with our clients to solve today’s challenges and deliver present and future value. Our commitment to our people has earned us numerous awards including Inc5000's Fastest Growing Companies and Glassdoor's Best Places to Work. Explore what our employees have to say about our unique culture by clicking here. By joining our rapidly growing Accounting Advisory practice, you will serve as a trusted partner to our clientsacross a broad range of industries, company stages, and sizes, including early-stage, emerging growth, middle-market, and large, complex organizations. Our work spans both public and private companies, with significant exposure to Private Equity–backed portfolio companies. You’ll bring your first-hand experience, unique perspectives, and functional knowledge to deliver tailored integrated solutions that help our clients solve today's challenges and set the foundation for future success. As an Associate Director at CrossCountry Consulting, you will be responsible for a mix of client delivery, leading teams and developing junior team members, and contribute to business development initiatives.What You'll Do: • General Accounting Close Support, • Aid clients in developing a streamlined monthly close process, • Assist with cash-to-accrual conversions and the creation of supporting schedules, • Validate the existence of assets and prepare associated roll forwards, • Prepare balance sheet reconciliations (intercompany, inventory, cash, prepaids, etc.), • Support various aspects of accounting compliance, including tax forms, sales tax exemptions, 1099s, etc., while also contributing to the preparation of financial statements and the development of internal controls and policies, • Help prepare budgets or forecasts and develop reports for management or regulatory bodies, • Guide the implementation of cloud-based finance and accounting systems, • Manage the preparation of journal entries, invoices, and reconciliation of accounts during monthly or annual closings, • Guide companies through efficient external audit processes, • Financial Reporting Support, • Support SEC filing, design of reporting processes, restatement assistance, and traditional 10-K, 10-Q, and 8-K filings, • Improve financial planning and analysis (budgeting, forecasting, data analysis), • Review of monthly internal financial reporting packs, • Review of monthly regulatory reporting, • Operations Support, • Liaise with business units outside of accounting to integrate business operations, • Advise clients on leveraging AI and automation tools to streamline close processes, improve forecasting, and enhance data driven decision making, • Partner with IT teams to integrate financial systems during acquisitions, • Comfort with AI: Demonstrated ability to responsibly explore and adopt firm-approved AI tools to enhance productivity and innovation.What You'll Bring:, • 8+ years of experience spanning advisory and controllership roles for commercial or PE-backed portfolio companies, supported by a strong foundation in professional services (public accounting, advisory firm, or management consulting firm) and 2+ years of hands-on Controllership experience in emerging growth middle market organizations and/or PE-backed portfolio companies (Software SAAS or Healthcare, or a broad B2B industry exposure preferred), • Hands-on experience to various ERP systems and tools such as: NetSuite, Sage, MS Dynamics, QuickBooks, Workiva, DFIN, Tableau, PowerBI, Alteryx, Snowflake, SQL, Python, • Ability to leverage AI and automation to optimize accounting processes, enhance reporting accuracy, and drive operational efficiency, • Proven ability to build strong client relationships, • Demonstrated success in mentoring and leading teams, helping project teams resolve multi-faceted issues, • Contribute to developing and implementing firm-approved, AI-enabled solutions for clients, in accordance with company policies on data protection, intellectual property, and professional standards., • Stay informed about emerging AI tools and techniques and collaborate with firm leadership to identify compliant opportunities to enhance client solutions and internal processes.Qualifications:, • Bachelor’s degree in in Accounting, Finance, or related field, • CPA or CA certification preferred Travel:, • Willingness to travel domestically up to 40% (With that said, our approach to travel is a thoughtful, meaningful one and we do our best to avoid scheduling back-to-back extended travel projects. Even so, travel will vary project-to-project based on client preferences and may sometimes come in “bursts.")

This fully remote position requires over 5 years of experience in data engineering, proficiency in Python and SQL, and familiarity with cloud-based data storage solutions like AWS and GCP. A leading global media company in New York is seeking a Senior Data Engineer to lead the design and implementat

A digital consultancy is seeking a Senior Data Analyst to lead analytical initiatives and drive data-informed strategies. This role requires a minimum of 4 years in analytics, strong SQL skills, and proficiency in data analysis tools like Python or R. You will partner with stakeholders to deliver ac

A financial firm is looking for a Python Engineer to join their team in Jersey City, NJ.Compensation: $150-200K Within this role, you will be responsible for the design, development, testing, support, and maintenance of software applications.The primary technology will be Python, SQL, C#/.Net, middl

A financial services company is seeking a Market Data Analyst to handle exchange compliance, reporting, and user verification. The ideal candidate holds a Bachelor's degree in finance or data science and possesses strong Excel skills, with familiarity in SQL, Python, or VBA as a plus.

A digital marketing firm is seeking a Data Analytics Intern in Secaucus, NJ. This internship provides a hands-on opportunity to gain experience in data collection, cleaning, and analysis while leveraging analytics tools like Excel, SQL, Python, and R.

