Data Scientist Jobs in Austin, TX

JD The Senior Database Developer will perform advanced analysis and development work involving all aspects of supporting, improving, and enhancing and optimizing the database performance for a large project. This position requires strong Oracle SQL and PL/SQL experience, along with extensive experience in performance tuning of stored procs and views. The developer will also devise approaches to solving complex problems, provide thought leadership, and provide ongoing updates on project status. Work assignments follow a defined software development life cycle (SDLC) process using an Agile-like approach for completing code changes for defined releases. Expertise working with Oracle SQL and PL/SQL (advanced concepts such as bulk collect, handling data in JSON/XML format) Expertise with writing complex Oracle queries and optimizing them to reduce SGA/PGA/TempSpace usage Proficient in storing, querying, manipulating JSON data in Oracle database tables Proficient in creating complex queries and views using data stored in JSON format Proficient in optimizing performance of stored procs and views accessing data stored in JSON format Documentation Dev/Unit Testing Participate in Agile development Skills Required Oracle SQL JSON PL/SQL

An exclusive client of mine is currently seeking an Actuarial Consultant to join their team! Key Responsibilities: Utilize extensive knowledge to provide actuarial analytics to both internal and external clients by: Conducting intermediate data compilation and actuarial analysis for price monitoring, reserving, and pricing level indications. Analyzing, developing, and validating statistical data. Extracting, compiling, and analyzing data from company systems, and preparing necessary responses and reports. Assisting in the development and ongoing analysis of financial and operational issues affecting the company. Preparing and presenting monthly, management, and ad-hoc reports and analyses as needed. Building and maintaining customer service-oriented relationships with all clients. Developing business solutions using statistical models and computational data analysis, including Generalized Linear Modeling, Principal Components Analysis, Clustering and Classification models, Multivariate Regressions, and Decision Trees. Keeping up with advancements in actuarial techniques and researching trends. Translating business questions into data-driven solutions. Participating in core actuarial functions related to pricing, reserving, and actuarial modeling. Providing peer reviews of colleagues' work and ensuring personal work is peer-reviewed before presenting to management. Required Qualifications: Bachelor's degree in actuarial science, statistics, mathematics, finance, or related fields, or equivalent education, training, or experience. At least two years of relevant experience or equivalent education, training, or experience. Preferably completed at least 3 actuarial exams (relevant work experience may be considered in lieu of exams). Proficiency in Excel, including the use of macros. Ability to write moderately complex computer programs and queries. Understanding of data analysis and actuarial techniques. If interested, feel free to apply and I will be happy to have a conversation to discuss more details!

Job Title: Data Quality Analyst Department: Product Development Status: Full-Time, Salary Are you looking to join a team where “corporate values” aren't just words on the website but instead are the genuine beliefs of the team? Where the people are smart, hardworking, fun, and loving? A place where the talk is walked? That's Kasasa! There are 4 values that define our company culture - Interdependence, Empowered Ownership, Badassitude, and Love - Together these values form THE PATCH. Elevate is the wrapper around the whole Patch reminding us to seek the “highest form” of our values. If you feel that our company values align with your own, please apply! If you don't, we encourage you to find a company whose values do! Our values are a living commitment to one another. It defines everything we do, including how we build products, serve our clients, plan for the future, and work together. It is our uncompromising promise to one another, our communities, and our clients. Interdependence - Only team wins count. I take responsibility for my team's success. My Team is Kasasa. I hold my shield for all of us. Empowered Ownership - I know my goals. If they're to be, it's up to me. Badassitude - I am passionate about what I do because I understand why it matters. I will courageously face challenges, seeing each one as a steppingstone toward growth. Love - We boldly bring love to the workplace and the world. ELEVATE - I CREATE THE HIGHER POSSIBILITY. ONLY THE BADASS NEED APPLY! We're looking for much more than qualified applicants! We're looking for people who “relentlessly give a sh!t” (Or “RGAS” for short; this is a component of our Badassitude value)! We want individuals who will courageously face challenges. We don't settle for good enough. At Kasasa, we have the determination, grit, and hustle to create excellence. Kasasa's mission is to inspire and elevate community financial institutions to be the source for love and financial wellbeing in their communities. Kasasa employees (Spartans) are passionately dedicated to this mission and lead the way - sharing our “love” with the world - through our words and actions - via community service and outreach. Expect to get involved and make an impact if you expect to be a Spartan. As Spartans once did, we stand together and inspire others to join us in our mission. Stronger together and united by core values, we are more than a team. We are a Phalanx! The purpose of this position description is to serve as a general summary and overview of the major duties and responsibilities of the job. It is not intended to represent the entirety of the job, nor is it intended to be all-inclusive. Therefore, the position may be required or requested to perform for Kasasa other work duties not specifically listed herein. Management reserves the right to modify, defer, or rescind this position description at any time, with or without prior notice. Role Overview As a Data Quality Analyst, you will be responsible for performing comprehensive manual testing and validation of data as it flows from multiple disparate sources into our centralized data warehouse, and subsequently, into our reporting dashboards. You will collaborate with data engineers, business analysts, and product teams to identify, document, and resolve data quality issues, ensuring that our customers receive accurate and reliable insights. ESSENTIAL FUNCTIONS (Responsibilities) 1. Infuse the Patch Values into your work ethic, every day and every interaction. 2. Conduct thorough manual testing and validation of data as it is ingested from various sources into the data warehouse. 3. Ensure data accuracy, consistency, and integrity across all stages of the data pipeline, from ingestion to reporting. 4. Develop and execute test plans, test cases, and test scripts to validate data transformations, aggregations, and calculations. 5. Identify, document, and track data quality issues and work closely with data engineers and other stakeholders to resolve them. 6. Validate and verify the accuracy of customer-facing reports and dashboards to ensure they meet business requirements and standards. 7. Perform root cause analysis for data quality issues and provide actionable recommendations for improvement. 8. Collaborate with cross-functional teams to understand data requirements, define data quality metrics, and implement data quality best practices. 9. Monitor and report on data quality KPIs and metrics, providing regular updates to management and stakeholders. 10. Continuously improve data quality processes and methodologies, staying up-to-date with industry trends and best practices. 11. Help implement automated data quality checks across the data sources in the organization. 12. Other duties as assigned. POSITION REQUIREMENTS (Qualifications) 1. Bachelor's degree in Computer Science, Information Systems, Data Analytics, or a related field. 2. 3+ years of experience in data quality analysis, data testing, or a similar role. 3. Strong understanding of data quality concepts, methodologies, and best practices. 4. Proficiency in SQL for data querying, validation, and testing. 5. Experience working with data warehouses and ETL processes. 6. Familiarity with BI and data visualization tools such as Power BI, Tableau, or Looker. 7. Excellent analytical and problem-solving skills, with a keen eye for detail. 8. Strong communication skills, with the ability to effectively collaborate with technical and non-technical stakeholders. 9. Ability to work independently and manage multiple priorities in a fast-paced environment. 10. Must be legally allowed to work in the U.S. 11. Kasasa values the importance of flexibility and collaboration. We offer a hybrid work model where you'll join us in the office for at least three full workdays each week, allowing for meaningful in-person connections and teamwork. The remaining two days offer the option to work remotely, providing you with the balance and autonomy to excel in your role. 12. You will be asked to participate in culture related meetings, activities, and events. We firmly believe that building culture and teamwork in a company requires extra intentionality, and thus your participation and engagement isn't just encouraged - it is required and part of your role responsibilities. Preferred Qualifications 1. Experience with data quality tools and frameworks such as Talend, Informatica, or Great Expectations. 2. Knowledge of scripting languages such as Python or R for data analysis and automation. 3. Experience with cloud-based data platforms like AWS Redshift, Google BigQuery, or Azure Synapse. 4. Understanding of data governance and compliance standards. PHYSICAL REQUIREMENTS 1. Sitting for extended periods of time; approximately 5-6 hours per day 2. Simultaneous use of hand, wrist and fingers 3. Daily operation of standard office equipment 4. Frequent use of oral communication to perform work 5. Occasionally lifts and moves 7-10 pounds Are you ready to join an amazing group of people who genuinely love their jobs in an environment that inspires greatness? We are committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, ancestry, national origin, citizenship status, gender, gender identity, pregnancy, sexual orientation, transgender status, marital status, religion, creed, age, physical or mental disability, results of genetic testing, genetic information, past, present or prospective service in the military, or any other characteristic or activity protected by federal, state, or local law.

