Senior Data Scientist Jobs in Jollyville, 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

The Applied Research team addresses hard, novel challenges that arise in product development or customer engagements. As a Senior Data Scientist, Energy you'll bring your knowledge and proven data science expertise to conduct research in machine learning-based solutions that improve our products and help our customers. Qualified candidates are deeply analytical with a keen understanding of artificial intelligence, machine learning, and data science. They are experienced researchers who know how to design worthwhile experiments and empirically derive conclusions. They have the ability, inclination, and experience to conduct research that solves practical problems. They have the communication skills to work closely with both research colleagues and customers. You will: * Independently and effectively engage with internal product developers, external customers, and subject matter experts to understand and solve critical technical challenges through the application of cutting-edge artificial intelligence * Conduct research and design technical solutions that improve models for commercial and industrial applications, such as anomaly detection, simulation, optimization, forecasting, etc * Conduct research on core challenges facing applications of artificial intelligence, such as transparency, explainability, transferability and continuous learning * Pioneer procedures and/or automated toolsets to more efficiently and effectively perform data science activities * Contribute to AI product development and key data science research areas, internally and externally * Propose new projects or initiatives that will yield business benefits and evaluate project plans and proposals * Evaluate and respond to RFPs related to artificial intelligence * Conduct research and write patent applications and technical publications * Serve as a people manager to other data scientists, as needed You'll Have: * Experience with research-level innovation in Data Science and ML, preferably with an advanced degree. * 3-5 years of experience in the energy industry, with extensive knowledge of AI-based modeling, simulation and optimization * Strong understanding of Data Science, including machine learning, statistics, probability, and modeling. * Significant experience with Data Science programming languages, such as Python, R, Matlab * Significant experience with machine learning frameworks, such as PyTorch, TensorFlow, Theano, and Keras. * Applied knowledge of ML techniques/algorithms including linear models, neural networks, decision trees, Bayesian techniques, clustering, and anomaly detection * Significant experience managing large volumes of data (terabytes or more) * Experience with leading project teams, specifically data science teams * Strong written and verbal communications, ability to translate complex technical topics to internal and external stakeholders. Pay Range: $150,000 - $185,000 base salary. Pay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge, skills, and experience.

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.

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.

