Data scientist jobs in Mesa, AZ

Akkodis is seeking a Data Engineer II that will work on all phases of the software development lifecycle supporting a variety of projects and applications. This role will be a mid-level position, with an expectation of continuing to build technical skills with increasingly more complexity and responsibility on projects. Candidates for this position will have prior experience delivering efficient, secure, high performance, and easy-to-support solutions primarily within the Microsoft suite of technologies. Hybrid 3 days a week onsite in Phoenix, AZ Pay: 48 - 55/hr Essential Functions: Analyze, fix, and test production support tickets for a variety of systems Build ETL which loads complex data warehouse objects including dimensions, hierarchies, fact tables, and aggregates Provide clear and concise explanation and interpretation of the business needs to reach agreement and ensure understanding of needs Work with a cross functional team to understand the business issues or identify opportunities and gather Design and system requirements Build and deploy customer facing Bl solutions (Analysis cubes, Power BI) and build the reporting metadata layer Develop and support data marts and cubes to support functional area data consumers Support and create data pipelines Gather, analyze, and document user reporting and/or data feed requirements Provide escalated support for junior team members Perform any other assigned tasks deemed necessary by management Knowledge, Skills and Abilities: Bachelor's degree in Computer Science or equivalent work experience 3+ years of experience with Microsoft SQL and Microsoft Azure technologies including Power BI 1+ years of experience with Azure Data Lake and Informatica Strong verbal and written communication skills, analytical and decision-making skills, and ability to work on cross-functional teams Solid understanding and usage of source control solutions Change and release management skills Requirements gathering and documentation skills Technical Skills: Databases - MS SQL Server Tools - Visual Studio, SQL Server Management Studio, Azure DevOps, Redgate, Power BI, Azure Data Lake, Azure API Gateway, Informatica Languages - SQL, DAX, PowerShell Other - SharePoint, Microsoft Office Suite, Visio Core Competencies: Communication: Convey information, ideas, and feedback clearly and concisely in an engaging manner that helps others understand and retain the message; listening actively to others. Customer Focus: Place a high priority on the customer's perspective when making decisions and taking action; implementing service practices that meet the customers' and own organization's needs. Driving for Results: Set SMART goals and measure progress; tenaciously working to meet or exceed goals and making continuous improvement. Seeking innovative ways to solve problems that result in unique and differentiated solutions. Positive Approach: Demonstrate a positive attitude in the face of difficult or challenging situations; provide an uplifting (yet realistic) outlook on what the future holds and the opportunities it might present. “Benefit offerings include medical, dental, vision, term life insurance, short-term disability insurance, additional voluntary benefits, commuter benefits and 401K plan. Our program provides employees the flexibility to choose the type of coverage that meets their individual needs. Available paid leave may include Paid Sick Leave, where required by law; any other paid leave required by Federal, State or local law; and Holiday pay upon meeting eligibility criteria. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs which are direct hire to a client”

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do - and they push us to ensure we take care of ourselves, each other, and our communities. Job Summary: We are seeking a Senior Data Scientist to build data-driven strategies that enhance the authentication and risk signaling of financial instruments across our platform. In this role, you will analyze large-scale transactional and behavioral data to detect patterns of fraud, identify vulnerabilities, and generate actionable insights to launch risk strategies to mitigate fraud and influence product partners to build product solutions that improve security and user experience without compromising on customer friction. You will collaborate closely with Machine Learning Engineers, product managers, engineers, and cross-functional teams to socialize new ideas and build capabilities. Your work will be critical in shaping scalable, intelligent systems that mitigate fraud while minimizing user friction. Job Description: * BS/BA degree in Mathematics Statistics, Operations Research, Engineering, Economics or related quantitative discipline or equivalent with 6+ years' experience.; Masters degree and 4+ years related professional work experience developing data-driven fraud strategies, leveraging analytical insights to detect patterns, assess risk, and design scalable solutions to combat fraudulent activity. * Proven experience working with large datasets, with strong proficiency in SQL, Python/ R and any data visualization tools. Skilled in conducting deep analytical investigations and solving complex problems, with a solid understanding of machine learning techniques and statistical concepts. * Experience evaluating and integrating third-party data vendors to enhance fraud detection capabilities and strengthen risk signaling. * Ability to translate data-driven insights into relevant stories and make decisions even if the data ambiguous. * Strong understanding of payment systems and e-commerce platforms, with hands-on experience designing and analyzing A/B tests to evaluate and optimize product and risk strategies. * Proven ability to lead projects individually and mentor other junior data scientists. * Excellent analytical, problem-solving, and decision-making skills. * Strong communication skills, both written and verbal, with the ability to present complex information clearly to senior leadership. * Ability to work collaboratively with cross-functional teams and external partners. * Strong organizational skills and attention to detail. Competencies: * Analytical Thinking: Strong analytical skills to assess complex information, identify trends, and make data-driven decisions. * Communication: Excellent communication skills to effectively interact with internal and external stakeholders and present findings to senior leadership. * Problem-Solving: Proactive approach to identifying issues and implementing effective solutions. * Collaboration: Strong ability to work collaboratively with cross-functional teams and external partners to achieve common goals. Preferred Qualification: Subsidiary: PayPal Travel Percent: 0 * PayPal is committed to fair and equitable compensation practices. Actual Compensation is based on various factors including but not limited to work location, and relevant skills and experience. The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit ******************************* The US national annual pay range for this role is $123,500 to $212,850 PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. Any such request is a red flag and likely part of a scam. To learn more about how to identify and avoid recruitment fraud please visit ************************************ For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits: At PayPal, we're committed to building an equitable and inclusive global economy. And we can't do this without our most important asset-you. That's why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you. We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit ******************************* Who We Are: Click Here to learn more about our culture and community. Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at ****************************************. Belonging at PayPal: Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community. We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don't hesitate to apply.

Datavant is a data platform company and the world's leader in health data exchange. Our vision is that every healthcare decision is powered by the right data, at the right time, in the right format. Our platform is powered by the largest, most diverse health data network in the U.S., enabling data to be secure, accessible and usable to inform better health decisions. Datavant is trusted by the world's leading life sciences companies, government agencies, and those who deliver and pay for care. By joining Datavant today, you're stepping onto a high-performing, values-driven team. Together, we're rising to the challenge of tackling some of healthcare's most complex problems with technology-forward solutions. Datavanters bring a diversity of professional, educational and life experiences to realize our bold vision for healthcare. Datavant is looking for an enthusiastic and meticulous Data Scientist to join our growing team, which builds machine learning models for use across Datavant in multiple verticals and for multiple customer types. As part of the Data Science team, you will play a crucial role in developing new product features and automating existing internal processes to drive innovation across Datavant. You will work with tens of millions of patients' worth of healthcare data to develop models, contributing to the entirety of the model development lifecycle from ideation and research to deployment and monitoring. You will collaborate with an experienced team of Data Scientists and Machine Learning Engineers along with application Engineers and Product Managers across the company to achieve Datavant's AI-enabled future. **You Will:** + Play a key role in the success of our products by developing models for NLP (and other) tasks. + Perform error analysis, data cleaning, and other related tasks to improve models. + Collaborate with your team by making recommendations for the development roadmap of a capability. + Work with other data scientists and engineers to optimize machine learning models and insert them into end-to-end pipelines. + Understand product use-cases and define key performance metrics for models according to business requirements. + Set up systems for long-term improvement of models and data quality (e.g. active learning, continuous learning systems, etc.). **What You Will Bring to the Table:** + Advanced degree in computer science, data science, statistics, or a related field, or equivalent work experience. + 4+ years of experience with data science and machine learning in an industry setting. + 4+ years experience with Python. + Experience designing and building NLP models for tasks such as classification, named-entity recognition, and dependency parsing. + Proficiency with standard data analysis toolkits such as SQL, Numpy, Pandas, etc. + Proficiency with deep learning frameworks like PyTorch (preferred) or TensorFlow. + Demonstrated ability to drive results in a team environment and contribute to team decision-making in the face of ambiguity. + Strong time management skills and demonstrable experience of prioritising work to meet tight deadlines. + Initiative and ability to independently explore and research novel topics and concepts as they arise. \#LI-BC1 We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services. The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. The estimated total cash compensation range for this role is: $136,000-$170,000 USD To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here (************************************************** . Know Your Rights (*********************************************************************** , explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, (************************************************************** Id=**********48790029&layout Id=**********48795462) by selecting the 'Interview Accommodation Request' category. You will need your requisition ID when submitting your request, you can find instructions for locating it here (******************************************************************************************************* . Requests for reasonable accommodations will be reviewed on a case-by-case basis. For more information about how we collect and use your data, please review our Privacy Policy (**************************************** .