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 Mathematics, Statistics, a relevant technical field, or equivalent 7. 4+ years of work experience in analytics, data querying languages such as SQL, scripting languages such as Python, and/or statistical mathematical software such as R (minimum of 2 years with a Ph.D.) 8. 4+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product trends, and leading data-driven projects from definition to execution [including defining metrics, experiment, design, communicating actionable insights] **Preferred Qualifications:** Preferred Qualifications: 9. Master's or Ph.D. Degree in a quantitative field **Public Compensation:** $145,000/year to $204,000/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.

We are looking for a skilled Data Scientist who will help us analyze large amounts of raw information to find patterns and use them to optimize our performance. You will build data products to extract valuable business insights, analyze trends and help us make better decisions. We expect you to be highly analytical with a knack for analysis, math and statistics, and a passion for machine-learning and research. Critical thinking and problem-solving skills are also required. Data Scientist responsibilities are: Research and detect valuable data sources and automate collection processes Perform preprocessing of structured and unstructured data Design, implement and deliver maintainable and high-quality code using best practices (e.g. Git/Github, Secrets, Configurations, Yaml/JSON) Review large amounts of information to discover trends and patterns Create predictive models and machine-learning algorithms Modify and combine different models through ensemble modeling Organize and present information using data visualization techniques Develop and suggest solutions and strategies to business challenges Work together with engineering and product development teams Data Scientist requirements are: 3+ years' experience of working on Data Scientist or Data Analyst position Significant experience in data mining, machine-learning and operations research Experience with data modeling, design patterns, building highly scalable and secured solutions preferred Prior experience installing data architectures on Cloud providers (e.g. AWS,GCP,Azure), using DevOps tools and automating data pipelines Good experience using business intelligence/visualization tools (such as Tableau), data frameworks (such as Hadoop, DataFrames, RDDs, Dataclasses) and data formats (CSV, JSON, Parquet, Avro, ORC) Advanced knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset MA or PhD degree in Computer Science, Engineering or other relevant area; graduate degree in Data Science or other quantitative field is preferred Must be a U.S. Citizen

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. Staff. Data Scientist, Marketing Analytics at Realtor.com Who We Are Realtor.com is your one stop shop for homebuyers, sellers, and dreamers, with comprehensive for-sale listings, insightful information, valuable tools and professional expertise. We make buying, selling, and living in homes easier and more rewarding for everyone. We're excited and hungry to make a difference to the millions of people in the US who buy a home each year. Our aspiration starts with treating our home buyer as our focal point - we believe that delivering on experiences that truly help people through this seemingly difficult life event will lead us to continued and greater success as a company. 3 Reasons to Apply: * Unparalleled Access to Google's Marketing Tech Stack: Realtor.com is one of Google's top marketing spenders, granting our team unique access to cutting-edge technical systems and proprietary insights. This means you'll work with best-in-class tools and data, giving you an edge in shaping marketing strategies at scale. If you're looking to build expertise in marketing analytics with deep integration into Google's ecosystem, this is the place to be. * Industry Leadership in Marketing Analytics: At Realtor.com, marketing analytics isn't just a support function-it's a key driver of our success. With millions of monthly users, our platform generates vast amounts of data, allowing us to continuously optimize user acquisition, engagement, and conversion strategies. Joining our team means you'll be at the forefront of data-driven decision-making, developing insights that influence a high-growth, competitive business. * A Fast-Paced, High-Impact Environment: We're in a dynamic race to challenge the #1 player in our space, which fuels a startup-like culture within an established brand. This means high ownership, problem-solving at scale, and an execution-focused team that thrives on innovation. If you're excited by the idea of tackling big challenges, making an immediate impact, and working with a team that values curiosity and action, you'll fit right in. About The Role Are you a marketing or data expert? Proficient at munging data from Google, Bing, and enterprise analytics platforms? Have a solid understanding of statistical concepts, testing and experimentation? Let's chat. At Realtor.com, our data science & analytics teams sit at the forefront of helping leaders make decisions about how to help over 100M+ users navigate the complex world of real estate. In this position, you will democratize insights and analytics across the org, working with a variety of tools and tech that integrates with thousands of different data sources to make media more efficient. If you want to pursue your professional goals as you help grow an innovative real estate tech company, this work is for you. Join us as our newest Staff. Data Scientist, Marketing Analytics and help change the world of real estate, one home at a time. What you'll do: * Create full funnel reporting for the Seller business to understand consumer behavior, engagement and retention across all platforms * Work collaboratively with marketing, product, and engineering to establish measurement best practices for SEM / performance media. * Prescribe different levers available on paid search to optimize media performance. Track performance of said levers and surface what's working and what's not working to leadership. * Deliver SEM insights across the customer journey to inform acquisition (i.e., awareness, consideration & demand) while developing decision making frameworks around KPIs (e.g., CPA, CPI, ROAS, ROI, LTV etc.) * Automate reporting deliverables for cross functional teams. Stakeholders for this role would be both internal and external. External stakeholders would include Google, Bing, and other 3rd party advertising vendors. * Analyze test data integrations and develop hypotheses around media experiments (A/B testing, Bayesion methods, Multi-Armed Bandits (MABS), etc. are all very positive) * Experience with Experimentation platforms is a plus. We use Amplitude but other tools such as Optimizely, VWO, Adobe Target, LaunchDarkly, Split.io, Google Ads Experiments, Mixpanel, Heap, Pendo are also acceptable. * Ownership of campaign management, budgeting, and optimization efforts across geo / demo. How We Work: We value creativity and innovation, supported by in-person collaboration. Our employees work in the office three or more days a week to foster a close-knit culture and drive collaboration. What You'll Bring: * 6+ years of related experience in analytics or data science. * Experience with setting up campaigns on Google Search Ads or similar platforms * Experience with analyzing search query reports for keyword insights, creative testing and landing page optimization * Robust analytics skills and ability to work with and analyze large volumes of complex data. * Be a subject matter expert on measurement and statistical analyses for your stakeholders. Strong analytical thinking and ability to make data-driven decisions using statistical methods. * Strong hand-coding of SQL and very proficient in writing queries either intermediate Python or R or an OOBJ programming language. * Ability to create ETL pipelines using Dbt + Airflow. * Well versed in Tableau or similar BI tools. * Highly collaborative and a team player. * Four-year college or university degree in computer science, computer engineering, statistics, mathematics, information management, or a related discipline. How we Reward you: Realtor.com is committed to investing in the health and well-being of our employees and their families. Our benefits programs include, but are not limited to: * Inclusive and Competitive medical, Rx, dental, and vision coverage * Family forming benefits * 13 Paid Holidays * Flexible Time Off * 8 hours of paid Volunteer Time off * Immediate eligibility into Company 401(k) plan with 3.5% company match * Tuition Reimbursement program for degreed and non-degreed programs * 1:1 personalized Financial Planning Sessions * Student Debt Retirement Savings Match program * Free snacks and refreshments in each office location 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. People are our foundation-the core that drives us passionately forward. 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.

