Data Scientist Jobs in Orange, CA

Seeking a Senior Data Engineer for the following role - Basic Qualifications 5+ years of relevant data engineering experience with specific experience in Airflow, Snowflake and Databricks. 1+ years of experience in Python. Strong understanding of data modeling principles including Dimensional modeling, data normalization principles. Good understanding of SQL engines and able to conduct advanced performance tuning. Ability to think strategically, analyze and interpret market and consumer information. Strong communication skills - written and verbal presentations. Excellent conceptual and analytical reasoning competencies. Comfortable working in a fast-paced and highly collaborative environment. Familiarity with Agile Scrum principles and ceremonies. Preferred Qualifications 2+ years of work experience implementing and reporting on business key performance indicators in data warehousing environments, required. 2+ years of experience using analytic SQL, working with traditional relational databases and/or distributed systems (Snowflake or Redshift), required. 1+ years of experience with data orchestration/ETL tools (Airflow, Nifi), preferred. Experience with Snowflake, Databricks/EMR/Spark, and/or Airflow. Education BS in Computer Science, Information Systems The estimated pay range for this position is USD $85.00/hr - USD $91.50/hr. Exact compensation and offers of employment are dependent on job-related knowledge, skills, experience, licenses or certifications, and location. We also offer comprehensive benefits. The Talent Acquisition Partner can share more details about compensation or benefits for the role during the interview process.

Data Engineer - Hybrid (3 Days Onsite) - $120,000 - $140,000 per year on the base Our client is seeking an experienced Data Engineer to join their team in Irvine, CA on a hybrid basis (3 days onsite per week). Key Responsibilities: Design, develop, and manage AWS-based data solutions. Implement ETL processes and optimize SQL-based data pipelines. Work on Machine Learning and AI initiatives to improve data analytics. Collaborate with stakeholders to define data strategies for logistics, supply chain, and manufacturing operations. Utilize Power BI for data visualization and reporting. Requirements: 5+ years of experience in AWS data engineering. Strong skills in SQL, ETL, and Python. Exposure to Machine Learning and AI is preferred. Experience in logistics, manufacturing, or supply chain industries. Strong communication and stakeholder engagement skills. Hybrid work schedule - must be able to work in the office at least 3 days a week. If you are interest, apply today!

Job Summary: We are seeking a highly skilled and motivated Big Data Engineer to join our client's Big Data Platform team within the streaming domain. This role offers an exciting opportunity to work with large-scale data solutions that drive critical business decisions, including product design, advertising effectiveness, content discovery, and new market expansions. Our team values data as a core asset, leveraging it to enhance user experience, support advertisers, and empower content partners. We are looking for a technically proficient candidate who is eager to innovate and build cutting-edge data solutions. Key Responsibilities: Design, develop, and optimize scalable data solutions. Collaborate with cross-functional teams to drive data-driven decision-making. Implement and maintain batch and real-time data processing frameworks. Ensure data integrity, security, and compliance with industry best practices. Enhance self-service data capabilities for internal stakeholders. Basic Qualifications: Bachelor's degree in Computer Science, Information Systems, Software Engineering, or a related field, or equivalent work experience. Minimum of 3 years of experience in big data engineering, including modeling and developing large data pipelines. Proficiency in programming languages such as Scala, Java, and Python. Strong expertise in Hadoop ecosystem components, including Yarn and Resource Manager. Hands-on experience with distributed systems and batch processing technologies such as Apache Spark. Strong SQL skills for data exploration and analysis. Understanding of Software Development Lifecycle (SDLC) and best practices. Preferred Qualifications: Experience with real-time data processing technologies like Apache Flink. Familiarity with CI/CD pipelines for streamlined development and deployment. Ability to design and develop user interfaces for self-service data access. Strong problem-solving skills and ability to bridge technical and non-technical teams. Experience in integrating complex systems and enhancing software development practices.

Data Engineering Architect We are seeking an experienced Data Engineering Architect to design and implement scalable data solutions for our organization. The ideal candidate will have deep expertise in cloud data warehousing, ETL/ELT processes, data modeling, and business intelligence. Responsibilities: • Design and architect end-to-end data solutions leveraging AWS Redshift, Apache Airflow, dbt, and other modern data tools • Develop data models and implement data pipelines to ingest, transform, and load data from various sources into our Redshift data warehouse • Create and maintain Apache Airflow DAGs to orchestrate complex data workflows and ETL processes • Implement data transformations and modeling using dbt to ensure data quality and consistency • Design and optimize Redshift clusters for performance, scalability, and cost-efficiency • Collaborate with data analysts and scientists to expose data through Tableau dashboards and reports • Establish data governance practices and ensure data security/compliance • Mentor junior data engineers and promote best practices across the data team • Evaluate new data technologies and make recommendations to improve our data architecture Requirements: • 7+ years of experience in data engineering, with at least 3 years in an architect role • Deep expertise with AWS Redshift, including data modeling, query optimization, and cluster management • Strong experience with Apache Airflow for workflow orchestration and scheduling • Proficiency with dbt for data transformation and modeling • Experience creating dashboards and reports in Tableau • Excellent SQL skills and experience with Python • Knowledge of data warehousing concepts and dimensional modeling • Strong communication skills and ability to work cross-functionally • Bachelor's or Master's degree in Computer Science, Engineering, or related field

About Us: LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 700+ clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by nearly 90,000 talented and entrepreneurial professionals across more than 30 countries, LTIMindtree - a Larsen & Toubro Group company - combines the industry-acclaimed strengths of erstwhile Larsen and Toubro Infotech and Mindtree in solving the most complex business challenges and delivering transformation at scale. For more information, please visit ******************** Job Title: Senior Data Integration ETL Engineer Lead Work Location USA (Irvine, CA) (Onsite/Hybrid) Job Description: Design implement and manage AWS Cloud Infrastructure to ensure high availability scalability and security Develop and maintain CICD pipelines to automate the deployment process and ensure smooth and efficient software delivery Monitor system performance and security and implement necessary measures to ensure optimal operation Lead the adoption and implementation of Helix ensuring seamless integration with existing systems Provide support for Data Platform Services ensuring data integrity availability and performance Create and maintain detailed documentation on DevHub ensuring all processes and procedures are well documented and easily accessible Qualifications Proven experience in AWS Cloud Infrastructure CICD Monitoring and Security Strong knowledge of Helix adoption and implementation Experience supporting Data Platform Services Excellent documentation skills and experience with DevHub Strong problem-solving skills and the ability to work in a fast paced environment Excellent communication and leadership skills Mandatory Skills: ANSI-SQL, Cognos Analytics, MicroStrategy, MS Excel, PowerBI, Python, QlikView, SAP Business Objects, Tableau Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (“LTIM”): Benefits and Perks: Comprehensive Medical Plan Covering Medical, Dental, Vision Short Term and Long-Term Disability Coverage 401(k) Plan with Company match Life Insurance Vacation Time, Sick Leave, Paid Holidays Paid Paternity and Maternity Leave The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training.Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation. Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting. LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law. Safe return to office: In order to comply with LTIMindtree' s company COVID-19 vaccine mandate, candidates must be able to provide proof of full vaccination against COVID-19 before or by the date of hire. Alternatively, one may submit a request for reasonable accommodation from LTIMindtree's COVID-19 vaccination mandate for approval, in accordance with applicable state and federal law, by the date of hire. Any request is subject to review through LTIMindtree's applicable processes.