Insight Global is looking to hire a Data Scientist to join one of the largest non-profit healthcare systems in the US. This position is responsible for ensuring the seamless operation and optimization of our Supply & Service Resource Management (SSRM) data driven insights, solutions, and processes. In this role, you will be responsible for applying your expertise in data analytics, data engineering, machine learning, and modeling to strengthen SSRM data solutions and processes. Your work will directly contribute to improving patient care, operational efficiency, and decision-making within our healthcare organization. Other responsibilities include: Technical Skill Set -Data Preprocessing: Clean, transform, and prepare data for development and analysis within a data warehouse composed of supply chain information. Ensure data quality, integrity, and consistency. -Development: Use Python and SQL to build and maintain automation processes, such as RPA and email bots, utilizing tools like relay servers and workflow schedulers for internal use by a wide range of supply chain professionals. -Data Integration: Design, code, and maintain data pipelines that bring together disparate healthcare data sources, including Electronic Health Records (EHR) systems, Enterprise Resource Planning (ERP) systems, and external data feeds from SFTP servers and APIs with a heavy emphasis on cloud-based solutions. Ensure that data is collected, stored, and processed efficiently for analysis. -Data Analysis: Analyze large and complex healthcare datasets to identify patterns, trends, and anomalies. Use statistical techniques to draw meaningful conclusions from data. -Error Handling: Provide advanced technical support on application performance issues, determine root causes, and implement system fixes and improvements. -Data Architecture: Build data storage, data warehousing, cloud integration, and data modeling strategies to support data analytic initiatives effectively. -Data Visualization: Create compelling data visualizations and dashboards to communicate findings and insights to non-technical stakeholders. -Machine Learning: Develop and implement predictive models, classification algorithms, and other machine learning techniques to solve supply chain oriented problems, such as automating supply chain processes and resource allocation optimization. Development Practices -Coding Standards: Write code that meets internal standards for style, maintainability, and best practices for a high-scale database environment. Maintain and advocate for these standards through code review. -Agile: Work in an agile environment across developers, analysts, project managers, leaders, and stakeholders utilizing Azure DevOps or a similar project management system. -Pair Programming: Actively participate in pair programming sessions with fellow data scientists involving a driver, a person who writes the code, and a navigator, a person who reviews each line of code. -Dynamic Environment: Function independently on multiple programming projects with competing priorities and adapt quickly to new ideas and disparate data environments like Oracle and Redshift. -Data Security and Compliance: Ensure that all data handling and analysis comply with relevant healthcare regulations and protect patient privacy. -Continuous Improvement/Continuous Development (CI/CD): Adopts a continuous improvement culture, seeking to make good processes better and to elevate those that need work. -Research and Development: Stay up-to-date with the latest advancements in healthcare analytics and data science, and actively contribute to the development of innovative solutions. Collaboration and Communication -Collaboration: Collaborate with cross-functional teams, such as, data engineers, SMEs, and IT professionals, to understand data requirements, business objectives, and supply chain workflows. -Stakeholder Interaction: Work collaboratively with various stakeholders of differing backgrounds. Being able to explain complex technical concepts in simple terms. -Presentation: Story-telling with data in a coherent manner to communicate the significance of analysis and findings. -Understanding Business Objectives: Comprehend business requirements behind analysis, which involves actively engaging with stakeholders to grasp their needs, challenges, and objectives. -Reporting: Collaborate to develop and refine reports and ad-hoc queries for presentations that convey key findings and their potential impact on healthcare operations so stakeholders can make informed decisions. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to ********************.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: **************************************************** Skills and Requirements -Experience with Lawson S3 or equivalent procurement system experience. -Proficient in Python and SQL programming languages. -Knowledge of the supply chain and healthcare operations. -Experience with software engineering best practices, such as version control (Git), testing and continuous integrations, to analytics code. -Proficiency in data manipulation and analysis using tools like Pandas and NumPy. -Ability to extract, combine, and organize large data sets and knowledge of databases. -Understanding of machine learning algorithms, model development, and evaluation. -Proficiency in data visualization tools like Tableau, Google Looker, or similar software. -Excellent communication and teamwork skills, with the ability to convey complex technical information to non-technical stakeholders. -5+ years of relevant experience or a Bachelor's Degree in Data Science, Computer Science, Statistics, or a related field. -Master's Degree -Experience with healthcare data, including electronic health records (EHR), supply chain data, and clinical data. -Must be ok working 8:30am - 3:30pm MT.

Job Title: Junior Data Scientist - Multi-Agent Systems, Analytics, and Insights Seniority Level: Intern to Junior Industry: AI and Healthcare SaaS Employment Type: Full-time Mission Transform the way patients and providers communicate through intelligent, data-driven systems. 2025 Goal Support one million patients with real-time AI-powered communication and operational insight. About Peerlogic Peerlogic is redefining front office operations for dental and veterinary practices. Our conversational AI assistant, Aimee, turns every call into a revenue opportunity. We are building the most intelligent patient engagement platform in healthcare-and we're looking for builders who want to help ship high-impact product features powered by data. Role Overview We're hiring a Junior Data Scientist to join our multi-agent systems and product analytics team. This is a product-oriented role-not research-focused-where you'll build features, monitor system performance, recommend improvements, and collaborate with engineering in an agile, fast-paced environment. You'll use data to improve how our AI agents work and scale across thousands of practices. What You Will Own • Build and enhance product features based on LangGraph multi-agent orchestration • Monitor system performance and behavior in production • Investigate and triage bugs or regressions through data analysis • Recommend improvements and automation opportunities • Collaborate with engineers, designers, and product managers in an agile product team • Focus on delivering high-quality, reliable solutions that impact real users Requirements • Master's degree in Data Science, Computer Science, AI, or related field preferred • Equivalent hands-on experience in applied analytics or data-driven product work also considered • Strong Python skills (pandas, NumPy, seaborn, matplotlib); working knowledge of SQL • Comfortable working with production data, debugging with metrics, and making actionable recommendations • Experience with agile development and cross-functional collaboration • Familiarity with LangGraph, LangChain, or AI orchestration tools is a plus • Exceptional communication and a bias toward execution and product delivery Why Peerlogic • Work on real features that ship into production and improve patient experiences • In-office mentorship, fast feedback loops, and close collaboration with senior talent • Competitive compensation and equity • Defined salary progression at 3, 6, and 12 months