Join one of the fasted growing AI/ML services companies! This Jobot Job is hosted by: Adam Bennett Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $140,000 - $190,000 per year A bit about us: We are a data and AI services company that has been growing tremendously over the last 10 years. We anticipate growing 40% yoy over the next 5 years and are looking to bring on solutions architects who have worked with enterprise customers to build out applications and utilize data in a more efficient way. Why join us? Join us for the growth and opportunity to join a best-in-class organization. As we grow there will be opportunities to work with the biggest commercial companies to support their adoption and growth into AI/ ML applications. Job Details This job is 100% remote but will require travel to customer sites throughout the US. We are looking for someone who has the following: At least 5 years as a customer-facing solutions architect. Experience with enterprise customers and supporting product adoption and services expansion. Must be able to write Python or Scala. With your experience, we expect mastery over SQL and the ability to troubleshoot distributed databases. Experience working with a wide variety of data sources, including MySQL, Kafka, and business app's like SAP and ORCL. Finally, must have experience with Databricks OR Snowflake OR Redshift, or EMR. If this aligns with the work you've done in the past, please apply, or email Adam Bennett @ - and put "Solutions Arch" in the subject line. Thank you! Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents 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: jobot.com/privacy-policy

Technologies Java Spring Boot Python SQL NoSQL Docker CI/CD AWS What You'll Do Assess customer technology landscapes and system designs to identify opportunities for integration Design and build scalable web services for data ingestion and processing Develop intuitive, reliable APIs for

A major airline company is seeking an Engineer IT Quality Data to ensure data integrity and validation.The role involves utilizing ETL tools, SQL, and programming languages like Scala/Python to automate testing and data analysis.Required qualifications include a Bachelor’s degree in Computer Scien

Ideally, contributors will have: 5+ years of hands-on data science experience with proven business impact Portfolio of completed projects and publications showcasing real-world problem-solving Expert Python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels) Expert sta

A dynamic fintech company is seeking a Data Engineer to join their Data & Intelligence team.In this role, you will build next-generation real-time data systems that support pricing algorithms and machine learning models, ensuring low-latency data delivery.Strong programming skills in Python and SQL

A leading recruitment firm is seeking an Integration Specialist / Technical Solutions Engineer to join a fast-growing fintech firm.This role involves owning client onboarding, managing integrations, and providing ongoing technical support.The ideal candidate has strong proficiency in Python and SQL,

A leading legal technology consulting firm is seeking a Senior Legal Technology Integration Specialist to join its innovative team. Ideal candidates will have over 5 years of consulting experience, strong technical skills in Python and SQL, and a deep understanding of legal processes.

The ideal candidate has over 8 years of experience with Databricks and programming in SQL and Python, and experience in the insurance domain. The position is remote, offering the flexibility to work from anywhere in the United States.

As a Quant Investment Associate, you will be the analytical engine behind our Fixed Income platform. You will not only build the models but also interpret the data to provide strategic recommendations on portfolio construction, tactical asset allocation, and risk-adjusted optimization. This is a highly visible, front-office role where your work directly impacts the alpha generation of our Fixed Income mandates. Key Responsibilities Portfolio Construction & Optimization • Quantitative Modeling: Design and implement robust frameworks for multi-sector Fixed Income portfolio construction (including Sovereigns, Corporates, High Yield, and Securitized products)., • Optimization: Develop and refine optimization algorithms (e.g., Mean-Variance, Risk-Parity, or Factor-based) that account for transaction costs, liquidity constraints, and regulatory requirements (e.g., Basel IV/Solvency II)., • Alpha Generation: Utilize systematic signals and alternative data to identify relative value opportunities across global fixed-income markets., • Scenario Analysis: Conduct Stress-Testing and What-If simulations to quantify portfolio sensitivity to interest rate shocks, spread widening, or geopolitical events., • Custom Tooling: Build and maintain proprietary Python-based libraries for bond pricing, yield curve fitting, and attribution., • Visual Dashboards: Develop real-time dashboards (using Streamlit, Dash, or Tableau) to visualize portfolio exposures, risk concentrations, and performance drivers., • Ad-hoc Analytics: Rapidly respond to market events by performing deep-dive data analysis on specific sectors or idiosyncratic risks. Qualifications • Education: Masters or PhD in a STEM field (Financial Engineering, Mathematics, Physics, Statistics, or Computer Science)., • Experience: 3–10 years in a quantitative role within Fixed Income, ideally on the buy-side (Asset Management or Hedge Fund)., • Programming: Expert-level Python (NumPy, Pandas, Scikit-learn, PyTorch/TensorFlow). Experience with SQL and version control (Git) is essential., • Fixed Income Mastery: Deep understanding of duration/convexity, credit spreads, OAS, and the mechanics of structured products or derivatives (CDX, Swaps, Futures)., • Communication: Ability to bridge the gap between Quant and PM—explaining technical methodologies to non-technical stakeholders., • Commercial Acumen: A passion for markets and a drive to find profitable patterns in data., • Agility: Comfortable in a fast-paced trading floor environment where priorities can shift based on market volatility.

