Trabajos senior data scientist en Atlanta, GeorgiaCrear alertas

Cargill is a family company committed to providing food and agricultural solutions to nourish the world in a safe, responsible, and sustainable way. We sit at the heart of the supply chain, partnering with producers and customers to source, make and deliver products that are vital for living. By providing customers with life’s essentials, we enable businesses to grow, communities to prosper, and consumers to live well. This position is in our Food Enterprise where we are committed to serving food manufacturers, food service customers, and retailers with a complete range of innovative ingredients and branded products. Our portfolio includes poultry, beef, egg, alternative protein, salt, oils, starches, sweeteners, cocoa and chocolate. The Senior AI & Data Science job plans and leads the development of artificial intelligence models from design and prototyping through deployed solutions to drive decision making. With minimal supervision, this role extracts and integrates complex data from various sources, builds advanced models suitable for the business use case and evaluates model performance for accuracy, scaling and deployment. This job also develops compelling and clear communication materials to facilitate partner on board. By leveraging diverse and expansive data sources, this role applies advanced forecasting, optimization, and machine learning techniques to transform how decisions are made across the supply chain. The Senior Professional accelerates AI adoption by partnering with business and technology teams. They work to embed models into core workflows, operationalizing data science to deliver sustained business impact. • DATA PREPARATION MANAGEMENT: Conducts extraction and integration of complex data from different data sources, analyses the ways in which datasets may be biased and applies mitigation strategies., • DATA ANALYSIS: Reviews complex data sets for exploratory data analysis to identify trends and patterns that inform business strategies across various areas., • MODEL DEVELOPMENT: Develops and deploys artificial intelligence models, including monitoring and evaluating ongoing performance to solve complex business problems and derive actionable insights., • AI ENGINEERING: Establishes software and artificial intelligence engineering patterns and principles to design, develop, test, integrate, maintain and troubleshoot complex and varied generative artificial intelligence software solutions and incorporates security practices in newly developed and maintained applications. ., • DOCUMENT & REPORTING: Documents development and code in ways that allow for support and knowledge sharing., • COMMUNICATION: Presents techniques and results to technical and non-technical audiences., • CONTINUOUS LEARNING: Examines existing and emerging artificial intelligence and optimization principles, theories, and techniques to develop and deploy artificial intelligence models into production, improving the organization's analytical capabilities., • STAKEHOLDER MANAGEMENT: Works closely with businesses to understand needs, and collaborates with cross functional teams to develop artificial intelligence models for digital applications., • Minimum requirement of 4 years of relevant work experience. Typically reflects 5 years or more of relevant experience. Preferred Qualifications: • Master’s degree or PhD in Applied Mathematics, Computer Science, Data Science, Operations Research, or a related field., • Deep experience leading the design, deployment, and scaling of applied AI/ML solutions that drive measurable business impact across complex value chains., • Advanced expertise in Machine Learning, Deep Learning, and/or Reinforcement Learning, including model governance, performance monitoring, and lifecycle ownership., • Recognized depth in forecasting and optimization, with a track record of influencing enterprise‑level decisions in pricing & commercial. #HiPo This role is not eligible for employer-sponsored work authorization now or in the future. This includes candidates whose work authorization is tied to a student visa, employer-sponsored visa, visa transfer, immigration petition, or other third-party sponsorship arrangement. The expected salary for this position is $105,000 - $160,000. Compensation varies depending on a wide array of factors including but not limited to the specific location, certifications, education, and level of experience. The disclosed range estimate may be adjusted for any applicable geographic differential associated with the location at which the position may be filled. This position is eligible for a discretionary incentive award. The incentive award amount is dependent upon company performance and your personal performance. At Cargill we put people first. As part of your overall rewards, we offer a comprehensive benefit program including medical and/or other benefits dependent on the position offered and hours worked. Visit: _ to learn more (subject to certain collective bargaining agreements for Union positions). Minnesota Sick and Safe Leave accruals of one hour for every 30 worked, up to 48 hours per calendar year unless otherwise provided by law. Equal Opportunity Employer, including Disability/Vet To apply using chat/text, please click Apply Now button OR use _ to create a login to apply.

Technical Exploration & Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, pr

Baer is looking for Senior Data Scientist & Product Manager for a Contact-to-Hire project located in Atlanta, GA. \n \n Title: Senior Data Scientist & Product Manager \n Location: Hybrid – Atlanta, GA (3 days/week on-site) \n Duration: Contract-to-Hire \n Rate: All-inclusive \n Alignment: W2 or C2C \n \n Overview: \n \n We are seeking an experienced Senior Data Scientist & Product Manager to lead the strategy, development, and delivery of innovative Computer Vision solutions. This hybrid role combines technical leadership in AI/ML and computer vision with product ownership, driving the roadmap, vision, and business outcomes for computer vision applications. You will collaborate with cross-functional teams, business stakeholders, and external technology partners to deliver scalable, high-impact AI products. \n \n Description: \n \n\n • Lead the design, development, and optimization of Computer Vision and Machine Learning solutions\n, • Define and manage the product vision, roadmap, priorities, and business objectives for Computer Vision products.\n, • Build and enhance image processing pipelines, rules engines, and AI-powered applications.\n, • Partner with engineering, data science, and business teams to deliver scalable, high-quality solutions.\n, • Work with external Image Recognition (IR) vendors to improve model performance, accuracy, and product quality.\n, • Define product KPIs, monitor performance, and drive continuous improvements based on data and user feedback.\n, • Support AI model lifecycle activities including training, validation, deployment, monitoring, and optimization.\n, • Manage product backlogs, requirements, release planning, and stakeholder communications.\n, • Research emerging AI, Computer Vision, and Generative AI technologies to identify new business opportunities.\n, • Mentor technical teams and provide leadership on best practices in AI, Machine Learning, and product development.\n\n \n Requirements: \n \n\n • 7+ years of experience in Data Science or Machine Learning, including 3+ years in Computer Vision.\n, • Strong experience with Python and Computer Vision frameworks such as PyTorch, TensorFlow, and OpenCV.\n, • Hands-on knowledge of the complete Machine Learning lifecycle, including model deployment and monitoring.\n, • Experience leading AI/ML projects from concept through production.\n, • Proven experience managing product roadmaps, priorities, and business outcomes.\n, • Strong analytical, problem-solving, communication, and stakeholder management skills.\n, • Experience working with cross-functional teams and external technology partners.\n, • Experience as a Product Owner or Product Manager for AI/ML products.\n, • Knowledge of Image Recognition solutions in Retail, CPG, or Supply Chain environments.\n, • Experience with Azure, Databricks, APIs, SDKs, CI/CD, and cloud-native architectures.\n, • Familiarity with Generative AI, foundation models, and modern AI technologies.\n, • Experience with rules engines, business logic frameworks, and data platforms.\n, • Bachelor's Degree.\n\n \n Company Overview: \n \n Baer provides best-in-class engagement experiences for our consultants. Our job requirements are carefully vetted and are typically associated with pivotal programs offering tremendous opportunities to expand your skills leveraging the latest solutions. \n \n Baer is an equal opportunity employer including disability/veteran. \n \n ALL OPEN JOBS

