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    Venture Global LNG (“Venture Global”) is a long-term, low-cost provider of American-produced liquefied natural gas. The company’s Louisiana-based export projects service the global demand for North American natural gas and support the long-term development of clean and reliable North American energy supplies. Using reliable, proven technology in an innovative plant design configuration, Venture Global’s modular, mid-scale plant design will replace traditional designs as it allows for the same efficiency and operational reliability at significantly lower capital cost. The Senior Data Scientist is responsible for developing and maintaining data analytics solutions and machine learning algorithms. As a senior role, the expectations are to mentor junior data scientists, further develop the data science lifecycle and best practices, and contribute to strategic discussions.  The measures of an ideal candidate include communication skills, technical proficiency, collaboration, mentorship, strategic-thinking, and willingness to learn new things. This new position will be based in our Arlington, VA headquarters and report to the Director of Business Intelligence. This position is structured within IT under the Vice President of Applications. The position will be located in Arlington, VA.   Position Responsibilities: Key Responsibilities and Essential Duties: Develop solutions to business problems using the data science life cycle. Develop and maintain data analytics solutions and machine learning algorithms Develop comprehensive project plans for implementing data science projects including solution architectures, resourcing, and dependencies. Use predictive modeling and classification techniques to improve LNG production efficiency and mitigate safety or downtime risks. Mine and analyze data from a data lake or data warehouse to drive optimization. Work with stakeholders to identify opportunities to leverage data science to drive business solutions. Understand where key decisions are needed and communicate options for solving business problems with stakeholders. Provide ETL requirements to data engineers to effectively curate files for data analytics. Document data science algorithms for maintainability. Work with IT leadership to further define the data science life cycle and enhance the data science technology stack and architecture. Design data architecture for future platform growth including data warehousing, machine learning, streaming analytics, and data visualization. Assist in testing, governance, data quality, training, and documentation efforts. Mentor junior data scientists and data analysts. Actively engage in business stakeholder requirement workshops to understand, interpret, and translate requirements into effective technical solutions. Job Qualifications 5+ Years of practical data science/data analytics experience. Bachelor’s degree in Computer Science, Data Analytics, Engineering, Mathematics, Business, or related field of study. Knowledge in cloud data analytics solutions, managing, developing, and maintaining machine learning solutions. Fundamental skills in data processing languages such as SQL, Python, or Scala. Knowledge in building data science solutions using cloud data services. Ability to self-manage and make your own decisions. Strong presentation skills to effectively communicate results of analytics to stakeholders. Strong documentations skills. Excellent interpersonal and communications skills, with strong critical thinking and attention to detail. Strong work ethic with ability to effectively prioritize, meet deadlines, adapt to changing priorities and business needs, and succeed in a fast-paced environment. Excellent attention to detail and the ability to efficiently summarize and prioritize information. Preferred Qualifications Experience with Azure infrastructure especially Azure Data Lake and Azure Data Factory. Experience using Databricks for machine learning algorithm development Experience in coding languages primarily PySpark, Python, and SQL. Experience in agile development and sprint planning. Experience utilizing DevOps Experience working with streaming datasets/IoT. Strong technical writing skills. Venture Global LNG is an Equal Opportunity Employer. We do not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law.   #LI-Onsite         #LI-Onsite  

At Summit, we're on the lookout for talent that doesn't just think "outside the box," but brings their own unique perspective to the table. With our relentless pursuit of excellence and curiosity, we lead innovation in our industry. We humanize technology by actively listening to our clients, crafting tailored proposals, and delivering on the promise of technology with precision and purpose. Our ideal candidate is passionate and knowledgeable about hardware, software, and computers, but is always willing and excited to learn more. They have several years of computer experience whether it's taking them apart, putting them back together, or building in-home networks. They love gaming in their spare time, keep up with the latest tech blogs, and always have an eye out for the best distribution of Linux. Learn how to work in a data center environment. Do: Process inbound and outbound domestic and international shipments. Add equipment received into inventory. Audit inventory items to ensure stock levels are accurate in the systems. Escort customers and vendors and provide them assistance when on-site. Assist with data center infrastructure build outs. Install and troubleshoot structured data cabling. Occasionally transport equipment to and from our Chicago facilities. Configure and install equipment for service orders. Keep data center space clean and organized. Other data center and warehouse related duties as assigned. Deliver: Interface with both local and remote customers or facility vendors. Lead support efforts for remote Deft facilities via tickets, Slack, and other means, as necessary. Perform server and network troubleshooting. Answer phones and maintain Summit’s high-quality standards for remote hands support. Keep colocation space clean and organized. I'm interested...is this the job for me? We are looking for: Experience working in a data center or tech support environment. Excellent written and verbal interpersonal communication skills. Demonstrated willingness to learn, teach, and share knowledge. Excellent written and verbal interpersonal communication skills. Passion for learning, teaching, and collaborating knowledge. Ability to lift 75 lbs. to shoulder height. Sit, stand, and walk for extended periods of time including the regular use of ladders. Ability to see and read details on equipment both near and far. Ability to use company-provided hand and power tools. Knowledge and Skills: Basic understanding of Linux-based operating systems. Experience with Microsoft Windows Server operating systems. Ability to perform troubleshooting/fault isolation, multitask, and work as part of a team. Familiar with Ethernet network cabling standards. Physical configuration and maintenance/troubleshooting of x86 hardware. Structured cabling, termination, and testing following BICSI standards. Basic understanding of networking and internet protocols (OSI model, TCP/IP, CIDR, SNMP). At Summit, our culture and core values are important to us. As a diverse team of passionate pathfinders, we deliver on the promise of technology. If this sparks your interest, we'd love to chat with you! Empower our people Constant elevation Customer first Focus on outcomes Embrace curiosity Salary: $19 - $ 24.50 / per hour Summit is committed to a diverse and inclusive workplace. Summit is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. As part of this commitment, Summit will ensure that persons with disabilities are provided with reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please let us know.

We're looking for a passionate Product Data Integration Specialist to join our growing team! You'll be a key player in optimizing our product data management, ensuring seamless and accurate information flow across our e-commerce platforms, primarily Shopify and Adobe Commerce. If you thrive in a fast-paced environment, love solving complex data challenges, and have a knack for automation, this role is for you! In this role, you will: Architect efficient data integrations: Design and implement robust solutions connecting Shopify, Adobe Commerce, and other critical systems (ERPs, PIMs, etc.) using ETL tools or iPaaS platforms. Champion data quality: Establish and maintain data standards, implement data cleansing processes, and ensure data integrity across all platforms. Drive automation: Develop automated workflows for real-time inventory and pricing updates between systems, minimizing manual effort and maximizing efficiency. Be a data governance expert: Define and enforce data governance policies and procedures for product data, collaborating with cross-functional teams to ensure compliance. Master our tech stack: Demonstrate expertise in ETL/iPaaS solutions, scripting languages (Python, JavaScript are a plus), and a deep understanding of Shopify and Adobe Commerce platforms. Within 1 month, you'll: Get familiar with our existing data infrastructure, systems, and processes. Collaborate with team members to understand current data challenges and opportunities. Start contributing to ongoing data integration projects. Within 3 months, you'll: Take ownership of key data integration workflows. Implement data quality monitoring and reporting mechanisms. Develop and deploy automation scripts for inventory and pricing updates. Within 6 months, you'll: Lead the design and implementation of new data integration projects. Proactively identify areas for improvement in our data management processes. Contribute to the development of our long-term data strategy. The ideal candidate will have: 3+ years of experience in data integration, ideally within an e-commerce environment. Proven expertise with ETL tools (e.g., Informatica, Talend) or iPaaS solutions (e.g., Workato, MuleSoft). Strong understanding of data modeling, data warehousing, and data governance principles. Hands-on experience with Shopify and Adobe Commerce platforms. Excellent analytical, problem-solving, and communication skills. Bonus points for: Experience with scripting languages like Python or JavaScript Familiarity with agile development methodologies