Senior Data Scientist Habitat Energy is a fast growing technology company focussed on the trading and algorithmic optimisation of energy storage and renewable assets around the world. Our mission is to deliver outstanding returns to our clients to increase the attractiveness of renewable energy globally and support the transition to a clean energy future. Our rapidly growing team of 90+ people in Austin, TX, Oxford, UK, and Melbourne, Australia brings together exceptionally talented and passionate people in the domains of energy trading, data science, software engineering and renewable energy management. We're hiring a Data Scientist in Austin, Texas, to lead advanced forecasting development and mentor a high-performing team. This role combines probabilistic forecasting expertise with commercial acumen to drive value in power markets. The successful candidate will collaborate across teams to scale forecasting systems and transform insights into operational advantage. Your responsibilities will include: Team Leadership & Development * Lead and grow a forecasting team in Austin, fostering technical excellence and continuous learning. Provide mentorship, career guidance, and technical direction while establishing best practices. Forecasting Systems & Productionization * Design and implement scalable forecasting systems, ensuring robust performance. Collaborate with MLOps and DevOps teams to productionize solutions and integrate new methodologies. Forecast Quality & Improvement * Maintain high forecast accuracy, calibration, and reliability. Develop evaluation frameworks, refine methodologies, and incorporate new data sources for continuous improvement. Stakeholder Management & Collaboration * Translate business needs into technical requirements. Work with trading, operations, and commercial teams to ensure forecasting solutions drive value. Present insights to senior management. Innovation & Research * Lead research initiatives, explore new forecasting techniques, and collaborate with academic and industry partners to enhance methodologies. Strategic Planning & Execution * Develop and execute the forecasting roadmap, aligning objectives with business goals. Manage resources and priorities for timely delivery. Quality Assurance & Risk Management * Implement robust model validation and monitoring systems to detect forecast degradation. Ensure compliance with industry standards and best practices. 'Must have' skills and experience: * Expertise in statistical modelling, time series analysis, and machine learning for forecasting, with a focus on probabilistic methods and uncertainty quantification. * Strong understanding of power markets, including supply-demand dynamics, grid constraints, and pricing mechanisms. * Knowledge of power grid operations, transmission constraints, and reliability requirements. * Proven leadership in developing technical teams. * Based in or willing to relocate to Austin, working at least two days in the office. * Proficient in Python and data science tools (Polars, Pandas, NumPy, PyTorch, Scikit-learn). * Experience with large-scale forecasting and scalable methodologies. * Skilled in communicating complex statistical concepts to technical and non-technical stakeholders. * Experience in MLOps, DevOps, and productionising machine learning solutions. * Strong collaboration with commercial, business development, and product teams. * Expertise in forecast evaluation, error analysis, and model improvement. * Proven ability to identify and validate predictive signals. * Experience with Git and managing team development workflows. 'Nice to have' skills and experience: * Experience in ERCOT power market forecasting, including load, price, and renewable generation. * Deep understanding of ERCOT market design, nodal pricing, and settlement. * Familiarity with US ISOs (PJM, MISO, CAISO, SPP) and their market differences. * Knowledge of optimal power flow (OPF) for market modelling. * Expertise in distributed hyperparameter optimisation for large-scale models. * Strong background in probabilistic forecasting, generative time series modelling, and uncertainty calibration. * Experience analysing weather impacts on grid operations and market prices. * Knowledge of renewable integration challenges and market effects. * Proven track record of publishing or presenting forecasting methodologies. * Experience with AWS, automated model deployment, and monitoring. * Background in causal inference for forecasting. * Understanding of regulatory frameworks and market behaviour. * Success in developing high-value predictive features. Ultimately we are looking for someone who is a great fit for our company so we encourage you to apply even if you may not meet every requirement in this posting. We value diversity and our environment is supportive, challenging and focused on the consistent delivery of high quality, meaningful work. In return, we'll give you a competitive salary, flexible working arrangements and a lot of personal development opportunities. We operate a hybrid working model with at least 2 days in our office in Austin. When you apply for a job with us, we process some of your personal information. You can find out more about how we process your information in our candidate privacy policy, here.