A leading technology company in New York seeks a People Analytics Specialist to support their global Talent Attraction team. The role requires a minimum of 2 years' experience in analytics, proficiency in SQL or Python, and strong communication skills.

Bachelor's Degree in Computer Science, Engineering, Physics, or a related technical field or equivalent work experience. Proven expertise in Python and SQL for data engineering tasks. Masters in Computer Science, Engineering, Physics or related field.

Candidates should have over 5 years of experience and expertise in Python programming, statistical analysis, and machine learning.

A digital marketing firm is seeking a Data Analytics Intern in Secaucus, NJ.This internship provides a hands-on opportunity to gain experience in data collection, cleaning, and analysis while leveraging analytics tools like Excel, SQL, Python, and R.Interns will contribute to actionable business str

Location Remote — United States (US (New York or East Coast) - Remote) Type Full-time About Kestra Kestra is the open-source declarative orchestration platform that simplifies complex data workflows and business processes. We bridge the gap between engineering and business logic, allowing teams to build, scale, and monitor pipelines with clarity and control. In March 2026, we closed a $25M Series A led by RTP Global, with participation from Alven, ISAI, and Axeleo – backed by founders from Datadog, dbt Labs, and Hugging Face. The Role As an Associate Customer Success / Solutions Engineer, you'll sit at the intersection of Sales, Prospects, Product, and Community. As a growth role – you will be expected to: • Take ownership of opportunities and grow into larger ones, • Learn how to run POCs, triage issues, and guide customers toward best practices What You'll Do Pre-Sales & Solutions • Assist in technical discovery calls with prospects, • Support senior engineers in designing and running Proof of Concepts (POCs), • Build, refine, and deliver demo environments and example workflows, • Take ownership of smaller POCs and mid-market opportunities, • Learn how to position Kestra Enterprise against legacy solutions Customer Success • Support onboarding sessions and customer training workshops, • Help triage support issues and coordinate with Engineering, • Reproduce bugs and test workarounds, • Document customer architectures and best practices Community & Product Advocacy • Engage with our open-source community on Slack and GitHub, • Create internal documentation and reusable demo flows, • Contribute blog posts, tutorials, or short technical videos as you grow more confident, • Surface recurring customer friction points to Product What You Bring Mindset First • Strong curiosity and desire to learn orchestration deeply, • Comfortable saying "I don't know — let me find out", • Self-starter who takes initiative rather than waiting for direction, • Growth-oriented: actively seeks feedback and improvement, • Strong problem-solving instincts, • Comfortable operating in ambiguity and a fast-moving startup Technical Background You may not check every box — that's okay. • Previous experience in a highly technical role (Solutions Engineer, Support Engineer, DevOps, Data Engineer, or similar), • Hands-on experience in at least one of:, • Data engineering workflows, • Infrastructure automation, • Cloud-native application development, • Basic familiarity with Docker and containers, • Exposure to Kubernetes (even at a learning level), • Very comfortable reading YAML configuration files, • Programming experience in Python or similar scripting language, • Basic knowledge of SQL Nice to Have • Experience with orchestration tools (Airflow, Prefect, Dagster, etc.), • Exposure to Terraform or Infrastructure-as-Code, • Experience with AWS, GCP, or Azure, • Understanding of CI/CD pipelines, • Interest in AI/LLM workflows or MLOps Requirements • Bachelor's degree in Computer Science, Engineering, or equivalent practical experience, • 1–3 years in a customer-facing or highly collaborative technical role, • Strong written English and verbal communication skills, • Ability to explain technical concepts clearly to different audiences, • Comfortable working remotely with a distributed team, • Willingness to learn quickly and take ownership of problems Growth Path Within 6 months, successful candidates will: • Independently run complex POCs, • Lead full customer lifecycle engagements, • Design production architectures, • Influence product roadmap through field insights, • Represent Kestra at meetups and events Why Join Kestra? • Remote-First: Work from anywhere in the U.S., • Mentorship: Direct exposure to senior solution architects, • High Impact: You'll help shape our Field Engineering playbook, • Open Source: Your work impacts thousands of users globally, • Modern Stack: Cloud-native, orchestration, AI agents, platform engineering, • Benefits: Healthcare, 401K, HSA, PTO, parental leave How to Apply Send us your CV and a brief note answering: What's the most interesting workflow or automation you've built — and what made it challenging? We care more about how you think than how many tools you've used.