    Venture Global LNG (“Venture Global”) is a long-term, low-cost provider of American-produced liquefied natural gas. The company’s Louisiana-based export projects service the global demand for North American natural gas and support the long-term development of clean and reliable North American energy supplies. Using reliable, proven technology in an innovative plant design configuration, Venture Global’s modular, mid-scale plant design will replace traditional designs as it allows for the same efficiency and operational reliability at significantly lower capital cost. The Data Engineer is responsible for developing, designing, and maintaining data platform solutions. The measures of an ideal candidate include communication skills, technical proficiency, collaboration, and willingness to learn new things. This new position will be based in our Arlington, VA headquarters and report to the Director of Business Intelligence. This position is structured within IT under the Vice President of Applications. The position will be located in Arlington, VA. Position Responsibilities: Key Responsibilities and Essential Duties: Build complex data solutions in an Azure Cloud environment. Maintain the Azure components and services. Develop architecture changes using infrastructure as code. Create data architectures diagrams for complex data modeling solutions. Create and maintain data dictionaries for contextualizing data from disparate sources. Enable end-to-end automation for deployment using continuous integration and continuous delivery. Implement data pipelines to ingest data to the platform, standardize the data, and transform the data into business facing datasets. Perform unit and integration testing of data pipelines. Perform data integration at scale with Azure Data Factory. Utilize Databricks to transform, curate, and organize data for use with business intelligence reporting and data analytics. Work with BI developers and business SMEs to translate business requirements into curated datasets suitable for analytics solutions. Document data pipelines for maintainability. Work with source system owners and business owners to incorporate business changes into data pipelines. Design data architecture for future platform growth including data warehousing, machine learning, streaming analytics, and data visualization. Assist in testing, governance, data quality, training, and documentation efforts. Actively engage in business stakeholder requirement workshops to understand, interpret, and translate requirements into effective technical solutions. Job Qualifications Bachelor’s degree in Computer Science, Data Analytics, Engineering, Mathematics, Business, or related field of study. 2+ years in cloud architecture and data engineering Extensive experience in implementing data storage solutions, managing, and developing data processing, and optimizing data solutions (Azure) Expertise in integrating, transforming, and consolidating data from structured and unstructured data systems suitable for analytics solutions. Understanding of parallel processing and data architecture patterns. Knowledgeable in data processing languages such as SQL, Python, or Spark. Experience in building secure data processing pipelines using Azure data services. Ability to self-manage and make your own decisions. Excellent interpersonal and communications skills, with strong critical thinking and attention to detail. Strong work ethic with ability to effectively prioritize, meet deadlines, adapt to changing priorities and business needs, and succeed in a fast-paced environment. Excellent attention to detail and the ability to efficiently summarize and prioritize information. Preferred Qualifications Proficient in Microsoft Azure Storage Explorer, Azure DevOps, Azure Data Factory, Azure Databricks, Azure Data Lake Gen 2, Azure DevOps, Unity Catalog and Git Experience in coding languages primarily Python and Spark. Experience in agile development and sprint planning. Strong technical writing skills. Venture Global LNG is an Equal Opportunity Employer. We do not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law.           #LI-Onsite         #LI-Onsite  

This is a hybrid role based in our Chicago office and will require you to be in the office on Tuesdays and Thursdays. What’s so interesting about this role? At Grindr, we’re navigating an exciting time of innovation and growth. This role offers the opportunity to craft and optimize scalable data systems for one of the largest LGBTQ+ platforms in the world, impacting millions of users daily. You’ll play a pivotal role in shaping our AI/ML pipelines, automating processes for SOX compliance, and enhancing the performance of our data architecture as we scale. With cutting-edge technologies and a dynamic environment, this role is perfect for engineers looking to make a difference. What’s the job?  Designing and optimizing ETL workflows in Apache Airflow to enable efficient data transfers between systems such as S3, Snowflake, and Kafka. Developing data products that align with internal governance, scalability, and security standards. Implementing real-time and batch data pipelines using tools like Airflow , Spark , and Snowflake . Taking ownership of database administration, logging, alerting, and SOX compliance processes. Spearheading initiatives to enhance data observability and reduce task failures across pipelines. Mentoring team members to develop their technical expertise. Engaging in R&D to incorporate innovative big data technologies into Grindr’s systems. Enforcing data governance policies and ensuring compliance with legal and security frameworks. What we’ll love about you 8+ years of professional experience in big data engineering, with a proven track record of designing and building secure, scalable, and efficient data platforms for both real-time and batch processing at an enterprise level. 5+ years of experience implementing and optimizing ETL workflows and data pipelines using tools like Python , Airflow , Snowflake , and data lakehouse technologies (e.g., Iceberg). Expert-level proficiency with distributed data processing frameworks such as Spark , Streaming Data , and building real-time streaming pipelines. Practical experience with containerization tools (e.g., Docker, Kubernetes) and advanced knowledge of cloud data ecosystems . Deep understanding of data observability and governance , including creating systems for proactive monitoring, alerting, and SLA enforcement to ensure operational excellence. A strong background in mentoring and technical leadership , with experience guiding teams, setting technical direction, and solving complex challenges collaboratively. Hands-on experience with SOX compliance processes , data governance, and adhering to regulatory frameworks for secure data handling. Familiarity with machine learning operations (ML Ops) and the ability to design scalable pipelines that support AI/ML workflows is a strong plus. We’ll really swoon if you are/have Experience with distributed computing technologies like Databricks or SageMaker. Familiarity with data classification, retention, and compliance practices. A track record of solving problematic pipelines and improving observability in AI/ML workflows.     What you'll love about us Mission and Impact: Grindr is building the global gayborhood in your pocket. Your role will impact the lives of millions of LGBTQ+ people around the world. Through our success, we are making a world where the lives of our community are free, equal, and just. Family Insurance: Insurance premium coverage for health, dental, and vision for you and partial coverage for your dependents. Retirement Savings: Generous 401K plan with 6% match and immediate vest in the U.S. Compensation: Industry-competitive compensation and eligibility for company bonus and equity programs. Queer-Inclusive Benefits: Industry-leading gender-affirming offerings with up to 90% cost coverage, access to Included Health, monthly stipends for HRT, and more. Additional Benefits: Flexible vacation policy, monthly stipends for cell phone, internet, wellness, food, and commuting, breakfast/lunch provided onsite, and yearly travel & leisure stipend. About Grindr Grindr is building the global gayborhood in your pocket. With more than 13.5 million monthly active users, Grindr has become a fundamental part of the LGBTQ+ community and is charting a path to make the world more free, equal, and just. Since 2015, Grindr for Equality has advanced safety, health, and human rights for millions of Grindr users and the global LGBTQ+ community in partnership with more than 100 community organizations in every region of the world. Our next evolution is underway as a public company that continues to grow and build meaningful experiences for our users. From social issues to product innovations, we're setting audacious goals for our community and the business, and leveraging the latest tech stacks and a culture of engineering excellence to make it happen. At the heart of our work in this new chapter is a shared set of operating principles centered around cultivating curiosity, thinking big, setting and expediting our ambitious goals, and growing through iteration; all while keeping our users #1. Grindr is headquartered in West Hollywood, California, with offices in the Bay Area, Chicago, and New York.With a  track record of strong financial performance and plans for continued headcount growth, we’re building a team of talented, passionate, and open-minded people who want to disrupt the dating app space, innovate products, and advance LGBTQ+ culture. Come be a part of this exciting journey with us. Grindr is an equal-opportunity employer To learn more about how we handle the personal data of applicants, visit our Employee and Candidate Privacy Policy .   #LI-Hybrid Grindr is committed to fair and equitable compensation practices. This base pay range is for the U.S. and is not applicable to locations outside of the U.S. The actual base pay is dependent upon many factors, such as training, transferable skills, work experience, business needs, location, and market demands. The base pay range is subject to change and may be modified in the future. This role will also be eligible for equity, benefits, and a company bonus program. Chicago Base Pay Range $166,000 — $195,000 USD

