Data Scientist Jobs in Kyle, 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!

Entity: Oracle America, Inc. Job Duties: Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement. Interacts with product and service teams to identify questions and issues for data analysis and experiments. Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers. May telecommute. (385.29279) Employer will accept a Master's degree in Computer Science, Analytics, Engineering, or a related technical field. Position requires: 1. Machine learning methods including classification, clustering and deep learning; 2. Machine learning algorithms including Support Vector Machines, Decision Tree and Random Forests; 3. Building predictive models, including regression techniques including univariate or multivariate analyses and Statistics and Probability techniques including Bayesian methods; 4. Modeling and formulating optimization problems and optimization algorithms for solving linear and non-linear optimization problems; 5. Analytic/statistical programming languages including R or Python; and, 6. Commercial mathematical programming solvers, such as Gurobi. Career Level - IC3 Qualifications Disclaimer: Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates. Range and benefit information provided in this posting are specific to the stated locations only US: Hiring Range in USD from: $97,500 to $199,500 per annum. May be eligible for bonus and equity. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.

The Legal Technology Solutions Team assists other legal teams by providing deep technical solutions, to highly complex and real-world impacting problems. We manage the systems that power law enforcement response, transparency reporting, and other front-line outreach and compliance functions. Our team is looking for an experienced data scientist with a focus in operations and a natural curiosity for internal systems. As our primary data emissary, you'll be working on reporting and using data to forecast, build insights, and draw correlations between our external and internal products. You will also be expected to see beyond just the raw data to understand our users' behaviors and interactions, and to explain those behaviors to stakeholders. You will be working with some of the brightest minds in the industry, and you'll get an opportunity to solve some of the most challenging Legal process problems on the web and mobile Internet, at a scale that few companies can match. If you relish the opportunity to leverage data to help drive the direction of products that impact the lives of over 1 billion people every day, this role may be aligned for you!Master's in Computer Science, Math, Physics, Engineering, Statistics or a related quantitative field 3+ years' experience analyzing data stored in various DBMS (MySQL, Oracle) or in Hive 3+ years' experience in the design, deployment, and maintenance of large data pipelines and data warehouses Software development experience in Python or other scripting languages (PHP, Perl, etc. ) Demonstrated understanding of statistics (e. g. , hypothesis testing, regression) and experimental design Demonstrable experience in applying Machine Learning algorithms to solve real-world business problems PhD in Computer Science, Math, Physics, or a related quantitative field Demonstrable experience in communicating data-driven insights to front-line and leadership teams Demonstrable experience in proactively initiating projects starting with data exploration and driving said projects to completion Demonstrable experience in legal process and knowledge in integrity

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.

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

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 4 years of work experience OR 2 years of work experience and an advanced degree Background in statistics, mathematics, engineering, computer science, data science, economics, or other quantitative field 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 Background in economic/management consulting or finance Knowledge of financial concepts and principles Knowledge of crypto, decentralized finance, or smart contracts 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 in 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.

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

Data ScientistABOUT US Shipwell believes we are fundamentally changing the logistics industry and breaking the mold for how the supply chain has been operated for centuries. We work with thousands of shippers and carriers to create the first real solution in logistics through an unmatched technology platform. With a fast-paced and gritty startup mentally, which is generating a buzz in the investment world, Shipwell provides a unique opportunity to get in on the ground floor of a future Fortune 500 Company. We are backed by some of the best investors in both Silicon Valley and Austin who believe we are onto something and we need the right people to continue our rapid growth plan towards changing the world of freight. DATA SCIENTIST The Data Scientist role provides you with a unique opportunity to join a high growth, third-party logistics company as we pivot into a record-breaking 3rd year. We're laying the foundation on which our industry will be reinvented; we're looking for individuals who want to part of a significant change. Ideas come from being an innovator and an amplifier, that strives to achieve more, for themselves and to enable greatness in others. WHAT YOU WILL DO WHEN YOU GET HERE Analyze client proprietary and public domain datasets leveraging advanced analytics and statistics to work on scheduling and network optimization, macroeconomic forecasting, pricing, and routing Source, clean, and process a diverse set of data streams Identify and understand business needs and contextualize results of the analysis to drive impact for the organization as a whole Dynamically collaborate with operations and product teams to refine project goals, scope, and timelines Provide consulting services on both internal and external analytic questions WHAT YOU NEED TO HAVE Bachelor's degree in mathematics/statistics, engineering, computer science, or other technical disciplines Expert knowledge in a mathematical programming language of choice (preferred: R, Python, Matlab) Experience with ETL processes for manipulating data sets Detail-oriented, proactive problem-solving skills Ability to communicate complex findings in a clear, precise, and actionable manner. Able to translate high-level ideas into well-defined problems 2+ years work experience (non-academic) Experience with API integration Experience with a visualization platform (e.g. Tableau) and experience with database manipulation (e.g. SQL) - preferred WHY SHIPWELL? Corporate headquarters in sunny Austin, TX Incredible growth opportunity at one of the fastest growing companies in Austin The kitchen is fully stocked with local coffee, drinks, and snacks Company sponsored healthcare insurance and dental insurance Team building events and office competitions Partial cell phone reimbursement Receive an elite technology package to include a brand new MacBook Pro! Competitive salary Opportunity to put your thumbprint on a high-growth company in the early stages An open work environment where everyone, even the new folks, have a voice View all our open positions at ************************ We've announced our Series A financing round! Read more on TechCrunch. Shipwell is an equal opportunity employer. In keeping with the values of Shipwell, we make all employment decisions including hiring, evaluation, termination, promotional and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We have pledged to create a diverse and culturally strong company and environment.