Coursera and Udemy are now one company, creating one of the world’s most comprehensive skills development platforms for the AI era.This strengthens our ability to accelerate AI-powered innovation and shape how the world discovers and builds skills at a pivotal moment of change.Read more about the

If you're passionate about solving complex business and technical problems, working with large-scale data, streamlining data processes, and transforming intricate data into actionable insights, this is the opportunity for you! You’ll be working alongside a talented development team, using your adv

Job Description Mission Lane is combining the power of data, technology, and exceptional service to pave a clear way forward for millions of people on the path to financial success. By attracting top talent and leveraging cutting-edge technology, we're enabling people to unlock real financial progress. Sound like a mission you can get behind? We're looking for a Senior Talent Acquisition Partner to own full-cycle hiring across a shifting mix of technical and non-technical teams, reporting to the Senior Manager, Talent Acquisition. The impact you'll make: Behind every forward motion a Mission Lane customer makes is someone on our team: the analyst who spotted a pattern, the data scientist who developed a new algorithm, the product manager who made the next step clearer. Finding those people, the ones who clear the path to progress for our customers, is the Senior Talent Acquisition Partner's job: working with hiring managers, one search and one great hire at a time. What you'll own: • Full-cycle hiring for a rotating portfolio of roles spanning credit, data science, analytics, product and platform management, and corporate functions, typically managing ~6-10 open requisitions at a time, • Proactive sourcing for every search, • The hiring plan behind every search you run: scorecards, panel recommendations, and interviewer briefs that define what "right" looks like before the search begins, • Calibration across the interview process, coaching hiring managers and panelists toward a consistent, unbiased read on every candidate, • Offer strategy and negotiation, partnering with Finance, HRBPs, and Total Rewards to land the right terms and close candidates, • Pipeline and candidate data integrity across Greenhouse, Gem, and LinkedIn Recruiter, plus the market and talent-availability insight that shapes how your hiring managers scope and prioritize their roles You'll thrive in this role if: • You build genuine partnerships with hiring managers, understanding a role well enough to pressure-test its scope and timeline together before a search begins., • You read a stalled pipeline like a puzzle: tracing the drop-off to its actual cause and knowing when the right move is patience rather than more volume., • You're comfortable as priorities sharpen and Mission Lane's own playbook keeps taking shape., • You're energized by hiring across genuinely different functions in the same week: a credit risk analyst one day, a machine learning engineer the next. Minimum Qualifications: • 7+ years of full-cycle recruiting experience, with some of that time spent in-house rather than at an agency, ideally at a company that does not yet have a strong, widely recognized brand driving significant inbound applicant volume., • A track record of partnering directly with business stakeholders to understand what a hiring goal requires, then delivering candidates who meet it., • Proficiency with Greenhouse, Gem, and LinkedIn Recruiter, or comparable ATS, CRM, and sourcing platforms., • Ability to travel approximately ~4-6 times per year for in-person collaboration. Preferred Qualifications: • Credit industry experience, recruiting for credit analyst roles., • Experience recruiting for data science and machine learning roles., • Experience operating in a fast-changing, high-growth environment where priorities and processes continue to evolve as the company scales., • Recruiting experience at a company of comparable size and growth stage to Mission Lane, roughly 500 employees, high-growth, and still finding its shape. Compensation: Annual full-time starting base salary range: $143,000-$170,000 This role is eligible for additional compensation in the forms of participation in our annual incentive and equity programs. Pay is based on factors such as work experience, education, certification(s), training, skills, and competencies related to the role. Mission Lane also offers a comprehensive benefits plan, which includes paid time off, 401(k) match, a monthly wellness stipend, health/dental/vision insurance options, disability coverage, paid parental leave, flexible spending account (for childcare and healthcare), life insurance, and a remote-first work environment. About Mission Lane: Founded in December 2018, Mission Lane is a purpose-driven fintech company based in the U.S., with headquarters in Richmond, Virginia. It all started with a realization: nearly fifty percent of the adult population in the U.S. doesn't have access to a clear line of credit. Most traditional credit card companies either overlook or overcharge this group because they have less-than-perfect credit scores or no scores at all. We decided this just wouldn't do. In partnership with our sponsor banks, we offer credit cards under the Mission Lane brand name, with better, clearer terms, and a more refined customer experience than the alternatives available to people working hard to improve their credit. To date, over four million consumers have chosen Mission Lane, earning high customer ratings on Credit Karma for its market segment and industry leading Net Promoter scores. Mission Lane has cumulatively raised over $600 million of equity from leading investors, including Invus Opportunities, QED Investors, LL Funds, funds affiliated with Oaktree Capital Management, and other leading investors. Our commitment to a workplace built on respect and dignity is guided by our core value of Unity. We believe that everyone plays a vital role in our shared purpose, and we actively cultivate an environment where all individuals have the opportunity to do their best work. By fostering a culture of empathy and collaboration, we create a strong sense of belonging and support for every team member. Mission Lane is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, or any other protected status. Mission Lane provides reasonable accommodations to applicants who need them for medical or religious reasons, as required by law. Applicants can initiate an accommodation request by contacting peopleexperience@missionlane.com. Mission Lane is not sponsoring new applicant employment authorization and please, no third-party recruiters. Application Integrity: Our cardholders trust us with their financial well-being, and this trust starts with the integrity of the people on our team. We're looking for team members who share our dedication to transparency and truth. Please verify that the information in your application is accurate and complete. Providing any information to Mission Lane that is not completely truthful at any point during the application or hiring process may result in removal from the hiring process, disqualification from future opportunities, withdrawal of an offer or other sanctions for candidates and, in addition for employees, disciplinary action, up to and including termination of employment.