Are you ready to make an impact? West Monroe is looking for a Strategy and Business Analytics Experienced Consultant to join our Technology & Experienced practice with Transaction Services–Data Engineering & Analytics discipline and deliver on technology M&A due diligence projects. The Strategy and Business Analytics Experienced Consultant will work along Transaction Services advisors/architects (Data Engineering and Analytics, Cloud, Cyber, Software Engineering, infrastructure) and executive client stakeholders to support assessment solutions and tech advisory across a variety of industries, including Private Equity, High-Tech & Software, Healthcare, and Financial Services. As a technology agnostic firm, they will also have the chance to continuously expand their skillset while working with cutting edge tools, platforms, and frameworks. This is an exciting opportunity to work within our newly formalized (but long existing) technology M&A offering, working on strategic enterprise projects, advanced analytics due diligences, post-merger integrations, and carve-out advisory engagements. Responsibilities: Collaborate with cross functional teams, Transaction Services’ consultants from other competencies (i.e., Software Engineering, Cloud & Infrastructure, Cybersecurity, Data & Analytics) in support of holistic, tech due diligence assessments for client M&A activity and identify growth and remediation opportunities through analysis of existing data and analytics systems, business processes and data monetization opportunities. Assess underlying technology/libraries/tooling landscape along senior teammates within enterprise organizations to make recommendations to strategic investors on improving market readiness, achieving long-term scalability, and/or reducing operational cost Formulate strategic investment summaries, key risk mitigation analyses, and long-term technology-based strategy for both pre-close and post-close projects Establish the linkage between business strategy and data strategy (and vice versa) to deliver impactful outcomes Executive presence with the ability to present, interpret, and recommend results of work including continued growth opportunity to engage with new concepts, advances in the field, major applications, and progress on all product programs. Be a thought leader, create white papers and represent the organization at various industry conferences and events Growth opportunity within a community data engineers/architects/BI analysts and practitioners Keep pulse of the latest development trends in cloud (AWS, GCP, Azure, etc), data platforms (Databricks, Snowflake etc), databases (RDBMS, SQL, NoSQL, Oracle, etc.), reporting (PowerBI, Quicksight, etc.), ETL/ELT, data warehousing, data hubs, data lakes, data marts etc. and various tools, products, and use cases. Knowledge in data warehousing approaches (Kimball, Inmon), normalized and de-normalized data models including dimensional schemas (star, snowflake) Understanding of streaming (e.g. Kafka, Kinesis), batch& workflow (e.g. Airflow, AWS Glue, CTTRL-M) data transport technologies Experience with Data Visualization tools including PowerBI, Tableau, Looker, etc Drive new business with existing clients by identifying unique opportunities and liaising to appropriate client leads, account managers, or business developers Qualifications: Master’s/Bachelor's Degree in Computer Science, Information Systems, or equivalent relevant work experience 2+ years of hands-on professional development experience in data modeling and data design and experience implementing solutions Consulting firm/industry or start-up experience preferred Experience with the technical programming to access and extract data from diverse sources residing on multiple platforms and implement large, sophisticated data models by combining, synthesizing, and structuring data Exposure in complex data migration to and from disparate data systems/platforms as well as to/from the cloud (AWS, Azure, GCP, etc.) Good knowledge of standard concepts, best practices, and procedures within a data warehousing and Business Intelligence (BI) environment Provide Points of View (POV) and recommendations for cloud-native, industry-leading products along with emerging, start-up offerings Experience in proposal development, estimation, and day-to-day project management (time tracking, budgeting, status reporting, etc.) Strong sense of urgency with comfortability delivering solutions in fast-paced, dynamic environments Excellent critical thinking, leadership, communication, and project management skills Willingness to travel for out-of-town client engagements A commitment to inclusion and diversity, and openness to new ideas and perspectives   Based on pay transparency guidelines, the salary range for this role can  vary based on your proximity to one of our West Monroe offices (see  table below). Information on our competitive total rewards package,  including our bonus structure and benefits is  here . Individual salaries are determined by evaluating a variety of factors including geography,  experience, skills, education, and internal equity. Employees (and their families) are covered by medical, dental, vision, and basic life insurance. Employees are able to enroll in our company’s 401k plan,  purchase shares from our employee stock ownership program and be eligible to  receive annual bonuses. Employees will also receive unlimited flexible time off  and ten paid holidays throughout the calendar year. Ten weeks of paid parental  leave will also be available for use after successful completion of one year of  employment. Seattle or Washington, D.C. $98,300 — $109,200 USD Los Angeles $103,000 — $114,400 USD New York City or San Francisco $107,600 — $119,600 USD A location not listed above $93,600 — $104,000 USD West Monroe is a digital services firm that partners with companies in transformative industries to deliver quantifiable financial value. We believe that digital is a mindset and it’s something companies become, not something they do. We bring together diverse, multidisciplinary teams that use their expertise to develop and execute new ideas and ways of working.    At West Monroe, we invest in our people and care in a big way. We are growing the next generation of leaders who lead with inclusion, enabling us to address our clients’ most complex challenges. If you’re looking for a place where you’ll feel supported, our team will help you grow. We believe that growth breeds opportunity for all. And know that when we come together, we can do what's never been done.   Our fast-paced culture and collaborative teams bring the energy and expertise needed to make an impact and deliver beyond expectations. If you are ready to set big goals with us , j oin us on our journey of building what matters for our clients, our people, and our communities.   West Monroe   is an Equal Employment Opportunity Employer   We believe in treating each employee and applicant for employment fairly and with dignity. We base our employment decisions on merit, experience, and potential, without regard to race, color, national origin, sex, sexual orientation, gender identity, marital status, age, religion, disability, veteran status, or any other characteristic prohibited by federal, state or local law. To learn more about diversity, equity and inclusion at West Monroe, visit www.westmonroe.com/inclusion .   If you are based in California, we encourage you to read West Monroe’s Notice at Collection for California residents, provided pursuant to the California Consumer Privacy Act (CCPA) and linked here .  

At dYdX you'll have an opportunity to build state-of-the-art decentralized technologies that will redefine global financial markets. By joining us at this stage in our growth, you will help make fundamental decisions that will shape the course of dYdX.  → Learn more about working at dYdX ABOUT dYdX: We’ve built the software underlying the world’s leading decentralized exchange for advanced trading of crypto derivatives dYdX is founded by an ex-Coinbase, ex-Uber engineer, with a Princeton CS background. Our team has previous experience at Coinbase, Uniswap, Google, Amazon, Lyft, Meta and other top companies We're a world-class team with top backers and advisors, including Andreessen Horowitz, Polychain Capital, Brian Armstrong, Fred Ehrsam, Naval Ravikant, Elad Gil, and more  RESPONSIBILITIES: Growth Analytics Collaborate closely with marketing and other cross-functional teams to understand campaign strategies, lifecycle efforts, product usage metrics, and translate those into actionable data insights using tools like SQL and Mode Analyze growth funnels, campaign performance, and user cohorts to identify key acquisition and retention drivers to inform product decisions  Own attribution and cohort analyses across marketing channels to optimize user acquisition strategy Design and evaluate A/B tests and lifecycle marketing strategies to improve user conversion and engagement Data Infrastructure & Enablement Design and maintain scalable data pipelines and structured models in the data warehouse (e.g., using SQL) to power marketing dashboards, campaign tracking, and self-serve analytics Build pipelines for blockchain transaction, order book, and market participant data to support analysis of user behavior, product engagement, and market dynamics relevant to growth strategies Own and evolve marketing dashboards with KPIs, data visualization with strong story telling, etc. to influence marketing and product decisions for Senior Leadership Ensure high data quality and consistency by implementing validation, monitoring, and documentation standards; establish strong data governance practices across marketing and growth analytics Help instill a data-first culture by making tools and metrics intuitive, reliable, and accessible. Provide guidance to teammates on how to use and interpret data Continuously enhance data infrastructure by optimizing systems, evaluating new tools, and promoting data best practices across the organization Work closely with cross-functional teams to understand data requirements and deliver solutions that meet business needs REQUIREMENTS: Bachelor’s or Master’s degree in quantitative fields (Computer Science, Statistics, Economics) or a related field 4+ years of experience in data science, analytics, product analyst or a similar discipline 2+ years of experience working with blockchain or order book data (e.g. experience indexing blocks, building dashboards in Dune or similar, working with market data from crypto exchanges) Expertise in SQL, database technologies, cloud databases, and reporting technologies (BigQuery, GCP, and Mode or similar) Proficient in Python,  Proficient with data visualization tools for generating insights and communicating findings effectively Solid understanding of ETL processes, data modeling, and data warehousing principles Entrepreneurial and intellectually curious, with a passion for asking the right questions, exploring data, and developing well-reasoned hypotheses NICE TO HAVES: Familiarity with cloud data platforms (e.g., AWS, GCP, Azure) Understanding of machine learning and data science methodologies Experience or knowledge in trading, particularly high-frequency trading (HFT), market structure, and derivatives Passion for DeFi and web3, with specific interest in dYdX and a proven track record Relevant certifications in data engineering or analytics Salary range for this job is $190K to $240K USD (NY). Compensation subject to experience and location. Published salary bands pursuant to transparency laws, and do not include possible variable compensation such as annual merit increases, bonus eligibility, commission, or equity incentive.