Title: Data Scientist Department: Baseball Operations Reporting to: Assistant GM, Baseball Development & Technology Job Classification: Full-time, Exempt Full-time Location (City, State): Mesa, AZ About the A's: The A's are a baseball team founded in 1901. They have a rich history, having won nine World Series championships and 15 American League pennants. The A's are known for pioneering the "Moneyball" approach to team-building, which focuses on using statistical analysis to identify undervalued players. In addition to their success on the field, the A's also have a positive and dynamic work culture. They have been recognized twice as the Front Office Sports, Best Employers in Sports. The A's are defined by their core pillars of being Dynamic, Innovative, and Inclusive. Working for the A's offers the opportunity to be part of an innovative organization that values its employees and strives to create a positive work environment. Description: The A's are hiring for a full-time Data Scientist for the Baseball Operations Department. The Data Scientist will construct statistical models that inform decision-making in all facets of Baseball Operations. This position requires strong experience in statistics, data analytics, and computer science. This position is primarily based out of Mesa, AZ. Responsibilities: Design, build, and maintain predictive models to support player evaluation, acquisition, development, and performance optimization. Collaborate with Baseball Analytics staff to integrate analytical findings into decision-making tools and ensure seamless implementation. Analyze and synthesize large-scale data, creating actionable insights for stakeholders within Baseball Operations. Research and implement advanced statistical methods, including time series modeling, spatial statistics, boosting models, and Bayesian regression, to stay on the cutting edge of sabermetric research. Develop and maintain robust data modeling pipelines and workflows in cloud environments to ensure scalability and reliability of analytical outputs. Produce clear, concise written reports and compelling data visualizations to communicate insights effectively across diverse audiences. Stay current with advancements in data science, statistical methodologies, and player evaluation techniques to identify and propose new opportunities for organizational improvement. Mentor team members within the Baseball Operations department, fostering a collaborative and innovative research environment. Requirements: PhD in Mathematics, Statistics, Computer Science, or a related quantitative field. Proficiency in SQL, R, Python, or other similar programming languages. Strong understanding of modern statistical and machine learning methods, including experience with predictive modeling techniques. Proven experience productionizing machine learning models in cloud environments. Ability to communicate complex analytical concepts effectively to both technical and non-technical audiences. Demonstrated ability to independently design, implement, and present rigorous quantitative research. Passion for sabermetric research and baseball analytics with a deep understanding of player evaluation methodologies. Strong interpersonal and mentoring skills with a demonstrated ability to work collaboratively in a team-oriented environment. Preferred Qualifications: Expertise in time series modeling, spatial statistics, boosting models, and Bayesian regression. Previous experience in sports analytics, ideally baseball, is a plus. Familiarity with integrating biomechanical data into analytical frameworks. The A's Diversity Statement: Diversity Statement Diversity, Equity, and Inclusion are in our organizational DNA. Our commitment to these values is unwavering - on and off the field. Together, we continue to build an inclusive, innovative, and dynamic culture that encourages, supports, and celebrates belonging and amplifies diverse voices. Combining a collaborative and innovative work environment with talented and diverse team members, we've created a workforce in which every team member has the tools to reach their full potential. Equal Opportunity Consideration: We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, age, disability, gender identity, marital or veteran status, or any other protected class.

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

Java Full Stack Developer (Job Code: J2EE) 3 to 10 years of experience developing web based applications in Java/J2EE technologies Knowledge of RDBMS and NoSQL data stores and polyglot persistence (Oracle, MongoDB etc.) Knowledge of event sourcing and distributed message systems (Kafka, RabbitMQ) AngularJS, React, Backbone or other client-side MVC experience Experience with JavaScript build tools and dependency management (npm, bower, grunt, gulp) Experience creating responsive designs (Bootstrap, mobile, etc.) Experience with unit and automation testing (Jasmine, Protractor, JUnit) Expert knowledge of build tools and dependency management (gradle, maven) Knowledge of Domain Driven Design concepts and microservices Participate in software design and development using modern Java and web technology stack. Should be proficient in Spring boot and Angular Sound understanding of Microservices architecture Good understanding of event driven architecture Experience building Web Services (REST/SOAP) Experience in writing©Junit Good to have experience in TDD Expert in developing highly responsive web application using Angular4 or above Good Knowledge of HTML/HTML5/CSS, JavaScript/AJAX, and XML Good understanding of SQL and relational databases and NO SQL databases Familiarity with design patterns and should be able to design small to medium complexity modules independently Experience with Agile or similar development methodologies Experience with a versioning system (e.g., CVS/SVN/Git) Experience with agile development methodologies including TDD, Scrum and Kanban Strong verbal communications, cross-group collaboration skills, analytical, structured and strategic thinking. Great interpersonal skills, cultural awareness, belief in teamwork Collaborating with product owners, stakeholders and potentially globally distributed teams Work cross-functional in an Agile environment Excellent problem-solving, organizational and analytical skills Qualification : BE / B.Tech / MCA / ME / M.Tech **************************** TESt Shift 9 hrs Test Budget 5 hrs

Matrix has been named a Zweig Group 2025 Best Firm to Work For! Matrix Design Group, Inc is actively hiring for an in-office Data Scientist position in our San Antonio, Denver, Colorado Springs or Phoenix offices. As an employee-owned company we are committed to fostering, cultivating, and preserving a culture of diversity, respect, and excellence. We have a friendly, collegial, collaborative atmosphere and offer a full range of benefits including medical, dental, vision, disability, and life insurance; holiday, vacation, and sick leave; training and education; 401(k) and an Employee Stock Ownership Plan (ESOP). We strive to employ highly motivated people capable of creatively applied problem-solving skills who desire to advance personally and professionally. Salary Range: $90,000.00 to $110,000.00 Annually. Salary will be dependent upon experience. Location: San Antonio, Denver, Colorado Springs or Phoenix. (Must be willing to work a hybrid schedule) SUMMARY: Matrix seeks a driven individual to provide Data Science and Business Intelligence support to the firm as part of our Advanced Solutions Division. Support to Advanced Solutions is often related directly or indirectly to the Department of Defense and will include data collection and analysis, leveraging various programming languages to meet client needs, researching and writing unique reports. It may also include data management, exposure to cloud platforms, the use of APIs, and other tasks as assigned. ESSENTIAL FUNCTIONS: Support continuous process improvement and business process reengineering projects through focused application of sound data science, data analysis, and mathematical principles, to include process mapping, data collection, analysis, & visualization Support project execution to include the development of technical documents and presentations and contributing to other project deliverables Support project execution with statistical and other technical skills, to include but not limited to: statistical analysis, simulation, modeling, machine learning, artificial intelligence, or other methods to analyze information and develop practical solutions to business problems; digital dashboard construction, linear regression, parameter estimates, connection of data silos, and process automation Support proposal development by providing technical content and coordinating with others to incorporate the input and feedback of both clients and team members Meet with clients and their representatives as an individual or part of a team to present results, explain complex technical and/or statistical concepts, resolve issues, answer questions, and maintain positive, constructive relations Research areas or issues as assigned and write formal and informal reports of varying lengths focused on summarizing information or persuading readers to support objectives COMPETENCIES Proficiency and demonstrated ability to work independently in statistical analysis, simulation, modeling, machine learning, artificial intelligence, or other methods to analyze information and develop practical solutions to business problems Proficiency in programming tools and languages, to include SQL, Python, R, and APIs Proficiency in data visualization tools (e.g., Power BI, Tableau, R Shiny, and others) Well-versed in use of the Microsoft Office suite of products, to include Power Platform and SharePoint Familiarity with the Department of Defense (DoD) and the Department of the Air Force (DAF) Ability to harness the above in the scraping of PDFs or web for relevant information Strategic thinker with exceptional communication skills (written and oral) and presentation skills, including the ability to synthesize and distill complex topics into concise reports/presentations Possess the ability to explain complex technical information in a manner comprehensible to non-technical audiences Ability and willingness to travel to project sites and other facility offices EDUCATION AND EXPERIENCE: Graduate degree in data science, statistics, operations research, engineering, or related field of study 4 or more years of relevant experience in data science, data management, and/or data analysis, to include internship(s) Valid driver's license, in conjunction with successfully passing the Company's MVR screening Other Duties: Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice. Physical Demands: While performing the duties of this job, the employee is regularly required to sit; use hands to finger, handle, or feel; reach with hands and arms and talk or hear. The employee is occasionally required to stand; walk and stoop, kneel, crouch, or crawl. The employee must occasionally lift and/or move up to 10 pounds. The noise level in the work environment is usually moderate. Matrix Design Group, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, gender, color, religion, sex, national origin, or protected veteran status, and will not be discriminated against based on disability. Any applicant with a qualifying physical or mental disability who believes they require reasonable accommodation for any part of the application process should contact us at ************ for assistance. How to Apply: Please apply online at ****************************************