Job Description Who are we? A strategic and trusted insurance partner, Berkshire Hathaway Specialty Insurance (BHSI), provides a broad range of commercial property, casualty and specialty insurance coverages and outstanding service to customers and brokers around the world. Part of Berkshire Hathaway’s insurance operations, we bring our solutions to market with our stellar brand name, top-rated balance sheet, and the expertise of our global team of professionals, who exude excellent capabilities and strong character. We are a values-based organization where respect, integrity, excellence, collaboration, and passion define who we are and how we do business. We value diversity of backgrounds, experience, and perspectives and strive to foster an inclusive environment that enables all our team members to bring their best selves to work. We are one team committed to building a culture where every teammate has the opportunity to contribute and be recognized. Want to be part of the team building the finest property, casualty and specialty lines insurance company in the world? Learn more about our unique culture and history. Job Opportunity: Berkshire Hathaway Specialty Insurance (BHSI) has an exciting opportunity for Data Scientist / Senior Data Scientist to join the Catastrophe Engineering and Analytics (CAT E&A) team. CAT E&A is an innovative and versatile technical team conducting catastrophe risk research and development and providing complex quantitative metrics that inform underwriting decisions across multiple lines of business. The successful candidate will be responsible for identifying and applying cutting-edge data science techniques to build a better view of the risk for multiple perils. You will work across functional areas and perils within the team, supporting the development of models for various natural catastrophes, natural hazards, building vulnerability, and man-made risks such as cyber, casualty, among others. In addition, you will conduct in-depth evaluation of vendor models, research and develop internal views of exposure and risks, consult on account-specific risk analyses, and develop internal tools to facilitate account underwriting decision-making and other related activities. Duties & Responsibilities: • Evaluate and develop insights into large and diverse data sets from claims, hazard models, structural analysis, geospatial sources, and various other public/proprietary datasets., • Develop and maintain expertise in advanced data science, machine learning, and artificial intelligence techniques, and their application to understanding risk., • Work with domain experts across teams and perils to enhance our use of available data., • Propose and execute innovative solutions to insurance problems that directly impact BHSI underwriting decisions. Qualifications, Skills and Experience: • Ph.D. or M.S. in data science, civil engineering, atmospheric science, actuarial science, computer science, mathematics, or a related field, • 3-6 years of industry experience is preferred and required for the Senior Data Scientist level role, • Advanced knowledge of probability theory, statistics, and machine learning methods is required, • Practical experience in insurance, catastrophe model development, cyber and casualty risk modeling, and/or exposure data collection is preferred, • Experience applying advanced statistical techniques and machine learning to large data sets, especially in areas of structural performance, natural catastrophe hazard, building exposure data, geospatial data, or insurance claims data, • Familiarity with large language models (LLMs), retrieval-augmented generation (RAG), and their application in data-driven workflows is a plus, • Strong written and verbal communication skills, • Strong programming skills in Python (preferred), R, and SQL, • Experience and understanding of relational and non-relational databases preferred, • Comfort working within git-based version-control environments, • Experience with Databricks or other cloud-based data and analytics platforms preferred, • Highly motivated, detail oriented, and team player BHSI Offers: • A competitive package and exciting growth opportunities for career-oriented teammates., • A dynamic, action oriented, and thoughtful environment centered on always doing the right thing for our customers, teammates, and our other stakeholders., • A purposely non-bureaucratic organization that embraces simplicity over complexity and emphasizes individual excellence in a team framework., • Benefits that support your life and well-being, which include:, • Comprehensive Health, Dental and Vision benefits, • Disability Insurance (both short-term and long-term), • Life Insurance (for you and your family), • Accidental Death & Dismemberment Insurance (for you and your family), • Flexible Spending Accounts, • Health Reimbursement Account, • Employee Assistance Program, • Retirement Savings 401(k) Plan with Company Match, • Generous holiday and Paid Time Off, • Tuition Reimbursement, • Paid Parental Leave The base salary range for this position in Atlanta, GA, Boston, MA, or San Ramon, CA is $100,000 to $160,000, along with annual bonus eligibility. Total compensation for a candidate is determined by their relevant skills, location, and experience. We value our teammates – both their capabilities and character – as demonstrated by our amazing culture. NOTE: Compensation will be commensurate with experience. This job description is not intended to be all-inclusive. Team Member may perform other related duties as negotiated to meet the ongoing needs of the organization.

Job Description Who are we? A strategic and trusted insurance partner, Berkshire Hathaway Specialty Insurance (BHSI), provides a broad range of commercial property, casualty and specialty insurance coverages and outstanding service to customers and brokers around the world. Part of Berkshire Hathaway’s insurance operations, we bring our solutions to market with our stellar brand name, top-rated balance sheet, and the expertise of our global team of professionals, who exude excellent capabilities and strong character. We are a values-based organization where respect, integrity, excellence, collaboration, and passion define who we are and how we do business. We value diversity of backgrounds, experience, and perspectives and strive to foster an inclusive environment that enables all our team members to bring their best selves to work. We are one team committed to building a culture where every teammate has the opportunity to contribute and be recognized. Want to be part of the team building the finest property, casualty and specialty lines insurance company in the world? Learn more about our unique culture and history. Job Opportunity: Berkshire Hathaway Specialty Insurance (BHSI) has an exciting opportunity for Data Scientist / Senior Data Scientist to join the Catastrophe Engineering and Analytics (CAT E&A) team. CAT E&A is an innovative and versatile technical team conducting catastrophe risk research and development and providing complex quantitative metrics that inform underwriting decisions across multiple lines of business. The successful candidate will be responsible for identifying and applying cutting-edge data science techniques to build a better view of the risk for multiple perils. You will work across functional areas and perils within the team, supporting the development of models for various natural catastrophes, natural hazards, building vulnerability, and man-made risks such as cyber, casualty, among others. In addition, you will conduct in-depth evaluation of vendor models, research and develop internal views of exposure and risks, consult on account-specific risk analyses, and develop internal tools to facilitate account underwriting decision-making and other related activities. Duties & Responsibilities: • Evaluate and develop insights into large and diverse data sets from claims, hazard models, structural analysis, geospatial sources, and various other public/proprietary datasets., • Develop and maintain expertise in advanced data science, machine learning, and artificial intelligence techniques, and their application to understanding risk., • Work with domain experts across teams and perils to enhance our use of available data., • Propose and execute innovative solutions to insurance problems that directly impact BHSI underwriting decisions. Qualifications, Skills and Experience: Educational Background • Advanced degree (Master's or Ph.D.) in Statistics, Actuarial Science, Applied Mathematics, Data Science, Engineering, or other equivalent quantitative discipline., • Strong academic foundation in probability theory, statistical inference, stochastic processes, and Bayesian statistics. Technical & Analytical Skills • Deep expertise in probability models commonly used in insurance (e.g., frequency–severity models, GLMs, loss distributions)., • Strong applied statistics skills for:, • Risk modeling, • Predictive analytics, • Pricing & underwriting analytics, • Catastrophe exposure analysis, • Proficiency in statistical and machine learning techniques, including:, • Regression (GLM, GAM, GAMMs), • Time-series forecasting, • Gradient boosting, random forests, and other tree-based models, neural networks models, • Clustering and segmentation, • Bayesian methods, • Hands-on experience with key programming tools:, • Python (NumPy, pandas, scikit-learn; PyTorch/TensorFlow a plus), • R (actuarial/statistical packages), • SQL for data extraction and manipulation, • Familiarity with Git and Docker is a plus, • Experience with big data and distributed computing (e.g., Spark, Databricks, AWS/GCP/Azure) is a plus. Preferred Domain Knowledge in Risk Modeling • Strong understanding of property & casualty insurance, including:, • Exposure modeling, • Loss distributions (e.g., Pareto, lognormal, gamma), • Catastrophe risk concepts and tail modeling, • Portfolio risk aggregation, reinsurance structures, and risk metrics (AAL, PML, TVaR) Data Skills • Ability to work with large structured and unstructured datasets., • Expertise in data cleaning, transformation, and feature engineering., • Experience building automated data pipelines and scalable model workflows. Modeling & Communication • Ability to translate complex statistical concepts into actionable business insights., • Experience communicating results clearly to actuaries, underwriters, executives, and non-technical stakeholders., • Strong documentation and model governance discipline. Professional Competencies • Curious, analytical thinker with strong problem-solving ability., • Ability to work independently in ambiguous problem spaces., • Collaborative mindset — comfortable partnering with actuaries, underwriters, portfolio managers, and engineers. BHSI Offers: • A competitive package and exciting growth opportunities for career-oriented teammates., • A dynamic, action oriented, and thoughtful environment centered on always doing the right thing for our customers, teammates, and our other stakeholders., • A purposely non-bureaucratic organization that embraces simplicity over complexity and emphasizes individual excellence in a team framework., • Benefits that support your life and well-being, which include:, • Comprehensive Health, Dental and Vision benefits, • Disability Insurance (both short-term and long-term), • Life Insurance (for you and your family), • Accidental Death & Dismemberment Insurance (for you and your family), • Flexible Spending Accounts, • Health Reimbursement Account, • Employee Assistance Program, • Retirement Savings 401(k) Plan with Company Match, • Generous holiday and Paid Time Off, • Tuition Reimbursement, • Paid Parental Leave The base salary range for this position in Atlanta, GA, Boston, MA, or San Ramon, CA is $100,000 to $160,000, along with annual bonus eligibility. Total compensation for a candidate is determined by their relevant skills, location, and experience. We value our teammates – both their capabilities and character – as demonstrated by our amazing culture. NOTE: Compensation will be commensurate with experience. This job description is not intended to be all-inclusive. Team Member may perform other related duties as negotiated to meet the ongoing needs of the organization.