This role is based remotely but if you live within a 50-mile radius of [Atlanta, Austin, Detroit, Warren, Milford or Mountain View], you are expected to report to that location three times a week, at minimum. **The Role** The Marketing Applied Sciences team is responsible for developing analytics-driven solutions to help GM Marketing Organizations achieve their business goals. The Senior Data Scientist will work as part of this multi-disciplinary team that will be driving solution design, development, and deployment of analytic models in support of marketing strategies. They are knowledgeable in methodology and practice of marketing analytics with an emphasis on inferential and prescriptive methods. This individual has experience with website, email, and media measurement. This person will work closely with teammates in Marketing Applied Sciences and stakeholders in GM's Marketing organization to ensure objective performance evaluation and optimization of media strategy. This senior data scientist will assist in the research and development of advanced marketing models, drawing insights, and creating scalable products across owned & paid channels. They will be part of a team focused on delivering future-focused, consumer-centric, prescriptive solutions that allow GM to stay proactive and nimble in our exciting transition to EVs **What You'll Do** + Work on a diverse, cross-functional team (technical and non-technical) to help implement high-impact, data-driven solutions to address business challenges in the vehicle brand marketing teams, ensuring that project deliverables fulfill business needs and timing. + Possess contextual business knowledge and functional domain expertise in the advertising and media space as well as familiarity with marketing media measurement techniques including site/clickstream measurement, A/B testing, and various industry measurement media platforms. + Apply advanced data-driven modeling techniques to inform decision making and solve complex business problems: preprocessing multisource data; and presenting complex information using data visualization techniques. + Demonstrate an ability for using data, analytics, and insights driving business-impact. + Exhibit a perspective of constrained curiosity, asking why, and suggesting experimentation to drive incremental impact. + Effectively communicate through telling a succinct, data-driven story in any forum, tailoring delivery to a wide range of stakeholder levels from analyst to senior executive. **Your Skills & Abilities (Required Qualifications)** + 5+ years of experience as a data Scientist or in a related role, developing, deploying, and monitoring performance of large analytic data sets and machine learning based models + Master's Degree or Ph.D. in Marketing Science, Econometrics, Statistics, Psychometrics, (Bio) Statistics, Applied Mathematics, Operations Research, or another quantitative field. + 2+ years of experience working with site/clickstream measurement, A/B testing, and various industry measurement media platforms + Expertise with fundamental statistical concepts and considerations for selecting an appropriate modeling technique. + Proficient writing Python/R (modeling) and SQL/Spark (data), working with Pandas, StatsModels, PYMC, TensorFlow, Pytorch, Spark/ML, sklearn, numpy and related packages. + Ability to prioritize and manage multiple tasks and projects at once without sacrificing quality. **What Can Give You a Competitive Advantage (Preferred Qualifications)** + Experience with cloud compute platforms such as Azure with Databricks experience being especially valuable. + Familiarity with advanced methods such as: customer lifetime value, media mix modeling (MMM), multi-touch attribution (MTA), consumer choice (multinomial logit), time-series forecasting, hierarchical bayes, panel-data methods (fixed/random effects), censored/truncated regressions, selection models, non-random treatment effects, hazard /survival models, structural equation modeling, item response theory, latent class regression. + Prior experience with paid, earned, and owned media and/or marketing analytics **Additional Job Description** This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate. Compensation: + The expected base compensation for this role is: $130,800- $232,900. Actual base compensation within the identified range will vary based on factors relevant to the position. + **Bonus Potential:** An incentive pay program offers payouts based on company performance, job level, and individual performance. + **Benefits** : GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE. \#LI-CC1 **About GM** Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. **Why Join Us** We aspire to be the most inclusive company in the world. We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Our Work Appropriately philosophy supports our foundation of inclusion and provides employees the flexibility to work where they can have the greatest impact on achieving our goals, dependent on role needs. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team. **Benefits Overview** The goal of the General Motors total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan incudes, the following benefits, in addition to many others: - Paid time off including vacation days, holidays, and parental leave for mothers, fathers and adoptive parents; - Healthcare (including a triple tax advantaged health savings account and wellness incentive), dental, vision and life insurance plans to cover you and your family; - Company and matching contributions to 401K savings plan to help you save for retirement; - Global recognition program for peers and leaders to recognize and be recognized for results and behaviors that reflect our company values; - Tuition assistance and student loan refinancing; - Discount on GM vehicles for you, your family and friends. **Diversity Information** General Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. We understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteer opportunities. GM is proud to be an equal opportunity employer. We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities. **Equal Employment Opportunity Statements** GM is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. GM is committed to providing a work environment free from unlawful discrimination and advancing equal employment opportunities for all qualified individuals. As part of this commitment, all practices and decisions relating to terms and conditions of employment, including, but not limited to, recruiting, hiring, training, promotion, discipline, compensation, benefits, and termination of employment are made without regard to an individual's protected characteristics. For purposes of this policy, "protected characteristics" include an individual's actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression, sexual orientation, weight, height, marital status, military service and veteran status, physical or mental disability, protected medical condition as defined by applicable state or local law, genetic information, or any other characteristic protected by applicable federal, state or local laws and ordinances. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about: **Our Company (************************************************** **Our Culture** **How we hire (************************************************ Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility. **Explore our global location** **s** The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

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. 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.

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.