We are seeking a highly skilled and motivated Senior Data Engineer to join our team at Shopmonkey. This role is critical to building, maintaining and improving our data infrastructure, ensuring that our data pipelines are robust, efficient, and capable of delivering high-quality data to both internal and external stakeholders. As a key player in our data team, you will have the opportunity to make strategic decisions about the tools we use, how we organize our data, and the best methods for orchestrating and optimizing our data processes.Your contributions will be essential to ensuring the uninterrupted flow of data across our platform, supporting the analytics needs of our clients and internal teams. If you are passionate about data, problem-solving, and continuous improvement, we encourage you to apply. This role offers a unique opportunity to take an active role in shaping the future of Shopmonkey's data infrastructure, making meaningful contributions to our platform's efficiency and reliability. Please note for San Francisco Bay area-based candidates, this is a hybrid role with in-office expectations 2-3 days/week at our Morgan Hill, CA office to collaborate and stay connected. What You Will Do: Continuous Enhancement: Build, maintain and elevate Shopmonkey's data infrastructure, ensuring peak performance and dependability. Strategic Leadership: Drive the decision-making process for the selection and implementation of data tools and technologies. Streamlining: Design and refine data pipelines to ensure smooth and efficient data flow. Troubleshooting: Manage the daily operations of the Shopmonkey platform, swiftly identifying and resolving data-related challenges. Cross-Functional Synergy: Partner with cross-functional teams to develop new data requirements and refine existing processes. Guidance: Provide mentorship to junior engineers, supporting their growth and assisting with complex projects. Collaborative Innovation: Contribute to ongoing platform improvements, ensuring a culture of continuous innovation. Knowledge Expansion: Stay informed on industry trends and best practices in data infrastructure and cloud technologies. Dependability: Guarantee consistent data delivery to customers and stakeholders, adhering to or surpassing service level Oversight: Monitor and sustain the data infrastructure, covering areas like recalls, message delivery, and reporting functions. We Are Looking for People Who Have: 5+ years of industry experience and Bachelor's Degree in STEM preferred additional experience is also accepted in lieu of a degree Proven experience with Kubernetes and Cloud infrastructure (GCP preferred) Strong proficiency in Python and SQL for data processing and automation. Expertise in orchestration tools such as Airflow, Docker, etc.. Understanding of performance optimization and cost-effectiveness in dataware houses like Snowflake, ClickHouse, etc. Ability to work effectively in a collaborative, cross-functional environment. Strong problem-solving skills with a proactive and solution-oriented mindset. Experience with additional orchestration tools like Dogster or Meltano. Knowledge of DBT, particularly in setting up new projects. Demonstrated ability to build and maintain complex data pipelines and data flows. In the United States, the range is typically a salary of $163,000 to $195,000 + bonus + equity + benefits. The range provided is Shopmonkey's reasonable estimate of the base compensation for this role. The actual amount will be based on job-related and non-discriminatory factors such as location, experience, training, skills, and abilities. Consult with your Recruiter during the initial call to determine a more targeted range based on these job-related factors. In addition to this base compensation company stock options and benefits as outlined below are included.

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. Avail (part of Realtor.com | Homes for Sale, Apartments & Houses for Rent ) is a fast-growing platform transforming how independent landlords and tenants manage the rental experience. Built with the spirit of a startup and backed by the scale and stability of a leading digital real estate company, Avail provides a complete suite of tools, resources, and education to help landlords manage their properties with confidence and professionalism. As part of the Avail team, you'll have the opportunity to make a meaningful impact - shaping the future of this rapidly expanding brand and helping to reimagine the rental industry for millions across the U.S. We're looking for an experienced Data Analyst with a strong background in business intelligence and strategic analytics to help shape the future of Avail. As a trusted partner to the Avail leadership team, you will be the vital link between complex data and pivotal business moves, striving to enable and empower data-driven decision making across the business. In this role, you will analyze large and complex data sets, define and track business KPIs, build automated reporting solutions, conduct robust analyses, generate actionable insights, and deliver clear recommendations that inform critical decisions across strategy, product, marketing, and operations. The ideal candidate is a detail-oriented analytics expert, a self-starter comfortable with ambiguity, and a team player who excels in cross-functional collaborations, with the ability to work in a fast-paced environment, and driven by a desire to make things better. What You'll Do: Partner closely with Avail business stakeholders to understand/clarify needs and requirements, and translate them into analytical problems. If the required data is not available, work with the team to identify the right data sources, and build analytical data layers in collaboration with the data engineering partner. Independently conduct end-to-end data analytical work from data collection, ETL, analysis, to the delivery of insights and recommendations. Serve as Avail's Business Intelligence expert and own KPI development, measurement, tracking, and reporting. Closely monitor KPIs and carry out deep-dive analysis to explain changes and trends, and surface areas of opportunities. Own and run regular business performance reporting, and actively contribute analytics-related content to business reviews and other reports. Build automated reports and dashboards using tools such as Tableau, Mixpanel, etc. Build and grow adoption of self-service solutions that empower stakeholders to access data and insights, and hence accelerate data-driven decision making. Conduct market and competitor analysis using a variety of internal and external data sources. Work with Avail leadership team on strategic initiatives and planning, providing analytical support on financial modeling, forecast, opportunity sizing, and so on. How We Work: We balance creativity and innovation on a foundation of in-person collaboration. For most roles, our employees work three or more days in our offices, where they have the opportunity to collaborate in-person, adding richness to our culture and knitting us closer together. What You'll Bring: Bachelor's degree, ideally in a quantitative field or Data/Business Analytics. 6+ years of relevant experience as a Data Analyst, Business Analyst, or similar role. SQL proficiency is a must, with 6+ years of experience. Proficiency with Excel/Google Sheets for quick reporting and ad hoc analysis. Strong capability to work with complex data sets and perform EDA, descriptive, diagnostic, and predictive analyses. Experience with cloud-based data environments such as Snowflake and AWS. Significant experience creating business intelligence reports using Tableau, Mixpanel, Power BI, or similar tools. Proven experience using data and analytics to drive revenue and other business KPIs, and doing so in a proactive manner by actively seeking to identify opportunities. Excellent written and verbal communication skills, with experience presenting to diverse technical and business audiences at different levels. Experience in collaborating with cross-functional partners. Experience managing multiple priorities, responding to urgent data requests, and adapting to changing business needs and priorities. Preferred Qualifications: Master's degree in a quantitative field or Data/Business Analytics. Proficiency with a scripting language such as Python or R. Experience in the tech sector, especially marketplace or property tech. 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. 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.

Join Aristocrat to deliver top-tier entertainment using modern technology and outstanding content. As a Data Product Manager in our Core Product team, you will craft our data strategy and develop groundbreaking solutions for analytics. Seeking a passionate, ambitious individual adept at crafting data-driven products. You will coordinate developing data products spanning our central data lake, modern reporting, analytical tools, and automation. Join our team dedicated to delivering insightful analytics and digitalization for efficient processes across the group and our customers. This role is remote to start, but will transition to a hybrid schedule once our office location is established. What You'll Do Be a data expert with a deep understanding of data producers, ELT/ETL processes, data consumers, data quality, data architecture, analytics, machine learning, and cloud services. Lead the entire data product lifecycle, including product roadmap development, frequent communication with clients, and translating business needs into PRDs, Features, and User Stories. Collaborate with data engineers and QA teams to finalize the delivery and launch of innovative products. Collaborate closely with the rest of the product organization on new initiatives to facilitate early requirement gathering. Contribute to the overall data architecture by investigating data assets, technical platforms, integrations, and processes across functions. Be a hands-on product manager, deeply involved in the day-to-day operations of the data engineering team. Coordinate implementation and release workflows to ensure strict adherence to deadlines. Run the Agile framework, including daily stand-ups, sprint planning, and retrospectives. Work with Marketing to provide Data & BI platform awareness and guides both internally and externally. What We're Looking For Managed data products with 1+ year of experience, specializing in data & analytics solutions (Data Lake/DWH/Cloud Service). Experience in a similar role within the iGaming industry, with Sportsbook Data and BI experience being highly beneficial. BA/B.Sc. in Industrial Engineering, Economics, Information Systems, Computer Science/Engineering, Information Technology, or another quantitative field. Understanding of how product use cases affect data modeling, data infrastructure, and data analytics. Working experience with Snowflake and Azure SQL Data Warehouse. Demonstrating proven experience in leading the development of data products by using ELT and Data Streams. Outstanding communication skills in English and strong problem-solving abilities. Ability to multitask and meet deadlines in a fast-paced environment. Demonstrated track record of delivering significant Business Intelligence through reports, dashboards, and visualizations using platforms such as Power BI, Tableau, Looker, Qlik Sense, or Sisense. Experience with product management tools, including Jira, Trello, TFS/Azure DevOps Server, and Monday.com. Company Summary Aristocrat Interactive Aristocrat Interactive is Aristocrat Leisure Limited's (ASX:ALL) regulated online Real Money Gaming (RMG) business and was formed in 2024 when the Anaxi and NeoGames businesses (Anaxi, NeoGames, Aspire Global, BtoBet, and Pariplay) came together. The business is an industry leader in content and technology solutions for online RMG, with a full-service offering that includes content, proprietary technology platforms and a range of value added services across iLottery, iGaming and Online Sports Betting (OSB). About Aristocrat Aristocrat Leisure Limited (ASX: ALL) is a leading gaming content creation company powered by technology to deliver industry-leading casino games together with mobile games and online real money games, collectively entertaining millions of players worldwide, every day. Headquartered in Sydney, Australia, Aristocrat has three operating business units, spanning regulated land-based gaming (Aristocrat Gaming), social casino (Product Madness) and regulated online real money (Aristocrat Interactive). Our team of over 8,500 people across the globe are united by our company mission to bring joy to life through the power of play. Our Values All about the Player Talent Unleashed Collective Brilliance Good Business Good Citizen Travel Expectations None Pay Range $110,049 - $204,376 per year Our goal is to pay a market competitive salary focusing near the median of our pay ranges. However, final offers for all positions will be based on several factors such as experience level, education, skills, work location, and internal pay equity. This position offers a comprehensive benefits package, including health, dental, and vision insurance, paid time off, and a 401(k) plan with employer matching, more details available at https://atibenefits.com/ . Additional Information This role is subject to mandatory background screening and regulatory approvals. As part of your employment with Aristocrat, you may be required to complete a criminal background check, submit fingerprints, and obtain licenses or registrations with applicable gaming regulatory authorities. Aristocrat operates in a highly regulated environment and holds licenses in over 340 gaming jurisdictions worldwide. To meet our global compliance obligations, you will be required to provide the disclosure of relevant personal and background information to government agencies, sovereign nations/tribal regulators, and other applicable gaming regulatory bodies. This is a condition of Aristocrat's gaming licenses. The specific information required may vary depending on the jurisdiction and project assignment. At this time, we are unable to sponsor work visas for this position. Candidates must be authorized to work in the job posting location for this position on a full-time basis without the need for current or future visa sponsorship.