Integra is a financial and economic consulting firm that exists to restore integrity to the financial system through forensic data analytics. We work with government agencies and law firms in their efforts to combat a wide array of financial fraud, in areas ranging from securities to healthcare to crypto assets. We are looking for strong candidates with quantitative and financial backgrounds and a natural curiosity to learn to join our team and help tackle complex projects by efficiently analyzing data. Job Description Plan, develop, and take ownership in data-intensive investigations of financial fraud Conduct background research to develop hypotheses of where fraud occurs Write scripts to retrieve and organize data; parse free-form text fields, images, and spreadsheets to derive insights Construct and analyze large datasets to find fraudulent patterns; develop quantitative and empirical methods to detect where fraud occurs Summarize and present findings to technical and non-technical audiences Qualifications 2+ years of relevant full-time experience Demonstrated experience with R, Python, and/or SQL Attention to detail Intellectual curiosity and interest in fraud analysis Highest ethical standards Strong teamwork abilities Preferred Excellent skills in R, Python, and/or SQL 2+ years of prior experience in economic/management consulting Advanced degree in statistics, mathematics, engineering, computer science, data science, economics, or other quantitative field Knowledge of financial concepts and principles Demonstrated aptitude for research Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

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. Who We Are: Realtor.com is your one stop shop for homebuyers, sellers, and dreamers, with comprehensive for-sale listings, insightful information, valuable tools and professional expertise. We make buying, selling, and living in homes easier and more rewarding for everyone. We're excited and hungry to make a difference to the millions of people in the US who buy a home each year. Our aspiration starts with treating our home buyer as our focal point - we believe that delivering on experiences that truly help people through this seemingly difficult life event will lead us to continued and greater success as a company. About The Role: Are you a data expert? Proficient at munging data from Google, Bing, and enterprise analytics platforms? Have a solid understanding of statistical concepts, testing and experimentation? Let's chat. At Realtor.com , our data science & analytics teams sit at the forefront of helping leaders make decisions about how to help over 100M+ users navigate the complex world of real estate. In this position, you will democratize insights and analytics across the org, working with a variety of tools and tech that integrates with thousands of different data sources to make media more efficient. If you want to pursue your professional goals as you help grow an innovative real estate tech company, this work is for you. Join us as our newest Data Scientist, Product Analytics and help change the world of real estate, one home at a time. Three Reasons to Apply Data-Driven Impact: Use your analytical expertise to transform complex datasets into actionable insights that keep consumers at the heart of decision-making. Collaborative Innovation: Work cross-functionally with marketing, product, and engineering teams in a dynamic, supportive environment that champions your growth. Continuous Learning: Thrive in a culture that values creative problem-solving, ongoing innovation, and the empowerment to build better, every day. What you'll do: Create full funnel reporting for the New Homes / New Construction business to understand consumer behavior, engagement and retention across all platforms Work collaboratively with marketing, product, and engineering to establish measurement best practices for experimentation and optimization. Partner closely with machine learning teams to determine the best way to optimize for the desired KPIs. Deliver product insights across the customer journey to inform acquisition (i.e., awareness, consideration & demand) while developing decision making frameworks around KPIs (e.g., Page Views, Unique Users, Impressions, etc.) Automate reporting deliverables for cross functional teams. Stakeholders for this role would be both internal and external. Analyze test data integrations and develop hypotheses around product experiments. Ownership of product partnerships with sales stakeholders. How We Work: We value creativity and innovation, supported by in-person collaboration. Our employees work in the office three or more days a week to foster a close-knit culture and drive collaboration. What You'll Bring: Four-year college or university degree in computer science, computer engineering, statistics, mathematics, information management, or a related discipline. 2+ years of related experience in analytics or data science. Robust analytics skills and ability to work with and analyze large volumes of complex data. Be a subject matter expert on measurement and statistical analyses for your stakeholders. Strong analytical thinking and ability to make data-driven decisions using statistical methods. Strong SQL and either intermediate Python or R. Well versed in Tableau or similar BI tools. Highly collaborative and a team player. Nice to have: Ability to create ETL pipelines using DBT + Airflow. Extensive documentation experience, preferably around tracking front end changes and implementation. How we Reward you: Realtor.com is committed to investing in the health and wellbeing of our employees and their families. Our benefits programs include, but are not limited to: Inclusive and Competitive medical, Rx, dental, and vision coverage Family forming benefits 13 Paid Holidays Flexible Time Off 8 hours of paid Volunteer Time off Immediate eligibility into Company 401(k) plan with 3.5% company match Tuition Reimbursement program for degreed and non-degreed programs 1:1 personalized Financial Planning Sessions Student Debt Retirement Savings Match program Free snacks and refreshments in each office location 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. People are our foundation-the core that drives us passionately forward. 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.