Company: Ultra Intelligence & Communications Command, Control, Intelligence & Encryption (C2I&E) Provide Decision Advantage to Mission Partners Around the World Join us in our mission to provide the world's military members with the latest, most customizable solutions and capabilities, enabling mission success anywhere around the globe. At Ultra Intelligence and Communications (I&C), we provide critical, tactical capabilities to enhance and accelerate decision-making in the most challenging environments. By joining us, you will experience unrivaled opportunities for growth and innovation and be a part of a dynamic and diverse team that pushes boundaries and drives meaningful change in intelligence and communications. Command, Control, Intelligence, and Encryption (C2I&E) By joining our Command, Control, Intelligence, and Encryption (C2I&E) business, you will be a member of a team dedicated to providing innovative solutions that streamline the preparation and execution of intricate, mission-critical operations. We focus on enhancing situational awareness, tactical command and control, and seamless video data exchange capabilities within a dynamic, multi-domain environment. Job Description We are seeking a skilled Data Scientist to support advanced data analysis and systems engineering initiatives. This role leverages advanced techniques to solve real-world challenges, enhance system operations, and optimize sensor and other product configurations, enabling mission partners to make fast, data-driven decisions in complex environments. The position requires close collaboration with government stakeholders and offers the opportunity to drive innovation and make a meaningful impact on mission-critical systems. This hybrid position may be worked in Austin, TX or Huntsville, AL. * Leverages machine learning and statistical techniques to analyze large, multi-dimensional datasets and uncover actionable insights for decision-making. * Develops predictive models to forecast trends, identify patterns, and evaluate potential mission outcomes. * Collaborates with cross-functional teams to design, implement, and deploy end-to-end data solutions. * Cleans, organizes, and structures raw data, preparing it for further analysis and visualization. * Communicates complex findings to both technical and non-technical stakeholders, translating data insights into clear, actionable information. * Contributes to developing and refining data governance and data quality standards across the organization. * Other tasks as assigned. Required Skills & Qualifications: * Minimum of 5 years of experience in data science, analytics, or related fields. * Active US Government Security Clearance at the Secret level at time of hire. Clearances are granted to US Citizens. * Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or related STEM field. * Proficiency in Python, R, and SQL for data manipulation, analysis, and modeling. * Familiarity with machine learning libraries (e.g., Scikit-learn, TensorFlow) and data visualization tools (e.g., Tableau, Power BI). Desired Skills & Qualifications: * Experience with cloud platforms (e.g., AWS, Azure), Kubernetes and big data tools (e.g., Hadoop, Spark). * Knowledge of deep learning, NLP, or other specialized data science domains. * Strong analytical and problem-solving skills, with the ability to work in a fast-paced, dynamic environment. * Familiarity with data governance, data privacy regulations, and best practices in secure data handling. #IC #LI-Hybrid #LI-DA1 Notice Due to the nature of the programs we deliver for our customers, candidates may need to obtain the relevant security clearance or handle export-controlled material as defined by the role's requirements. Our Benefits Every employee is critical to our success, and as such, we offer a range of flexible employee benefits, including: * Annual Bonus - Annual Bonus - Performance Related * Competitive Paid Time Off (PTO) package plus 11 company holidays * Early finish on Friday * 401K w/ company match * Medical/Dental/Vision Benefits * Student Loan Assistance Program * Array of voluntary benefit offerings Diversity, Equity & Inclusion Statement At Ultra I&C, we are an equal opportunity employer and value diversity and inclusivity. Underpinned by our values, behaviors, and policies, we want you to feel empowered to be the best version of yourself. We also believe that people from different backgrounds and cultures will increase our diversity of thinking, ensuring we successfully deliver to our customers. We, therefore, do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We also support requests for flexible working arrangements wherever possible. If you have any issues with your application, please email us at ********************. Reasonable accommodation statement: if you need accommodation for any part of the application process, please email ********************. We abide by the requirements of 41 CFR 60-1.4(a), 60.300-.5 (a), and 60-741.5(a). These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity, or national origin and for inquiring about, discussing, or disclosing compensation. Moreover, these regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

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

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.