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates' physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve. Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us! Job Summary This job is responsible for reviewing and interpretating large datasets to uncover revenue generation opportunities and ensuring the development of effective risk management strategies. Key responsibilities include working with lines of business to comprehend problems, utilizing sophisticated analytics and deploying advanced techniques to devise solutions, and presenting recommendations based on findings. Job expectations include demonstrating leadership, resilience, accountability, a disciplined approach, and a commitment to fostering responsible growth for the enterprise. This job is responsible for supporting advanced analytics technical development and the pathway to optimality, scalability, and sustainability in close partnership with Bank of America Technology. This work closely integrates with business efforts to improve portfolio risk, profitability, performance forecasting, and operational performance for customer products and related divisions such as credit cards. Key responsibilities include applying knowledge of multiple business and technical-related topics and independently driving strategic improvements, large-scale projects, and initiatives. Job expectations include working with counterparts within the Line of Business, across the technology organization, and risk teams. Client Protection Shared Services - Advanced Analytics is looking for a seasoned and energetic data science leader to join our team as a Lead Data Scientist and help us deliver data science products to the production environment especially for scalable graph analytics. In this role, you will be expected to work on large and complex data science projects. Collaborating with internal strategy, technology, product, and policy partners to deploy advanced analytical solutions with the goal of reducing fraud losses, lowering false positive impacts, improving client experience, and ensuring the Bank minimizes its total cost of fraud. Responsibilities: * Enables business analytics, including data analysis, trend identification, and pattern recognition, using advanced techniques to drive decision making and collection data driven insights * Applies agile practices for project management, solution development, deployment, and maintenance * Develops and reviews technical documentation, capturing the business requirements, and specifications related to the developed analytical solution and implementation in production * Manages multiple priorities and ensures quality and timeliness of work deliverables such as quantitative models, data science products, data analysis reports, or data visualizations, while exhibiting the ability to work independently and in a team environment * Delivers presentations in an engaging and effective manner through in-person and virtual conversations that communicates technical concepts and analysis results to a diverse set of internal stakeholders, and develops professional relationships to foster collaboration on work deliverables * Supports the identification of potential issues and development of controls * Maintains knowledge of the latest advances in the fields of data science and artificial intelligence to support business analytics * Manages a roadmap of data science use cases for technical development and implementation to the production environment in close partnership with Bank of America Technology * Manages relationships with multiple technology platform and development team leaders including alignment of roadmaps, managing projects, and managing risks * Engages business and technology senior leaders on reporting of project/deliverable statuses, opportunity identification, and planning efforts * Oversees development, delivery and quality assurance for data science use cases delivered to the production environment and other areas of the line of business * Performs complex analysis of financial models, market data, financial data, and portfolio trends to understand product performance and improve portfolio risk, profitability, performance forecasting, and operational performance * Coaches and mentors peers to improve proficiency in a variety of systems and serves as a subject matter expert on multiple business and technical-related topics * Identifies business trends based on economic and portfolio conditions and communicates findings to senior management * Supports execution of large scale projects, such as platform conversions or new project integrations by conducting advanced reporting and drawing analytics based insights * Link Analysis/Graph analytics to find and mitigate densely connected fraud networks * Developing and tuning graph algorithms to maximize detection of fraud * Assist with the generation, prioritization, and investigation of fraud rings Required Qualifications: * Minimum of 4 years of experience in data and analytics * Must have familiarity with Graph databases (e.g. TigerGraph, Neo4J) and graph query languages * Must be proficient with SQL and one of SAS, Python, or Java * Critical problem-solving skills including selection of data and deployment of solutions * Proven ability to manage projects, exercise thought leadership and work with limited direction on complex problems to achieve project goals while also leading a broader team * Excellent communication and influencing skills * Thrives in fast-paced and highly dynamic environment * Intellectual curiosity and strong urge to figure out the "whys" of a problem and come up with creative solutions * Expertise handling data across its lifecycle in a variety of formats and storage technologies (e.g., structured, semi-structured, unstructured; graph; hadoop; kafka) * Expertise in data analytics and technical development lifecycles including having coached junior staff Desired Qualifications: * Advanced STEM (Science, Technology, Engineering, Math) degree (Masters or PhD) * 7+ years of experience; work in financial services is very helpful, with preference to fraud, credit, cybersecurity, or other heavily quantitative areas * Deep understanding of graph databases, graph algorithms, and experience developing graph schemas * Understanding of advanced machine learning methodologies including neural networks, ensemble learning like XGB, and other techniques * Proficient with H2O or similar advanced analytical tools * Experience managing multi-year roadmaps, engaging technical and non-technical stakeholders, and leading large cross-functional formal projects * Experience influencing mid to senior (executive) level leaders * Experience managing risk and issue remediation * Understanding of computer science topics like automation, code versioning, computational complexity, parallel processing, requirements gathering, testing methodologies, and development lifecycle models like Agile Skills: * Agile Practices * Application Development * DevOps Practices * Technical Documentation * Written Communications * Artificial Intelligence/Machine Learning * Business Analytics * Data Visualization * Presentation Skills * Risk Management * Adaptability * Collaboration * Consulting * Networking * Policies, Procedures, and Guidelines Management Shift: 1st shift (United States of America) Hours Per Week: 40