On any given day at Disney Entertainment & ESPN Technology, we're reimagining ways to create magical viewing experiences for the world's most beloved stories while also transforming Disney's media business for the future. Whether that's evolving our streaming and digital products in new and immersive ways, powering worldwide advertising and distribution to maximize flexibility and efficiency, or delivering Disney's unmatched entertainment and sports content, every day is a moment to make a difference to partners and to hundreds of millions of people around the world. A few reasons why we think you'd love working for Disney Entertainment & ESPN Technology Building the future of Disney's media business: DE&E Technologists are designing and building the infrastructure that will power Disney's media, advertising, and distribution businesses for years to come. Reach & Scale: The products and platforms this group builds and operates delight millions of consumers every minute of every day - from Disney+ and Hulu, to ABC News and Entertainment, to ESPN and ESPN+, and much more. Innovation: We develop and execute groundbreaking products and techniques that shape industry norms and enhance how audiences experience sports, entertainment & news. The Data Reliability Engineering team for Disney's Product and Data Engineering team is responsible for maintaining and improving the reliability of Disney Entertainment's big data platform, which processes hundreds of terabytes of data and billions of events daily. About The Role The Lead Data Engineer will help us in the ongoing mission of delivering outstanding services to our users allowing Disney Entertainment to be more data-driven. You will work closely with our partner teams to monitor and drive improvements for reliability and observability of their critical data pipelines and deliverables. This is a high-impact role where your work informs decisions affecting millions of consumers, with a direct tie to The Walt Disney Company's revenue. You will be making an outsized impact in an organization that values data as its top priority. We are a tight and driven team with big goals, so we seek people who are passionate about solving the toughest challenges and working at scale, using, supporting, and building distributed systems in a fast-paced collaborative team environment. We also support a healthy work-life-balance. Responsibilities Assist in designing and developing a platform to support incident observability and automation. This team will be required to build high quality data models and products that monitor and reports on data pipeline health and data quality. Lead project work efforts internally and externally setting project deliverables, review design documents, perform code reviews and help mentor junior members of the team. Collaborate with engineering teams to improve, maintain, performance tune, and respond to incidents on our big data pipeline infrastructure. Own building out key components for observability and intelligent monitoring of data pipelines and infrastructure to achieve early and automated anomaly detection and alerting. Present your research and insights to all levels of the company, clearly and concisely. Build solutions to continually improve our software release and change management process using industry best practices to help DSS maintain legal compliance. Basic Qualifications 7+ years of experience working on mission critical data pipelines and ETL systems. 7+ years of hands-on experience with big data technology, systems and tools such as AWS, Hadoop, Hive, and Snowflake Detailed problem-solving approach, coupled with a strong sense of ownership and drive A passionate bias to action and passion for delivering high-quality data solutions Expertise with common Data Engineering languages such as Python, Scala, Java, SQL and a proven ability to learn new programming languages Experience with workflow orchestration tools such as Airflow Deep understanding of end-to-end pipeline design and implementation. Attention to detail and quality with excellent problem solving and interpersonal skills Preferred Qualifications Advanced degrees are a plus. Strong data visualizations skills to convey information and results clearly Ability to work independently and drive your own projects. Exceptional interpersonal and communication skills. Impactful presentation skills in front of a large and diverse audience. Experience with DevOps tools such as Docker, Kubernetes, Jenkins, etc. Innate curiosity about consumer behavior and technology Experience with event messaging frameworks like Apache Kafka A fan of movies and television is a strong plus. Required Education Bachelor's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience Additional Information #DISNEYTECH The hiring range for this position in Santa Monica, California is $152,200 to $204,100 per year, in Bristol, Connecticut is $152,200 to $204,100 per year, in Seattle, Washington is $159,500 to $213,900 per year. in New York City, NY is $159,500 to $213,900 per year, and in San Francisco, California is $166,800 to $223,600 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered. #J-18808-Ljbffr

Must Have Technical/Functional Skills • Strong with data modeling concepts (star schemas, snowflake schemas, highly normalized data models). • Data modeling tools - Erwin. • Data Warehouse database platforms - Snowflake, BigQuery, Databricks. • Knowledge and experience of at least one data profiling tool. • Familiar with ETL tools like DataStage/Informatica. • Experience with AWS services including S3, Lambda, Data-pipeline, and other data technologies • Conceptual knowledge of BI tools like Business Objects/Tableau is a plus. • Deep understanding of principles in data warehousing and cloud architecture with principles of SQL optimization for building very efficient and scalable data systems. • Excellent SQL programming skills. • Excellent problem solving skills. • Excellent communication skills with both business and technical customers. • Demonstrate a high level of integrity and maturity. • Work on multiple projects and deliver consistently on time. • Escalate issues appropriately to management and project team. • Take a proactive approach to cross-functional communication. • Actively seek out feedback from management and peers, to improve own performance based on that feedback Roles & Responsibilities • Interacting with Business Users/ Business Relationship Managers to understand the BI and analytical needs • Identify the right data sources / data completeness to meet the BI needs. • Data profiling to build the entity relationships across multiple sources. • Develop and maintain data dictionary for all the data sources (existing and new ones). • Build conceptual and logical data models considering the BI needs. • Develop optimized database design to achieve acceptable performance by tuning views, tables for proper response time. • Work with database administrators to implement data models into database platforms, ensuring data integrity and consistency. • Monitor database performance, identify bottlenecks, and optimize data models to improve query efficiency and data access speed. • Work closely with the IT teams in ETL design discussions adopting best practices of data load strategy. • Identify effective reporting techniques, identify the best data sources for each report, identify risks and constraints, and design reporting formats. • Create and maintain metadata describing the data model, including data lineage and definitions. • Data analyst skills to determine root cause problems for data integrity and data quality issues identified through QA or by business report owners. • Define data storage strategy Generic Managerial Skills: The BI Data Modeler will collaborate with various stakeholders from Business and other partners to understand data requirements and business needs. Should be able to design solutions in the form of Conceptual and Logic data models to meet business needs. Should have an ability to optimize data models for performance, scalability and ease of use. Should have the ability to maintain accuracy, completeness and consistency of the data models with up-to-date documentation and metadata. Shoul d be an expert in various BI tools, capture analytical and reporting requirements from the Business, analyze various data sources and provides BI solutions that helps to facilitate reporting and dashboarding. Should have extensive expertise on data profiling using data profile tools and modeling tools like Erwin. Should be able to build data models by reverse engineering the database structures. Should have experience in analyzing and handling unstructured data sources. Should have an ability to communicate complex data concepts to non-technical stakeholders. Design solutions based on the data lake concepts, use of data by consumers and provide solutions weighing in pros and cons of cons ETL Vs ELT approach. Ideal candidate is a “hands-on” type problem solver who will work directly with the data engineering and business data management teams to help profile, catalog and design views and conceptual data model, catalog data sources and define data quality rules based on business use cases. Salary Range: $85,000-$120,000 a year

Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect millions of entrepreneurs with millions of buyers around the world. As an Etsy Inc. employee, whether a team member of Etsy, Reverb, or Depop, you will tackle unique, meaningful, and large-scale problems alongside passionate coworkers, all the while making a rewarding impact and Keeping Commerce Human. Salary Range: $218,000.00 - $257,000.00 What's the role? As a Staff Applied Scientist, you will be responsible for initiating and delivering new solutions for the domain application of Recommendations. We are looking for individuals who are product & technology driven, and are passionate about making ML innovations in areas such as: Natural Language Processing, Representation Learning, Clustering, Optimization, Deep Learning, Graph Learning, and Reinforcement Learning to help improve the Etsy buyer/seller experience! This is a full-time position reporting to the Engineering Manager. In addition to salary, you will also be eligible for an equity package, an annual performance bonus, and our competitive benefits that support you and your family as part of your total rewards package at Etsy. For this role, we are considering candidates based in the United States. Candidates living within commutable distance of Etsy's Brooklyn Office Hub or in the San Francisco Bay Area may be the first to be considered. For candidates within commutable distance, Etsy requires in-office attendance once or twice per week depending on your proximity to the office. Etsy offers different work modes to meet the variety of needs and preferences of our team. Learn more details about our work modes and workplace safety policies here. What's this team like at Etsy? The Retrieval team builds capabilities to select relevant item-candidates to help product teams to provide personalized user experiences. We use machine learning algorithms to train models which can be used to choose relevant personalized candidate-sets for our recommendation engine. We are looking for an experienced machine learning scientist who can help build Etsy's next generation capabilities for the candidate generation. What does the day-to-day look like? * Initiate and lead a new track of works to enhance the capability of candidate generation for Etsy' Recommendation engine. * Develop innovative representations to capture salient signals of our users and listings, including aspects like content, function, budget, and preferences. * Develop models with custom architecture or objective functions that target Etsy-specific problems, including but not limited to personalized retrieval, ranking, revenue optimization, seller fairness, and seasonality. * Mentor other applied scientists and guide them during their projects * Work closely and collaboratively with software engineers, data scientists, product managers, and designers. * Of course, this is just a sample of the kinds of work this role will require! You should assume that your role will encompass other tasks, too, and that your job duties and responsibilities may change from time to time at Etsy's discretion, or otherwise applicable with local law. Qualities that will help you thrive in this role are: * Successful track record of applying deep learning machine learning techniques in addressing real-world problems and looking for opportunities to make impacts * Have extensive experience with machine learning and deep learning solutions across the entire machine learning stack, from data collection to evaluation * Ability to take on and lead unconstrained problems and know when to seek help and how to deliver * Ability to write and manipulate data at a large scale, in distributed environment * Shown success in developing productionized machine learning solutions. You are comfortable with using git, docker, airflow and other tools for developing robust, production-ready code * Have strong verbal and written communication skills * An M.S. or Ph.D. degree in Computer Science or related fields, with 5+ years of practical machine learning experience * Experience using Google Cloud Platform * Experience in representation learning * Experience in Approximate-Nearest- Neighbor (ANN) search * Experience in building production search, recommendations, advertising, knowledge base (structured data), or general e-commerce systems. * Experience using following frameworks: Spark Scala, Airflow, Kubflow, Tensorflow Additional Information What's Next If you're interested in joining the team at Etsy, please share your resume with us and feel free to include a cover letter if you'd like. As we hope you've seen already, Etsy is a place that values individuality and variety. We don't want you to be like everyone else -- we want you to be like you! So tell us what you're all about. Our Promise At Etsy, we believe that a diverse, equitable and inclusive workplace furthers relevance, resilience, and longevity. We encourage people from all backgrounds, ages, abilities, and experiences to apply. Etsy is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If, due to a disability, you need an accommodation during any part of the interview process, please let your recruiter know. While Etsy supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skills.

The applications data science team is looking for an experienced staff-level data scientist who can build machine learning modeling capabilities as well as lead the development of impactful data products and insights. We support user growth of subscription services, product and feature development, content expansion, and optimization. We cover a wide area of the data spectrum including statistical modeling, causal inference, machine learning, and product analytics.DescriptionAs a staff data scientist, you will be responsible for building models, providing insights, evaluating product launches, finding opportunities for future development, and many more. You will partner with engineers, the product team, business leaders, designers, and other teams to bring better experiences to our users and grow the business. Is this you? If yes, please apply! Engage with business teams to see opportunities, understand requirements, and translate those requirements into technical solutions. Manage large, sophisticated projects from conception to completion, identify risks and develop frameworks, evaluate impact, and regularly connect with collaborators and the leadership team. Develop, validate, and maintain advanced behavior, demographic, behavioral-based predictive models, tools, and other capabilities. Collaborate with data engineers to implement robust production decision pipelines. Collaborate with different teams to formulate innovative solutions to test and implement sophisticated data mining techniques. Measure the impact of growth initiatives for subscription businesses by improving user acquisition, conversion, and retention. Collaborate and influence other data scientist peers on modeling framework and statistical methods to uncover insights from large-scale data.Minimum Qualifications 2+ years at the staff level as a data scientist with experience leading the development of data products and insights, as well as building machine learning modeling capabilities. 6+ years of overall industry experience in the areas of data science, statistics, and/or modeling to support user growth of subscription services, product, and feature development. Practical experience and theoretical understanding of advanced quantitative methods, statistical & machine learning model development, including regression, classification, clustering, anomaly detection, time-series analysis, deep learning, etc. Excellent presentation skills, distilling sophisticated analysis and concepts into concise business-focused takeaways. Strong skills in managing priorities and collaborating with diverse groups of collaborators, including engineering, product, business, design, etc. Ability to extract product insights from data and identify the stories behind the patterns. Familiarity with data tools like Hadoop, Spark, Hive, etc. Bachelor's degree in the fields of Statistics, Applied Mathematics, Machine Learning, CS, Predictive Analytics, or similar academic areas, or the equivalent industry experience in a related field. Key QualificationsPreferred Qualifications M.Sc. or Ph.D. in the fields of Statistics, Applied Mathematics, Machine Learning, CS, Predictive Analytics, or similar academic areas. We prefer a strong product sense and a passion for user experience. Education & ExperienceAdditional RequirementsPay & Benefits At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $157,000 and $278,900, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.