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

Senior Data Scientist Habitat Energy is a fast growing technology company focussed on the trading and algorithmic optimisation of energy storage and renewable assets around the world. Our mission is to deliver outstanding returns to our clients to increase the attractiveness of renewable energy globally and support the transition to a clean energy future. Our rapidly growing team of 90+ people in Austin, TX, Oxford, UK, and Melbourne, Australia brings together exceptionally talented and passionate people in the domains of energy trading, data science, software engineering and renewable energy management. We have a vacancy for a Data Scientist to join our Austin team based in Texas. This role will drive the development and implementation of advanced optimization and forecasting models, focusing on trading (DART), storage (BESS), portfolio, and congestion management across US power markets. Your responsibilities will include: Develop Forecasting Models and Decision Support Tools Create and maintain models for price forecasting, scenario analysis, and decision support, including machine learning models for energy market predictions and real-time forecasting. Optimization Model Development and Maintenance Develop and maintain optimization models for energy storage and solar + storage systems, maximizing portfolio performance and integrating market dynamics across ISOs. Congestion Modeling and Management Build models to forecast and mitigate congestion risks, optimizing bidding strategies and asset dispatch in constrained markets. Support Business Development Develop tools to backtest asset performance, collaborate with teams to prepare client materials, and provide insights for strategic initiatives. Deployment and Integration Work with Software Engineering and DevOps teams to deploy scalable, robust forecasting and optimization models. Innovation and Tool Optimization Use experimental approaches to enhance modeling techniques for forecasting, decision-making, congestion management, and portfolio optimization. ‘Must have' skills and experience: You have at least 3 years of commercial experience developing and productionising real-time projects in Machine Learning and Data Science. Experience with short term US power markets Experience building algorithmic decision tools (e.g. mixed-integer linear programming, CVXPY). You have experience bringing your creative output to support development of quarterly product roadmaps. You are fluent in Python and its wider numerical ecosystem (Pandas, NumPy, Scikit-learn, Polars, etc.). You have a BA/BSc degree in Computer Science, Machine Learning, Electrical Engineering, or related technical field. Version control code (Git) including dev, test and production environments. ‘Nice to have' skills and experience: Experience trading virtual and/or asset-backed positions in one or more major US Power Market (ideally ERCOT) Electricity & energy domain modelling (e.g. power systems modeling, power flow, security constrained unit commitment etc.) Full-stack / machine learning engineering / data engineering experience Experience with forecasting & time series problems Experience with data visualization and dashboarding technologies (e.g. plot.ly, Dash, Streamlit) Demonstrated track record of academic paper (NeurIPS, ICLR, ICML; and/or papers on power systems, optimization or other related topics) AWS, terraform, continuous integration, monitoring and alerting. MS or PhD degree in Computer Science, Machine Learning, or related technical field. Ultimately we are looking for someone who is a great fit for our company so we encourage you to apply even if you may not meet every requirement in this posting. We value diversity and our environment is supportive, challenging and focused on the consistent delivery of high quality, meaningful work. In return, we'll give you a competitive salary, flexible working arrangements and a lot of personal development opportunities. We operate a hybrid working model with at least 2 days in our office in Austin. When you apply for a job with us, we process some of your personal information. You can find out more about how we process your information in our candidate privacy policy, here.