Esolvit is a global leader in consulting, technology, application development, outsourcing and staffing solutions. ESolvit has successfully delivered solutions of the highest quality to customers globally. We have strategic alliances with customers which enable them to gain a competitive advantage by providing end-to-end consulting, applications support, implementation and infrastructure services. Esolvit's objective is to integrate People, Process, Technology and Training. With our dedicated and efficient team of professionals with technical expertise and strong domain knowledge will be ready to serve the needs of our diverse clients. We help enterprises transform and thrive in a changing world through strategic consulting, operational leadership and the co-creation of breakthrough solutions, including those in mobility, sustainability, big data and cloud computing. Seamless delivery is ensured by our professionals, through the usage of proven methodologies, consistent practices, management disciplines, and business metrics. ESolvit helps customers to do business better leveraging our I ndustry-wide experience, deep technology expertise, comprehensive portfolio of services and a vertically aligned business model Job Description Duration: 6+ Months Basic Qualifications: Min. 6 years' of work experience with Data Architecture, and Java Opensource Min. of 3 years' of work experience with Sentiment Analysis and OpenNLP Min. of 3 years' of work experience with Big Data Analytics, and Data Mining and Machine Learning Additional Information All your information will be kept confidential according to EEO guidelines.

At Base we believe that the world needs reliable and abundant power to maximize human prosperity. Our team is on a mission to affect this future. We are tenacious engineers and operators who have solved hard problems and are here to do it again. At Base, we operate a fleet of distributed energy resources that interacts with the Texas electricity market and we supply power to retail customers. We're seeking a Data Scientist to join our trading and risk team. The role will focus on building and maintaining our risk management platform that will span the distributed fleet and our retail customers. This is a mid-level position that combines quantitative analysis, programming, and energy market expertise. Responsibilities: Design and implement a comprehensive risk management platform to monitor market risk across our distributed energy fleet and retail customers. Develop risk models for our positions and help identify/evaluate new products. Build analytical tools to assess portfolio performance and risk metrics. Be comfortable pulling in and analyzing necessary data sources. Required Skills / Qualifications: Bachelor's degree in Mathematics, Physics, Engineering, or related quantitative field. 3-5 years of experience in quantitative analysis, risk management or data science. Strong programming skills in Python, or similar languages, and SQL. Strong quantitative and statistical background. Experience with modeling preferred. Demonstrated problem-solving ability and analytical thinking. Ability to work in a dynamic environment where requirements and priorities may shift. Preferred Skills: Familiarity with risk modeling and systems. Experience in energy markets. Knowledge of power trading and retail electricity markets. Why join Base? Make a n impact: contribute to sustainable, reliable energy solutions that are shaping the future. Innovate and grow: be part of a dynamic, fast-growing team at the forefront of IoT and energy technology. Advance your career: enjoy competitive compensation, benefits, and clear opportunities for professional growth. If you're passionate about technology and want to make a real difference in power grid stability and energy reliability, we'd love to hear from you. Apply today and help us build the future of energy.

Note: Local to TX Candidate only. : Seeking a dynamic and visionary Data Scientist to join our team and support our System Modernization efforts for the Child Support Division. This individual must be able to work in a heavily technical environment, preparing and optimizing data for Snowflake and utilizing SAS Viya to build comprehensive federal and state reports. You will play a pivotal role in transforming, analyzing, and leveraging our data assets to drive strategic initiatives and business outcomes. You must be comfortable analyzing data, developing predictive modeling algorithms, and can communicate your findings through visualizations enabling the discovery of solutions to business problems. As a Data Scientist your role will be impactful, visible, and rewarding. Responsibilities will include: Data Conversion and Reporting Support for System Modernization Efforts Data Transformation and Integration: Prepare and optimize data for migration to Snowflake and SAS Viya platforms, ensuring seamless integration and functionality by creating data transformation processes using ETL, SQL, Python, and R. Develop Federal and State Reports: Build comprehensive reports that meet federal and state requirements using Snowflake and SAS Viya, ensuring accuracy and compliance. Scrum Team Collaboration: Work as a member of an agile team to deliver new features and functions, delivering best-in-class value-based technology solutions. Data Quality Management: Develop and implement databases, ETL processes, data collection systems, and data quality strategies that optimize statistical efficiency, accuracy, and quality. Problem Examination and Resolution: Examine problems within the Data Intelligence space using ETL, Lambda, and Glue, and implement necessary changes to ensure data quality improvement. Data Analytics and Insights: Utilize advanced data analytics techniques to support strategic decision-making, ensuring data integrity, quality, and timeliness of results. The above job description and requirements are general in nature and may be subject to change based on the specific needs and requirements of the organization and project. Requirements Skills Set: Skill Required /Desired Experience Proven experience in data conversion and report building using Snowflake and SAS Viya 4 years Demonstrated experience in data transformation processes using ETL, SQL, Python, and R. 4 years Experience working with data analytics and business intelligence tools 4 years Experience working in a Scrum or Agile development environment 4 ye

The Data Scientist will work with cutting edge cloud-based services and machine learning algorithms to modernize the way artificial intelligence (AI) is deployed in healthcare. In partnership with clinicians, cloud partners, and business owners the DS will work backwards from business objectives to drive scalable machine learning solutions and pull through the appropriate technology as needed. The incumbent will be a technical leader influencing the analyses and promoting best practices within the team. Responsibilities THE DETAILS Identify the data-analytics problems that offer the greatest opportunities to the organization Determine the correct data sets and variables Collect large sets of structured and unstructured data from disparate sources Clean and validate the data to ensure accuracy, completeness, and uniformity Devise and apply models and algorithms to mine the stores of big data Analyze data to identify patterns and trends Interpret data to discover solutions and opportunities Perform statistical analytical techniques ranging from basic descriptive techniques to advanced regression and multi-variable techniques, using various statistical software programs Communicate findings to stakeholders using visualization and other means Make recommendations for new metrics, apply analytical techniques, and build ML models to improve insights for clinical analytics Maintain an understanding of the latest trends in data science and machine learning Lead development, execution, and validation of highly complex algorithms and predictive models from large sets of data Partner with business subject matter experts to select relevant sources of information and collect necessary data Communicate new knowledge and insights gained from mining and analyzing large data sets Transfer knowledge and concepts to IS and business teams that are implementing the actual system Mentor and work collaboratively with other data scientists on specific projects, improving team infrastructure and participate in methodology and code reviews Research and implement novel ML approaches to accelerate interoperability, knowledge extraction, enterprise search, real-time workflow orchestration, and more 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. Qualifications SCOPE MEASURES Direct reports: No Indirect reports: No Budget responsibility: No EDUCATION/CREDENTIALS Master's degree in health science-related discipline, public health, statistics, economics, mathematics, healthcare, or related quantitative field from an accredited college or university or equivalent education and experience In lieu of undergraduate degree, the ratio is 1:1 meaning one year of college equals one year of work experience and vice versa JOB-RELATED EXPERIENCE Customarily has at least five years of experience in data mining and statistical analysis Customarily has at least five years of experience with SQL and statistical software packages (Python, R, SAS/SPSS) Technical experience and data management skills including data extraction, transformation, metadata capabilities Advanced proficiency with MS Excel and PowerPoint Experience using business intelligence tools (Tableau/MicroStrategy/Power BI) and data frameworks Track record of publications JOB-RELATED SKILLS/COMPETENCIES Concentra Core Competencies of Service Mentality, Attention to Detail, Sense of Urgency, Initiative and Flexibility Ability to make decisions or solve problems by using logic to identify key facts, explore alternatives, and propose quality solutions Outstanding customer service skills as well as the ability to deal with people in a manner which shows tact and professionalism The ability to properly handle sensitive and confidential information (including HIPAA and PHI) in accordance with federal and state laws and company policies Have a keen ability to analyze, extract, normalize, understand, and label relevant healthcare data Ability to document technical requirements, code comments, and compile white papers to relay technical methodology and key findings Ability to work in a highly collaborative environment with peers that have a range of technical aptitudes to understand business requirements and build analytical solutions to achieve key business goals Passionate about working with data, relentless in focus on quality, have a solution mindset, and focused to answer key healthcare challenges. Excellent verbal and written communication skills Excellent organizational skills and attention to detail Able to multitask, prioritize, and manage time effectively Strong math skills Problem-solving aptitude Intellectual curiosity and inquisitiveness are highly desirable qualities

