Senior data scientist jobs in Glendale, AZ

We are seeking a Data Scientist to support advanced analytics and machine learning initiatives across the organization. This role involves working with large, complex datasets to uncover insights, validate data integrity, and build predictive models. A key focus will be developing and refining machine learning models that leverage sales and operational data to optimize pricing strategies at the store level. Day-to-Day Responsibilities Compare and validate numbers across multiple data systems Investigate discrepancies and understand how metrics are derived Perform data science and data analysis tasks Build and maintain AI/ML models using Python Interpret model results, fine-tune algorithms, and iterate based on findings Validate and reconcile data from different sources to ensure accuracy Work with sales and production data to produce item-level pricing recommendations Support ongoing development of a new data warehouse and create queries as needed Review Power BI dashboards (Power BI expertise not required) Contribute to both ML-focused work and general data science responsibilities Improve and refine an existing ML pricing model already in production Qualifications Strong proficiency with MS SQL Server Experience creating and deploying machine learning models in Python Ability to interpret, evaluate, and fine-tune model outputs Experience validating and reconciling data across systems Strong foundation in machine learning, data modeling, and backend data operations Familiarity with querying and working with evolving data environments

**1\. Role Overview**Mercor is seeking applied data science professionals to support a strategic analytics initiative with a global enterprise. This contract-based opportunity focuses on extracting insights, building statistical models, and informing business decisions through advanced data science techniques. Freelancers will translate complex datasets into actionable outcomes using tools like Python, SQL, and visualization platforms. This short-term engagement emphasizes experimentation, modeling, and stakeholder communication - distinct from production ML engineering. **2\. Key Responsibilities** ● Translate business questions into data science problems and analytical workflows ● Conduct data wrangling, exploratory analysis, and hypothesis testing ● Develop statistical models and predictive tools for decision support ● Create compelling data visualizations and dashboards for business users ● Present findings and recommendations to non-technical stakeholders **3\. Ideal Qualifications** ● 5+ years of applied data science or analytics experience in business settings ● Proficiency in Python or R (pandas, NumPy, Jupyter) and strong SQL skills ● Experience with data visualization tools (e.g., Tableau, Power BI) ● Solid understanding of statistical modeling, experimentation, and A/B testing ● Strong communication skills for translating technical work into strategic insights **4\. More About the Opportunity** ● Remote ● **Expected commitment: min 30 hours/week ● Project duration: ~6 weeks** **5\. Compensation & Contract Terms** ● $75-100/hour ● Paid weekly via Stripe Connect ● You'll be classified as an independent contractor **6\. Application Process** ● Submit your resume followed by domain expertise interview and short form **7.About Mercor** ● Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations ● Our investors include Benchmark, General Catalyst, Adam D'Angelo, Larry Summers, and Jack Dorsey ● Thousands of professionals across domains like law, creatives, engineering, and research have joined Mercor to work on frontier projects shaping the next era of AI

Bachelor's or master's degree in computer science, Data Engineering, Information Systems, or related STEM field. • 5 years of experience in data modeling, data governance and data Architecture roles. • Hands-on experience with GCP, BigQuery, Dataflow, SQL, and Python. • Define domain relationships and build connected entity models • Strong understanding of normalization, dimensional modeling, and data warehousing. • Familiarity with structured and semi-structured data handling. • Attention to detail to ensure the accuracy of the data models and their ability to meet organizational needs. • Understanding of retail banking/Credit Card data domains and regulatory requirements. • Proficiency in SQL and data modeling tools (e.g., Wherescape, ERwin, ER/Studio) • Excellent communication and documentation skills. Nice to Have: • Certifications in GCP Professional Data Engineer or Architect. • Experience with data governance frameworks and metadata management. • Exposure to data product lifecycle and data mesh principles.