**_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 (***************************************************************************************************************************

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 Job Location: Austin 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.

Teamwork makes the stream work. Roku is changing how the world watches TV Roku is the #1 TV streaming platform in the US and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers. From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines. About the team The Core Analytics Team is a centralized function to provide data-driven insights to business and products. We collaborate closely with our Product and Engineering teams to deliver the best experiences to our customer and maximize the value proposition for the business. About the role Roku is looking for a Sr. Data scientist to join the Core Analytics team supporting user privacy and integrity product. In this role, you will leverage data analytics to support and improve our user privacy and integrity initiatives, identifying trends, mitigating risks, and providing actionable insights to make our team more efficient and safeguard our users, understand privacy behavior of consumers and provide insights that help guide strategic product and business decision. You will work closely with product management and engineering to identify opportunities to create new features, drive their adoption, and generate value for Roku. This individual will investigate and develop solutions to track, monitor and improve our ecosystem. The successful candidate is quantitatively driven, detail-focused, and possesses an elevated level of problem-solving expertise. This role can be located in Boston, NYC, Austin, or Chicago. What you'll be doing Develop and maintain dashboards, reports, and data visualizations to monitor key metrics for operational and systems health Analyze structured and unstructured data and communicate insights to help stakeholders solve business problems, identify trends and make data-driven decisions Develop necessary data pipelines to power automation, validation and reporting Collaborate with stakeholders to align data science initiatives with organizational goals and strategy design and execute A/B tests Develop analytical tools (real-time alerts, models, etc.) to understand what drives success for our privacy product Perform exploratory data analysis on emerging trends and execute advanced analysis across the Roku Platform Collaborate with the Program Management and Engineering team to proactively seek and incorporate feedback Providing feedback directly to leadership on performance of various initiatives and untapped opportunities We're excited if you have 5+ years of work experience with a bachelor's degree or master's degree in quantitative field (e.g., Statistics, Business Analytics, Data Science, Mathematics, Economics, Engineering or Computer Science) 5+ years of experience across mobile, consumer product, digital media or entertainment industries Expertise in SQL, SAS, R, Python or other programming language to query data and perform analysis Preference for those with experience working on consumer data, privacy controls, and role based access controls (RBAC) Ability to work cross functionally to implement data governance practices and further advance privacy protections Hands on experience with visualization tools like Tableau or Looker Have a bias towards action in resolving issues and operate in a high-energy, fast-paced environment Hands on experience in A/B testing and statistical modeling/forecasting Benefits Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Our employees can take time off work for vacation and other personal reasons to balance their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter. The Roku Culture Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV. We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002. To learn more about Roku, our global footprint, and how we've grown, visit ************************************ By providing your information, you acknowledge that you have read our Applicant Privacy Notice and authorize Roku to process your data subject to those terms.