NXP Semiconductors Sales seeks an experienced and results-oriented Data Scientist to contribute to our AI-driven initiative, providing comprehensive Customer 360 insights to our Sales team. This role centers on developing and deploying AI/ML models and Generative AI Retrieval Augmented Generation (RAG) solutions, synthesizing information from diverse internal and external sources to empower our sales force. Experience with AWS AI/Generative AI tools as well as Salesforce Einstein is highly desired. This role requires a strong understanding of Generative AI and ML implementations for various sales scenarios, proficient programming skills, and excellent English communication. Semiconductor industry and Sales experience are highly valued. Responsibilities: * Collaborate with cross-functional teams (executives, sales, marketing, and Salesforce) to translate business needs into actionable data science solutions. * Conduct exploratory data analysis (EDA) on complex data sources, including internal systems (e.g., Sales Order, Revenue Forecasts, Design Win Opportunities) and external sources (e.g., company websites, trade news, SEC Edgar filings). * Design and develop machine learning models to predict customer behavior, identify sales opportunities, and generate actionable insights. * Develop data pipelines and ETL processes for ingesting, cleaning, and transforming disparate data sources to build RAG instances and train ML models. * Implement and support Generative AI prompt user interfaces, providing training and enablement to users. * Deploy and maintain production-ready machine learning models, ideally leveraging AWS or Salesforce environments. * Create visualizations and reports to effectively communicate insights and findings to stakeholders. * Maintain awareness of advancements in AI, particularly within the Generative AI domain. * Collaborate with the Salesforce team, the CDO (Chief Data Office), and IT data scientists and engineers to enhance AI capabilities. Qualifications: * Bachelor's or Master's degree in Data Science, Computer Science, Mathematics, or a related quantitative or business field. * Three or more years of demonstrated experience as a Data Scientist, with a proven track record of successful project implementations. * Deep understanding of statistical modeling, machine learning algorithms, and data mining techniques. * Proven ability to implement and optimize Generative AI solutions, including experience leveraging company internal and external data within Retrieval Augmented Generation (RAG) databases. * Proficiency in Python and R, coupled with experience using machine learning libraries and frameworks such as scikit-learn, TensorFlow, and PyTorch. * Expertise in data engineering, and working with large, complex datasets comprising structured, unstructured, and external web data. Databricks experience is a plus. * Proficiency with AWS cloud computing platforms. * Demonstrated data visualization skills using tools such as Tableau or Power BI. * Experience with Salesforce (including Einstein and Data Cloud) and ModelN is highly desirable. * Experience within the semiconductor or high-tech industry, particularly in Sales, Marketing, or Supply Chain, is a strong plus. #LI-FCC3 More information about NXP in Mexico... #LI-fcc3