Job DescriptionAbout the Role Liquid Web is hiring a Data Scientist to power our volumetric, subscription-driven growth engine (hosting, commerce, and software). This role owns the models and measurement systems connecting marketing spend to conversion, retention, and LTV, with a critical emphasis on ICP-specific economics (agencies, SaaS, ecommerce, and mission-critical buyers). You aren’t just a "dashboard builder." You are a Data Anthropologist. You look past the rows in Snowflake to see the human stories—the friction points that cause churn, the "aha" moments that trigger an upgrade from VPS to Dedicated, and the behavioral patterns that separate a hobbyist from a mission-critical enterprise buyer. You’ll build and operationalize LTV and churn models, develop marketing attribution approaches, and partner across Marketing, Product, RevOps, and Finance. You will also help hire and lead a reporting team, setting the standard for metrics, dashboards, and governance in Power BI. This Job is For You If: • You speak "Finance" and "Creative" fluently. You can explain $LTV$ to a CFO and conversion attribution to a Copywriter without losing the soul of either., • You are a "Pattern Hunter." You don't just report that churn happened; you find the "Silent Churn" indicators three months before the customer even thinks about canceling., • You loathe "Vanity Metrics." You find no joy in "Total Page Views." You live for Contribution Margin and Cohort Payback Periods., • You’re a Power BI Poet. Your DAX is elegant, your star schemas are pristine, and your dashboards tell a story so clear that an executive can understand the "Why" in under ten seconds. What You’ll Do, • Subscription Economics & LTV Modeling: Build predictive LTV models accounting for upgrades, churn, and margin. Develop payback and CAC views to support budget allocation and align with Finance on contribution LTV and time horizons., • Expansion Strategy (Upsell & Cross-sell): Model the triggers and pathways for account expansion. Develop propensity-to-buy models for add-ons (security, storage, backups) and build data-driven upgrade paths (e.g., VPS to Dedicated) to maximize customer wallet share., • ICP & Segmentation Modeling: Define and operationalize ICP segmentation using firmographic, behavioral, and intent signals. Create a decision framework to quantify ICP-specific retention, plan mix, and support costs., • Attribution & Measurement: Design multi-touch attribution (MTA) models calibrated with incrementality methods like geo-tests and holdouts. Improve full-funnel measurement from first touch through activation and retention., • Data Foundation & Reliability: Partner with Marketing Ops to ensure clean event tracking (GTM, dataLayer, UTMs). You'll be the guardian of the dataLayer, ensuring that what we see in GTM actually reflects reality in Snowflake., • Power BI Reporting & Governance: Own executive-ready reporting, including KPI scorecards and cohort views. Maintain semantic models using DAX, ensuring star schema design, query folding, and incremental refreshes for scalability., • Team Leadership: Help hire and coach a reporting and analytics team. Establish operating rhythms (WBR/QBR) and set standards for dashboard design, documentation, and storytelling. What Success Looks Like (6–12 Months), • Liquid Web utilizes a defensible LTV and payback model for all spend decisions., • LTV:CAC and payback are reported accurately by both ICP and channel., • Expansion metrics (upsell/cross-sell velocity and attachment rates) are visible and actionable for Marketing and Sales., • Power BI serves as the governed, trusted "source of truth" across the organization. Required Qualifications, • Experience: 5+ years in Data Science or Growth Analytics within a subscription-based business., • Modeling: Proven track record building LTV, churn, and ICP segmentation models tied to revenue outcomes., • Revenue Growth: Demonstrated ability to analyze and optimize upsell/cross-sell funnels and product attachment rates., • Tech Stack: Advanced SQL and proficiency in Python/R. Expert-level Power BI (DAX and semantic modeling) and experience with Snowflake (or similar cloud warehouses)., • Instrumentation: Familiarity with GTM tags, event schemas, and the flow of web/billing data into a warehouse., • Communication: Strong cross-functional leadership and executive-ready presentation skills. Nice-to-Have, • Experience in hosting, cloud infrastructure, or developer-led products., • Pricing and packaging analytics (promo impact, add-on attachment)., • Knowledge of privacy-centric measurement (server-side tagging, modeled conversions). Working Style, • Builder Mindset: Comfortable moving from messy data to reliable, automated systems., • The "So What?" Specialist: You never deliver a chart without an insight. You understand that data without a recommendation is just noise., • Pragmatic:

Job Description Senior Data Scientist, Computer Vision & Product Strategy Location: Atlanta, GA (Hybrid/remote) Employment Type: Full-Time About TURNBRIDGE TURNBRIDGE delivers precision-driven technical solutions and talent strategies that accelerate business outcomes. We connect exceptional talent with innovative organizations, helping teams solve complex challenges through technology, data, and AI-driven solutions. Role Overview We are seeking a highly experienced Senior Data Scientist to lead the evolution of a cutting-edge Computer Vision platform in a hybrid technical leadership and product ownership role. This position combines deep expertise in data science, machine learning, and computer vision with strategic product management responsibilities. You will define the technical direction of computer vision applications, guide AI/ML innovation, own product vision and roadmap execution, and lead cross-functional teams to deliver scalable, enterprise-grade solutions that generate measurable business value. Key Responsibilities Data Science & Computer Vision Leadership Lead the technical strategy for a mobile Computer Vision SDK, enabling intelligent image capture through real-time quality assessment, image validation, augmented reality guidance, and user coaching. Drive the design and ongoing optimization of image processing pipelines that transform raw image captures into actionable operational insights in near real-time. Guide development of a scalable backend platform for configuring, managing, and deploying image processing workflows across multiple business use cases. Define and operationalize KPI frameworks that convert image recognition outputs into reliable business metrics, dashboards, and decision-support insights. Partner with product and engineering teams to integrate computer vision capabilities across multiple applications and platforms. Collaborate with data engineering and analytics teams to enable enterprise-wide access to image recognition insights through modern data platforms and AI-powered experiences. Establish standards for model evaluation, benchmarking, quality assurance, drift monitoring, experimentation, and continuous improvement. Research and implement emerging computer vision and machine learning technologies, including foundation models, self-supervised learning, synthetic data generation, and edge AI optimization. Serve as the subject matter expert for model validation, experimentation, performance analysis, and solution design. Product Vision, Strategy & Execution Define and own the vision, strategy, and roadmap for the computer vision product portfolio, including SDKs, image-processing services, and business rules engines. Establish and drive product objectives and key results (OKRs) aligned to measurable business outcomes. Lead product discovery efforts through stakeholder engagement, user research, workflow analysis, and market evaluation. Own product backlog prioritization, balancing customer value, strategic alignment, technical considerations, and delivery effort. Define and monitor key product success metrics, including adoption, model accuracy, user engagement, operational impact, and time-to-value. Create and maintain product artifacts such as business cases, product requirements documents (PRDs), roadmaps, release communications, and executive updates. Act as the primary bridge between business stakeholders, technical teams, and leadership to ensure alignment and successful product delivery. Develop value realization plans that support adoption, user enablement, training, and measurable ROI. AI Vendor & Data Asset Management Manage relationships with external AI, machine learning, and image recognition technology providers. Establish and maintain service-level expectations for model performance, accuracy, retraining cadence, and issue resolution. Oversee image datasets, reference assets, metadata, and catalog governance to ensure data quality and consistency. Evaluate model performance using quantitative methods and challenge assumptions through rigorous testing and analysis. Assess emerging technologies, partners, and vendors to ensure a best-in-class computer vision ecosystem. What You'll Gain End-to-end ownership of AI and machine learning products operating at enterprise scale. Experience leading advanced computer vision initiatives from concept through production. Exposure to emerging trends in machine learning, edge AI, image recognition, and generative AI technologies. Opportunities to blend technical leadership with strategic product management responsibilities. Collaboration with cross-functional teams driving innovation, digital transformation, and operational excellence. Required Qualifications Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field (or equivalent practical experience). 7+ years of experience in data science, machine learning, or artificial intelligence. 3+ years of hands-on experience in computer vision, including object detection, image classification, segmentation, OCR, or related technologies. Proven experience leading technical teams and delivering ML/AI solutions in production environments. Strong programming skills in Python and experience with modern machine learning frameworks such as PyTorch, TensorFlow, OpenCV, or Hugging Face. Deep understanding of the machine learning lifecycle, including model development, deployment, monitoring, maintenance, and optimization. Experience defining product KPIs, OKRs, and outcome-driven roadmaps. Strong stakeholder management, communication, and cross-functional leadership skills. Experience managing third-party technology vendors, strategic partners, and service-level agreements. Preferred Qualifications Experience serving as a Product Owner, Product Manager, or technical product leader within an AI/ML environment. Experience designing and scaling image recognition or computer vision platforms. Knowledge of SDK architecture, API-first product development, and developer experience best practices. Familiarity with business rules engines, workflow automation, and decision intelligence platforms. Experience with cloud-native architectures, preferably Microsoft Azure. Experience with Databricks, containerization, CI/CD pipelines, and MLOps practices. Exposure to generative AI, foundation models, and multimodal AI systems. Experience supporting retail, logistics, supply chain, field operations, manufacturing, or enterprise operational environments. Professional & Interpersonal Skills Strategic thinker who balances long-term vision with practical execution. Ability to communicate effectively with executive leadership, business stakeholders, engineers, and data scientists. Strong analytical and problem-solving skills with a data-driven mindset. Comfortable operating in ambiguous, fast-moving environments. Proven ability to influence without direct authority across multiple teams and functions. Collaborative leadership style with a passion for innovation and continuous improvement. Excellent written, verbal, and presentation skills. Commitment to fostering an inclusive, diverse, and high-performing workplace culture. Why TURNBRIDGE? Work on cutting-edge AI, machine learning, and computer vision initiatives. Influence both product strategy and technical direction. Collaborate with highly skilled engineers, data scientists, and business leaders. Drive measurable business impact through innovative technology solutions. Join a culture focused on excellence, accountability, collaboration, and continuous innovation. Ready to make an impact? Apply today and help shape the future of AI-powered computer vision solutions.