Description & Requirements Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen. The Office of the CXO drives effectiveness across the EA Experiences organization with a focus on excellence in business operations, comprehensive fan intelligence, plus internal technology and business solutions. We are horizontal connectors empowering teams across the Experiences organization with the strategic prioritization, investments, resources, data, insights, and technology required to accelerate business outcomes in service of our goals. And we want you to join us. We are hiring a Senior Data Scientist for our CXO Data & Analytics team in Austin, TX, reporting to the Director of Decision & Data Science. This is an individual contributor role with no managerial responsibilities. Responsibilities: * Identify, source, examine, clean, visualize and prep datasets for statistical analysis * Model datasets and perform model fit tests * Build effective relationships with Product Managers and other partners to identify and execute new Data Science opportunities across the CXO Department and EA at large * Communicate modeling results in business-friendly language to partners and department leadership by building PowerPoint presentations * Deploy models for production into AWS SageMaker and work with our IT department to identify the necessary data feeds so models can produce inference * Work with our UX designers to decide how model results will be shown in an application * Monitor model accuracy over time and keep an eye out for model drift; retrain model when accuracy drops below agreed-upon threshold * Periodically report back to partners on model performance Qualifications: * 3 or more years experience in Data Science with some experience in NLP * Master's in Statistics, Operations Research or related field (we will consider a Bachelor's degree with significant relevant experience) * Proven track record in breaking down large projects into tasks and executing against them Technical skills: * Expert in at least one Statistical Programming Language such as R or Python * Experience with relational and distributed databases (SQL) Job-specific skills * Expert in Data ingestion and munging, like extracting elements of a json object, feature extraction, stratified sampling and dimensionality reduction techniques (i.e. Principal Component Analysis) * Expert in Exploratory Data Analysis including visualizations, summary statistics, identifying and imputing missing data and checking for data quality problems * Expert in statistical concepts such as descriptive statistics, percentiles and outliers, central limit theorem, distance measures, probability theory, bayes theorem, continuous distributions, hypothesis testing and regression modeling * Experience with unsupervised and supervised Machine Learning models (i.e. Decision trees, Naive Bayes, Clustering, Ranking, Classification) as well as Machine Learning concepts like boosting, dealing with imbalanced classes, train, test vs. validation set and overfitting * Bonus: Experience with NLP concepts such as Named Entity Recognition, constructing Document-Term-Matrices, Topic Modeling and Text Classification * Bonus: Experience with Model lifecycle management concepts such as model bias and drift, constructing data Labeling jobs for collection of 'golden dataset', and model deployment, monitoring and decommissioning in AWS SageMaker Soft skills * Customer Centric - You put the customer/player at the center when designing new offerings and processes. You understand how decisions and work impact the player. * People Analyst - You understand that your work contributes to improving people's experiences, not predict when a machine is going to break down * Learner - You are a regular on Stack Overflow, know how to take apart a Vignette and are always looking for a new project that allows you to put that cutting edge technique to good use you read about last month * Documentation Expert - You know just the right level of documentation to help yourself and the person who takes over after you understand what you did, when and why About Electronic Arts We're proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth. We take a holistic approach with our benefits program, focusing on physical, emotional, financial, career, and community wellness to support a balanced life with paid time off and new parent leave, plus free games and so much more. We nurture environments where our teams can always bring their best to what they do. Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.

Summary / Objective Serve as the technical expert and project manager for the annual funding, accounting, and compliance requirements for defined benefit pension plans. Responsibilities * Leverage tools and resources to provide clients with innovative and effective solutions * Assist in the development and delivery of quality client communication and deliverables in support of Senior Consultants * Prepare and manage internal project deadlines * Prepare, technically review, and serve as primary contact to clients on annual service offerings * Review pension benefit calculations in accordance with plan provisions, Internal Revenue Code, ERISA, and other legal regulations * Oversee annual employee pension statement projects * Assist in completing and managing non-routine client work such as plan design, plan termination, benefit statements, and other special projects * Assist in the development and training of student-level staff Skills & Qualifications * Bachelor degree in math, actuarial science, or other related field * One or more credentials from the Society of Actuaries or Joint Board of Enrolled actuaries required * If not fully credentialed, pursuit of FSA is required * ProVal experience a strong plus * Project management experience * Strong communication skills, including client consulting and presentations Be aware of employment fraud. All email communications from Ascensus or its hiring managers originate ****************** ****************** email addresses. We will never ask you for payment or require you to purchase any equipment. If you are suspicious or unsure about validity of a job posting, we strongly encourage you to apply directly through our website. For all virtual remote positions, in order to ensure associates can effectively perform their job duties with no distractions, we require an uninterrupted virtual work space and there is also an expectation of family care being in place during business hours. Additionally, there is an internet work speed requirement of 25 MBps or better for individual use. If more than one person is utilizing the same internet connection in the same household or building, then a stronger connection is required. If you are unsure of your internet speed, please check with your service provider. Note: For call center roles specifically, it is a requirement to either hardwire your equipment directly to the internet router or ensure your workstation is in close proximity to the router. Please ensure that you are able to meet these expectations before applying. At Ascensus, we aspire to make a difference for others. We are a technology-enabled services company that helps people save for a better future through our network of institutional, financial advisor, and state partners. Our culture is guided by sound principles, is committed to high standards, operates with transparency, and welcomes diversity-housed within our Core Values: People Matter. Quality First. Integrity Always. Ascensus provides equal employment opportunities to all associates and applicants for employment without regard to ancestry, race, color, religion, sex, (including pregnancy, childbirth, breastfeeding and/or related medical conditions), gender, gender identity, gender expression, national origin, age, physical or mental disability, medical condition (including cancer and genetic characteristics), marital status, military or veteran status, genetic information, sexual orientation, criminal conviction record or any other protected category in accordance with applicable federal, state, or local laws ("Protected Status").