At Cardinal Health's Artificial Intelligence Center of Excellence (AI CoE), we're focused on using technology to improve healthcare. Our commitment to innovation, design, and a product-centric approach helps us create solutions that make a real difference. We're a team of passionate individuals who thrive in a culture of collaboration and continuous learning. We leverage cutting-edge technology and data insights to solve complex problems, forge new business models, and create products that truly impact the lives of our customers. As a Full Stack Data Scientist and a key member of our AI CoE, you'll play a pivotal role in driving this transformation. You'll work closely with business stakeholders to understand their needs and translate them into actionable data-driven solutions. You will be responsible for building and maintaining robust machine learning models and GenAI solutions, designing intuitive user interfaces, and ensuring seamless integration with our existing systems. This role is looking for a highly skilled and versatile engineer who can bridge the gap between machine learning and front-end development. The ideal candidate will have a strong understanding of both areas and be able to apply their knowledge to build innovative and user-friendly applications. **Responsibilities** + Develop intuitive and user-friendly web applications using modern front-end frameworks (e.g., React, Angular, Vue.js) to showcase and interact with your ML/GenAI solutions. + Strong understanding of React components, state management, and lifecycle methods. + Ability to build complex and performant user interfaces. + Develop and deploy Machine Learning (ML) models: Design, train, and optimize machine learning models for a variety of applications like forecasting, classification and categorization systems, and churn prediction. + Develop, integrate and maintain Generative AI (GenAI) solutions: Explore and implement GenAI technologies, like large language models (LLMs), to enhance existing applications or create new GenAI-based solutions. This includes working with RAG technologies, embedding models, and crafting effective prompts for LLMs. Ensure the reliable and scalable deployment; and support and maintenance of GenAI models in production environments. + Construct robust APIs: Design and implement RESTful APIs to integrate your ML models or GenAI solutions with other applications and systems within the organization. + Build and maintain end-to-end ML pipelines: Design, develop, and maintain robust and scalable ML pipelines, encompassing data ingestion, feature engineering, model training, deployment, and monitoring. + Ensure scalability and performance: Design and implement solutions to ensure that your ML and GenAI applications are scalable, efficient, and performant, even with large volumes of data and usage. + Create compelling data visualizations: Develop interactive and insightful visualizations to communicate the results of your data analysis and ML/GenAI models to stakeholders + Collaborate with cross-functional teams: Work closely with principal and senior data scientists, data engineers, business analysts, and product and project managers to ensure successful delivery of projects. + Stay current on the latest trends in AI: Actively seek out and experiment on new ML and GenAI technologies and approaches to enhance your skillset, and the performance and efficiency of your ML/GenAI models. This includes active participation in internal events like AI CodeJam. **Qualifications** + Bachelor's degree in mathematics, Statistics, Engineering, Computer Science, other related field, or equivalent years of relevant work experience is preferred. + At least 4 years of experience as a Full Stack Machine Learning Engineer or similar role preferred + Experience including HTML, HTML5, CSS3 and JavaScript (React preferred), Angular, Vue.js, Python, Java, Node.js, Flask/Django, FastAPI, PostgreSQL. + Experience with popular React libraries and tools (e.g., Redux, React Router, Styled Components). + Experience in DevOps tools like Docker, Kubernetes, Airflow; version control using Git and CI/CD piplelines using Concourse + Knowledge of clinical domain and datasets. + Knowledge of REST, Apigee, Microservices preferred + Experience in Generative AI, RAG implementation, re-ranking, Large Language Models (LLMs), LangChain, LlamaIndex, Hugging Face, Vector databases, Embedding models, Prompting techniques. + Experience with Machine Learning and related technologies such as Jupiter Notebooks, RAG, NumPy, Pandas, Scikit-learn, Tensor-Flow, Pytorch, Supervised and Unsupervised learning, Deep learning, Model evaluation + Understanding of cloud data engineering and integration concepts including GCP, Vertex AI, Cloud functions, Compute Engine, Cloud storage. + Strong mathematical and statistical skills. + 2+ years in the Healthcare industry and knowledge of clinical data preferred. + Delivery experience with Google Cloud Platform preferred. + Agile development skills and experience preferred. + Experience designing and developing machine learning and deep learning solutions and systems. + Experience using statistical analysis to determine data modeling approach, training machine learning tests and experiments. + Experience possessing deep functional and technical understanding of the Machine Learning technologies (Google's Cloud Platform, custom and COTS-embedded) and provide prescriptive guidance on how these are leveraged within the Commercial Technologies and/or Business landscape. + Experience mining and analyzing large structured and unstructured datasets. + Experience identifying the data attributes that influence the outcome, define, and monitor metrics, create data narratives, and builds tools to drive decisions. + Experience in building end-to-end ML pipelines from data ingestion, feature engineering, model training, deploying and scaling the model in production + Experience in model training, model evaluation, model optimization, ML system architecture design, and scalable ML model deployment + Experience building large-scale batch and real-time data pipelines with data processing frameworks like Scio, Google Cloud Platform and the Apache Beam + Proficiency in Python and relevant libraries for machine learning such as scikit-learn and Pandas, as well as Jupyter Notebooks. + Experience in building solutions for AI/ML services and platforms with models in production, ML Ops, CI/CD automation of ML pipelines in a cloud-based environment e.g., (GCP) + Experience interacting with REST APIs and microservices + Familiarity with containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) for scalable and efficient model deployment. **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 + Recommends new practices, processes, metrics, or models + Works on complex projects of large scope projects may have significant and long-term impact + Provides solutions which may set precedent + Collaborate with stakeholders for completion of new projects **Anticipated salary range:** $93,500 - $133,600 **Bonus eligible:** No **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:** 1/26/2025 *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: Data Scientist Employee Classification: Non-Student Help - Hourly Campus: University of North Texas Division: UNT-Provost SubDivision-Department: UNT-Ryan College of Business Department: UNT-Ctr-LSCM-131720 Salary: $100.00 per hour FTE: .48 Retirement Eligibility: Not Retirement Eligible About Us - Values Overview: Welcome to the University of North Texas System. The UNT System includes the University of North Texas in Denton and Frisco, the University of North Texas at Dallas and UNT Dallas College of Law, and the University of North Texas Health Science Center at Fort Worth. We are the only university system based exclusively in the robust Dallas-Fort Worth region. We are growing with the North Texas region, employing more than 14,000 employees, educating a record 49,000+ students across our system, and awarding nearly 12,000 degrees each year. We are one team comprised of individuals who are committed to excellence, curiosity and innovation. We are transforming lives and creating economic opportunity through education. We champion a people-first values-based culture where We Care about each other and those we serve. We believe that we are Better Together because we foster an inclusive environment of respect, belonging, and access for all. We demonstrate Courageous Integrity through setting exceptional standards and acting in the best interest of our communities. We are encouraged to Be Curious about opportunities for learning, creating, discovering, and innovating, and are encouraged to learn from failure. Show Your Fire by joining our team and exhibiting your passion and pride in your work as part of our UNT System team. Learn more about the UNT System and how we live our values at ****************** Department Summary The Center for Logistics & Supply Chain Management aims to facilitate the formulation and implementation of research and education necessary to produce effective strategies and qualified people to meet the rapidly changing knowledge demands of the 2000s. We conduct all our activities with a conscience focus on high ethical standards, the pursuit of excellence, and respect for all individuals. Our value propositions include: * Provide networking opportunities for our industry partners and students to help facilitate internships and permanent employment. * Provide logistics industry professionals with preferred opportunities for continuing education courses and workshops, certificate programs, executive roundtables, symposiums, and conferences. * Provide our industry partners with resources and opportunities to network among corporations, faculty, business experts, leaders and researchers. * Provide educational and learning opportunities in the form of research reports and seminars. * Provide industry professionals with a forum to create a long-term impact on the education of future logistics professionals. * Help industry partners meet their responsibilities to advance the educational opportunities for students and their employees, and improve the supply of professionals available to industry, which advances DFW as a world-class logistics center and creates a better quality of life in the North Texas Region. Position Overview The Center for Logistics and Supply Chain Management is seeking an experienced Data Scientist to provide mentorship and support research in database management, data analysis and data visualization through the development of dashboards. The position entails variable hours based on needs identified up to 20 hours. The ideal candidate has a demonstrated understanding of data visualization principles, dashboard design best practices, and proficiency in relevant software tools. Responsibilities include all of the following. Minimum Qualifications Education: Bachelor's degree in data science, Statistics, Computer Science, Information Systems, or a related field (Master's preferred). Experience: * Proven experience in data visualization and dashboard creation. * Proven experience with data analysis and interpretation. * Experience mentoring or teaching others is highly desirable. Knowledge, Skills and Abilities * Demonstrated proficiency in data visualization and dashboard tools (e.g., Tableau, Power BI, etc.). * Demonstrated proficiency in data analysis tools and programming languages (e.g., Python, R, SQL). * Excellent communication and interpersonal skills. * Ability to explain complex concepts in a clear and concise manner. * Proven problem-solving and critical thinking skills. * Ability to work independently and as part of a team. * Strong organizational and time-management skills. Preferred Qualifications * Experience with web-based data visualization libraries (e.g., D3.js, Plotly). * Knowledge of database management systems. * Experience with statistical analysis. Work Schedule: 20 hours per week, variable Driving University Vehicle: No Security Sensitive: This is a Security Sensitive Position. Special Instructions: Applicants must submit a minimum of two professional references as part of their application. If needed, additional references can be added after the application has been submitted. Benefits: For information regarding our Benefits, click here. EEO Statement: The University of North Texas System is firmly committed to equal opportunity and does not permit -- and takes actions to prevent -- discrimination, harassment (including sexual violence, domestic violence, dating violence and stalking) and retaliation on the basis of race, color, religion, national origin, sex, sexual orientation, gender identity, age, disability, genetic information, or veteran status in its application, employment practices and facilities; nor permits race, color, national origin, religion, age, disability, veteran status, or sex discrimination and harassment in its admissions processes, and educational programs and activities, facilities and employment practices. The University of North Texas System promptly investigates complaints of discrimination, harassment and related retaliation and takes remedial action when appropriate. The University of North Texas System also takes actions to prevent retaliation against individuals who oppose any form of harassment or discriminatory practice, file a charge or report, or testify, assist or participate in an investigative proceeding or hearing.