About Direct To Consumer (DTC) Disney's Direct to Consumer team oversees the Hulu and Disney+ streaming businesses within Disney Entertainment helping to bring The Walt Disney Company's best-in-class storytelling to fans and families everywhere. The Walt Disney Company Direct to Consumer's (DTC) Data Science team combines deep data analysis and research of our rich user data to present a compelling vision around user retention and preferences across the vast ecosystem of our product offerings and content. We are the insights and modeling partners for the content, marketing, product, and engineering teams at Disney+, Hulu and ESPN+. As Data Scientists, we use data to empower decision-makers with information, predictions, and insights that ultimately influence the experiences of millions of users worldwide. If you are someone who loves to work cross-functionally, build models, perform statistical analysis, and create visualizations to provide scalable and iterative capabilities, then this is a fantastic role for you! What You'll Do * Modeling: Apply state of the art machine learning and statistical analysis to develop models related to opportunity sizing, targeting, and optimization. * Deep analysis: Analyze user behavioral data to identify patterns, uncover opportunities, and create common understanding of how people are interacting with the service and content. * Visualization of Insights: Development of prototype solutions, mathematical models, algorithms, and robust analytics leading to impactful insights communicated clearly and visually. * Partnership: Partner closely with business stakeholders to identify and unlock opportunities, and with other data teams to improve platform capabilities around data modeling, data visualization, experimentation and data architecture. What To Bring * Bachelor's degree in advanced Mathematics, Statistics, Data Science or comparable field of study, and/or equivalent work experience * 7+ years related experience with developing machine learning models and conducting statistical analysis * Deep understanding of machine learning concepts and statistical methods * Ability to draw insights and conclusions from data to inform model development and business decisions * Desire to collaborate with other data scientists, data analysts, and key business partners * Proficient in analyzing data and developing ML models using Python (with ML frameworks like tensorflow, scikit-learn, etc.) * Capable of reading and writing Object-Oriented code to review and implement modeling pipelines (Airflow, Luigi, etc.) * Understanding of SQL and distributed data technologies (Hive, Spark) Nice To Haves * MS or PhD in Computer Science, Engineering, Statistics, Economics, Physics or related quantitative field (e.g. Econometrics, Mathematics, Operations Research) * Working knowledge of Bayesian modeling and familiarity with probabilistic programming packages/language such as Stan, PyMC * Experience fully integrating data science solutions into the business and operationalizing ML models Additional Information #DISNEYTECH The hiring range for this position in the Los Angeles, CA area is $149,300-$200,200. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered. About Disney Direct to Consumer: Disney's Direct to Consumer team oversees the Hulu and Disney+ streaming businesses within Disney Entertainment helping to bring The Walt Disney Company's best-in-class storytelling to fans and families everywhere. About The Walt Disney Company: The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise that includes three core business segments: Disney Entertainment, ESPN, and Disney Experiences. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world-class stories and experiences for every member of the family. Disney's stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished. This position is with Disney Streaming Services LLC, which is part of a business we call Disney Direct to Consumer. Disney Streaming Services LLC is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, religion, color, sex, sexual orientation, gender, gender identity, gender expression, national origin, ancestry, age, marital status, military or veteran status, medical condition, genetic information or disability, or any other basis prohibited by federal, state or local law. Disney champions a business environment where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a constantly evolving world. Apply Now Apply Later Current Employees Apply via My Disney Career Explore Location

StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we're here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world. We're on the lookout for an accomplished Data Scientist 2 to join the Data Engineering & Analytics team at StubHub. In this role, you'll play a pivotal part in crafting and deploying cutting-edge machine learning models that drive business and operational choices within StubHub's dynamic ecosystem. Our Data Science team serves as the backbone for enabling data-driven decisions across the organization, harnessing the potential of StubHub's consumer data through statistical and machine learning techniques. This involves creating both business-facing and customer-facing products, along with delivering user-friendly tools and clear explanations for non-technical users to enhance self-service capabilities. As a Data Scientist 2, you'll be the driving force in a business domain, steering the strategy and execution of model development. We're seeking someone uniquely passionate about constructing models that empower data-driven decisions, equipped with robust engineering principles that enable full ownership throughout the model lifecycle. Additionally, effective communication skills to convey complex concepts to both technical and non-technical audiences are essential. This role will be based out of our New York, NY, or Los Angeles, CA office and has a hybrid (3 in-person days per week) work schedule. What You'll Do Build and understand modeling related to one of four possible areas at StubHub: Experimentation, Forecasting, Pricing or Customer Acquisition Build state-of-the-art machine learning models for which you own from design all the way through to production, and communicate your results to broad technical and non-technical audiences Serve as a subject matter expert to the broader organization around on how to best build predictive modeling in the context of forecasting and pricing Find and develop your own roadmaps with business partners and carry out project management and execution of your own work Foster a culture of inclusion, results-oriented execution, open innovation, and limitless creativity across your team What You've Done 3-5 years of relevant data science or machine learning experience; an M.S. or Ph.D. degree in math, statistics, computer science, or other quantitative fields is preferred Proficiency with transforming and analyzing large scale data with modern cloud computing platforms (e.g.,SparkSQL, BigQuery, Snowflake, Databricks), with high proficiency with query languages like SQL Proficiency in Python or R and numerical and scientific libraries used for statistics and machine learning (e.g., Pandas, NumPy, SciPy, scikit-learn) Experience in building production level models in cloud environments (e.g., AWS, Azure) Demonstrated proficiency in time series modeling (GAMs, GLMs, ARs) and real-time forecasting are a nice-to-have Passionate about working with non-technical stakeholders to understand, anticipate, and deliver on their data needs What We Offer Accelerated Growth Environment: Immerse yourself in an environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale. Top Tier Compensation Package: Enjoy a rewarding compensation package that includes enticing stock incentives, aligning with our commitment to recognizing and valuing your contributions. Flexible Time Off: Embrace a healthy work-life balance with unlimited Flex Time Off, providing you the flexibility to manage your schedule and recharge as needed. Comprehensive Benefits Package: Prioritize your well-being with a comprehensive benefits package, featuring 401k, and premium Health, Vision, and Dental Insurance options. Team-Building Events: Engage in vibrant team events that foster camaraderie and collaboration, creating an atmosphere where your professional and personal growth are celebrated. The anticipated gross base pay range is below for this role. Actual compensation will vary depending on factors such as a candidate's qualifications, skills, experience, and competencies. Base annual salary is one component of StubHub's total compensation and competitive benefits package, which includes equity, 401(k), paid time off, paid parental leave, and comprehensive health benefits. Salary Range$175,000—$230,000 USDAbout Us StubHub is the world's leading marketplace to buy and sell tickets to any live event, anywhere. Through StubHub in North America and viagogo, our international platform, we service customers in 195 countries in 33 languages and 49 available currencies. With more than 300 million tickets available annually on our platform to events around the world -- from sports to music, comedy to dance, festivals to theater -- StubHub offers the safest, most convenient way to buy or sell tickets to the most memorable live experiences. Come join our team for a front-row seat to the action. For California Residents: California Job Applicant Privacy Notice found here We are an equal opportunity employer and value diversity on our team. We do not discriminate on the basis of race, color, religion, sex, national origin, gender, sexual orientation, age, disability, veteran status, or any other legally protected status.