Keywords Model Risk, Validation, SR 11 7, OCC, FDIC, CECL, Credit Risk, Pricing, ALM, Stress, Forecasting, AML Models, Backtesting, Benchmarking, Python, R, SQL, Workpapers, Governance, New York. Validation Senior Analyst Model Risk -New York, NY -Hybrid. As a Validation Senior Analyst you will exec

This fully remote position requires at least 3 years of software development experience, with a strong proficiency in Python, ASP.

A leading product-based software company is looking for a skilled Data Scientist to leverage data for strategic decision-making. The role involves designing predictive models, collaborating with teams, and continuously improving data strategies. Ideal candidates will hold advanced degrees and have proficiency in relevant technologies including Python, R, and SQL, with a focus on data integrity and quality.

Create problems requiring Python programming to solve (using Pandas, Numpy, Scipy, Sklearn, Statsmodels, Matplotlib, Seaborn). Verify solutions using Python with standard data science libraries and statistical methods. This opportunity is a good fit for Data Science specialists with an experience in

A leading insights company is seeking a Freelance Senior Data Analyst to transform data into clear insights that support marketing and sales objectives. With a focus on rigorous analysis and storytelling, you'll conduct data analyses using Python and SQL, create dashboards in Tableau, Looker, and Po

A leading weather analytics company is looking for a Data Engineering Intern who will support the data engineering team in enhancing data accessibility and reliability. This position involves developing data pipelines, writing SQL and Python scripts, and contributing to automation initiatives. This

A growing digital media firm is seeking a Data Engineer to lead scalable data engineering efforts that support strategic growth through reliable, actionable data.Candidates must have over 5 years of experience in a cloud-native environment, with deep expertise in Python, SQL, Docker, and AWS.The rol

The role can be performed remotely, and offers a competitive salary range between $100,000 and $180,000 annually, alongside benefits like medical and retirement plans.

Candidates should have 3-5 years of experience, proficiency in SQL, and familiarity with tools like Power BI and Python. A global hiring platform is seeking a Senior BI Data Analyst to work remotely.

A leading email marketing company is seeking a Senior to Lead Data Engineer to drive strategy and architecture for their data platform. The ideal candidate has over 5 years of data engineering experience and strong expertise in SQL and Python.

Proficiency and familiarity with tools and technologies including, but not limited to: Programming Languages: Python, R Databases and Querying: Relational databases, SQL Data Visualization: Tableau, Power BI Analytics Tools: Google Analytics, SQL, MS Access Microsoft Suite: Word, Excel (Advanced For

Overview Data Scientist (Full-Stack / Generalist)Location: Remote / Flexible Type: Full-Time Compensation: Competitive We are seeking an experienced, versatile Data Scientist who thrives in a fast-paced startup environment. In this role, you will have the freedom to identify high-impact opportunities, design and implement technical solutions, and measure their success across our global product suite. We value generalists over specialists. The ideal candidate has broad experience across the entire data science lifecycle rather than deep expertise in just one niche. You should be proactive, self-motivated, and comfortable taking initiative to find problems worth solving. At our firm, you aren't just a number; you maintain ownership of your projects from initial conception to final implementation. What You'll Do • Product Optimization: Design, run, and analyze complex A/B tests to optimize our consumer-facing product experience, • Proactive Analysis: Identify hidden problems and growth opportunities through deep-dive data exploration, • Visualization: Build and maintain high-impact dashboards to track key metrics and provide real-time insights, • Modeling: Develop predictive models to understand user behavior and forecast business outcomes, • Cross-Functional Collaboration: Partner with Product and Engineering teams to turn data-driven hypotheses into live solutions, • Strategy: Help establish data best practices and methodologies for a growing team Requirements • Experience: 2-3+ years of data science experience within a high-growth startup, scale-up, or FAANG/equivalent environment, • Technical Stack: Proficiency with Python/R and SQL/BigQuery, • Experimental Design: Strong experience in designing and analyzing A/B tests specifically for consumer-grade products, • Autonomy: A proven track record of managing entire projects independently from ideation through to implementation, • Communication: Exceptional ability to translate complex statistical findings into actionable recommendations for non-technical stakeholders Preferred Qualifications • Domain Knowledge: Experience with cryptocurrency, blockchain data, or fintech products, • Tooling: Proficiency with Grafana (visualization), FullStory (event tracking), and Dataform (data pipelines), • Advanced Analytics: Strong knowledge of causal inference, statistical methods, and Machine Learning applications Benefits • Compensation: Competitive base salary paired with a generous equity/token package, • Flexibility: Flexible work arrangements to support a healthy work-life balance, • Comprehensive Care: Premium health benefits and a dedicated professional development budget, • High Impact: The opportunity to shape the future of a market-leading product in a collaborative, fast-paced environment MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd's Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting .

Creative Product Manager, Shopping (Remote-Eligible) We are looking for a Product Manager to join our growing team in Capital One Shopping. If you have a remarkable ability to use data to tell a story, form a hypothesis and define metrics to identify the success of product initiatives - this is the role for you! Product Management at Capital One is a booming, vibrant craft that requires reimagining the status quo, finding value creation opportunities, and driving innovative and sustainable customer experiences through technology. We believe our portfolio of businesses and investments in growth and transformation will result in a company with the scale, brand, capabilities, talent, and values to succeed as the digital revolution transforms our society and our industry. Do you dream of well-designed and intuitive products and customer experiences? Do you want to be the one who introduces change to help tens of millions of customers make smarter financial choices? Do you want to change the way people manage their money? If you answered yes to all of these questions, then product management at Capital One may be a fit for you. What we are looking for: • A knowledge and passion for emerging technologies (APIs, Big Data, Native UIs) to incorporate into building great products., • Use SQL to build a data-backed strategy, identify insights, and troubleshoot issues., • Own day-to-day setting and monitoring of KPIs - requires strong SQL/data analysis skills., • Someone comfortable with backend products who is not afraid to challenge the norm and do what is right for the team., • Proficiency in handling large data files using SQL, Python, and/or R., • Own day-to-day operations of product, including identifying bugs or leverage opportunities via comprehensive understanding of data., • A product-centric mindset to take a product from ideation to production and continually iterate improvements., • A customer-first mindset., • A strategic thought leader who can create a compelling vision and story to present to senior executives and inspire direct and partner teams., • A strong communicator who can advance initiatives and create consensus through clear, concise, and contextually relevant messaging., • Creating and maintaining a healthy team culture through thoughtful leadership., • Results focused and able to manage and prioritize multiple projects simultaneously., • Identify, prioritize, and launch innovative, merchant-focused products that drive revenue and customer value. What you'll do: • Lead multiple teams of software and data engineers to design and deliver data platform features for internal users., • Understand the enterprise data requirements and ensure the system's compliance with enterprise patterns., • Relentlessly push to understand user and stakeholder needs and ensure they are considered in prioritization and trade-off discussions., • Create a vision and roadmap for your product that addresses stakeholder needs., • Partner with analysts, data scientists, designers, engineers, and others to continuously refine the roadmap and harvest insights from experiments and product launches., • Build and maintain strong relationships with leaders and stakeholders that depend on the capabilities and performance of our platforms., • Define, socialize, and monitor key performance indicators to understand the evolution and success of the project. Basic Qualifications: • Bachelor's Degree or military experience., • At least 3 years of experience in digital product management., • At least 3 years of experience working with SQL. Preferred Qualifications: • Bachelor's Degree in Computer Science or Engineering., • MBA or Master's degree. 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. • Remote (Regardless of Location): $144,000 - $164,400 for Manager, Product Management., • McLean, VA (Hybrid On-Site): $158,400 - $180,800 for Manager, Product Management., • San Francisco, California (Hybrid On-site): $172,800 - $197,200 for Manager, Product Management. 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 committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace.

Role Overview The Principal AI Data Scientist – Service will join the Supply Chain AI team, reporting to Director, Supply Chain AI Technology. This role is responsible for designing, developing, and deploying end-to-end AI and data science solutions that power our global service operations—spanning field service engineer (FSE) workforce optimization, service job routing, predictive and preventative maintenance, and service parts inventory management. This role is ideal for senior practitioners who are passionate about building production-grade, cloud-native AI/ML and optimization solutions—not just proofs of concept. You will leverage Azure for compute and agent workflows, and Snowflake as the enterprise data platform, to deliver scalable, reliable, and secure solutions with robust CI/CD. You will also work closely with service leaders, planners, and operational teams to translate business problems into AI solutions that drive measurable impact. The role is remote and expects up to 25-30% travel for workshops and stakeholder engagement. Key Responsibilities • Design, develop, and deploy end-to-end AI and data science solutions for service use cases., • Build, productionize, and maintain ML/OR models and agentic workflows using Azure services (e.g., Azure Functions, Container Apps/Kubernetes, Azure ML, Event-driven architectures) and Snowflake as the core data platform., • Own the full lifecycle from problem framing, data exploration, feature engineering, modeling, and experimentation to deployment, monitoring, and continuous improvement in a CI/CD environment (e.g., Azure DevOps or GitHub Actions)., • Collaborate cross-functionally with Service Operations, Field Service, Parts Planning, IT, and product/engineering teams to align technical solutions with operational realities, SLAs, and business KPIs., • Partner with solution architects, data engineers, and platform engineers to define robust data models and data pipelines in Snowflake that support analytics, optimization, and real-time decisioning at scale. Ensure models and services are robust, secure, and production ready, with clear monitoring, alerting, feedback loops, and retraining strategies. Qualifications • PhD or Master's degree in Data Science, Computer Science, Operations Research, Industrial Engineering, Applied Mathematics, or a related quantitative field., • 7+ years of experience in AI, data science, or advanced analytics, with significant experience focused on service, maintenance, field operations, or closely related operational optimization domains., • Strong proficiency in Python and experience with modern ML/AI and optimization frameworks (e.g., scikit-learn, PyTorch, OR-Tools/Gurobi or similar, and optionally LLM/agent frameworks for workflow orchestration)., • Demonstrated experience building and deploying production-grade AI/ML or optimization solutions on Azure, including containerized services, APIs, and CI/CD pipelines., • Hands-on experience working with Snowflake (or a similar cloud data platform) for data modeling, SQL development, performance tuning, and integrating analytics/ML workloads. Preferred Experience • Direct experience in Service Operations, Field Service, Asset Management, or Service Supply Chain functions., • Familiarity with ERP and service management systems (e.g., Oracle, SAP, ServiceMax, Salesforce Field Service, or similar) and how they support service orders, assets, and parts., • Experience with large language models (LLMs) and intelligent agents applied to service workflows, such as technician copilots, knowledge retrieval, or conversational troubleshooting. Benefits • Remote work arrangement is available for eligible roles. Additional information will be provided by the interview team., • Annual salary range: $150K–$215K. The range may be modified in the future., • Bonus/incentive pay eligibility., • Comprehensive benefits package including paid time off, medical/dental/vision insurance, and 401(k) to eligible employees. EEO Statement Danaher Corporation and all Danaher Companies are committed to equal opportunity regardless of race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law. We comply with federal and state disability laws and make reasonable accommodations for applicants and employees with disabilities. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact 1-202-419-7762 or . The U.S. EEO posters are available here.