The Data Modeler III is a hands-on technical role focused on full-stack software development within the Enterprise Data organization. This role plays a crucial part in shaping future big data and analytics initiatives. PRINCIPAL RESPONSIBILITIES: Design and implement Medallion Architecture, dimensional models (Star/Snowflake schemas), and metadata-driven modeling approaches for enterprise data warehouses. Develop canonical and semantic data models with effective SCD techniques aligned with business requirements and analytical needs. Write and optimize advanced SQL queries in Snowflake (or similar platforms) to ensure efficient data processing and warehouse performance. Align data models with ELT/ETL pipelines and analytics frameworks to create scalable data structures that support business growth. Design and develop code and data pipelines to ingest data from relational databases (Oracle, SQL Server, DB2, Aurora), file shares, and web services. Implement streaming ingestion using Kinesis Streams, Kinesis Firehose, Kinesis Analytics, and Kafka (MSK). Build Data Lakes on AWS S3 with optimal performance considerations, including partitioning and data compression. Perform data engineering and analytics using AWS Glue, Informatica, EMR, Spark, Athena, and Python. Model data and build enterprise data warehouses using Snowflake. Design and develop JavaScript modules and REST APIs utilizing MarkLogic to support complex searches. Develop MarkLogic integrations with existing enterprise platforms. Participate in requirements gathering, system architecture design, and data architecture design. Contribute to all phases of the software development lifecycle using Agile methodologies. QUALIFICATIONS: 5+ years of experience with data modeling tools such as ERWIN, Lucidchart, or sql DBM. 7+ years of experience in Enterprise Information Solution Architecture, Design, and Development. 7+ years of experience with integration architecture (SOA, Microservices, ETL, or related technologies). 7+ years of experience working with content/knowledge management systems, search engines, relational and NoSQL databases, ETL tools, geospatial systems, or semantic technology. 5+ years of hands-on experience with MarkLogic; experience with DynamoDB preferred. 5+ years of hands-on experience with AWS services (S3, Kinesis, Lambda, Athena, Glue, EMR). 5+ years of experience with analytics tools such as SAS, R, Python, or other advanced statistical software. 5+ years of web development experience using Angular, JavaScript, and Node.js. Experience with JSON and XML data modeling (required). Experience with Git/GitHub, branching strategies, and modern source code management practices (required). Strong understanding of NoSQL and relational database concepts (required). Knowledge of database architecture and performance optimization (required). Experience integrating Business Intelligence tools such as Qlik Sense, Tableau, or Power BI. Experience with Machine Learning and Artificial Intelligence. Ability to multitask effectively and work collaboratively in an Agile team environment. Extensive knowledge of Python, JavaScript, and Java. Excellent written and verbal communication skills, with a strong sense of ownership, urgency, and drive. MINIMUM QUALIFICATIONS: Bachelor's degree in Computer Science, Computer Information Systems, Engineering, Statistics, or a closely related field (or foreign equivalent) - required. Experience working with AWS data and analytics services - required. 5 years of experience in data ingestion, extraction, and integration - required. Please submit your resume to *********************

Role - Data Engineer Pyspark & BigQuery Full Time Experience Required - 8+ Years Must Have Technical/Functional Skills Design, develop, and maintain scalable ETL/ELT pipelines using PySpark, Airflow, and GCP-native tools. Build and optimize data warehouses and analytics solutions in BigQuery. Implement and manage workflow orchestration with Airflow/Cloud Composer. Write complex SQL queries for data transformations, analytics, and performance optimization. Ensure data reliability, security, and governance across pipelines. Conduct performance tuning and cost optimization of BigQuery and PySpark workloads. Collaborate with analysts and product teams to deliver reliable data solutions. Troubleshoot, debug, and resolve production issues in large-scale data pipelines. Contribute to best practices, reusable frameworks, and automation for data engineering.5+ years of experience within Data Engineering/ Data Warehousing using Big Data technologies will be a addon Expert on Distributed ecosystem Hands-on experience with programming using Python Expert on Hadoop and Spark Architecture and its working principle Hands-on experience on writing and understanding complex SQL(Hive/PySpark-dataframes), optimizing joins while processing huge amount of data Experience in UNIX shell scripting Ability to design and develop optimized Data pipelines for batch and real time data processing Should have experience in analysis, design, development, testing, and implementation of system applications Demonstrated ability to develop and document technical and functional specifications and analyse software and system processing flows. Roles & Responsibilities Develop and maintain data pipelines using BigData processes Focus on ingesting, storing, processing, and analysing large datasets Design, develop, and maintain application. Able to communicate complex data structures and associated components. Able to Design, code, test, maintain, and document application components. Lead reviews of colleagues' work. Defines test conditions based on the functional and non-functional requirements provided. Has deep understanding of the core tools used in the planning, analysing, crafting, building, testing, configuring, and maintaining of assigned application(s). Deep understanding of infrastructure, technologies, and components. Able to assess and interview team members to identify and develop talent. Making impactful changes by influencing leadership and making timely decisions. Monitors system performance and availability and improves software quality through root cause analysis. Proven track record to influence technological growth across teams