At eBay, we're more than a global ecommerce leader - we're changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We're committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work - every day. We're in this together, sustaining the future of our customers, our company, and our planet. Join a team of passionate thinkers, innovators, and dreamers - and help us connect people and build communities to create economic opportunity for all. Company: eBay Location: Austin/Portland (Hybrid) Job Type: Full-time About eBay eBay is a global commerce leader that connects millions of buyers and sellers around the world. We empower people and create economic opportunities for individuals, businesses, and communities. We're driven by a vision to create a more sustainable form of commerce that benefits the environment and society as a whole. Join us as we continue to innovate and shape the future of e-commerce. Job Description: Cloud Data Technologies (CDT) team at eBay is responsible for all the data infrastructure and management of end-to-end data lifecycle for all eBay data from onsite to analytics use cases. We are seeking a Software Engineer passionate about data-driven technologies and architectures. About the Role We're seeking a Member of Technical Staff 1 (Software Engineer) who can work independently and is an expert in distributed systems. You'll design and deliver well-scoped services and features that advance eBay's Core Data Platform-improving scalability, reliability, and developer experience. This role is Data Platform Engineering (not data engineering): you'll build and evolve the platform itself rather than author application pipelines. What you'll do and learn Independently design, implement, and ship distributed services and features end-to-end (design → code → tests → deploy → operate). Build core platform capabilities across ingestion, streaming, lakehouse/warehouse, catalog, and governance. Write production-grade code with strong observability (metrics, logs, traces) and SLOs, and participate in on-call for the services you own. Diagnose and resolve performance, scalability, and correctness issues in distributed environments. Contribute design docs for your areas; participate in reviews to uphold reliability, security, and cost best practices. Collaborate with product, infra, and analytics teams to align technical work with business outcomes. What you bring Must-haves 6+ years of professional software engineering experience (or equivalent impact). Expertise in distributed systems fundamentals (consensus, replication, partitioning, consistency models, fault tolerance) and practical experience building and running such systems in production. Strong coding skills in Java/Python and familiarity with CI/CD. Hands-on with some of: Kafka/Flink, Spark, Delta/Iceberg, Kubernetes, NoSQL/columnar stores. Proven ability to work independently, make sound tradeoffs, and deliver quality outcomes with minimal supervision. Solid debugging, performance analysis, and system design skills. Nice-to-haves Experience building multi-tenant platform services, data governance, or privacy-by-design controls. Contributions to open-source distributed systems or data platforms. What Success Looks Like (6-12 Months) Consistently ships independent, well-scoped features/services to production with strong reliability. Demonstrably improves throughput/latency/cost or availability/SLOs on owned services. Becomes a go-to engineer for distributed-systems debugging and design conversations within the team. Maintains high code quality, test coverage, and quality-in-release metrics. Why Join CDT @ eBay Impact at scale: Your platform work powers analytics and ML across a global marketplace. Hard problems: Streaming freshness/correctness, storage/compute efficiency, multi-region resiliency. Collaborative culture: Inclusive team that values autonomy, craftsmanship, and knowledge sharing. Growth: Strong mentorship, career development resources, and sustainable on-call practices. The base pay range for this position is expected in the range below: $115,200 - $199,700 Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience. The total compensation package for this position may also include other elements, including a target bonus and restricted stock units (as applicable) in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as PTO and parental leave). Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employees will be in an "at-will position" and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors. Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay. eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information.

Where we Work Udemy is a global company headquartered in San Francisco, with additional U.S. offices in Denver and Austin, and international hubs in Australia, India, Ireland, Mexico, and Türkiye. T his is an in-office position, requiring three days a week in the office (Tuesday, Wednesday, Thursday) and flexibility on Mondays and Fridays . About your skills You’re a data scientist who’s passionate about turning raw data into meaningful insight and action. You know that great analysis doesn’t just explain what happened; it helps people understand why it matters and what to do next . You’re fluent in SQL, Python and Experimentation best practices, and comfortable navigating ambiguous business problems. You thrive in cross-functional environments, especially when working closely with Product, Marketing and Engineering teams. You’re equal parts technical and communicative, and the intersection of data science and storytelling excites you. You enjoy partnering with cross-functional stakeholders, and you’re energized by uncovering patterns in behavior that drive real outcomes for customers. You’re curious, a fast learner, and constantly thinking about how to scale your impact through automation and proactive insight. About this role This is a highly visible role that sits at the intersection of product, data science, and pricing strategy. The Principal Data Scientist, Product & Pricing Analytics will play a key role in ensuring the vibrancy of Udemy’s consumer marketplace. In this role, you will work with stakeholders in Product and Marketing to drive data-informed decisions about how we price courses, measure the performance of our econometric pricing algorithms, design and execute experiments, create dashboards to drive revenue maximization efforts, and suggest strategic changes in our pricing and promotions strategy based on insights from user data. Success in this role will require a combination of strong communication and collaboration skills, sharp product sense, a customer-centric mindset, and solid technical data science skills. We are interested in building a diverse, collaborative, and fun environment. Come help us improve lives through learning! What you’ll be doing Serve as the embedded product data science partner in a cross-functional team responsible for pricing and product experimentation at Udemy, including PMs, Engineers, and Marketers. Work with the team to develop a rich program of experimentation to improve the revenue performance of our consumer marketplace including metric creation, experiment design, power analysis, and analysis of experiment results. Use advanced analytics techniques (e.g., clustering, regression, forecasting) to uncover insights that shape how we serve consumer accounts. Drive data-informed decision-making within the Product and Pricing teams by equipping PMs, Marketers and Engineers with self-service analytics tools, and conducting ad hoc analyses and causal studies for the team. Measure price elasticities, average selling prices, and conversion rates in our marketplace, and use those metrics to help brainstorm potential price experiments to drive revenue gains. Work with Udemy’s Pricing & Promotions team to quantify, understand, and prioritize improvements to our pricing system. Collaborate with Data Engineering to improve data pipelines and access. What you’ll have Bachelor's degree in a relevant technical field, or equivalent practical experience. 6+ years of hands-on Data Science or ML Engineering experience (4+ if you have a PhD), with past work in product, customer and/or pricing analytics strongly preferred. Expert-level SQL and Python skills; experience with Databricks or similar cloud data warehouses. Broad knowledge of applied statistics, experimental design, and analysis of A/B tests. Experience working with Github and CI/CD code review processes. Experience building automated data pipelines using tools like Airflow and dbt. Exceptional data storytelling and data visualization ability. Experience with Tableau, and a strong eye for visual storytelling and usability, is a big plus. A proactive mindset with ability to translate open-ended business questions into structured analyses and actionable recommendations. Strong ownership and ability to work autonomously, while also collaborating with teams and colleagues that span global time zones. Posting Date: 10/29/2025 Application Window: We anticipate the application window will be open until 11/29/2025. Based on business needs, this opportunity may remain posted beyond or closed before the anticipated application window.