Locations: Boston | Chicago | Pittsburgh | Washington | New York | Brooklyn | Miami | Dallas | San Francisco | Seattle | Los Angeles | Manhattan Beach Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. We Are BCG X We're a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world's most complex problems. Leveraging BCG's global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions. What You'll Do Our BCG X teams own the full analytics value-chain end to end: framing new business challenges, designing innovative algorithms, implementing, and deploying scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-builds to industry specific leading edge AI software solutions. Our Data Scientists and Senior Data Scientist are part of our rapidly growing team to apply data science methods and analytics to real-world business situations across industries to drive significant business impact. You'll have the chance to partner with clients in a variety of BCG regions and industries, and on key topics like climate change, enabling them to design, build, and deploy new and innovative solutions. Additional responsibilities will include developing and delivering thought leadership in scientific communities and papers as well as leading conferences on behalf of BCG X. Successful candidates are intellectually curious builders who are biased toward action, creative, and communicative. What You'll Bring We are looking for dedicated individuals with a passion for data science, statistics, operations research and redefining organizations into AI led innovative companies. Successful candidates possess the following: * Comfortable in a client-facing role with the ambition to lead teams * Likes to distill complex results or processes into simple, clear visualizations * Explain sophisticated data science concepts in an understandable manner * Love building things and are comfortable working with modern development tools and writing code collaboratively (bonus points if you have a software development or DevOps experience) * Significant experience applying advanced analytics to a variety of business situations and a proven ability to synthesize complex data * Deep understanding of modern machine learning techniques and their mathematical underpinnings, and can translate this into business implications for our clients * Have strong project management skills TECHNOLOGIES: Programming Languages: Python #LI-DNI #BCGXjob Additional info FOR U.S. APPLICANTS: BCG is an Equal Employment Opportunity employer and is committed to a policy of administering all employment decisions and actions without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. The first-year base compensation for this role is: Data Scientist I: $110,000 USD Data Scientist II: $145,000 USD Data Scientist III: $160,000 USD Senior Data Scientist: $190,000 USD At BCG, we are committed to offering a comprehensive benefit program that includes everything our employees and their families need to be well and live life to the fullest. We pay the full cost of medical, dental, and vision coverage for employees - and their eligible family members. * That's zero dollars in premiums taken from employee paychecks. All our plans provide best in class coverage: * Zero-dollar ($0) health insurance premiums for BCG employees, spouses, and children * Low $10 (USD) copays for trips to the doctor, urgent care visits and prescriptions for generic drugs * Dental coverage, including up to $5,000 in orthodontia benefits * Vision insurance with coverage for both glasses and contact lenses annually * Reimbursement for gym memberships and other fitness activities * Fully vested Profit-Sharing Retirement Fund contributions made annually, whether you contribute or not, plus the option for employees to make personal contributions to a 401(k) plan * Paid Parental Leave and other family benefits such as elective egg freezing, surrogacy, and adoption reimbursement * Generous paid time off including 12 holidays per year, an annual office closure between Christmas and New Years, and 15 vacation days per year (earned at 1.25 days per month) * Paid sick time on an as needed basis * Employees, spouses, and children are covered at no cost. Employees share in the cost of domestic partner coverage. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.

Information DATA SCIENTIST II DEADLINE TO APPLY The deadline to apply for this recruitment is Thursday, March 27, 2025, at 11:59 PM PST This recruitment is open to external candidates, internal OCSC employees, internal OCSC promotions, and internal OCSC lateral transfers. The eligible list established from this recruitment will be used to fill current and future positions. ANNUAL SALARY $117,000.00 - $137,550.40 BENEFIT HIGHLIGHTS Choice of five medical plans Vacation and sick leave packages $3,500 Optional Benefit Plan (OBP) Defined Benefit Retirement Plan (2.50% at 67 formula) Health Reimbursement Arrangement (HRA) 14 paid holidays per year Tuition reimbursement Dental and vision plans Optional deferred compensation program (457 plan) TELEWORK/ON-SITE OPPORTUNITY This position is eligible for a combination of telework and on-site work assignments. Telework must be completed from a pre-designated home-based location within the State of California and employees may be required to report on-site to address business needs. Telework is at the sole discretion of the Court and may be rescinded with 48 hours' notice, based on needs of the Orange County Superior Court. Opportunity Details ABOUT ORANGE COUNTY SUPERIOR COURT The Orange County Superior Court is the third largest court of general jurisdiction in California. We have courthouses throughout the county, including locations in Orange, Westminster, Fullerton, Newport Beach, and Santa Ana. We have a staff of about 1,500 and an operating budget of nearly $250 million. The Court's Judges, Commissioners and employees are recognized for their high standards of achievement, integrity, and diversity. The Court is committed to ensuring equal access to court services and enhancing public confidence in the court system. To learn more about the Superior Court of California, County of Orange, visit our homepage at ***************** THE UNIT AND POSITION This Data Scientist position is within the Superior Court's Strategic Innovations Group (SIG), which has been created to help the court develop innovative solutions that will enhance how business is conducted internally, as well as how service to the community is provided. SIG will be responsible for helping to identify sustainable new business solutions for our future by collaborating with Court business units in creating new ideas, evaluating technologies, implementing new systems and optimizing business processes to help our court achieve its long-term goals and objectives. These solutions have the potential to have major transformational effects on the way the court conducts business and meets or exceeds the expectations of internal and external customers and justice partners. Under general direction, the Data Scientist will use statistical, algorithmic, mining and visualization techniques to design experiments, test hypotheses, and build models for the development of business intelligence solutions; and conducts data analysis and designs algorithm. To view the full job description, click on the following link: DATA SCIENTIST II Minimum Qualifications Experience: Bachelor's degree in statistics, mathematics, computer science, data science, business/public administration, social sciences, economics, or a closely related field. Experience: One (1) year of progressively responsible full-time equivalent experience as a data scientist, applying machine learning, predictive analytics, data management and hypothesis-driven data analysis to management. Substitution options: * Four (4) years of full-time equivalent data scientist experience may substitute for the education requirement. * A Master's degree or higher in one of the areas stated above may substitute for a total of one (1) year of experience. Desirable Skills, Abilities and Experience: * Proficiency in Python and/or R * Ability to leverage AI packages and services to build comprehensive integrated systems/solutions * Experience with modern machine learning methods, fundamental algorithms, predictive analytics, and AI/ML models * Experience in building API layers, including using common design patterns to make solutions easily accessible * Proficiency in data modeling, database design, writing complex SQL queries, and performing data analysis * Understanding of the end-to-end data life cycle including identifying, gathering, cleansing/preparation, analyzing, presenting, archiving, and purging data * Experience with modern cloud environment including Microsoft stack, Azure AI/ML services or an equivalent cloud alternative (GCP, AWS…etc.) * Proficient in creating, managing, and deploying Docker images, as well as utilizing container registries for efficient storage and distribution of solutions * Ability to work with Business Systems Analysts and other stakeholders to gather requirements, define project scopes, and develop solutions * Strong ability to present and share ideas and work products with peers and other court staff * Knowledge of project management principles and techniques, including Agile methodology for iterative development and deployment * Experience with git or other source control, and managing deployment pipelines for continuous integration and deployment via Azure DevOps, GitHub Additional Information Application Process All applicants are required to submit a completed online application and supplemental questionnaire. To learn more about how to create an account/application, click HERE. Résumés will not be accepted in lieu of the required application and supplemental questionnaire. Human Resources will review applications to identify candidates who meet the minimum qualifications; therefore, it is to your benefit to include all current and previousrelated work experience. Selection Process * Step 1:Applications will be reviewed to identify candidates who meet the minimum qualifications and/or desirables; those candidates will be referred to step 2 in the selection process. * Step 2:Candidates' supplemental question responses may be evaluated and ranked. Depending on the number of applications, assessments and/or screening interviews may be conducted. If any part of the assessment process consists of proctored, in-person tests, candidates will be required to appear in person regardless of where they reside. Note: Though candidates may live outside of the State of California while participating in a recruitment process, individuals must reside within the State to be eligible for Court employment. * Step 3:Those candidates who are successful in the review/assessment may be placed on the eligible list. Placement on the eligible listis not aguarantee ofinterview or employment. All candidates will be notified via email of their status at each step of the process. Additional steps for the selection process will include a local background and reference check. Background Check A thorough background check will be conducted, including but not limited to work experience, education, certifications, driving record, criminal record, litigation judgment or verdict, and financial/credit information. Fingerprints of candidates are also taken as part of our background check process. Reasonable Accommodations Orange County Superior Court provides reasonable accommodations for applicants with disabilities, upon request. Please contact the Human Resources Department at HRStaffing@occourts.orgif you feel that you will need a reasonable accommodation for any aspect of the selection process. Eligible List This recruitment will be used to establish an eligible list for current and future vacancies. The eligible list will remain active until the list is exhausted or a new recruitment opens. Status Notifications You will be notified by email during the process of this recruitment through governmentjobs.com. Please check your email spam/junk folders and accept emails ending with governmentjobs.com and occourts.org. If your information changes, please update your profile at *********************** eVerify Superior Court of California, County of Orange participates in the eVerify program. Questions? For questions on this recruitment, please contact Monica Budd at ******************. For general employment information, please click HERE. Orange County Superior Court is an Equal Opportunity Employer Follow us on social media! LinkedIn|Facebook|X