Why UKG: At UKG, the work you do matters. The code you ship, the decisions you make, and the care you show a customer all add up to real impact. Today, tens of millions of workers start and end their days with our workforce operating platform. Helping people get paid, grow in their careers, and shape the future of their industries. That’s what we do.We never stop learning. We never stop challenging the norm. We push for better, and we celebrate the wins along the way. Here, you’ll get flexibility that’s real, benefits you can count on, and a team that succeeds together. Because at UKG, your work matters—and so do you.About the Role:At UKG, we are at the forefront of innovation leading the next wave of disruption in the Human Capital Management industry. With our unparalleled dataset — the most complete view into our customers' workforce — we are uniquely positioned to build AI-powered solutions that fundamentally change how businesses manage their people. Our Data Science team sits at the intersection of cutting-edge research and real-world impact, building models and intelligent systems at scale that serve millions of employees and managers every day.We are looking for a Senior Staff Data Scientist (P5) who will set the multi-year, multi-team technical strategy and deliver it through direct implementation and broad technical leadership. Operating at portfolio scope, you will influence roadmaps across multiple teams, drive step-change improvements in our Data Science capabilities, and serve as a recognized authority whose decisions shape how data science is practiced across the organization.RESPONSIBILITIESTechnical strategy & vision: Define and own the long-term Data Science technical strategy — the multi-year roadmap for platform capabilities, tooling investments, and methodology evolution. Anticipate challenges and opportunities over multi-year horizon and build stakeholder alignment for strategic initiatives. Align Data Science capabilities with broader business strategy.Architecture & systems design: Design coherent, multi-team architecture that enable DATA SCIENCE work across the organization. Create architectural patterns adopted broadly, anticipating scale and evolution needs to minimize rework as the organization grows. Review and guide critical architecture decisions across the portfolio.Results & end-to-end ownership: Identify portfolio wide improvement opportunities. Execute large-scale projects spanning multiple teams and value streams with year-long horizons. Drive step-change improvements in DS capabilities. Own decisions with area-wide impact and create scalable solutions that reduce toil across the organization.Decision-making & judgment: Make org-level decisions balancing multiple competing interests. Avoid locally optimal decisions that create downstream costs. Create frameworks that enable others to make consistently good decisions. Evaluate major technology investments — build vs. buy, vendor selection, and platform commitments.AI & ML craft leadership: Define org-wide standards for AI and ML development — selecting frameworks and architectural patterns teams should follow. Evaluate emerging AI/ML frameworks across the industry and drive adoption of high-value tools. Create evaluation frameworks and best practices for agentic systems. Champion experimentation with novel AI architectures.Business acumen & stakeholder influence: Develop a deep understanding of UKG's business model and competitive strategy. Translate business needs into DS investments, identifying which ML capabilities would most accelerate business goals. Influence business decisions with DS insights at the executive level. Influence roadmaps across multiple teams for measurable business impact.Mentorship & talent development: Mentor senior ICs; spread knowledge across teams. Be active in senior hiring and build the DS talent pipeline. Shape org-wide learning and development strategy. Model continuous learning by seeking feedback from diverse sources including senior leaders and peers at peer companies.Innovation & agility: Remain resilient through significant organizational change and help the organization navigate uncertainty. Push boundaries with breakthrough approaches. Connect emerging technologies to business opportunities and create space for innovation across teams. *UKG is unable to offer sponsorship for this position.*About you,MINIMUM QUALIFICATIONSPhD in a quantitative field plus 5+ years of industry experience, or Master's degree plus 10+ years of experience in data science, machine learning, or a closely related discipline.Expert-level fluency in multiple DS specialty areas — generative AI, agentic AI systems, LLMs and foundation models, deep learning, time-series forecasting, regression, classification, or NLP. Demonstrated ability to own and drive multi-year technical strategy spanning multiple teams and product areas, with measurable impact across value streams.Proven ability to influence roadmaps, platform decisions, and cross-functional teams — including product, engineering, and senior leadership — without direct managerial authority.Advanced programming skills in Python; fluency in ML frameworks (PyTorch, TensorFlow), data tools (Pandas, NumPy, SQL), and cloud platforms such as GCP / Agent Platform and BigQuery, or equivalent. Experience ensuring data quality and governance at organizational scale; influencing data strategy across multiple teams.Exceptional ability to communicate architectural tradeoffs, multi-year strategy, and quantitative results to both technical peers and executive stakeholders.Experience with model fine-tuning (SLMs, RLHF, distillation), multi-modal architectures, or advanced retrieval-augmented generation (RAG) systems.PREFERRED QUALIFICATIONSAdvanced knowledge of GCP technologies: Agent Platform, BigQuery, GKE, Dataflow, or equivalent infrastructure for large-scale ML workloads.Hands-on experience designing and productionizing multi-agent systems using agentic frameworks (e.g., LangGraph, Model Context Protocol) and defining best practices for their org-wide adoption.Experience across multiple HCM product domains (e.g., Workforce Management, Talent & Recruiting, Pay & Compensation, People ) with insight into how DS drives value differently across each.Experience setting org-wide coding standards and creating foundational libraries and frameworks.Familiarity with responsible AI principles: fairness, interpretability, privacy-preserving ML, and model risk management at scale. Company Overview:UKG is the Workforce Operating Platform that puts workforce understanding to work. With the world's largest collection of workforce insights, and people-first AI, our ability to reveal unseen ways to build trust, amplify productivity, and empower talent, is unmatched. It's this expertise that equips our customers with the intelligence to solve any challenge in any industry — because great organizations know their workforce is their competitive edge. Learn more at ukg.com.Equal Opportunity Employer UKG is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, disability, religion, sex, age, national origin, veteran status, genetic information, and other legally protected categories.View The EEO Know Your Rights posterUKG participates in E-Verify. View the E-Verify posters here. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Disability Accommodation in the Application and Interview ProcessFor individuals with disabilities that need additional assistance at any point in the application and interview process, please email UKGCareers@ukg.com. The pay range for this position is $145,600 to $209,300. The actual base pay offered may vary depending on skills, experience, job-related knowledge and work location. In addition to base pay, employees may be eligible to participate in a performance-based bonus plan and to receive restricted stock unit awards as part of total compensation. Learn more about UKG’s benefits and rewards at Job ID:SRSTA018736Employment Type:RegularWork Style:hybridLocation:Lowell,MA,United States, Atlanta,GA,United StatesTravel:Up to 25%Role:Sr. Staff Data Scientist- EngDepartment:Software & Product Development

ABOUT THIS POSITIONDesigns, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement. Interacts with product and service teams to identify questions and issues for data analysis and experiments. Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers. Incumbents whose primary role is technical and focused on data storage, warehousing and systems architecture should be matched to Database Engineering or Storage Engineering. Incumbents whose focus is the quantitative analysis of complex business problems and issues using data from internal and external sources to provide insight to decision-makers should be matched to Business Intelligence. Incumbents whose primary role is technical and focused on designing and building system-generated reports, reporting tools and dashboards for data generation should be matched to Data Informatics. Incumbents whose focus is primarily on experimental design and advanced or complex statistical analysis and modeling of datasets should be matched to Statistician/Mathematician. This is a product engineering role in which employees work with multiple types of business data. Incumbents whose focus is primarily on analysis and modeling of financial, marketing or pricing data should be matched to Finance, Market Research or Pricing as appropriate. May be internal operations-focused or external client-focused, working in conjunction with Professional Services and outsourcing functions.WHAT YOU'LL DO Lead the design, development, and implementation of sophisticated machine learning models and predictive analytics solutions to solve critical business problems. Mentor and guide junior data scientists, fostering a culture of excellence and continuous learning within the team. Collaborate with cross-functional teams (engineering, product, business stakeholders) to define data science project requirements, scope, and deliverables. Conduct in-depth data exploration, analysis, and visualization to identify trends, patterns, and anomalies, presenting findings clearly and concisely to diverse audiences. Develop and maintain robust data pipelines and infrastructure in collaboration with data engineers to ensure data quality, accessibility, and integrity. Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence, evaluating and recommending new technologies and methodologies. Contribute to the strategic direction of Waystar's data science initiatives, identifying opportunities for innovation and impact. Champion data-driven decision-making throughout the company, educating and influencing stakeholders on the power of data science. Evaluate and select appropriate statistical methods and machine learning algorithms for various business challenges, ensuring rigor and validity.WHAT YOU'LL NEED Master's or Ph.D. in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field. 8+ years of progressive experience in data science, with a proven track record of delivering impactful data-driven solutions in a fast-paced environment. Expert-level proficiency in Python and/or R for data manipulation, statistical analysis, and machine learning model development. Extensive experience with various machine learning techniques (e.g., supervised, unsupervised, reinforcement learning, deep learning) and their practical applications. Strong understanding of statistical modeling, experimental design, hypothesis testing, and causal inference. Proficiency in SQL for data querying and manipulation, with experience working with large-scale datasets. Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop) is highly desirable. Excellent communication, presentation, and interpersonal skills, with the ability to explain complex technical concepts to non-technical stakeholders. Demonstrated ability to lead projects, mentor team members, and drive successful outcomes.* Prior experience in the healthcare technology or financial services industry is a plus.ABOUT WAYSTARThrough a smart platform and better experience, Waystar helps providers simplify healthcare payments and yield powerful results throughout the complete revenue cycle.Waystar’s healthcare payments platform combines innovative, cloud-based technology, robust data, and unparalleled client support to streamline workflows and improve financials so providers can focus on what matters most: their patients and communities. Waystar is trusted by 1M+ providers, 1K+ hospitals and health systems, and is connected to over 5K commercial and Medicaid/Medicare payers. We are deeply committed to living out our organizational values: honesty; kindness; passion; curiosity; fanatical focus; best work, always; making it happen; and joyful, optimistic & fun.Waystar products have won multiple Best in KLAS or Category Leader awards since 2010 and earned multiple #1 rankings from Black Book surveys since 2012. The Waystar platform supports more than 500,000 providers, 1,000 health systems and hospitals, and 5,000 payers and health plans. For more information, visit waystar.com or follow @Waystar on Twitter. WAYSTAR PERKSCompetitive total rewards (base salary + bonus, if applicable)Customizable benefits package (3 medical plans with Health Saving Account company match)We offer generous paid time off for our non-exempt team members, starting with 3 weeks + 13 paid holidays, including 2 personal floating holidays. We also offer flexible time off for our exempt team members + 13 paid holidaysPaid parental leave (including maternity + paternity leave)Education assistance opportunities and free LinkedIn Learning accessFree mental health and family planning programs, including adoption assistance and fertility support401(K) program with company matchPet insuranceEmployee resource groupsWaystar is proud to be an equal opportunity workplace. We celebrate, value, and support diversity and inclusion. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, marital status, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.SummaryLocation: Lehi, UT; Atlanta, GAType: Full time