**Our Mission** As the world's number 1 job site*, our mission is to help people get jobs. We strive to cultivate an inclusive and accessible workplace where all people feel comfortable being themselves. We're looking to grow our teams with more people who share our enthusiasm for innovation and creating the best experience for job seekers. (*Comscore, Total Visits, March 2025) **Day to Day** At Indeed, our mission is to _Help People Get Jobs_ . We are seeking a visionary Senior Marketing Data Scientist to define and drive our data science endeavors for Indeed's Marketing organization.The Marketing Data Science and Business Intelligence (MDSBI) organization partners with Marketing and collaborates across the SMB, Job Seeker, Brand, Enterprise, and Global Marketing teams. Your role will entail shaping and executing Indeed's AI strategy for Marketing measurement and driving optimal allocation and returns on our Marketing spend. You will guide our organization in pursuing the strategy and, through innovation, make a meaningful impact on the lives of millions of people who use Indeed every day. As AI technology, Marketing and job markets evolve rapidly, your role will be essential in shaping the future of acquisition for both job seekers and employers. **Responsibilities** + Build and improve all components of our Marketing measurement framework including Marketing Mix models, Multi-Touch attribution and Incrementality testing. + Mentor and grow other data scientists, data engineers and Machine Learning Engineers across teams. + Communicates how campaigns, campaign measurement and business outcomes can be transformed with Machine Learning (ML) and AI across the broad organization + Partner with cross-functional teams to implement data-driven solutions that enhance user and marketer experiences + Foster external partnerships, stay updated with industry trends, and ensure our data practices remain at the forefront of technological advancements **Skills/Competencies** + Bachelor's Degree in Computer Science, Mathematics, Statistics + 7+ years of experience in data science, analytics, Machine Learning or a related field + Prior success in deploying impactful Machine Learning solutions to large-scale production systems, while engaging across teams + A deep understanding of machine learning, statistical modelling, and predictive analytics. + Deep understanding of the complexities and tradeoffs of leveraging/deploying ML/AI at scale and experience using LLMs + Proven ability to translate complex data findings into actionable business strategies and experience in collaborating with marketing or product teams to drive business growth + Experience communicating and influencing marketing, technical, and business direction across all levels of a large organization + Knowledge and practical experience working on Deep Learning Libraries (like Torch, Tensorflow, etc.) **Salary Range Transparency** US Remote 154,000 - 224,000 USD per year Austin Metro Area 154,000 - 224,000 USD per year NYC Metro Area 171,000 - 247,000 USD per year Seattle Metro Area 164,000 - 239,000 USD per year San Francisco Bay Area 180,000 - 260,000 USD per year **Salary Range Disclaimer** The base salary range represents the low and high end of the Indeed salary range for this position in the given work location. Actual salaries will vary depending on factors including but not limited to location, experience, and performance. The range(s) listed is just one component of Indeed's total compensation package for employees. Other rewards may include quarterly bonuses, Restricted Stock Units (RSUs), a Paid Time Off policy, and many region-specific benefits. **Benefits - Health, Work/Life Harmony, & Wellbeing** We care about what you care about. We have a multitude of benefits to support Indeedians, as well as their pets, kids, and partners including medical, dental, vision, disability and life insurance. Indeedians are able to enroll in our company's 401k plan, as well as an equity-based incentive program. Indeedians will also receive open paid time off, 11 paid holidays a year and up to 26 weeks of paid parental leave. For more information, select your country and learn more about our employee benefits, program, & perks at **************************************** **Equal Opportunities and Accommodations Statement** Indeed is deeply committed to building a workplace and global community where inclusion is not only valued, but prioritized. We're proud to be an equal opportunity employer, seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, family status, marital status, sexual orientation, national origin, genetics, neuro-diversity, disability, age, or veteran status, or any other non-merit based or legally protected grounds. Indeed provides reasonable accommodations to qualified individuals with disabilities in the employment application process. To request an accommodation, please visit ********************************************** If you are requesting accommodation for an interview, please reach out at least one week in advance of your interview. For more information about our commitment to equal opportunity/affirmative action, please visit our Careers page (******************************** **Inclusion & Belonging** Inclusion and belonging are fundamental to our hiring practices and company culture, forming an integral part of our vision for a better world of work. At Indeed, we're committed to the wellbeing of our employees and on a mission to make this the best place to work and thrive. We believe that fostering an inclusive environment where every employee feels respected and accepted benefits everyone, fueling innovation and creativity. We value diverse experiences, including those who have had prior contact with the criminal legal system. We are committed to providing individuals with criminal records, including formerly incarcerated individuals, a fair chance at employment. Those with military experience are encouraged to apply. Equivalent expertise demonstrated through a combination of work experience, training, military experience, or education is welcome. **Indeed's Employee Recruiting Privacy Policy** Like other employers Indeed uses our own technologies to help us find and attract top talent from around the world. In addition to our site's user and privacy policy found at **************************** , we also want to make you aware of our recruitment specific privacy policy found at ****************************/indeed-jobs . **Agency Disclaimer** Indeed does not pay placement fees for unsolicited resumes or referrals from non-candidates, including search firms, staffing agencies, professional recruiters, fee-based referral services, and recruiting agencies (each individually, an "Agency"), subject to local laws. An Agency seeking a placement fee must obtain advance written approval from Indeed's internal Talent Acquisition team and execute a fee agreement with Indeed for each job opening before making a referral or submitting a resume for that opening. **Reference ID:** **46205** **The deadline to apply to this position is [12/5/2025]. Job postings may be extended at the hiring team's discretion based on applicant volume.** 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. Reference ID: 46205

Recognized as the No. 1 site trusted by real estate professionals, Realtor.com has been at the forefront of online real estate for over 25 years, connecting buyers, sellers, and renters with trusted insights and expert guidance to find their perfect home. Through its robust suite of tools, Realtor.com not only makes a significant impact on the real estate industry at large, but for consumers, navigating the biggest purchase they will make in their life, by providing a user experience that is easy to use, easy to understand, and most of all, easy to make decisions. Join us on our mission to empower more people to find their way home by breaking barriers to entry, making the right connections, and building confidence through expert guidance. Senior Data Scientist The Data Science and Analytics organization at http://realtor.com sits at the heart of our mission. We process and analyze terabytes of data every day that enable decisions for millions of home buyers, sellers, renters, dreamers, and real estate professionals. Our goal is to use this data to make the home buying experience a breeze for our consumers. We empower them with the most up-to-date information on properties, help them find their dream homes in the least amount of time, and match them with the most suitable realtor to meet their unique, individual needs. Role Description We are seeking a Senior Data Scientist with a strong background in experimentation, media analytics, and cross-functional stakeholder support to join our Client Analytics team. In this role, you will analyze large-scale product and media experiments, consolidate and rebuild business-critical metrics, and deliver clear recommendations that inform high-impact decisions across product, media, and finance. The ideal candidate is a detail-oriented executor who thrives on repeatable analytics, enjoys collaborating with partners in product and media, and brings expertise in Python, SQL, and Amplitude (or similar analytics platforms). Responsibilities Partner with business stakeholders to translate experiment questions and business needs into actionable analytics, providing timely and accurate answers on A/B test outcomes, media impact, and product changes. Analyze and report on dozens of product and media experiments each quarter, using Python (pandas, numpy, scipy), SQL, and Excel to clean, aggregate, and interpret data from sources such as Google Ad Manager and Amplitude. Apply standard statistical testing ( e.g. t-tests) to assess significance and produce clear, actionable recommendations (including “no effect” findings) for product, media, and business teams. Set up, monitor, and analyze live experiments in Amplitude or similar product analytics platforms, ensuring correct instrumentation, sample assignment, and data quality. Lead metric consolidation and calculation projects joining multiple data sources and building SQL pipelines for executive-ready business metrics. Document methodologies, assumptions, and recommendations clearly for both technical and non-technical audiences. Respond to ad hoc and recurring requests for experiment analysis, media reporting, and metric deep-dives with precision, speed, and reliability. Balance high experiment throughput with ad hoc media reporting, regularly prioritizing work across multiple stakeholders. Foster a culture of accountability and transparency by ensuring reproducibility, traceability, and clear code documentation in all analytics work. Minimum Qualifications Typically requires a minimum of 5 years of related experience with a Bachelor's degree; or 3 years and a Master's degree; or a PhD without experience; or equivalent work experience Degree in a quantitative field ( e.g. , Statistics, Data Science, Applied Mathematics, Economics, Engineering, Computer Science). Relevant experience as a Data Scientist, Data Analyst, Product Analyst, or similar role, using SQL and Python (pandas, numpy, scipy). Proven track record managing and delivering on high-volume experimentation, media analytics, or product analytics projects with multiple stakeholders. Experience with Amplitude, Mixpanel, or similar product analytics platforms. Strong SQL skills, including experience building and joining complex pipelines; ability to handle large, messy, multi-source data. Proficient in Excel/Google Sheets for quick reporting and ad hoc analysis. Sound understanding of statistical methods for experimentation (randomization, t-tests, confidence intervals, etc.). Excellent written and verbal communication skills, with experience presenting to diverse technical and business audiences. Self-motivated and self-managing, with strong time management, documentation, and organizational skills. Preferred Qualifications Master's or Ph.D. degree in a quantitative field ( e.g. , Statistics, Data Science, Applied Mathematics, Economics, Engineering, Computer Science). Experience in ad tech, media analytics, or digital advertising environments. Familiarity with revenue or monetization analytics. Experience with dashboarding tools ( e.g. , Tableau, Looker). Exposure to real estate, marketplace, or consumer product analytics. Do the best work of your life at Realtor.com Here, you'll partner with a diverse team of experts as you use leading-edge tech to empower everyone to meet a crucial goal: finding their way home. And you'll find your way home too. At Realtor.com , you'll bring your full self to work as you innovate with speed, serve our consumers, and champion your teammates. In return, we'll provide you with a warm, welcoming, and inclusive culture; intellectual challenges; and the development opportunities you need to grow. Diversity is important to us, therefore, Realtor.com is an Equal Opportunity Employer regardless of age, color, national origin, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, marital status, status as a disabled veteran and/or veteran of the Vietnam Era or any other characteristic protected by federal, state or local law. In addition, Realtor.com will provide reasonable accommodations for otherwise qualified disabled individuals.