Employer: Consumerinfo.com, Inc. Job Title: Data Scientist Develop machine learning algorithms with huge data sets to solve challenging business questions; Improve performances of existing algorithms; Discover new data sources and create new input features for ML models; Build end to end data pipeline for ML models; Communicate key analytical results to stakeholders. Qualifications Employer will accept a Master's degree in Machine Learning, Data Science, Computer Science, Statistics or related field. Position requires experience in the following: * Experience with statistical modeling techniques such as regression, support vector machines, and neural nets * Experience with natural language processing * Experience with deep learning algorithms such as convolutional neural networks and recurrent neural networks. * Experience with API development and comfortable working in a Linux environment. * Experience with building end to end scalable ML solutions from data aggregation to model deployment. * Experience in Python, R, SQL and SparkSQL. Additional Information Pay range for this role is $96,678.00 - $151,230.00, with actual pay based on work location, job-related skills, experience and education. Role incl. variable pay and comprehensive benefits. To apply please go to ********************************* and search requisition number 744000048621367.

Who we are Geotab is a global leader in IoT and connected transportation and certified “Great Place to Work™.” We are a company of diverse and talented individuals who work together to help businesses grow and succeed, and increase the safety and sustainability of our communities. Geotab is advancing security, connecting commercial vehicles to the internet and providing web-based analytics to help customers better manage their fleets. Geotab's open platform and Geotab Marketplace , offering hundreds of third-party solution options, allows both small and large businesses to automate operations by integrating vehicle data with their other data assets. Processing billions of data points a day, Geotab leverages data analytics and machine learning to improve productivity, optimize fleets through the reduction of fuel consumption, enhance driver safety and achieve strong compliance to regulatory changes. Our team is growing and we're looking for people who follow their passion, think differently and want to make an impact. Ours is a fast paced, ever changing environment. Geotabbers accept that challenge and are willing to take on new tasks and activities - ones that may not always be described in the initial job description. Join us for a fulfilling career with opportunities to innovate, great benefits, and our fun and inclusive work culture. Reach your full potential with Geotab. To see what it's like to be a Geotabber, check out our blog and follow us @InsideGeotab on Instagram. Join our talent network to learn more about job opportunities and company news. Who you are: We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Lead Data Scientist who will utilize strong problem-solving skills with statistical analysis in order to align data products with Geotab's organizational goals What you'll do: The Lead Data Scientist leads and contributes to medium to large projects; generally these are multi-person projects spanning cross-functional areas both within the data department and across other technical boundaries. You will work to research, experiment, develop, and bring to production data science solutions involving machine learning models, data processing pipelines, novel algorithms, and related topics in the context of fleet management and aggregated telematics solutions. You have the ability to problem solve and create technical solutions for novel business problems, working with non-technical stakeholders as needed to evaluate technical tradeoffs. This role also includes technical mentorship to other Data Scientists. How you'll make an impact: Develop and refine inference and predictive models for the Fleet Safety data product umbrella. Collaborate with cross-functional teams including product managers, data analysts, data scientists, developers, user experience analysts and external stakeholders to gather requirements, build technical consensus and drive data products to production. Support the definition and shaping of research and development initiatives in areas of subject matter expertise. Create algorithms and models required to solve complex business problems. Own the design, development, monitoring, and maintenance of scalable models. Test the performance of models/data products and make recommendations for improving Geotab's product suite. Take responsibility for the technical output of a project. Conduct experiments to identify causality for data anomalies. Stay up to date on the latest research in data science, and propose innovative ideas and techniques to advance the field in our business domain. Cross team and service boundaries to solve problems. Build relationships with stakeholders including customers, product managers, cross-functional teams, and external partners. Contribute to defining strategic direction, planning the roadmap, and synthesizing feedback to ensure team success. Ensure that knowledge is shared amongst the team and does not position themselves or others as a single point of failure; is skilled at influence without authority, to unblock technical impediments and achieve necessary technical alignments across individuals and teams with minimal escalations. Mentor multiple Data Scientists; work through others; lift the skills and expertise of those around. Advise managers with insights and recommendations to improve the technical team; participate in recruiting processes for technical team members. Own responsibility for the design, development, and maintenance of ongoing metrics, reports, analyses, and dashboards to drive key business decisions. Collaborate with business stakeholders to understand their requirements and develop analytical solutions. Drive innovation and continuous improvement in data science methodologies and practices within the organization. What you'll bring to the role: Diploma/Degree in Computer Science, Computer Engineering, Electrical Engineering, Data Science or a related field. 10-12 years of Data Science or related experience. Thorough knowledge of relevant programming languages (primarily Python, SQL), object-oriented programming principles, Big Data tools and Data Mining/Warehousing Programs (preferably Google Cloud BigQuery). Experience with model experimentation, deployment, and monitoring in large-scale cloud-based production systems. Experience in working with large amounts of data in SQL. Proficient in building models using common Python libraries and frameworks such as TensorFlow, PyTorch, and scikit-learn. Experience with building, training, and deploying predictive models. Experience with AirFlow, Beam, Spark, BigQuery and other cloud based and distributed technologies to scale machine learning models and workflows will be an asset. Experience with various supervised and unsupervised machine learning methodologies in areas common to the business such as anomaly detection, time series forecasting, clustering, event prediction, and other areas. Relevant industry experience in order to reach the competencies outlined and to demonstrate varied experience in a wide range of problems, pressures, and scenarios on a consistent basis. Experience working within a technical or engineering organization; knowledge of the high-technology industry is an asset. If you got this far, we hope you're feeling excited about this role! Even if you don't feel you meet every single requirement, we still encourage you to apply. Please note: Geotab does not accept agency resumes and is not responsible for any fees related to unsolicited resumes. Please do not forward resumes to Geotab employees. Why job seekers choose Geotab Flex working arrangements Home office reimbursement program Baby bonus & parental leave top up program Online learning and networking opportunities Electric vehicle purchase incentive program Competitive medical and dental benefits Retirement savings program *The above are offered to full-time permanent employees only How we work At Geotab, we have adopted a flexible hybrid working model in that we have systems, functions, programs and policies in place to support both in-person and virtual work. However, you are welcomed and encouraged to come into our beautiful, safe, clean offices as often as you like. When working from home, you are required to have a reliable internet connection with at least 50mb DL/10mb UL. Virtual work is supported with cloud-based applications, collaboration tools and asynchronous working. The health and safety of employees are a top priority. We encourage work-life balance and keep the Geotab culture going strong with online social events, chat rooms and gatherings. Join us and help reshape the future of technology! We believe that ensuring diversity is fundamental to our future growth and progress and is an integral part of our business. We believe that success happens where new ideas can flourish - in an environment that is rich in diversity and a place where people from various backgrounds can work together. Geotab encourages applications from all qualified individuals. We are committed to accommodating people with disabilities during the recruitment and assessment processes and when people are hired. We will ensure the accessibility needs of employees with disabilities are taken into account as part of performance management, career development, training and redeployment processes. If you require accommodation at any stage of the application process or want more information about our diversity and inclusion as well as accommodation policies and practices, please contact us at ******************. By submitting a job application to Geotab Inc. or its affiliates and subsidiaries (collectively, “Geotab”), you acknowledge Geotab's collection, use and disclosure of your personal data in accordance with our Privacy Policy. Click here to read our Privacy Notice. Click here to learn more about what happens with your personal data.