QUALIFICATIONSAdvanced degree in applied math, economics, statistics or other quantitative science5+ years of experience in the field of consulting and/or development, retail pricing or promotional management with experience in practical data analysisExperience with advanced analytics techniques to model, forecast, and optimize decisions, particularly in pricing and promotions; includes econometric modeling, ML modeling techniques XGBoost and decision trees, and use of a Solver for optimizationExperience developing analytical solutions for internal or external usageAdvanced knowledge in statistical packages and comfort working with teams that make heavy use of Python and RExperience in collaborating with a team of statistical analystsHighly proficient at problem-solving challenging business issues with clients and McKinsey consultantsAbility to juggle overlapping and frequent challenging commitment timelines and reprioritize as necessary to meet evolving business objectivesExcellent communication and influencing skills that can be employed when partnering with clients and other partners to build relationships and achieve goalsAbility to critically evaluate and communicate business issues/risks with conviction to clients and partnersWHO YOU'LL WORK WITHDriving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues—at all levels—will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else.When you join us, you will have:Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.WHAT YOU'LL DOAs a Senior Data Scientist and Analytics Product Owner for Consumer-Packaged Goods (CPG) clients, your role will include a broad set of responsibilities to drive internal data science and product development teams, along with client facing roles across the following topics.You will focus on Innovation Leadership and help drive an innovation agenda for CPG Analytics across sciences, talent and tools by defining analytics use cases and aligning with a partner stakeholder group on the prioritization. This includes contributing to the roadmap for analytical code innovation, including bringing in additional analytical features, use of alternative modeling or AI/ML approaches and automation of Analytics at scale. Driving and overseeing some of the key architectural decisions as they relate to Analytics, from modeling to forecasting to optimization. Evaluating the benefits and risks of alternative modeling platforms and technologies and making recommendations for future use.You will provide expert leadership in client projects through engaging directly with clients and consulting teams to bring expertise to the specific engagement. Examples include working with consulting teams to shape analytics approach, review data sciences insights, and help finalize client facing recommendations to optimize impact of insight. Developing client specific recommendations on project approach and drawing from insights across clients to support proposal phases. Coaching clients, consulting team members and Periscope leads to drive knowledge and adoption of analytical best practices for the greatest impact.You will work with our Periscope Retail and CPG solutions teams to drive analytical innovation while also engaging clients & McKinsey consulting teams with in-project expert leadership. You will have the opportunity to drive industry defining innovation and apply that innovation to client situations where you can further refine and scale your ideas.Founded in 2007, Periscope by McKinsey enables better commercial decisions by developing in-house analytical approaches and software to uncovering actionable insights for our clients. The Periscope platform combines world leading intellectual property, prescriptive analytics, and cloud-based tools focused on B2C, CPG, and B2B commercial excellence, including pricing, promotions and assortment. Periscope experts work closely with clients to embed these solutions into operational IT environments and work closely with McKinsey’s Marketing & Sales consultants to transform client business processes to deliver revenue growth both now and in the future. You can learn more about how Periscope’s solutions and experts are helping businesses continually drive better performance by visiting .McKinsey’s Periscope is helping to shift our Marketing & Sales Consulting model toward asset-based consulting and is a foundation for, and expands our investment in, our entrepreneurial culture. Through innovative software-as-a-service solutions, strategic acquisitions, and a vibrant ecosystem of alliances, we are redefining what it means for clients to work with McKinsey for growth.