As the Senior Data Engineer, you will help build, maintain, and optimize the data infrastructure that powers our decision-making and product development. You'll work with modern tools like Snowflake, Metabase, Mage, Airbyte, and MySQL to enable data visualization, data mining, and efficient access to high-quality insights across our GradGuard ecosystem. This is a key opportunity for someone with around five years of experience who's passionate about turning data into impact. This position is based in Phoenix, AZ. Challenges You'll Focus On: Design, build, and maintain scalable data pipelines and architectures using Mage (or similar orchestrators) and Airbyte for ELT processes. Ensure efficient and reliable data ingestion, transformation, and loading into Snowflake. Perform data mining and exploratory data analysis to uncover trends, patterns, and business opportunities. Ensure the quality, consistency, and reliability of the underlying data. Promote best practices and quality standards for the data engineering team. Partner with Data Science, Business Intelligence, and Product teams to define data needs and ensure data infrastructure supports strategic initiatives. Optimize SQL queries and data models for performance and scalability. Contribute to improving data standards, documentation, and governance across all data systems. Help ensure compliance with data security, privacy, and regulatory requirements in the insurance domain. The person we're looking for has a proven, successful background with: 5+ years of experience as a Data Engineer, Data Analyst, or similar role. Experience leading and mentoring a data engineering team. Proficient with SQL for data transformation, querying, and performance optimization. Proficiency with Python or other languages like Java, JavaScript, and/or Scala. Proficiency in connecting with APIs for data loading. Hands-on experience with: Snowflake (Data Warehousing). Beyond basic SQL, you must understand Snowflake's unique architecture and features which includes: Data Warehouse Design, Performance Optimization, and Data Loading. Knowledge of advance Snowflake feature is nice-to-have. Mage (Data Pipeline Orchestration) or experience with other orchestration. Airbyte (ELT Processes) or experience with ELT tools. Metabase (Data Visualization & Dashboards) or familiarity with other visualization BI tools. Comfort with data modeling, ETL/ELT best practices, and cloud-based data architectures (preferably AWS). Excellent problem-solving skills, attention to detail, and ability to work cross-functionally. Prior experience working in an insurance, fintech, or highly regulated industry is a plus. Beyond a fulfilling and challenging role, you'll get: A competitive salary. Opportunity to enroll in comprehensive health, dental, and vision insurance. We pay 100% of employee premiums and 75% of your family's premiums. A lifestyle spending account where you can receive up to $400 in reimbursements for wellness activities. 401(K) retirement plan with company matching up to 5% of compensation deferred. Employee and employer contributions are 100% vested. Student loan and education assistance, after one year of employment at GradGuard. We're learners and embrace education. Unlimited PTO after completing 90 days of employment. Plus, 12 paid holidays and paid parental leave. Not familiar with GradGuard? As the leader in college tuition and renters insurance, GradGuard serves more than 1.7 million students across 1,900+ institutions. Our national technology platform embeds innovative insurance protections into the enrollment processes of over 650 institutional partners, empowering schools to increase college completion rates and reduce the financial impact of preventable losses. GradGuard supports College Life Protected, a social purpose entity that promotes research, professional development, and best practices that strengthen campus communities, families, society and the economic competitiveness of our nation. GradGuard was recognized as one of the Top 100 Financial Technology Companies of 2024 by The Financial Technology Report, a RISE Internship Award winner, and a Phoenix Business Journal Best Places to Work finalist, GradGuard remains committed to innovation, excellence, and supporting students and families. Hear from our students, families, and partners: ********************************** Those that succeed at our company: Make it happen by turning challenges into opportunities. Do the right thing even when it's difficult. Demand excellence from yourself and others. Learn for life and stay curious. Enjoy the journey, not just the results. The above just so happen to be our core values. These values are at the heart of our mission to educate and protect students from the risks of college life, empowering us to create meaningful experiences and make a positive impact. GradGuard is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