Recommended years of experience: 7 Bachelor's degree, preferably in finance, business administration, or related field Preferred: Prior experience in a Market Risk analysis and monitoring role Preferred: Understanding of programming languages, such as SQL, Python, R, C++ Basic understanding of finan

A leading US software development company is seeking a Data Operations Analyst to ensure data quality and help improve data processes. You will analyze data using SQL and Python, collaborate with engineering teams, and refine workflows for efficiency. The ideal candidate has a Bachelor's degree in a

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A technology training company is offering a Data Engineer position focused on developing technical skills for recent graduates. The role includes training in data pipeline development using Python, Excel, and SQL.

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We’re looking for a Head of Solutions Engineering to help customers integrate, build and experiment with machine-learning models using the Shaped Platform. Proficient with Python, SQL Have the willingness to wear many hats, be passionate about unblocking issues for customers, and have an excitemen

Strong expertise in SQL, including joins, aggregations, unions, and window functions. Use SQL and data modeling techniques to structure and optimize datasets for analytics use cases.

Get AI-powered advice on this job and more exclusive features. Direct message the job poster from Hayward Hawk IT Specialist | Principal Recruitment Consultant | 02895 902688 | New York – 2 days p/w Hayward Hawk are delighted to be recruiting for a Machine Learning Engineer for their client based in Manhattan. This is a hybrid role and will be onsite 2 days per week. The Role: This role is centred on developing and deploying advanced machine learning models, with a strong emphasis on time series forecasting and anomaly detection. You will work with complex, multi-source datasets, creating predictive insights that drive real estate and financial analytics. Key Responsibilities: Model Development: Design and implement predictive models to analyse trends, detect anomalies, and enhance forecasting capabilities. Cloud-Based Deployment: Build scalable, cloud-native solutions leveraging Azure ML, Data Factory, and Application Insights for monitoring and optimization. Stakeholder Collaboration: Engage with engineers, business teams, and domain experts to integrate AI-driven insights into real estate analytics. Data Processing & Engineering: Work with large-scale structured and unstructured data, developing ETL pipelines using SQL and Python. Exploratory Analysis & Feature Engineering: Perform EDA, feature selection, and model evaluation to improve predictive accuracy and interpretability. Skills & Experience Required: A minimum of 5 years of experience in Machine Learning, AI, or Data Science. Proficiency in Python with expertise in ML libraries like TensorFlow, PyTorch, Scikit-learn, or XGBoost. Hands-on experience in time series forecasting (e.g., ARIMA, Prophet, LSTMs). Strong SQL skills for data extraction, transformation, and management. Knowledge of Azure-based cloud services (Azure ML, Data Factory, Application Insights). Background in data preprocessing, feature engineering, and model evaluation. Ability to translate technical findings into insights that are accessible to non-technical audiences. Would love: Exposure to big data technologies such as Spark, Databricks, or Snowflake. Experience in MLOps and deploying models in production environments. Understanding of real estate analytics, financial modelling, or risk assessment. Cloud certifications related to AI/ML on Azure or equivalent. Unfortunately, there is no visa sponsorship opportunity with this role Seniority level Mid-Senior level Employment type Full-time Job function Information Technology Industries Technology, Information and Media #J-18808-Ljbffr