At Roche, we thrive to deliver more benefits to our patients as part of our 10-year Pharma vision. An integral part of achieving this vision is to deliver new and innovative data analytics solutions to our scientists across Pharma Technical Operations (PT). PT Digital and Operational Excellence (PTE) is the organization that catalyzes the global development and execution of PT’s Digital and Operational Excellence strategy to enable PT to realize our performance promises. We build a strong cross-functional and inclusive community, put the power of data into the hands of our people, further develop the Lean and Digital skills across PT, and scale up our Digital and Advanced Analytics solutions, for the benefit of our colleagues and patients. We aim to activate data citizenship and digital mind, revolutionize our FAIR data ecosystem and systems landscape, re-design excellent processes, and generate transformative insights. We collaborate closely with global functions to deliver impactful value to our patients. The Opportunity As a Statistician and Data Scientist, you will contribute to advancing data science and statistical solutions across PT, with a focus on cell and gene therapy. Working closely with scientists, engineers, and business partners, you’ll design experiments, analyze data, and build tools that generate insights, improve efficiency, and accelerate drug development. We’re looking for an open-minded, innovative individual who enjoys solving scientific and operational problems with data, values collaboration, and is eager to learn in a dynamic environment. What You’ll Do Provide statistical expertise and solutions to Pharma technical operations, including process development, analytical method development, commercial manufacturing and quality control for cell and gene therapy. Collaborate with cross-functional teams to identify key scientific and operational questions and define analytical approaches. Design and execute studies that generate reliable data to support decision-making. Undertake research using scientific approaches and state-of-art methodologies, including machine learning and AI, to analyze complex datasets. Interpret results and communicate insights clearly, translating findings into actionable business and scientific recommendations. Develop software programs, algorithms, and automated processes to cleanse, integrate, and evaluate large datasets from multiple disparate sources. Keep current with emerging methodologies, regulatory requirements, and industry trends through continuous learning and professional engagement. Who You Are You have a Master's or Ph.D. in Statistics, Biostatistics, or relevant field. At least 1 year experience in designing experiments (DOE), analysing complex datasets, and applying statistical methods to pharmaceutical technical development, particularly in cell and gene therapy. At least 3 years of hands-on experience with statistical techniques (e.g., linear mixed models) and tools such as R and JMP. Familiarity with regulatory guidelines (FDA, EMA), strong collaborative skills for working in multidisciplinary teams, and great communication skills for reporting and stakeholder liaison. Analytical and problem-solving skills, ability to manage multiple projects, and high attention to detail to ensure accuracy and reliability. Self-motivated, able to work independently, keen on staying updated with new developments in statistics and data science, and passionate about continuous improvement and learning. Relocation benefits are not available for this role The expected salary range for this position based on the primary location of Philadelphia, PA is $106,300- $197,500. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below. Benefits Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws. If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants .

Job Description About Horizon Media Horizon Media, founded in 1989 by Bill Koenigsberg, is recognized as one of the most innovative marketing and advertising firms. We are headquartered in New York City, with offices in Los Angeles and Toronto. A leader in driving business solutions for marketers, Horizon is known for its highly personal approach to client service. Renowned for its incredible culture, Horizon is consistently named to prestigious annual “Best Places to Work” lists published by Fortune, AdAge, Crain’s New York Business, and Los Angeles Business Journal. Together we are building a place of belonging. At Horizon, we understand the value that different perspectives bring to our clients and culture, so we strive for an environment where our employees feel welcomed, safe, and empowered. We value YOU and believe that your authentic voice and unique perspective make our culture and solutions stronger. Our simple recipe for success? We hire talented people (thinkers, doers, dreamers, makers), challenge them, and give them every opportunity to grow. Who You Are You are a collaborative, detail-oriented leader with a deep understanding of data movement, integrations, and compliance across marketing technology ecosystems. You excel at building cross-functional partnerships, relationships with clients and partners and have a knack for translating complex business needs into actionable technical requirements and understand the complex scenarios clients navigate to make their data work for them. You don’t just “move the data”—you own the data pipelines, ensuring data delivers clear business value, is prioritized appropriately, and is designed for long-term scalability. You are a collaborative, detail-oriented leader with a deep understanding of first-party and third-party data onboarding, CRM integrations, pixel and tag management (PIXEL/Connect), and Marketing Partner Platforms (MPP).You seek to understand the “why” behind any request and drive cohesion from vision to delivery. You excel at standardizing data onboarding and transformation processes and advocate for data integrity by socializing best practices. What You’ll Do First Party and Third Party Onboarding & Integration – 25% Lead the standardization of first-party data and third-party data onboarding processes across clients and platforms, ensuring consistency, compliance, and scalability. Oversee CRM, PIXEL/Connect, and MPP integrations, establishing best practices and technical requirements. Maintaining onboarding and transformation standards documentation. Collaborate with internal and external stakeholders to align onboarding processes with business goals and technical needs. Monitor KPIs for outbound data flows and report on performance, adoption, and ROI. Data Transformation & Hygiene – 25% Develop and enforce standardized transformation and hygiene protocols for both first-party and third-party data. Ensure all licensed data is transformed and maintained to accurately feed taxonomies and downstream systems. Partner with Marketing Science to maintain standard documentation for data onboarding, data transformations, hygiene and classifications. Partner with Data Maintenance Director to ensure data is onboarded in accordance with best practices and appropriate monitoring is in place when new data feeds are created. Proof of Concept Leadership – 20% Design and execute proof of concept (POC) onboarding data tests to validate new approaches and technologies. Accelerate the speed of Proof of Concepts (POCs) through standardization and automation. Analyze results and present recommendations for scaling successful POCs into production processes. Cross-Functional Partnership & Stakeholder Management – 30% Serve as Horizon’s Subject Matter Expert for data onboarding and data transformation requirements, bridging business needs with technical execution. Build strong relationships with internal business units, product owners, and external partners to align roadmaps and expectations. Foster growth of junior team members and promote strong relationships throughout the organization Facilitate workshops, requirements gathering, and solution design sessions for new integrations or enhancements. Job Requirements BS/BA degree in Marketing, Business, Data/Computer Science, or a related field—or equivalent experience. 7+ years of experience in data operations, product management, or marketing technology, ideally in an agency or media environment. Strong understanding of data integration concepts, APIs, and audience distribution technologies (e.g., CDPs, DMPs, Clean Rooms). Experience managing vendor/partner relationships and cross-functional projects. Excellent problem-solving skills with the ability to prioritize and manage multiple initiatives simultaneously. Proven experience documenting business use cases, conducting ROI analysis, and prioritizing based on impact and scalability. Strong written and verbal communication skills, with the ability to explain technical concepts to non-technical audiences. Proficiency with tools such as Snowflake, AWS, Tableau, and Jira; experience with data privacy compliance a plus. Experience with ETL tools such as FiveTran, Apache Airflow, or Stitch. Why This Role Rocks Be the business-technical translator who ensures every data flow delivers measurable value. Drive the prioritization of integrations that matter most to our clients and our business. Influence the roadmap for Horizon’s data ecosystem. Collaborate across teams and with top-tier clients in a culture that values curiosity, transparency, and impact. Be a key contributor to the growth and success of the blu platform. #LI-KG1 #LI-HYBRID #HM Horizon Media 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. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Salary Range $160,000.00 - $190,000.00 A successful applicant’s actual base salary may vary based on factors such as individual’s skill sets, experience, training, education, licensure/certifications, and qualifications for the role. As an organization, we take an aptitude and competency-based hiring approach. We provide a competitive total rewards package including a discretionary bonus and a variety of benefits including health insurance coverage, life and disability insurance, retirement savings plans, company paid holidays and unlimited paid time off (PTO), mental health and wellness resources, pet insurance, childcare resources, identity theft insurance, fertility assistance programs, and fitness reimbursement.

Summary: View the Distribution System’s finance and rewards structure broadly via helping to design rewards and then partnering to support office financials. W ork with Field and Home Office Leaders to interpret office financials, influence Field Office decision making with financial analysis , and proactively identify risks, issues and opportunities for deeper analysis. Involved in the design projects involving the evaluation, resolution and implementation of Field compensation , benefits and recognition program s considering the implications of all stakeholders. P rovide guidance and support to the Field consultation roles (e.g., P rincipals and Field financial consultants) and the Field offices you support. Primary Duties & Responsibilities: Proactively identify Network Office financial issues and assist the Principal s and internal management in resolving by providing research and resolution options, considering financial performance management standards, guidelines and accountabilities. Participate in interdepartmental projects related to the development of Field compensation , benefits and recognition for products or distribution initiatives. Perform analysis required for the assignment, including development of financial models. Manage the project work including the scope, schedule and documentation of research, analysis, modeling and presentation of implications to all stakeholders (financial representatives, Field management and policyowner/home office). Develop educational and promotional materials regarding the financial representative and Field management compensation packages. Provide guidance to company and Field regarding compensation , benefit and recognition programs through consultations. Prepares financial scenarios using various financial modeling tools and concepts (Budgeting, F orecasting, NPV, ROI , etc . ) to direct decisions about investments in the Office. Collaborate with the regional t e am, Field business partners and internal management to assess, define or propose investment strategies for the Office. Regular r eview of financial results with Field and Home Office leaders assessing against budget, forecast and peer performance to identify areas of risk and opportunity for additional operational focus. Gather and review competitor information to prepare comparisons to the company's Field compensation offerings. Provide guidance to company and Field individuals on competitor compensation. Knowledge, Skills, & Abilities: Bachelor’s Degree in Accounting, Finance, Actuarial Science, Mathematics or Economics MBA, CFA or other relevant advanced degree preferred, but not required Minimum of 5 years of related business experience working with financial statements, performing financial analysis & modeling using spreadsheet tools Strong analytical skills with the proven ability to analyze business problems and make decisions Demonstrated independent leadership and project management skills High degree of personal initiative and ability to work independently managing multiple projects simultaneously in a fast - paced environment Demonstrated ability to build rapport and influence at all levels within the Home Office and Field and participate in a cooperative team environment , comfortable working in a highly matrixed organization 5-10 % travel time required Compensation Range: Pay Range- Start: $76,650.00 Pay Range- End: $142,350.00 Geographic Specific Pay Structure: We believe in fairness and transparency. It’s why we share the salary range for most of our roles. However, final salaries are based on a number of factors, including the skills and experience of the candidate; the current market; location of the candidate; and other factors uncovered in the hiring process. The standard pay structure is listed but if you’re living in California, New York City or other eligible location, geographic specific pay structures, compensation and benefits could be applicable, click here to learn more. Grow your career with a best-in-class company that puts our clients' interests at the center of all we do. Get started now! Northwestern Mutual is an equal opportunity employer who welcomes and encourages diversity in the workforce. We are committed to creating and maintaining an environment in which each employee can contribute creative ideas, seek challenges, assume leadership and continue to focus on meeting and exceeding business and personal objectives.