Recognized as the No. 1 site trusted by real estate professionals, Realtor.com has been at the forefront of online real estate for over 25 years, connecting buyers, sellers, and renters with trusted insights and expert guidance to find their perfect home. Through its robust suite of tools, Realtor.com not only makes a significant impact on the real estate industry at large, but for consumers, navigating the biggest purchase they will make in their life, by providing a user experience that is easy to use, easy to understand, and most of all, easy to make decisions. Join us on our mission to empower more people to find their way home by breaking barriers to entry, making the right connections, and building confidence through expert guidance. Senior Data Scientist The Data Science and Analytics organization at ****************** sits at the heart of our mission. We process and analyze terabytes of data every day that enable decisions for millions of home buyers, sellers, renters, dreamers, and real estate professionals. Our goal is to use this data to make the home buying experience a breeze for our consumers. We empower them with the most up-to-date information on properties, help them find their dream homes in the least amount of time, and match them with the most suitable realtor to meet their unique, individual needs. Role Description We are seeking a Senior Data Scientist with a strong background in experimentation, media analytics, and cross-functional stakeholder support to join our Client Analytics team. In this role, you will analyze large-scale product and media experiments, consolidate and rebuild business-critical metrics, and deliver clear recommendations that inform high-impact decisions across product, media, and finance. The ideal candidate is a detail-oriented executor who thrives on repeatable analytics, enjoys collaborating with partners in product and media, and brings expertise in Python, SQL, and Amplitude (or similar analytics platforms). Responsibilities * Partner with business stakeholders to translate experiment questions and business needs into actionable analytics, providing timely and accurate answers on A/B test outcomes, media impact, and product changes. * Analyze and report on dozens of product and media experiments each quarter, using Python (pandas, numpy, scipy), SQL, and Excel to clean, aggregate, and interpret data from sources such as Google Ad Manager and Amplitude. * Apply standard statistical testing (e.g. t-tests) to assess significance and produce clear, actionable recommendations (including "no effect" findings) for product, media, and business teams. * Set up, monitor, and analyze live experiments in Amplitude or similar product analytics platforms, ensuring correct instrumentation, sample assignment, and data quality. * Lead metric consolidation and calculation projects joining multiple data sources and building SQL pipelines for executive-ready business metrics. * Document methodologies, assumptions, and recommendations clearly for both technical and non-technical audiences. * Respond to ad hoc and recurring requests for experiment analysis, media reporting, and metric deep-dives with precision, speed, and reliability. * Balance high experiment throughput with ad hoc media reporting, regularly prioritizing work across multiple stakeholders. * Foster a culture of accountability and transparency by ensuring reproducibility, traceability, and clear code documentation in all analytics work. Minimum Qualifications * Typically requires a minimum of 5 years of related experience with a Bachelor's degree; or 3 years and a Master's degree; or a PhD without experience; or equivalent work experience * Degree in a quantitative field (e.g., Statistics, Data Science, Applied Mathematics, Economics, Engineering, Computer Science). * Relevant experience as a Data Scientist, Data Analyst, Product Analyst, or similar role, using SQL and Python (pandas, numpy, scipy). * Proven track record managing and delivering on high-volume experimentation, media analytics, or product analytics projects with multiple stakeholders. * Experience with Amplitude, Mixpanel, or similar product analytics platforms. * Strong SQL skills, including experience building and joining complex pipelines; ability to handle large, messy, multi-source data. * Proficient in Excel/Google Sheets for quick reporting and ad hoc analysis. * Sound understanding of statistical methods for experimentation (randomization, t-tests, confidence intervals, etc.). * Excellent written and verbal communication skills, with experience presenting to diverse technical and business audiences. * Self-motivated and self-managing, with strong time management, documentation, and organizational skills. Preferred Qualifications * Master's or Ph.D. degree in a quantitative field (e.g., Statistics, Data Science, Applied Mathematics, Economics, Engineering, Computer Science). * Experience in ad tech, media analytics, or digital advertising environments. * Familiarity with revenue or monetization analytics. * Experience with dashboarding tools (e.g., Tableau, Looker). * Exposure to real estate, marketplace, or consumer product analytics. Do the best work of your life at Realtor.com Here, you'll partner with a diverse team of experts as you use leading-edge tech to empower everyone to meet a crucial goal: finding their way home. And you'll find your way home too. At Realtor.com, you'll bring your full self to work as you innovate with speed, serve our consumers, and champion your teammates. In return, we'll provide you with a warm, welcoming, and inclusive culture; intellectual challenges; and the development opportunities you need to grow. Diversity is important to us, therefore, Realtor.com is an Equal Opportunity Employer regardless of age, color, national origin, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, marital status, status as a disabled veteran and/or veteran of the Vietnam Era or any other characteristic protected by federal, state or local law. In addition, Realtor.com will provide reasonable accommodations for otherwise qualified disabled individuals.