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.

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

About the team The Core Analytics Team is a centralized function to provide data-driven insights to business and products. We collaborate closely with our Product and Engineering teams to deliver the best experiences to our customer and maximize the value proposition for the business. About the role Roku is looking for a Sr. Data scientist to join the Core Analytics team supporting user privacy and integrity product. In this role, you will leverage data analytics to support and improve our user privacy and integrity initiatives, identifying trends, mitigating risks, and providing actionable insights to make our team more efficient and safeguard our users, understand privacy behavior of consumers and provide insights that help guide strategic product and business decision. You will work closely with product management and engineering to identify opportunities to create new features, drive their adoption, and generate value for Roku. This individual will investigate and develop solutions to track, monitor and improve our ecosystem. The successful candidate is quantitatively driven, detail-focused, and possesses an elevated level of problem-solving expertise. This role can be located in Boston, NYC, Austin, or Chicago. What you'll be doing Develop and maintain dashboards, reports, and data visualizations to monitor key metrics for operational and systems health Analyze structured and unstructured data and communicate insights to help stakeholders solve business problems, identify trends and make data-driven decisions Develop necessary data pipelines to power automation, validation and reporting Collaborate with stakeholders to align data science initiatives with organizational goals and strategy design and execute A/B tests Develop analytical tools (real-time alerts, models, etc.) to understand what drives success for our privacy product Perform exploratory data analysis on emerging trends and execute advanced analysis across the Roku Platform Collaborate with the Program Management and Engineering team to proactively seek and incorporate feedback Providing feedback directly to leadership on performance of various initiatives and untapped opportunities We're excited if you have 5+ years of work experience with a bachelor's degree or master's degree in quantitative field (e.g., Statistics, Business Analytics, Data Science, Mathematics, Economics, Engineering or Computer Science) 5+ years of experience across mobile, consumer product, digital media or entertainment industries Expertise in SQL, SAS, R, Python or other programming language to query data and perform analysis Preference for those with experience working on consumer data, privacy controls, and role based access controls (RBAC) Ability to work cross functionally to implement data governance practices and further advance privacy protections Hands on experience with visualization tools like Tableau or Looker Have a bias towards action in resolving issues and operate in a high-energy, fast-paced environment Hands on experience in A/B testing and statistical modeling/forecasting

**Summary /** **O** **bjectiv** **e** Serve as the technical expert and project manager for the annual funding, accounting, and compliance requirements for defined benefit pension plans. **R** **espo** **nsi** **bili** **t** **ies** + Leverage tools and resources to provide clients with innovative and effective solutions + Assist in the development and delivery of quality client communication and deliverables in support of Senior Consultants + Prepare and manage internal project deadlines + Prepare, technically review, and serve as primary contact to clients on annual service offerings + Review pension benefit calculations in accordance with plan provisions, Internal Revenue Code, ERISA, and other legal regulations + Oversee annual employee pension statement projects + Assist in completing and managing non-routine client work such as plan design, plan termination, benefit statements, and other special projects + Assist in the development and training of student-level staff **Skills & Qualifications** - Bachelor degree in math, actuarial science, or other related field - One or more credentials from the Society of Actuaries or Joint Board of Enrolled actuaries required - If not fully credentialed, pursuit of FSA is required - ProVal experience a strong plus - Project management experience - Strong communication skills, including client consulting and presentations _Be aware of employment fraud. All email communications from Ascensus or its hiring managers originate ****************** ****************** email addresses. We will never ask you for payment or require you to purchase any equipment. If you are suspicious or unsure about validity of a job posting, we strongly encourage you to apply directly through our website._ Ascensus provides equal employment opportunities to all associates and applicants for employment without regard to ancestry, race, color, religion, sex, (including pregnancy, childbirth, breastfeeding and/or related medical conditions), gender, gender identity, gender expression, national origin, age, physical or mental disability, medical condition (including cancer and genetic characteristics), marital status, military or veteran status, genetic information, sexual orientation, criminal conviction record or any other protected category in accordance with applicable federal, state, or local laws ("Protected Status").