About JPA Health JPA Health is a fully integrated marketing, communications and medical communications agency for clients ranging from emerging biotech to established pharmaceutical companies and public health organizations . We work exclusively within the health sector . We share our clients’ commitment to making people healthier. In fact, some might say we are obsessed with improving and protecting lives. Check out our sizzle reel! The Role JPA is searching for a Life Sciences, Marketing Analytics Data Scientist, to join our Integrated Intelligence team. You’ll blend analytics, applied statistics, and development to transform omnichannel marketing data into models, dashboards, and insights that fuel behavior change. You’ll work across teams to design, measure, and optimize life sciences marketing programs across audiences and channels. This position is a full-time, hybrid role reporting to any JPA office (i.e., Boston, Washington, DC, Philadelphia, New York City) 2 days per week and working remotely 3 days per week. Applicants must be authorized to work in the United States without current or future need for visa sponsorship The Responsibilities Design and implement data pipelines to ingest, transform, and QA multi-source marketing data (paid, owned, earned, CRM, web, email, social, events, qualitative). Build statistical models (e.g., regression, classification, forecasting, clustering) to identify performance drivers, segment audiences, and predict outcomes. Develop fit-for-purpose marketing attribution and contribution approaches based on available data; quantify incrementality where feasible. Create dashboards and automated reporting that translate complex results into simple, visual stories for technical and non-technical stakeholders. Plan and analyze A/B and multivariate tests; estimate impact and uncertainty; recommend next-best actions and channel allocations. Partner with engagement specialists and performance analytics teams to translate insights into channel, message, and audience optimizations throughout the campaign lifecycle. Document methods, code, and data dictionaries; champion data quality, reproducibility, and privacy-aware measurement. Present findings to clients; manage timelines and priorities across concurrent projects. About You Our ideal candidate must have: Bachelor’s degree in a quantitative field (e.g., statistics, mathematics, economics, engineering) or equivalent experience. 3–5 years in life sciences marketing analytics, data science, or a related role within an agency or in-house team. Experience with privacy-aware measurement techniques and working within regulated industries, especially life sciences. Hands-on coding experience for data wrangling, analysis, and statistical modeling, including version control and code review practices, including working familiarity with Python, R or SQL. Strong grasp of experimental design, statistical inference, and causal thinking; able to communicate assumptions and limitations clearly. Experience building automated dashboards and reports; adept at data visualization and storytelling using tools like Tableau and PowerBI. Familiarity with omnichannel datasets and measurements across paid, owned, and earned media. Comfortable working with imperfect data and designing solutions that scale. Excellent communication skills; client-facing presence; collaborative approach with cross-functional partners. What Makes Us Different JPA Health offers you the opportunity to work with purpose as you achieve extraordinary results for our clients. You will elevate your career in an environment that thrives at the intersection of wellness, connection, and compassion. Our mission to help people live healthier lives begins with you. Our approach prioritizes compassion to ensure you and your family flourish. We promote flexibility with adaptable work arrangements for a balanced personal and professional life. Our Collaboration Days are designed to strengthen relationships and enhance well-being. Respect, inclusion, camaraderie, and connection – this is the heart of our agency’s ethos. We elevate each other. We work collaboratively. And we push ourselves to think bigger. In addition, JPA Health offers: Paid time off when you need it most: 20+ days PTO, 10 holidays, Sabbatical, bereavement & compassion leave, parental leave, civic duty, volunteer time and year-end office closure. Unlimited access to LinkedIn Learning, internal webinars through JPA’s Elevate Institute, tuition reimbursement, paid professional development, and paid learning and development time. An impressive and comprehensive benefits package that supports you and your family’s physical, mental and financial well-being. Competitive pay and opportunities to advance. The anticipated starting pay for this role is between $107,000 and $120,000 annually, based on a variety of factors including but not limited to experience, qualifications, and location. You may also be eligible for performance-based bonuses. We review compensation annually and evaluate readiness for promotions every quarter. At JPA Health, we are committed to fostering a culture of Diversity, Equity, and Inclusion (DEI). We believe that our strength lies in the diversity of our team, and we strive to create an environment where every individual feels valued, respected, and heard. We are dedicated to promoting equity in all aspects of our work, ensuring that all employees have equal access to opportunities and resources. We are inclusive, welcoming individuals of all races, genders, sexual orientations, religions, national origins, disabilities, and ages. Our commitment to DEI extends beyond our organization, influencing the work we do and the partnerships we build. We believe that by embracing DEI, we can drive innovation, enhance our services, and contribute to a healthier society. We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. If you require an accommodation in order to apply for a position with JPA Health, please contact us for assistance at Recruiting@jpa.com .

About the Team STR’s Intelligence division researches and develops advanced analytics and machine learning-based solutions to solve challenging problems related to national security. Our team consists of passionate and motivated engineers with advanced degrees in engineering, computer science, mathematics, and data science, who are seeking opportunities to use their deep technical knowledge and creativity to tackle some of the hardest problems that our customers face. Our projects span multiple different data modalities and incorporate advanced algorithms, deep learning, and statistical techniques to uncover patterns in social media, structured and unstructured text, time series, geospatial, and imagery data, and must operate under challenging constraints not typically found in the commercial world. The tools and technologies we develop have real world impact and US Government analysts use them to extract and enrich intelligence information around the globe. The Role As a Data Software Engineer, you will leverage your skills in data science, machine learning, and software development to operationalize advanced statistical machine learning algorithms and support production-level systems. You will closely work with other software engineers and researchers to design cutting-edge solutions to challenging problems impacting national security including classification, anomaly detection, forecasting, and much more. This role combines proficiency in programming languages such as Python and developing advanced machine learning solutions against disparate data feeds to craft cutting-edge solutions that address real-world challenges in national security. Positions are available in both Woburn, MA and Arlington, VA. Due to the nature of our work, applicants should expect to primarily work onsite or in the office. What you will do: Explore a variety of data sources to build and integrate machine learning models into software Develop machine learning and deep learning algorithms for large-scale multi-modal problems Work with large data sets and develop software solutions for scalable analysis Collaborate to create and maintain software for data pipelines, algorithms, storage, and access Monitor software deployments, create logging frameworks, and design APIs Build analytic tools that utilize data pipelines to provide actionable insights into customer requests Develop and execute plans to improve software robustness and ensure system performance Who you are: Ability to obtain a Top Secret (TS) clearance, for which U.S citizenship is needed by the U.S government Motivated collaborator looking to work with a large and distributed team 5+ years of experience in one or more high level programming languages, like Python Experience working with large datasets for machine learning applications Experience in navigating and contributing to complex, large code bases Experience with containerization practices and CI/CD workflows BS, MS, or PhD in a related field or equivalent experience Even Better (you should have several of these, but all of them are not required): Active Top Secret (TS) security clearance Experience with probabilistic and statistical methods Experience with mathematical concepts such as linear algebra and optimization Experience with container orchestration systems, such as Kubernetes Experience using databases including SQL and NoSQL databases Experience developing parallel processing and distributed software workflows Experience with dashboard frontends, such as Grafana or Kibana Pay Information Full-Time Salary Range: $134,000 - $184,000 The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate’s experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions. STR is a growing technology company with locations near Boston, MA, Arlington, VA, near Dayton, OH, Melbourne, FL, and Carlsbad, CA. We specialize in advanced research and development for defense, intelligence, and national security in: cyber; next generation sensors, radar, sonar, communications, and electronic warfare; and artificial intelligence algorithms and analytics to make sense of the complexity that is exploding around us. STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members. Our work is challenging, and we go home at night knowing that we pushed the envelope of technology and made the world safer. STR is not just any company. Our people, culture, and attitude along with their unique set of skills, experiences, and perspectives put us on a trajectory to change the world. We can't do it alone, though - we need fellow trailblazers. If you are one, join our team and help to keep our society safe! Visit us at www.str.us for more info. STR is an equal opportunity employer. We are fully dedicated to hiring the most qualified candidate regardless of race, color, religion, sex (including gender identity, sexual orientation and pregnancy), marital status, national origin, age, veteran status, disability, genetic information or any other characteristic protected by federal, state or local laws. If you need a reasonable accommodation for any portion of the employment process, email us at appassist@str.us and provide your contact info. Pursuant to applicable federal law and regulations, positions at STR require employees to obtain national security clearances and satisfy the requirements for compliance with export control and other applicable laws.