The Applied Research team addresses hard, novel challenges that arise in product development or customer engagements. As a Senior Data Scientist, Supply Chain, you'll bring your knowledge and proven data science expertise to conduct research in machine learning-based solutions that improve our products and help our customers. Qualified candidates are deeply analytical with a keen understanding of artificial intelligence, machine learning, and data science. They are experienced researchers who know how to design worthwhile experiments and empirically derive conclusions. They have the ability, inclination, and experience to conduct research that solves practical problems. They have the communication skills to work closely with both research colleagues and customers. You will: * Independently and effectively engage with internal product developers, external customers, and subject matter experts to understand and solve critical technical challenges through the application of cutting-edge artificial intelligence * Conduct research and design technical solutions that improve models for commercial and industrial applications, such as anomaly detection, prescriptive maintenance, and fraud detection * Conduct research on core challenges facing applications of artificial intelligence, such as transparency, explainability, transferability and continuous learning * Pioneer procedures and/or automated toolsets to more efficiently and effectively perform data science activities * Contribute to AI product development and key data science research areas, internally and externally * Propose new projects or initiatives that will yield business benefits and evaluate project plans and proposals * Evaluate and respond to RFPs related to artificial intelligence * Conduct research and write patent applications and technical publications * Serve as a people manager to other data scientists, as needed You'll Have: * Experience with research-level innovation in Data Science and ML, preferably with an advanced degree. * 3-5 years of experience in the supply chain industry, with a strong background in supply chain management, especially warehouse management, inventory modeling and prediction. * Strong understanding of Data Science, including machine learning, statistics, probability, and modeling. * Significant experience with Data Science programming languages, such as Python, R, Matlab * Significant experience with machine learning frameworks, such as PyTorch, TensorFlow, Theano, and Keras. * Applied knowledge of ML techniques/algorithms including linear models, neural networks, decision trees, Bayesian techniques, clustering, and anomaly detection * Significant experience managing large volumes of data (terabytes or more) * Experience with leading project teams, specifically data science teams * Strong written and verbal communications, ability to translate complex technical topics to internal and external stakeholders.

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.

About the team At Roku, as a Senior Data Scientists you will leverage Big Data to generate insights that fuel Roku's most significant business decisions. As a Senior Data Scientist, you will also use a combination of technical skills, business intuition, and analytical thinking to partner with business leaders and provide actionable recommendations. Senior Data Scientists at Roku are thought partners to executive business leaders, so communication and presentation are enormously important. Senior Data Scientists do not take direction from business owners and execute ad-hoc questions. You will proactively identify the areas of the data and business that require attention and formulate analyses, insights, and recommendations based on an excellent command of the needs. The Senior Data Scientist role at Roku is a perfect fit for anyone who wants to continue to evolve business domain expertise alongside technical and analytical development. About the role: Roku is looking for a Sr. Data scientist to join the Core Analytics team supporting the Operations team. As a Sr. Data Scientist, you will bring strong technical experience retrieving, manipulating, analyzing, and visualizing data. Just as importantly, you will bring excellent communication skills, proven collaboration track record, and business acumen. The ideal candidate will have endless curiosity and can pair a global mindset with locally relevant execution. You should be a gritty problem solver and self-starter who can help drive initiatives with internal stakeholders. The successful candidate will display a balance of hard and soft skills, including the ability to respond quickly to changing business needs. This role is hybrid and located in Austin, TX. Roku will be accepting applications for this position until May 27, 2025 [or until the position filled]. 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 data visualizations that illustrate complex platform phenomena using Looker, Tableau etc. Develop necessary data pipelines to power automation, validation and reporting. Use creativity to find proxies where verbatim data or measurement is unavailable Collaborate with stakeholders to align data science initiatives with organizational goals and strategy design and execute AB tests Stay updated with the latest trends and technologies in data science to drive innovation We're excited if you have: 5+ years of relevant experience in data analytics, data science or business intelligence role. Previous experience in Logistics, operations, product analytics is preferred. Excellent command of SQL and experience working with Big Data Experience coding in Python or R. Hands-on experience with data visualization platform like Tableau, Looker, or similar Statistics knowledge: A/B testing, statistical inference, interpretation of data Have a bias towards action in resolving issues and operate in a high-energy, fast-paced environment Self-driven, highly motivated, and independent minded individual who has a natural curiosity for understanding operations via data. Strong communication skills. Composes and communicates materials and information that is clear, concise, and appropriate to the intended audience. Excellent investigative skills with a passion for finding the root cause of an issue. The ability to work independently and across multiple time zones Ownership mindset, you own end to end lifecycle of a product starting from ideation, rollout to post-launch performance tracking Academic background in math, physics, computer science, economics #LI-EG1

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