📍 Scottsdale, AZ (Hybrid 3 days a week in office) About the Opportunity A leading renewable energy organization is seeking a Data Engineer to join its high-growth Performance Engineering team. This is an exceptional role for someone who wants to work at the intersection of data engineering, analytics, and clean energy, supporting a portfolio of utility-scale solar, energy-storage, and solar-plus-storage assets across the U.S. If you thrive in an environment focused on teamwork, continuous improvement, and driving real operational impact, this role offers both challenge and meaningful purpose. What You'll Do As an Associate Data Engineer, you'll help optimize the performance of a large fleet of renewable energy assets by designing and maintaining modern data architectures. Your work will turn vast amounts of operational data into actionable insights for engineering and asset management teams. Key responsibilities include: Build and maintain scalable data pipelines using Snowflake or Databricks Integrate large, diverse datasets from performance systems, CMMS platforms, and drone inspection imagery Analyze asset performance data to detect underperformance, quantify energy losses, and support predictive maintenance modeling Manage the full data lifecycle from ingestion (S3) to processing, analysis, and visualization Evaluate and improve systems, processes, and workflows across engineering teams Develop metadata documentation and support strong data governance practices What We're Looking For Bachelor's degree in Data Science, Computer Science, Engineering, Statistics, or a related quantitative field 3-4 years of experience in a data-focused role Strong hands-on expertise with Snowflake or Databricks, plus cloud experience with AWS (S3, EC2, Glue, SageMaker) Experience with Apache Spark for distributed computing (highly preferred) Expert-level SQL and strong Python skills (Pandas, NumPy) Experience in statistical modeling, ML, and mathematical modeling Experience working with aerial or geospatial imagery (OpenCV, Scikit-image, GeoPandas, PyTorch, TensorFlow) Ability to collaborate effectively, take ownership, and drive process improvements Strong communication skills and the ability to align technical work with business goals Why You'll Love Working Here This organization invests heavily in the well-being, growth, and success of its team members. You can expect: Flexible, hybrid work environment Generous PTO 401(k) with 6% company match Tuition reimbursement Paid parental & caregiver leave Inspiring, mission-driven culture Strong opportunities for professional growth and development

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: As a senior member of the Risk & Servicing Business Intelligence team, you will play a key role in measuring critical servicing and risk metrics. This position offers exposure to complex problem-solving in a big data environment, leveraging analytics to generate actionable insights and deliver solutions that enhance customer experience. You will contribute to strategic business decisions while mentoring and developing junior team members. The Business Intelligence team, part of the Global Financial Crimes and Customer Protection organization, addresses all analytical needs related to risk and servicing. By enabling data-driven decision-making and collaborating with product, risk management, and finance experts, the team's insights directly impact the security and experience of millions of users worldwide. Job Description: Global Financial Crimes and Customer Protection (GFCCP) is responsible for fulfilling PayPal's commitment to combat money laundering, terrorism financing, and related financial crimes around the world, including sanctions enforcement. This is achieved through a global network of best-in-class investigators and specialized teams dedicated to the development and implementation of strategic policies, advanced analytics, robust reporting, and cutting-edge technology. In your day-to-day role you will * Dive into extensive datasets, defining and tracking essential KPIs to drive actionable insights for informed business decisions. * Develop controls and monitoring dashboards to ensure performance against business goal, regulatory requirements, and business priorities. * Architect and oversee the entire data infrastructure lifecycle, ensuring seamless automation of processes from end to end, ensuring efficiency and accuracy. * Lead or participate in ad-hoc projects and initiatives related to risk management, operations optimization, leveraging data-driven approaches to address specific business challenges or opportunities. * Work on assignments of intermediate complexity with minimum supervision and constantly seek improvement within defined tasks. * Good understanding of general business trends and directions to be able to put own work in a broad business context. * Drive effective communication with collaborators to achieve the optimal level of decisioning and business results. * Ability to proactively derive actionable insights from developed solutions to enhance and influence operational decision making. * 8+ years of experience in analytics and data science with Master's Degree required in same. * High proficiency in Big Query, SQL, Python and Excel. * Expertise in building interactive dashboards using visualization tools like Tableau & PowerBi. * Highly Proficient in statistics; exhibit critical and analytical thinking, with a focus on problem-solving and attention to detail. * Experience in leading and delivering end-to-end Business Intelligence Solutions (requirement gathering, analyzing large, multi-dimensional data sets and synthesizing insights into actionable solutions). * Industry experience in payments, e-commerce, or financial services is an advantage. * Highly motivated, result-oriented self-starter who enjoys working in a fast-paced environment. Proven ability to function well independently as well as in a team. * Strong interpersonal skills including ability to present insights and recommendations persuasively. Skill and confidence in dealing with people at all levels of the organization are essential * Requires an excellent understanding of standard business practices related to Compliance processes and systems. * Clear, strategic thinker with vision, with the ability to execute on priorities * Skilled in translating technical processes for a business audience 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.

**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.

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 (**************************************** .

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.

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 ****************************************

**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 (***************************************************************************************************************************

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

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.

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.