We are looking for AI Data Specialists to support the improvement of AI-generated content in Ukrainian . Job Type: Freelance Location: Remote Work Schedule: Part-time - 10+ hours per week. Flexible - work whenever you want. Start Date: Immediately Duration: Until the end of December 2025 (an extension is possible) Rate: 6 USD/hour. Help Shape the Future of AI Are you a student, recent graduate, stay-at-home parent, gig worker, or professional seeking flexible remote work? Are you interested in shaping the development and safety of today’s AI models? What You’ll Do The role involves performing diverse data-related tasks, including: - Data collection, evaluation, and annotation. - Pairwise comparisons. - Counting tasks. - Object tagging and labeling across different content types (audio, video, images, or collected data) What we’re looking for: - Native-level fluency in Ukrainian. - English Proficiency : Fluent or advanced proficiency in English (levels B2–C2). - AI & Data Capabilities (Preferred) : Experience in one or more of the following areas: machine learning tasks, data collection and preprocessing, data evaluation and quality assurance, and data annotation and labeling. What We Offer - 100% remote work - Flexible schedule - Opportunity to earn extra income - Timely payments - The job is ideal for students, part-timers, or stay-at-home parents Please apply using a GMAIL account if you have one. #LI-PR1505 Vendor Type When applying, please select the option that best describes your working status. Are you a Freelancer or Private Individual? A Freelancer is someone who has a business license and may have a VAT number or EIN for tax purposes. A VAT (Value Added Tax) number is a unique identifier assigned to registered businesses in many countries; an EIN (Employer Identification Number) is a similar identifier used in the US. A Private Individual does not have a business license. If you aren’t sure, you are probably a private individual. RWS embraces DEI and promotes equal opportunity, we are an Equal Opportunity Employer and prohibit discrimination and harassment of any kind. RWS is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at RWS are based on business needs, job requirements and individual qualifications, without regard to race, religion, nationality, ethnicity, sex, age, disability, or sexual orientation. RWS will not tolerate discrimination based on any of these characteristics. #LI-PR1505

Banking is being reimagined—and customers expect every interaction to be easy, personal, and instant . We are building a universal banking assistant that millions of U.S. consumers can use to transact across all financial institutions and, over time, autonomously drive their financial goals . Powered by our proprietary BankGPT platform , this assistant is positioned to displace age-old legacy systems within financial institutions and own the end-to-end CX stack , unlocking a $200B opportunity and potentially replacing multiple publicly traded companies . Ultimately, our mission is to drive financial well-being for millions of consumers. With over two-thirds of Americans living paycheck to paycheck, 50% holding less than $500 in savings, and only 17% financially literate, we aim to put financial well-being on autopilot to help solve this problem. About the Role We’re hiring a Staff Engineer – Data Platform to architect, scale, and evolve the data backbone that powers all of Interface.ai’s intelligent systems. You’ll design and lead the development of a modern streaming and storage platform that unifies real-time event ingestion, distributed persistence, and secure multi-tenant access control. This is a hands-on and architecture role where you’ll build foundational systems for analytics, ML training, and personalization pipelines. You’ll define how data moves, transforms, and becomes insight — for both internal teams (data science, AI, product analytics) and external customers seeking actionable intelligence and compliance visibility. You will partner closely with the ML, AI, and Product Engineering teams to ensure the platform serves as a robust, high-throughput, and policy-compliant foundation for our next generation of AI-driven financial experiences. What You’ll Own As the Staff Engineer for Data Platform , you will own the architecture and evolution of the company’s end-to-end data ecosystem — from ingestion to analytics to model training enablement. Your scope includes: Data Lake & Storage Systems: Designing scalable, distributed, and cost-efficient storage architectures for multi-tenant environments. Streaming Infrastructure: Building and optimizing high-throughput real-time data pipelines for telemetry, transactions, and conversational data. Data Modeling & Governance: Creating schemas, metadata systems, and access frameworks to ensure data quality, discoverability, and compliance. Analytics Enablement: Powering self-service analytics, KPI dashboards, and behavioral insights for internal stakeholders and customers. ML Enablement: Providing clean, secure, and well-modeled data for training custom ML models that drive personalization, upsell, and cross-sell. What You’ll Do Architect & Build Data Lake: Design and deploy a multi-tenant, secure data lake that supports structured, semi-structured, and unstructured data across internal and customer domains. Develop Streaming Systems: Build and scale streaming platforms (Kafka, Flink, Spark Streaming, Pulsar, etc.) for ingesting billions of events per day in near real-time. Implement Distributed Storage: Lead efforts to design or extend distributed storage systems (e.g., Iceberg, Delta Lake, Parquet-based stores) with strong RBAC and data versioning. Enable Real-Time Analytics: Build internal APIs and data services for fast, ad-hoc querying and BI tools. Data Governance & Compliance: Define and implement role-based access control, encryption at rest and in transit, and audit logging for regulatory alignment (SOC2, GDPR). Collaborate with ML/AI Teams: Build feature stores, training datasets, and automated pipelines for model training, personalization, and predictive analytics. Optimize Cost & Performance: Continuously refine storage and compute efficiency, partition strategies, and caching layers to ensure cost-effective scalability. Mentor and Lead: Guide senior data and backend engineers, establish engineering standards for data reliability, schema evolution, and observability. What We’re Looking For Required Qualifications 8+ years of experience in Data Infrastructure, having built and scaled data infrastructure, distributed systems, or data platforms. Hands-on expertise and deep understanding of event-driven architecture with prior experience managing large Streaming Systems Mastery and working with tools such as: Kafka , Flink , Spark Streaming , or Pulsar. Proven experience designing or implementing Distributed Storage Systems including architecting data lakehouse using Iceberg , Delta Lake , Hudi , or custom solutions Expertise in architecting secure, multi-tenant & RBAC data systems with strong isolation, access control, and data governance policies. Strong understanding of Data Modeling; hands-on experience with schema design , dimensional modeling , and data warehouse/lakehouse best practices . Proficiency in Python , Scala , or Java , with experience in building high-performance ETL/ELT frameworks. Deep expertise in Cloud & Infrastructure with AWS (S3, Glue, Athena, Redshift, EMR, Kinesis) or GCP/Azure equivalents. Preferred Experience Experience implementing data mesh or domain-oriented data architecture . Knowledge of feature store design for ML use cases. Familiarity with dbt , Airflow , or similar orchestration tools. Prior experience working in FinTech , banking , or high-compliance environments . What Makes This Role Special You’ll define the core data architecture that powers intelligence, analytics, and personalization across millions of users. You’ll work across boundaries — from data streaming and storage to analytics enablement and ML training pipelines. You’ll lead with autonomy: balancing deep technical design, performance optimization, and business impact. Compensation Compensation is expected to be between $210,000 - $270,000. Exact compensation may vary based on skills and location. What We Offer 💡 100% paid health, dental & vision care 💰 401(k) match & financial wellness perks 🌴 Discretionary PTO + paid parental leave 🏡 Remote-first flexibility 🧠 Mental health, wellness & family benefits 🚀 A mission-driven team shaping the future of banking At interface.ai, we are committed to providing an inclusive and welcoming environment for all employees and applicants. We celebrate diversity and believe it is critical to our success as a company. We do not discriminate on the basis of race, color, religion, national origin, age, sex, gender identity, gender expression, sexual orientation, marital status, veteran status, disability status, or any other legally protected status. All employment decisions at Interface.ai are based on business needs, job requirements, and individual qualifications. We strive to create a culture that values and respects each person's unique perspective and contributions. We encourage all qualified individuals to apply for employment opportunities with Interface.ai and are committed to ensuring that our hiring process is inclusive and accessible.