**What Data Science contributes to Cardinal Health** The Data & Analytics Function oversees the analytics lifecycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytics products, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling. Data Science applies base, scientific methodologies from various disciplines, techniques and tools that extracts knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems. This role will support the Major Rugby business unit, a legacy supplier of multi-source, generic pharmaceuticals for over 60 years. Major Rugby provides over 1,000 high-quality, Rx, OTC and vitamin, mineral and supplement products to the acute, retail, government and consumer markets. This role will focus on leveraging advanced analytics, machine learning, and optimization techniques to solve complex challenges related to demand forecasting, inventory optimization, logistics efficiency and risk mitigation. Our goal is to uncover insights and drive meaningful deliverables to improve decision making and business outcomes. **Responsibilities:** + Leads the design, development, and deployment of advanced analytics and machine learning models to solve complex business problems + Collaborates cross-functionally with product, engineering, operations, and business teams to identify opportunities for data-driven decision-making + Translates business requirements into analytical solutions and delivers insights that drive strategic initiatives + Develops and maintains scalable data science solutions, ensuring reproducibility, performance, and maintainability + Evaluates and implements new tools, frameworks, and methodologies to enhance the data science toolkit + Drives experimentation and A/B testing strategies to optimize business outcomes + Mentors junior data scientists and contributes to the development of a high-performing analytics team + Ensures data quality, governance, and compliance with organizational and regulatory standards + Stays current with industry trends, emerging technologies, and best practices in data science and AI + Contributes to the development of internal knowledge bases, documentation, and training materials **Qualifications:** + 8-12 years of experience in data science, analytics, or a related field (preferred) + Advanced degree (Master's or Ph.D.) in Data Science, Computer Science, Engineering, Operations Research, Statistics, or a related discipline preferred + Strong programming skills in Python and SQL; + Proficiency in data visualization tools such as Tableau, or Looker, with a proven ability to translate complex data into clear, actionable business insights + Deep understanding of machine learning, statistical modeling, predictive analytics, and optimization techniques + Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop) is highly desirable + Excellent communication and storytelling skills, with the ability to influence stakeholders and present findings to both technical and non-technical audiences + Experience in Supervised and Unsupervised Machine Learning including Classification, Forecasting, Anomaly Detection, Pattern Detection, Text Mining, using variety of techniques such as Decision trees, Time Series Analysis, Bagging and Boosting algorithms, Neural Networks, Deep Learning and Natural Language processing (NLP). + Experience with PyTorch or other deep learning frameworks + Strong understanding of RESTful APIs and / or data streaming a big plus + Required experience of modern version control (GitHub, Bitbucket) + Hands-on experience with containerization (Docker, Kubernetes, etc.) + Experience with product discovery and design thinking + Experience with Gen AI + Experience with supply chain analytics is preferred **Anticipated salary range:** $123,400 - $176,300 **Bonus eligible:** Yes **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 12/02/2025 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. \#LI-Remote \#LI-AP4 _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

Title: Staff Data Science Consultant - Retail Planning Solutions Travel: Ability to travel across North America up to 50% Overview: Blue Yonder's Professional Services team is seeking a Staff Data Science Consultant (DSC) to join our Retail Planning Solutions group. In this role, you'll partner with customers to unlock the full value of their business through data-driven insights and intelligent decision support. You'll serve as a trusted advisor by recommending software configuration options, implementing optimized solutions, and ensuring our customers achieve maximum value from their Blue Yonder investments. What you'll do: * Algorithm Development: Design, develop, and test algorithms, models, and solution approaches to address business issues with minimal supervision. * Prototype Development: Create prototypes and proofs of concept for new features to demonstrate feasibility and effectiveness. * Integration and Implementation: Embed models and algorithms into product solutions, ensuring operational aspects and client usability are prioritized. * Mentorship: Provide guidance and mentorship to junior data scientists and data analysts within the team. * Quality Assurance: Develop high-quality code and tests, adhering to clean code principles and Blue Yonder's standards. * Customer Collaboration: Engage with clients to understand their needs, present findings, and implement tailored solutions that drive business value. * Continuous Improvement: Stay abreast of advancements in technology and methodologies to continuously improve the team's capabilities. Technical Environment: * Advanced machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn) * Big data processing tools (e.g., Hadoop, Spark) and cloud computing platforms (AWS, Azure, Google Cloud) * Proficiency in programming languages such as Python and R * Experience with CI/CD pipelines for efficient deployment of machine learning models * Familiarity with SQL and data visualization tools (e.g., Tableau, Power BI) What we are looking for: * Advanced degree (PhD or Master's) in Computer Science, Data Science, Operations Research, Statistics, or a related discipline * 8+ years of experience applying data science to solve real-world challenges, with deep expertise in machine learning and operations research in a professional work setting * Proficiency in Python or R, with hands-on experience using modern frameworks such as TensorFlow or PyTorch * Proven track record of leading data-driven projects and mentoring teams to deliver impactful business outcomes * Exceptional ability to translate complex technical concepts into insights that inspire understanding and action across diverse audiences * Recognized thought leadership through publications, patents, or conference contributions is a strong plus * Experience in Retail Supply Chain Management or related domains is highly desirable Comparable title: Staff Data Sciene Consultant I - Consulting * LI-AD1 #LI-remote * ------------------------------------------ The annual salary range for this position is USD $107,321.00 - $143,896.18 The salary range information provided, reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual salary will be commensurate with skills, experience, certifications or licenses and other relevant factors. In addition, this role will be eligible to participate in either the annual performance bonus or commission program, determined by the nature of the position. At Blue Yonder, we care about the wellbeing of our employees and those most important to them. This is reflected in our robust benefits package and options that includes: * Comprehensive Medical, Dental and Vision * 401K with Matching * Flexible Time Off * Corporate Fitness Program * A variety of voluntary benefits such as; Legal Plans, Accident and Hospital Indemnity, Pet Insurance and much more At Blue Yonder, we are committed to a workplace that genuinely fosters inclusion and belonging in which everyone can share their unique voices and talents in a safe space. We continue to be guided by our core values and are proud of our diverse culture as an equal opportunity employer. We understand that your career search may look different than others, and embrace the professional, personal, educational, and volunteer opportunities through which people gain experience. Our Values If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success - and the success of our customers. Does your heart beat like ours? Find out here: Core Values All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

Career Guidant, an internationally acclimed, trusted multi-faced orgiansation into Information Technology Custom Learning Services for Enterprises, Lateral Staffing Solutions, Information Technology Development & Consulting, Infrastructure & Facility Management Services and Technical Content development as core competencies. Our experienced professionals bring a wealth of industry knowledge to each client and operate in a manner that produces superior quality and outstanding results. Career Guidant proven and tested methodologies ensures client satisfaction being the primary objective. Committed to our core values of Client Satisfaction, Professionalism, Teamwork, Respect, and Integrity. Career Guidant with its large network of delivery centres,support offices and Partners across India, Asia Pacific, Middle East, Far East, Europe, USA has committed to render the best service to the client closely to ensure their operation continues to run smoothly. Our Mission "To build Customer satisfaction, and strive to provide complete Information Technology solution you need to stay ahead of your competition" If you have any queries about our services. Job Description • At least 5 years of Design and development experience in Big data, Java or Datawarehousing related technologies • Atleast 3 years of hands on design and development experience on Big data related technologies - PIG, Hive, Mapreduce, HDFS, HBase, Hive, YARN, SPARK, Oozie, Java and shell scripting • Should be a strong communicator and be able to work independently with minimum involvement from client SMEs • Should be able to work in team in diverse/ multiple stakeholder environment Qualifications • Bachelor's degree or foreign equivalent required. Will also consider one year of relevant work experience in lieu of every year of education. Additional Information Note : NO OPT, H1 for this position Client : Infosys