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 influence and convince upwards, downwards and horizontally to your partners using clear insights and recommendations. You will build credibility through structure, clarity and comprehensiveness, and be a trusted strategic partner. Currently has or in the process of obtaining Ph.D. in Mathematics, Statistics, a relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta. Experience with data querying languages (e.g., SQL), scripting languages (e.g., Python) or statistical packages (e.g., R). Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment. Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta. Experience working with distributed computing tools (MapReduce, Hadoop, Hive, etc.). Experience working with large data sets. Experience manipulating and analyzing high-volume, high-dimensionality data from varying source.

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. Who We Are: Realtor.com is your one stop shop for homebuyers, sellers, and dreamers, with comprehensive for-sale listings, insightful information, valuable tools and professional expertise. We make buying, selling, and living in homes easier and more rewarding for everyone. We're excited and hungry to make a difference to the millions of people in the US who buy a home each year. Our aspiration starts with treating our home buyer as our focal point - we believe that delivering on experiences that truly help people through this seemingly difficult life event will lead us to continued and greater success as a company. About The Role: Are you a data expert? Proficient at munging data from Google, Bing, and enterprise analytics platforms? Have a solid understanding of statistical concepts, testing and experimentation? Let's chat. At Realtor.com, our data science & analytics teams sit at the forefront of helping leaders make decisions about how to help over 100M+ users navigate the complex world of real estate. In this position, you will democratize insights and analytics across the org, working with a variety of tools and tech that integrates with thousands of different data sources to make media more efficient. If you want to pursue your professional goals as you help grow an innovative real estate tech company, this work is for you. Join us as our newest Data Scientist, Product Analytics and help change the world of real estate, one home at a time. Three Reasons to Apply * Data-Driven Impact: Use your analytical expertise to transform complex datasets into actionable insights that keep consumers at the heart of decision-making. * Collaborative Innovation: Work cross-functionally with marketing, product, and engineering teams in a dynamic, supportive environment that champions your growth. * Continuous Learning: Thrive in a culture that values creative problem-solving, ongoing innovation, and the empowerment to build better, every day. What you'll do: * Create full funnel reporting for the New Homes / New Construction business to understand consumer behavior, engagement and retention across all platforms * Work collaboratively with marketing, product, and engineering to establish measurement best practices for experimentation and optimization. * Partner closely with machine learning teams to determine the best way to optimize for the desired KPIs. * Deliver product insights across the customer journey to inform acquisition (i.e., awareness, consideration & demand) while developing decision making frameworks around KPIs (e.g., Page Views, Unique Users, Impressions, etc.) * Automate reporting deliverables for cross functional teams. Stakeholders for this role would be both internal and external. * Analyze test data integrations and develop hypotheses around product experiments. * Ownership of product partnerships with sales stakeholders. How We Work: We value creativity and innovation, supported by in-person collaboration. Our employees work in the office three or more days a week to foster a close-knit culture and drive collaboration. What You'll Bring: * Four-year college or university degree in computer science, computer engineering, statistics, mathematics, information management, or a related discipline. * 2+ years of related experience in analytics or data science. * Robust analytics skills and ability to work with and analyze large volumes of complex data. * Be a subject matter expert on measurement and statistical analyses for your stakeholders. * Strong analytical thinking and ability to make data-driven decisions using statistical methods. * Strong SQL and either intermediate Python or R. * Well versed in Tableau or similar BI tools. * Highly collaborative and a team player. Nice to have: * Ability to create ETL pipelines using DBT + Airflow. * Extensive documentation experience, preferably around tracking front end changes and implementation. How we Reward you: Realtor.com is committed to investing in the health and wellbeing of our employees and their families. Our benefits programs include, but are not limited to: * Inclusive and Competitive medical, Rx, dental, and vision coverage * Family forming benefits * 13 Paid Holidays * Flexible Time Off * 8 hours of paid Volunteer Time off * Immediate eligibility into Company 401(k) plan with 3.5% company match * Tuition Reimbursement program for degreed and non-degreed programs * 1:1 personalized Financial Planning Sessions * Student Debt Retirement Savings Match program * Free snacks and refreshments in each office location 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. People are our foundation-the core that drives us passionately forward. 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. Staff. Data Scientist, Marketing Analytics at Realtor.com Who We Are Realtor.com is your one stop shop for homebuyers, sellers, and dreamers, with comprehensive for-sale listings, insightful information, valuable tools and professional expertise. We make buying, selling, and living in homes easier and more rewarding for everyone. We're excited and hungry to make a difference to the millions of people in the US who buy a home each year. Our aspiration starts with treating our home buyer as our focal point - we believe that delivering on experiences that truly help people through this seemingly difficult life event will lead us to continued and greater success as a company. 3 Reasons to Apply: Unparalleled Access to Google's Marketing Tech Stack: Realtor.com is one of Google's top marketing spenders, granting our team unique access to cutting-edge technical systems and proprietary insights. This means you'll work with best-in-class tools and data, giving you an edge in shaping marketing strategies at scale. If you're looking to build expertise in marketing analytics with deep integration into Google's ecosystem, this is the place to be. Industry Leadership in Marketing Analytics: At Realtor.com, marketing analytics isn't just a support function-it's a key driver of our success. With millions of monthly users, our platform generates vast amounts of data, allowing us to continuously optimize user acquisition, engagement, and conversion strategies. Joining our team means you'll be at the forefront of data-driven decision-making, developing insights that influence a high-growth, competitive business. A Fast-Paced, High-Impact Environment: We're in a dynamic race to challenge the #1 player in our space, which fuels a startup-like culture within an established brand. This means high ownership, problem-solving at scale, and an execution-focused team that thrives on innovation. If you're excited by the idea of tackling big challenges, making an immediate impact, and working with a team that values curiosity and action, you'll fit right in. About The Role Are you a marketing or data expert? Proficient at munging data from Google, Bing, and enterprise analytics platforms? Have a solid understanding of statistical concepts, testing and experimentation? Let's chat. At Realtor.com , our data science & analytics teams sit at the forefront of helping leaders make decisions about how to help over 100M+ users navigate the complex world of real estate. In this position, you will democratize