FASHIONPHILE is more than just fashion - we're revolutionizing the ultra-luxury fashion experience in order to create a sustainable alternative that extends the life cycle of products and makes them more accessible to a diverse customer base. As we strive to become the world's most sought-after brand in luxury re-commerce, we know it's our team members who make it all happen! We value diversity in our people, perspectives, and products. For us, it's the only way to cultivate the creativity and innovation essential to achieving our mission and supporting our customers. We do this both in-person and through our digital omni-channel experiences. If you're someone who embraces change, is authentic, and wants to make an impact this is the place for you. About the Opportunity: FASHIONPHILE is seeking an exceptional Data Scientist to leverage both structured and unstructured data to address key business challenges. In this strategic role, you will partner with Merchandising Planning and Sales teams to resolve issues related to omni-channel inventory planning and demand forecasting for retail commerce. You'll employ advanced statistical and advanced forecasting techniques to support short- and long-term inventory planning, optimize forecast accuracy, and provide strategic recommendations to senior management. Additionally, you will investigate sales trends, develop processes to understand customer journeys, and build models to enhance customer engagement, retention, and growth. Responsibilities include: * Build and maintain advanced statistical, predictive and machine learning models to forecast luxury product demand at the SKU level across various channels and enhance business performance. * Analyze forecast accuracy metrics, refine models through feature engineering and selection, and adjust based on feedback from sales, marketing, and management. * Develop and implement a comprehensive demand forecast process integrated into the Sales and Operations Planning (S&OP) cycle. * Investigate worldwide sales trends and opportunities to offer strategic recommendations on current and future demand. * Develop data-driven inventory planning strategies that balance meeting customer demand with minimizing carrying costs. * Analyze current inventory levels against predicted demand to ensure optimal product availability across channels. * Implement algorithms to determine optimal buying/selling points, safety stock levels, and mitigate stockout risks using historical sales, customer journeys, lead times, and demand variability. * Extract, clean, and transform large datasets from sources such as sales, customer behavior, marketing campaigns, and external market trends to solve complex business problems. * Automate dashboards and reports to visualize key performance indicators (KPIs) and trends related to demand forecasting and inventory management, and other topics. * Communicate complex findings using effective data visualization techniques to support strategic decision-making by senior management. * Own transformation initiatives that focus on growth and influence teams and stakeholders to arrive at the right solutions for the business. What We're Looking For: * Bachelor's Degree in Math, Data Science, Statistics, or another analytical discipline (or equivalent experience) * 6+ years' in-depth experience in predictive analytics, building ML models and solving business problems using data insights; a focus on omnichannel forecasting models and inventory planning is a plus. * Working knowledge of forecasting models and inventory optimization * Proficiency in Python or R, SQL, and VBA, with strong data manipulation and analysis skills (e.g., using Pandas, NumPy, Scikit-learn). * Familiarity with forecasting/modeling techniques (Bayesian statistics, regression, customer lifecycle value, A/B testing). * Experience with time series forecasting methods (e.g., ARIMA, Exponential Smoothing, Prophet) and machine learning algorithms (e.g., Regression, Random Forest, Neural Networks) is a plus. * Knowledge of cloud-based data platforms (AWS, Azure, GCP), data warehousing tools, and visualization/BI tools (e.g., Qlik Sense, Tableau). * A good understanding of retail e-commerce & omni- channel operations, inventory management and demand forecasting. What We Offer: * Medical, Dental and Vision Coverage * FSA options for Medical, Dependent Care & Commuter Benefits * Paid Time off, Paid Sick Time, and Paid Holidays * 401(k) with generous match program * Free Life Insurance and AD&D * Long Term Disability Insurance * Employee Discount Work Location: This role offers a hybrid work schedule, with a requirement to be onsite 2 days per week in either Carlsbad, CA or our Downtown Los Angeles location. Compensation: * FASHIONPHILE reasonably expects the range to be $135,000.00 - $155,00.00 for this position and offers an Annual Bonus Opportunity. Offered compensation will vary based on (a) location; (b) individual candidate qualifications; and (c) individual candidate experience. This post may be updated as new market data becomes available and is accurate as of the date of this posting. FASHIONPHILE reserves the right to modify this information at any time, subject to applicable law.

The Disney Music Group (DMG) is the music hub for TWDC, encompassing all aspects of music commercialization and marketing: recorded music (Walt Disney Records and Hollywood Records), Disney Music Publishing, and Disney Concerts. DMG distributes music both physically and digitally, and also licenses music throughout the world in various forms of media including television, print, gaming, and consumer product. Job Summary As a member of DMG's Data & Analytics team, the Data Scientist will develop advanced capabilities and tools that enable a deeper understanding of how content, marketing, and distribution strategies impact product performance. In this role, you will innovate solutions through research, experimentation, model development, and algorithm design. The ideal candidate for this role possesses exceptional quantitative skills, a passion for tackling complex challenges in media and entertainment, and the ability to transform data into strategic opportunities. Responsibilities Develop mathematical models, measurement frameworks, and algorithms to address business problems across recorded music, publishing, and concerts. Prototype solutions for implementation in analytic pipelines, tools, and operational workflows Design and execute experiments to assess the impact of content, product, and marketing strategies, delivering actionable and scalable insights Generate simulations and forecasts to quantify business opportunities, assess risks, and evaluate tradeoffs among potential strategies or tactics Employ machine learning, statistical analysis, and data mining methodologies on large-scale datasets to uncover patterns, trends, and drivers of audience behavior Closely collaborate with DMG Data & Analytics team members and cross-functional stakeholders Partner with Technology teams on various projects, contributing to solution discovery, design, build and QA Basic Qualifications: Minimum 3+ years of relevant data science experience Experience applying supervised and unsupervised learning techniques, including clustering, regression, and classification Knowledge of causal inference methods Ability to draw insights and conclusions from data to inform model development and business decisions Experience manipulating large-scale datasets and interpreting data trends from multiple disparate sources Hands on experience with SQL and numerical computing languages such as PySpark/Python, R Experience data mining within distributed systems such as Databricks, Snowflake, Google BigQuery Proficient with data exploration and visualization tools such as Tableau, Looker, DOMO Strong time management with ability to work in a fast-paced environment across multiple priorities Preferred Qualifications: Familiarity with music streaming services (Spotify, Apple, Amazon Music, YouTube), social media platforms (TikTok, FB/Instagram, X) and emerging technologies (digital assistants/voice) A passion for music and entertainment industry data Required Education Bachelor's degree in an analytical field including Statistics, Mathematics, Physics, Computer Science, Engineering, or other related quantitative field. Master's degree preferred. The hiring range for this position in Burbank, CA is $114,900.00 to $154,100.00 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered. Job Posting Segment: Disney Music Group Job Posting Primary Business: DMG Primary Job Posting Category: Data Science Employment Type: Full time Primary City, State, Region, Postal Code: Burbank, CA, USA Alternate City, State, Region, Postal Code: Date Posted: 2025-02-19