# Job Description: AI Task Evaluation & Statistical Analysis Specialist ## Role Overview We're seeking a data-driven analyst to conduct comprehensive failure analysis on AI agent performance across finance-sector tasks. You'll identify patterns, root causes, and systemic issues in our evaluation framework by analyzing task performance across multiple dimensions (task types, file types, criteria, etc.). ## Key Responsibilities - **Statistical Failure Analysis**: Identify patterns in AI agent failures across task components (prompts, rubrics, templates, file types, tags) - **Root Cause Analysis**: Determine whether failures stem from task design, rubric clarity, file complexity, or agent limitations - **Dimension Analysis**: Analyze performance variations across finance sub-domains, file types, and task categories - **Reporting & Visualization**: Create dashboards and reports highlighting failure clusters, edge cases, and improvement opportunities - **Quality Framework**: Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings - **Stakeholder Communication**: Present insights to data labeling experts and technical teams ## Required Qualifications - **Statistical Expertise**: Strong foundation in statistical analysis, hypothesis testing, and pattern recognition - **Programming**: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis - **Data Analysis**: Experience with exploratory data analysis and creating actionable insights from complex datasets - **AI/ML Familiarity**: Understanding of LLM evaluation methods and quality metrics - **Tools**: Comfortable working with Excel, data visualization tools (Tableau/Looker), and SQL ## Preferred Qualifications - Experience with AI/ML model evaluation or quality assurance - Background in finance or willingness to learn finance domain concepts - Experience with multi-dimensional failure analysis - Familiarity with benchmark datasets and evaluation frameworks - 2-4 years of relevant experience

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page. **Required Skills:** Data Scientist Responsibilities: 1. Apply expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how Meta users interact with our consumer and business products. 2. Mine massive amounts of data and perform large-scale data analysis to extract useful business insights. 3. Develop data pipelines with automated, machine-learning systems that convert noisy core datasets into powerful signals of user behavior. 4. Build models of user behaviors for analysis or to power production systems. 5. Partner with Product and Engineering teams to solve problems and identify trends and opportunities. 6. Design and implement dashboards and reports that track key business metrics and provide actionable insights. 7. Inform, influence, support, and execute our product decisions and product launches by effectively communicating results to cross functional groups. 8. Work across areas of product operations, exploratory analysis, product leadership, and data infrastructure to help shape the future of what we build at Meta. 9. Telecommuting from anywhere in the U.S. allowed. **Minimum Qualifications:** Minimum Qualifications: 10. Bachelor's degree (or foreign equivalent) in Information Technology, Computer Science or related field.Requires completion of a university-level course, research project or internship involving the following 11. Relational database (SQL) 12. Developing in scripting language (Python, R) 13. Large scale data processing infrastructures using distributed systems (Hadoop, Hive) 14. Data Visualization (Tableau) **Public Compensation:** $165,787/year to $196,900/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

**_What Data Science contributes to Cardinal Health_** The Data & Analytics Function oversees the analytics life-cycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling. Data Science applies base, scientific methodologies from various disciplines, techniques and tools that extracts knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems. At Cardinal Health's Artificial Intelligence Center of Excellence (AI CoE), we are pushing the boundaries of healthcare with cutting-edge Data Science and Artificial Intelligence (AI). Our mission is to leverage the power of data to create innovative solutions that improve patient outcomes, streamline operations, and enhance the overall healthcare experience. We are seeking a highly motivated and experienced Senior Data Scientist to join our team as a thought leader and architect of our AI strategy. You will play a critical role in fulfilling our vision through delivery of impactful solutions that drive real-world change. **_Responsibilities_** + Lead the Development of Innovative AI solutions: Be responsible for designing, implementing, and scaling sophisticated AI solutions that address key business challenges within the healthcare industry by leveraging your expertise in areas such as Machine Learning, Generative AI, and RAG Technologies. + Develop advanced ML models for forecasting, classification, risk prediction, and other critical applications. + Explore and leverage the latest Generative AI (GenAI) technologies, including Large Language Models (LLMs), for applications like summarization, generation, classification and extraction. + Build robust Retrieval Augmented Generation (RAG) systems to integrate LLMs with vast repositories of healthcare and business data, ensuring accurate and relevant outputs. + Shape Our AI Strategy: Work closely with key stakeholders across the organization to understand their needs and translate them into actionable AI-driven or AI-powered solutions. + Act as a champion for AI within Cardinal Health, influencing the direction of our technology roadmap and ensuring alignment with our overall business objectives. + Guide and mentor a team of Data Scientists and ML Engineers by providing technical guidance, mentorship, and support to a team of skilled and geographically distributed data scientists, while fostering a collaborative and innovative environment that encourages continuous learning and growth. + Embrace a AI-Driven Culture: foster a culture of data-driven decision-making, promoting the use of AI insights to drive business outcomes and improve customer experience and patient care. **_Qualifications_** + 8-12 years of experience with a minimum of 4 years of experience in data science, with a strong track record of success in developing and deploying complex AI/ML solutions, preferred + Bachelor's degree in related field, or equivalent work experience, preferred + GenAI Proficiency: Deep understanding of Generative AI concepts, including LLMs, RAG technologies, embedding models, prompting techniques, and vector databases, along with evaluating retrievals from RAGs and GenAI models without ground truth + Experience working with building production ready Generative AI Applications involving RAGs, LLM, vector databases and embeddings model. + Extensive knowledge of healthcare data, including clinical data, patient demographics, and claims data. Understanding of HIPAA and other relevant regulations, preferred. + Experience working with cloud platforms like Google Cloud Platform (GCP) for data processing, model training, evaluation, monitoring, deployment and support preferred. + Proven ability to lead data science projects, mentor colleagues, and effectively communicate complex technical concepts to both technical and non-technical audiences preferred. + Proficiency in Python, statistical programming languages, machine learning libraries (Scikit-learn, TensorFlow, PyTorch), cloud platforms, and data engineering tools preferred. + Experience in Cloud Functions, VertexAI, MLFlow, Storage Buckets, IAM Principles and Service Accounts preferred. + Experience in building end-to-end ML pipelines, from data ingestion and feature engineering to model training, deployment, and scaling preferred. + Experience in building and implementing CI/CD pipelines for ML models and other solutions, ensuring seamless integration and deployment in production environments preferred. + Familiarity with RESTful API design and implementation, including building robust APIs to integrate your ML models and GenAI solutions with existing systems preferred. + Working understanding of software engineering patterns, solutions architecture, information architecture, and security architecture with an emphasis on ML/GenAI implementations preferred. + Experience working in Agile development environments, including Scrum or Kanban, and a strong understanding of Agile principles and practices preferred. + Familiarity with DevSecOps principles and practices, incorporating coding standards and security considerations into all stages of the development lifecycle preferred. **_What is expected of you and others at this level_** + Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects + Participates in the development of policies and procedures to achieve specific goals + Recommends new practices, processes, metrics, or models + Works on or may lead complex projects of large scope + Projects may have significant and long-term impact + Provides solutions which may set precedent + Independently determines method for completion of new projects + Receives guidance on overall project objectives + Acts as a mentor to less experienced colleagues **Anticipated salary range:** $121,600 - $173,700 **Bonus eligible:** Yes **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 11/05/2025 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************