Hands-On Principal Architect Needed for High-Growth Data Consultancy This Jobot Job is hosted by: Robert Donohue Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $170,000 - $225,000 per year A bit about us: We are a leading modern data consultancy helping enterprise clients solve their toughest data challenges through cloud, AI, analytics, and engineering solutions. Our partnerships span top platforms including Snowflake, Amazon Web Services, Microsoft Azure, Google Cloud, Databricks, Fivetran, and dbt Labs. Our team operates in a remote-first environment across the United States, Latin America, and India. We hire top performers who thrive in a culture built on ownership, trust, innovation, and autonomy. Recognized as an industry leader with multiple partner awards, hundreds of advanced certifications, and a reputation for delivering measurable client outcomes. Why join us? • Competitive Compensation: $170,000 – $225,000 base salary + Bonus, • Remote-First: Work from anywhere in the US with occasional customer-site travel nationwide, • Massive Growth: Be part of a company growing 40% YOY, creating career advancement opportunities, • Own strategic relationships and help expand enterprise accounts, • Cutting-Edge Tech: Build enterprise-scale solutions leveraging Snowflake, Databricks, AWS, GCP, Azure, Kafka, and more, • Award-Winning Culture: Collaborative, inclusive, and committed to professional development, • Learning & Development: Accelerated training, advanced certifications, and exposure to AI/ML innovation, • Time Off & Benefits: 4 weeks PTO, 10 paid holidays, health/dental/vision insurance, 401(k), and additional perks Job Details We are seeking a Principal Solutions Architect who can operate as both a trusted technical advisor and a strategic growth partner. This role is ideal for someone with a strong hands-on background in Data Engineering or Solutions Architecture who has also succeeded in pre-sales, post-sales, account expansion, or client consulting environments. What You’ll Do Client Engagement & Growth • Build executive and stakeholder relationships within key accounts, • Understand long-term business priorities and create technical roadmaps, • Identify expansion opportunities where additional services or solutions add value, • Partner with leadership and sales teams to grow strategic accounts, • Lead responses to RFPs, RFIs, proposals, and solution presentations, • Architect end-to-end modern data solutions for enterprise clients, • Lead discovery sessions, assessments, proofs of concept, and solution design, • Guide implementations with focus on scalability, security, and performance, • Mentor engineers and architects across delivery teams, • 8+ years in Solutions Architecture, Data Engineering, or similar client-facing technical roles, • Experience in pre-sales, post-sales, consulting, customer success engineering, or account growth, • Strong hands-on experience with cloud data platforms such as Snowflake, Databricks, Amazon Web Services, Microsoft Azure, or Google Cloud, • Strong coding skills in Python, Java, and/or Scala, • Advanced SQL optimization and data modeling skills, • Experience presenting to technical and business stakeholders, • Ability to lead technical documentation, roadmaps, and architecture artifacts, • Experience with Kafka, Spark, Airflow, dbt, Fivetran, Matillion, NiFi, • Experience with streaming, lakehouse, medallion, or enterprise migration initiatives, • Prior success expanding accounts or managing strategic customers, • Cloud certifications or advanced platform credentials Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents 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. 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Job DescriptionBenefits: • 401(k), • Bonus based on performance, • Company parties, • Competitive salary, • Free food & snacks, • Opportunity for advancement, • Paid time off Behind the scenes, we are building something bigger than therapy. We are actively expanding and strengthening our internal system and digital infrastructure designed to support scalable healthcare operations, clinical workflow, scheduling, billing logic, internal reporting, automation, and long-term growth. This is not a helpdesk job. This is a build-the-future role with real responsibility, real ownership, and real impact. We are seeking an Technology Coordinator who can step into our ecosystem, learn it deeply, and help strengthen both our software systems and internal tech infrastructure across all of The Sensory Studio locations. The Technology Coordinator will support the continued development, maintenance, and evolution of Max Studio Health (MSH), our internal EMR system and also play a key role in supporting internal technology logistics across all centers. This person will be responsible for understanding how MSH functions end-to-end, supporting and improving its workflows, and ensuring our team has the technology support and infrastructure needed to operate efficiently day-to-day. This role requires someone who can think like an engineer and operate like a leader someone who is technically sharp, operationally organized, and able to handle both systems development and real-time studio technology needs. Required Technical Skills Front-End Development: • ReactJS (Proficiency strongly required), • HTML / CSS, • TailwindCSS (Highly preferred), • Proficiency in other modern JavaScript frameworks (Angular, Vue, etc.) is acceptable, as long as you can work confidently in React.Back-End Development, • Python (Strong proficiency required), • SQL (PostgreSQL) (Strong proficiency required), • Experience working with AWS CLI, • AWS Lambda, • API Gateway, • S3, • DynamoDB, • CloudWatch, • RDS (PostgreSQL)Infrastructure / DevOps Skills, • Docker, • Supporting staff with internal technology requests and troubleshooting, • Computer, laptop, and workstation support, • Printer setup, connectivity troubleshooting, and general printer maintenance support, • Telephone system support (including Net2Phone), call routing issues, voicemail troubleshooting, and internal messaging support, • Wi-Fi and connectivity troubleshooting, including coordination with service providers when needed, • Supporting onboarding and offboarding technology logistics (device setup, access, accounts, permissions), • Conducting equipment audits across all centers, • Maintaining and tracking technology inventory across locations (computers, iPads, printers, headsets, accessories, etc.), • Ensuring each center remains organized, operationally prepared, and properly equippedThis role requires someone who is responsive, dependable, resourceful, and able to support real-time operational needs in a fast-moving pediatric healthcare environment. Core Responsibilities • Supporting the continued development and expansion of Max Studio Health (MSH), • Troubleshooting, optimizing, and improving system workflows across internal platforms, • Building scalable tools that support Admin, HR, Billing, and Clinical Operations, • Managing AWS deployments, cloud infrastructure, and monitoring systems, • Maintaining clean documentation to ensure long-term sustainability of systems, • Diagnosing and resolving technical issues quickly and effectively, • Supporting automation, API connectivity, and internal reporting tools, • Assisting with technology planning, infrastructure upgrades, and long-term systems strategy, • Strong ownership mentality and self-direction, • High energy, initiative, and problem-solving instincts, • Organization, structure, and attention to detail, • Ability to communicate technical concepts clearly to non-technical staff, • Ability to stay calm under pressure and respond efficiently to urgent needs, • Strong documentation habits and pride in clean, sustainable work Bonus Skills (Highly Attractive) While not required, we strongly value candidates with: • Healthcare operations technology experience, • HIPAA-aware system design and compliance awareness, • Experience with internal dashboards, admin portals, or automation tools, • Experience working in scaling environments with evolving infrastructure, • Strong UI/UX instincts for building staff-friendly systems You will help shape the systems that support our staff, our families, and our long-term growth. This is a role with influence, autonomy, and real responsibility designed for someone who wants to become an integral part of a long-term mission.