Salary Range: $9,852.82 - $13,278.10 monthly The Data & Analytics Unit is responsible for collecting, analyzing, and interpreting healthcare data to support decision-making across the Los Angeles County Department of Health Services (DHS). The unit manages patient care and operational data, using analytics to identify patterns, predict outcomes, and improve service delivery. The unit also ensures data integrity, security, and regulatory compliance. The Data Scientist Supervisor leads a team of data scientists within the DHS Data & Analytics Unit, overseeing the execution of advanced analytical projects, machine learning initiatives, and data-driven strategies. This role is responsible for managing the development and implementation of predictive models, optimizing data workflows, and ensuring that analytical solutions align with organizational objectives. The Data Scientist Supervisor provides technical leadership, mentors team members, and fosters a collaborative environment to drive innovation and efficiency in data science operations. ESSENTIAL FUNCTIONS Team Leadership & Mentorship - Lead, coach, and mentor data scientists, fostering a culture of continuous learning and professional growth. Project Oversight & Execution - Manage and oversee the development of machine learning models and analytical solutions to meet business needs. Apply advanced statistical methods, machine learning algorithms, and data mining techniques to analyze large and varied datasets, uncovering trends and patterns that provide actionable insights. Fine-tune and optimize models, ensuring they are scalable, efficient, and aligned with business requirements. Mentor junior data scientists and guide their model development, statistical analysis, and data science practices. Data Engineering & Workflow Optimization - Collaborate with engineering teams to ensure the scalability, efficiency, and accuracy of data pipelines. Quality Assurance & Best Practices - Establish and enforce best practices in data science methodologies, model validation, and documentation. Advanced Data Analysis & Modeling Lead the development of predictive, prescriptive, and diagnostic models to address complex business problems and optimize decision-making processes. Machine Learning & AI Implementation - Design, train, and optimize machine learning models for forecasting, anomaly detection, and automation. Insightful Reporting & Visualization Create and deliver high-quality, clear, and actionable reports and dashboards, translating complex data findings into easily understandable insights for both technical and non-technical stakeholders. Use advanced visualization tools and techniques to convey analytical results effectively to leadership and business teams. Develop and implement metrics and KPIs that measure the effectiveness of data science initiatives and model performance. Strategic Collaboration & Stakeholder Engagement Work closely with business leaders and stakeholders to define data-driven strategies and deliver actionable insights. Translate complex technical concepts into actionable business insights and recommendations for non-technical audiences. Partner with IT, engineering, and business teams to integrate data science solutions into operational processes. Continuous Improvement & Research Stay abreast of emerging data science techniques, industry trends, and technologies to drive innovation within the team and ensure best-in-class data science practices. Lead research initiatives that explore new methods for data analysis, modeling, and automation. Continuous improvement of data science workflows, techniques, methodologies, new tools, and technologies within the organization. JOB QUALIFICATIONS The ideal candidate is a seasoned data science professional with strong leadership skills, a track record of managing data science projects, and the ability to translate complex analytics into strategic business recommendations. They should possess a combination of technical expertise, team management experience, and a deep understanding of machine learning and data-driven decision-making. Education/Experience Master's degree from an accredited institution in Data Science, Computer Science, Statistics, Mathematics, or a related field. 6+ years of experience in data science, with at least 2 years in a leadership role. Extensive hands-on experience in machine learning, AI, and predictive modeling. Proven experience leading and mentoring data science teams. Certificates/Licenses/Clearances Successful clearing through the Live Scan and health clearance processes with the County of Los Angeles. Other Skills, Knowledge, and Abilities Advanced programming skills in Python, R, or SQL for model development and data processing. Expertise in cloud computing (AWS, Azure, GCP) and big data technologies. Strong experience with data visualization tools (Tableau, Power BI) for storytelling and reporting. Deep knowledge of data engineering concepts, ETL processes, and model deployment. Proven ability to lead data science projects from ideation to implementation. Excellent communication skills to present complex insights to both technical and non-technical audiences. Experience mentoring junior data scientists and fostering a data-driven culture. Strong understanding of agile methodologies and project management principles. Commitment to innovation and staying at the forefront of industry trends. PHYSICAL DEMANDS Stand: Not applicable Walk: Not applicable Sit: Frequently Handling / Fingering: Constantly Reach Outward: Constantly Reach Above Shoulder: Not applicable Climb, Crawl, Kneel, Bend: Not applicable Lift / Carry: Occasionally - Not applicable Push/Pull: Occasionally - Not applicable See: Constantly Taste/ Smell: Not Applicable Not Applicable = Not required for essential functions Occasionally = (0 - 2 hrs/day) Frequently = (2 - 5 hrs/day) Constantly = (5+ hrs/day) WORK ENVIRONMENT Hybrid EEOC STATEMENT It is the policy of Heluna Health to provide equal employment opportunities to all employees and applicants, without regard to age (40 and over), national origin or ancestry, race, color, religion, sex, gender, sexual orientation, pregnancy or perceived pregnancy, reproductive health decision making, physical or mental disability, medical condition (including cancer or a record or history of cancer), AIDS or HIV, genetic information or characteristics, veteran status or military service.

Hang is building the future of loyalty for brands. Hang is the next generation brand loyalty & membership platform. By harnessing the power of personalization, gamification, and its integrations ecosystem, Hang provides brands with a radically new type of loyalty experience for their customers. Today, they work with a variety of major brands (such as Ulta Beauty, Budweiser, Flipkart, and more), as well as multiple well-known, up-and-coming restaurant chains (Boba Guys, Roam Artisan Burger, and Williamsburg Pizza, among several others). Hang draws from years of deep expertise in loyalty, game design, and finance with employees from leading companies like Google, Amazon, Apple, Meta, LinkedIn, Coinbase, Square, and Goldman Sachs. Hang raised a $16 million Series A led by Paradigm last summer, with participation from Tiger Global, Howard Schultz, Kevin Durant, Mr. Beast, and the founders of Warby Parker, Allbirds, and Bombas, among others. About the Role As our first Data Scientist, you will leverage data to drive insights and strategies that will propel Hang's platform to new heights. We're looking for someone who is deeply passionate about data, analytics, and the power of information to transform brand loyalty programs. What You'll Do Data Analysis & Insights: Analyze complex data sets to uncover trends, patterns, and insights that inform business decisions. Model Development: Develop and implement statistical models and machine learning algorithms to predict customer behaviors and enhance platform capabilities. Data-Driven Decision Making: Collaborate with cross-functional teams to support data-driven decisions and strategy development. Data Visualization: Create clear and compelling visualizations to communicate findings to stakeholders. Data Strategy: Contribute to the development of data collection strategies to optimize statistical efficiency and data quality. Who You Are Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field. 5-10+ years of proven experience as a Data Scientist or in a similar role. Strong knowledge of statistical techniques and machine learning algorithms. Proficiency in programming languages such as Python or R. Experience with data visualization tools and databases. Excellent analytical and problem-solving abilities. Strong communication skills, with the ability to translate complex data into actionable insights. What Would Set You Apart You have a passion for consumer brands. You have a strong interest in loyalty programs. Benefits Top-tier health, vision, and dental insurance, including plans with $0 employee cost. Unlimited PTO / sick leave Competitive salary & equity compensation. Quarterly company offsites