Job DescriptionDescription: U.S. Soccer Overview The U.S. Soccer Federation exists in service to soccer. Our aim is to ignite a national passion for the game. Because we believe that soccer is more than a sport; it is a force for good. We understand the importance and the power of teamwork, on and off the pitch. That is why we work closely with our Federation partners and members, to inspire, support and guide every level of the game: from the grassroots to the National Teams. We want to bring soccer into every home and every community, right across America. Because we believe that soccer can transform lives like no other sport. Soccer can represent the best of U.S. U.S. Soccer is in a period of significant growth, with ambitious plans for U.S. Soccer in the near and far future. We are, therefore, looking for dynamic servant leaders to join us on this journey: in service to soccer. Applicants must be able to demonstrate visionary leadership, analytical decision-making, professional flexibility, and an empathic management style that builds bold teams and delivers globally significant results. Position Description U.S. Soccer is seeking a collaborative and growth-oriented Senior Performance Coach to support the Women’s Youth National Teams. As a member of the Integrated Performance Support (IPS) department, this role will contribute to the delivery and continuous evolution of integrated performance practices through a female lens across camps, competitions, and other player development environments. Emphasizing that the female lens is at the heart of everything we do, this role aligns with the WNT strategy while integrating an interdisciplinary approach. This position will collaborate closely with Performance Medicine, Performance Nutrition, Performance & Data Analytics, Performance Innovation, and Technical staff to optimize player availability, development, and performance. The Senior Performance Coach will support the design and implementation of evidence-informed physical preparation strategies, including readiness and load monitoring, physical testing, strength and conditioning, recovery, and performance planning through a female lens. In partnership with coaches and IPS colleagues, this role will help create world-class player experiences that support both team success and long-term player development. A key focus of this position will be advancing U.S. Soccer’s commitment to becoming world-leading in female health, development, and performance. Working within the Arthur M. Blank National Training Center, the Senior Performance Coach will contribute to the development of integrated systems, innovative practices, and environments that elevate player care across the Women’s Youth National Team pathway. The ideal candidate is an intellectually curious practitioner and strong teammate who thrives in collaborative, fast-paced environments, embraces innovation, and is passionate about supporting the growth of elite female players. Primary Responsibilities Integrated Performance Delivery • Support the delivery of integrated performance services across the U19-U20 Women’s National Team environments, including domestic and international camps and competitions., • Contribute to the design and implementation of individual and team-based performance strategies that optimize player availability, development, and performance., • Collaborate closely with technical staff on training design, competition preparation, recovery, and long-term player development., • Collaborate with WNT, U23 and other WYNT technical, performance, and medical staff to align club, college, and country communications, facilitate the exchange of information, and promote continuity of player care, to ensure smooth player transitions between club and country environments., • Travel with Youth National Teams to provide on-site performance support. Female Health & Performance • Advance U.S. Soccer’s commitment to becoming world-leading in female health, development, and performance., • Support initiatives related to growth and maturation, female health, injury-risk reduction, and long-term player development., • Collaborate with performance medicine, performance nutrition, and technical staff to optimize player readiness and availability. Physical Preparation & Performance Science • Support the design and implementation of physical preparation programs (using Teamworks AMS), including strength and conditioning, recovery, and load management strategies., • Oversee player monitoring, physical testing, and performance profiling systems to support evidence-informed decision-making., • Utilize technologies including PlayerData GPS, VALD performance tools, OURA, FitrWoman, Raw Stadia, and a growing portfolio of technologies to support health and performance., • Translate objective performance data into actionable insights for players, coaches, and IPS staff., • Contribute to the ongoing development of best practices in performance science across the women’s pathway. Integrated Performance Support Collaboration • Serve as a key member of the Integrated Performance Support (IPS) team, supporting world-class player care and performance services., • Collaborate with Performance Medicine, Performance Nutrition, Performance & Data Analytics, Performance Innovation, and technical staff to support integrated decision-making and player development., • Execute and continuously improve performance methodologies, testing protocols, and operational standards across camps and competitions., • Contribute to a culture of curiosity, collaboration, accountability, and continuous learning., • Support the onboarding and development of network practitioners and interns as needed. Data, Analytics & Innovation • Oversee the collection, interpretation, communication, and storage of player performance data in accordance with U.S. Soccer standards., • Partner with analytics and innovation teams to develop and implement novel approaches to player monitoring and decision-making., • Support longitudinal player profiling and talent development initiatives across the Women’s pathway., • Build and maintain relationships with clubs, universities, and external partners to facilitate the exchange of performance information and best practices., • Contribute to the National Training Center as a world-class environment for integrated athlete support, innovation, and organizational learning.Requirements: Minimum Qualifications • Master’s degree or higher in Sport Science, Exercise Physiology, Kinesiology, Strength & Conditioning, or related field., • Demonstrated experience supporting elite female athletes and/or female teams., • Certified Strength & Conditioning Specialist (CSCS), Certified Performance & Sport Scientist (CPSS), or equivalent international certification., • Minimum of 3–5 years of experience working in elite sport environments, including professional clubs, collegiate athletics, academies, or national teams., • Strong understanding of soccer and the physical demands of the international game., • Experience working within multidisciplinary and integrated performance environments., • Significant experience with athlete monitoring and performance technologies, including GPS, force plates, athlete management systems, and wellness platforms., • Ability to synthesize objective data and translate insights into practical recommendations for players, coaches, and staff., • Strong communication, planning, and organizational skills., • Capable of working in fast-paced and demanding environments., • Must be able to connect “micro” details to the “macro” vision and mission., • Proficient experience with Microsoft Suite (Word, PowerPoint, Excel, and Outlook)., • Ability to work non-traditional hours, including evenings, weekends, and extensive domestic and international travel., • Current First Aid and CPR certification. Desired Qualifications • Knowledge of female athlete health, growth and maturation, and long-term athlete development principles., • PhD in Sport Science, Exercise Physiology, Kinesiology, or related fields., • Experience supporting Youth National Teams, professional clubs, or elite female development pathways., • Experience working collaboratively within multidisciplinary teams., • Bilingual (English and Spanish). U.S. Soccer offers a comprehensive compensation package, casual work environment, an inclusive culture, and an atmosphere for professional development. U.S. Soccer is an equal opportunity employer that is committed to diversity, equity, and inclusion, and prohibits discrimination and harassment of any kind on the basis of race, color, sex, religion, national origin, citizenship, pregnancy, sexual orientation, gender identity, age, disability, genetic information, military status, political belief, or any other characteristic protected under the law. This policy applies to all our employment practices within our organization. We strongly encourage women, people of color, LGBTQIA, veterans, parents, and persons with disabilities to apply.

A Brief Overview The Senior Data Scientist has an intimate knowledge of business objectives and works with leadership to provide data science solutions that apply to cross functional teams roadmap. The senior data scientist will mentor team members to cultivate the skills and knowledge necessary to

KPMG is currently seeking a Tax Senior Associate to join our. Assist in managing and implementing multiple projects simultaneously, which include client interviews, computations, analysis, data gathering and coordination of KPMG and client resources.

Expertise in statistics, mathematics, and data analysis techniques. Proficiency in programming languages such as Python, R, or similar for data manipulation and modeling. Strong data modeling skills with experience in building and validating predictive models.

Solution Development - Design and develop algorithms and models to use against large datasets to create business insights; Supports data science projects by conducting effective analysis to solve business problems; Executes tasks with high levels of efficiency and quality; Consults with Data Scienti

We currently have an opportunity for a Data, Application & Automation Delivery Senior to join our growing AI & Data practice. Experience with SQL and relational database concepts, including queries, data structures, integrations, performance, and data quality. Familiarity with data governance, metad

Technical Exploration & Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, pr

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

The Staff Data Engineer is a senior technical leader responsible for designing, building, and operating enterprise-scale data platforms and data products within the Enterprise Data Warehouse (EDW). Proven experience designing enterprise-grade data models, including curated/ADS datasets. Strong under

We're looking for an Associate Data Scientist to help turn complex data into clear, actionable business decisions. You'll develop predictive models using statistical and machine learning techniques, analyze large datasets to surface meaningful patterns, and partner with cross-functional teams to des

We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. VAST Data is the data platform company for the AI era. Designed from the ground up to make AI si

Strong ability to analyze financial data, perform reconciliations, validate reporting accuracy, and identify trends or discrepancies within large data sets. Identify opportunities to improve reporting efficiency, workflows, and data accuracy. Experience with data validation, reconciliation, and oper

Understanding of data governance, data-quality frameworks, or internal controls. As a Data Analyst supporting the Client Group, you'll own the data work behind accurate, reliable client billing. Demonstrated experience reconciling data across systems and investigating and resolving discrepancies.

University, 2027 Summer Games Data Scientist Intern - Atlanta, GA. Throughout the Games, interns receive mentorship from senior leaders, solve problems using Booz Allen’s products and unique e. The summer culminates with a final Challenge Cup competition and presentation to senior leadership.

As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artifi. Across private and public sectors—from fraud detection to cancer research to national intelligence—we ne

As a senior Data Engineer, you know that organizing big data can yield pivotal insights when it’s gathered from disparate sources. As a senior Data Engineer at Booz Allen, you’ll use your expertise to lead data engineering activities on some of the most mission-driven projects in the industry. H

We are seeking a Senior Data Engineer with extensive Capital Markets experience to support the design, development, and implementation of trade lifecycle data solutions. The consultant will be responsible for building cloud-native data pipelines, onboarding complex financial data sources, and suppor

As a Senior Data Engineer, you will be tasked with designing and implementing robust data solutions that support scalable analytics and data-driven decision-making across the company. Lead the design and development of robust data pipelines to ingest, aggregate, and index diverse data sources into o

Build and maintain data pipelines for large and complex datasets, from raw inputs through derived and analysis-ready datasets. Experience implementing CI/CD for data pipelines and IaC (Terraform, CloudFormation); Knowledge of data observability, testing, and data quality frameworks. Maintain high st

As a Senior Data Engineer at Instrumentl, you’ll play a key role in shaping the architecture, improving reliability, and building the systems that power data across the company. What makes you a good fit for the Senior Data Engineer role?. If you would like more information about how your data is

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. Be scrappy to find new sources of audio data and bring it into our ingestion pipeline. Collaborate with others on the AI T