Job DescriptionSalary: Murex S4C Consultant Company: SoHo Dragon represents a Global Financial Technology leader Location: Hybrid NYC, Toronto, Mexico City, So Paulo, Santiago Contract Duration: 1 Year (Renewable) Start Date: ASAP Seniority: Junior to Mid Level We are looking forintegrationexpertise. • Provide professional services to Murex clients:, • Provide services in the domain of system integration, business intelligence and data flows through the full lifecycle of the MX.3: requirements analysis, configuration build, installation, training, upgrade, and production support., • Professionally interact with Murex colleagues and clients. 2. Build, test, and provide support to clients on MX.3 integration modules. • Contribute to project implementations, • Participate in design, build, and test phases sometimes remotely and other times at the client site as needed., • Develop trade workflows and interfaces to set up communication between external platforms and murex to receive trade and other data feeds, process them, save into the system, and send acknowledgement. Use a combination of MXMLExchange, MXopenconnect, Murex APIs, and Datamart to successfully deliver such solutions., • Contribute to functional documentation of the test cases and use cases by the client., • Contribute to Design documentation for the Build process of the Product., • Develop and maintain end-to-end configuration management packages etc. Install, Deploy and test Murex packaged interfaces like MDIT (market data interface tool), Markitwire, BSMT and MarkitCredit to receive live and end-of-day data from external providers like Bloomberg, Reuters, Markit, etc., • Handle support cases from notification to resolution and validation., • Participate in the business as usual and project support: follow-up of client open cases through email, CRM portal, phone-calls and on-site visits, • Develop an understanding of ongoing activities and manage own deliverables / progress, • Manage bug fixes and enhancements with the Product Team 3. Integrate with various teams to deliver the right solution to client. • Work with S4C stream leads, Front-Office, Back-Office, or Risk teams to understand requirements and develop solutions for the client., • Work with the Product division team to provide them timely details on defects how to reproduce the issue, project/client constraints, and how to validate the fix., • Follow up with the S4C stream leads, the Project Manager, and other teams to meet deadlines and regular meetings to make sure the delivery is on time. 4. Work with technologies including SQL, Unix, and Murex proprietary standards like Murex Scripting Language (MSL), XMLF, etc. for client solutions. • Use SQL for end-of-day report generation, STP (straight through processing) failure issues, P&L evaluation, for analyzing issues in trade feed and status Etc., • Java programming skills are not essential but are a plus., • Various Murex proprietary languages and formats: Data Query Language for querying in various screens in MX.3, MSL (Murex Scripting Language) for pre-trade logic, XMLF for post-trade flow processing, MxML in various contexts, etc., • Create shell/python scripts for automation of day-to-day manual activities., • Understand requirements, analyze the problem areas of the current system and behavior of pre- trade and post-trade workflow, and integration points.