insights and analytics across the org, working with a variety of tools and tech that integrates with thousands of different data sources to make media more efficient. If you want to pursue your professional goals as you help grow an innovative real estate tech company, this work is for you. Join us as our newest Staff. Data Scientist, Marketing Analytics and help change the world of real estate, one home at a time. What you'll do: Create full funnel reporting for the Seller business to understand consumer behavior, engagement and retention across all platforms Work collaboratively with marketing, product, and engineering to establish measurement best practices for SEM / performance media. Prescribe different levers available on paid search to optimize media performance. Track performance of said levers and surface what's working and what's not working to leadership. Deliver SEM insights across the customer journey to inform acquisition (i.e., awareness, consideration & demand) while developing decision making frameworks around KPIs (e.g., CPA, CPI, ROAS, ROI, LTV etc.) Automate reporting deliverables for cross functional teams. Stakeholders for this role would be both internal and external. External stakeholders would include Google, Bing, and other 3rd party advertising vendors. Analyze test data integrations and develop hypotheses around media experiments (A/B testing, Bayesion methods, Multi-Armed Bandits (MABS), etc. are all very positive) Experience with Experimentation platforms is a plus. We use Amplitude but other tools such as Optimizely, VWO, Adobe Target, LaunchDarkly, Split.io, Google Ads Experiments, Mixpanel, Heap, Pendo are also acceptable. Ownership of campaign management, budgeting, and optimization efforts across geo / demo. How We Work: We value creativity and innovation, supported by in-person collaboration. Our employees work in the office three or more days a week to foster a close-knit culture and drive collaboration. What You'll Bring: 6+ years of related experience in analytics or data science. Experience with setting up campaigns on Google Search Ads or similar platforms Experience with analyzing search query reports for keyword insights, creative testing and landing page optimization Robust analytics skills and ability to work with and analyze large volumes of complex data. Be a subject matter expert on measurement and statistical analyses for your stakeholders. Strong analytical thinking and ability to make data-driven decisions using statistical methods. Strong hand-coding of SQL and very proficient in writing queries either intermediate Python or R or an OOBJ programming language. Ability to create ETL pipelines using Dbt + Airflow. Well versed in Tableau or similar BI tools. Highly collaborative and a team player. Four-year college or university degree in computer science, computer engineering, statistics, mathematics, information management, or a related discipline. How we Reward you: Realtor.com is committed to investing in the health and well-being of our employees and their families. Our benefits programs include, but are not limited to: Inclusive and Competitive medical, Rx, dental, and vision coverage Family forming benefits 13 Paid Holidays Flexible Time Off 8 hours of paid Volunteer Time off Immediate eligibility into Company 401(k) plan with 3.5% company match Tuition Reimbursement program for degreed and non-degreed programs 1:1 personalized Financial Planning Sessions Student Debt Retirement Savings Match program Free snacks and refreshments in each office location 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. People are our foundation-the core that drives us passionately forward. 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 and 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. **_Department/Team Overview_** We are looking for a Data Scientist, Operations Research Analyst to join our Decision Science Solutions (DS2) team. Our mission is to improve our pharmaceutical supply chain's performance to better service our pharmacy customers, so that they can focus on their patients. The DS2 team consists of Supply Chain Data Scientists, Operations Research Analysts, Data Analysts, and Data Engineers. We work cross-functionally to solve problems leveraging a variety of skillsets and perspectives to achieve the best outcomes. We perform analyses, recommend solutions, and build products to enable better decision making in the following areas: + Distribution center network design and capacity planning + Facility layout and design; warehouse capacity and utilization + Warehouse process improvement + Labor management and automation + Inventory management: stocking strategies and replenishment policies + Transportation planning: first mile, middle mile, and final mile + Sales and operations planning (resource management in response to demand changes) **_Responsibilities_** As a Data Scientist in Supply Chain Operations, you will apply your knowledge of business processes, systems, data, and analytical tools to explore and identify root causes of problems. You will forecast future demand, build optimization and simulation models, and communicate actionable insights. You will work with cross-functional project teams to ideate, develop, and recommend solutions. Specific responsibilities are to: + Listen to clients and ask questions to clearly define business problems. + Perform exploratory analysis to determine root causes of problems and confirm/disprove hypotheses. + Develop predictive models to forecast future volumes that will drive capacity/resource needs. + Develop customer and product segmentation models and design our supply chain to support differentiated services. + Build optimization and simulation models to recommend capacity investments, resource plans, policy changes, and process changes to improve supply chain performance. + Develop prescriptive models using 3rd party optimization/simulation software and custom-build models. + Recommend solutions. Summarize the financial and operational impact of the recommendation and pros/cons of alternatives considered. + Work with Data Engineers to create data models for analyses. **_Qualifications_** + 2-4 years of experience, preferred + Bachelor's degree in a quantitative field, or equivalent work experience, preferred + MS/MBA with focus in Data Science, Operations Research, Industrial Engineering, or Statistics preferred + Demonstrated ability to apply Data Science and Operations Research techniques to logistics and supply chain management problems preferred + Experience with Structured Query Language (SQL) and working with databases preferred + Experience with data analysis tools such as R, Python, SQL, Alteryx, Tableau, and SAS preferred + Experience with Strategic Network Design, Simulation (e.g., AnyLogic), or Mathematical Programming (e.g., CPLEX) software preferred + Proven ability to work as part of a team as the key analytical resource + Excellent communication skills with an ability to explain quantitative analysis in simple business terms + Intellectual curiosity, humility, genuine respect and desire to help others + Bias for action and passion for driving change + Ability to travel up to 5% **_What is expected of you and others at this level_** + Applies comprehensive knowledge and a thorough understanding of concepts, principles, and technical capabilities to perform varied tasks and projects + May contribute to the development of policies and procedures + Works on complex projects of large scope + Develops technical solutions to a wide range of difficult problems + Solutions are innovative and consistent with organization objectives + Completes work; independently receives general guidance on new projects + Work reviewed for purpose of meeting objectives + May act as a mentor to less experienced colleagues **Anticipated salary range:** $93,500 - $133,600 **Bonus eligible:** No **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:** 4/18/2025 *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 (***************************************************************************************************************************