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GoodAtNumbers is building an always-on decision intelligence platform that is trying to replace what a data scientist, data analyst and a business analyst does. We are hiring a strong software engineering intern to help turn that architecture into polished, reliable product experiences. We are hiring a Software Engineer Intern (Product & Backend) for a paid 12-week summer internship from May through July 2026. This is a remote role based in the United States and is expected to be 40 hours per week. Compensation for this internship is $23/hour. This role is best for someone who enjoys building product features end-to-end, writing clean backend logic, improving code quality, and shipping systems that users can rely on. You will help build and refine core workflows across the platform while working closely with the rest of the engineering team. What you’ll work on • Build product features across areas such as workspace setup, dataset and document workflows, semantic model workflows, metrics, investigations, evidence views, decision workflows, and operator-facing product surfaces, • Design and implement backend services, APIs, data models, and application logic, • Improve code quality through testing, refactoring, documentation, and better engineering practices, • Help connect deterministic tools and backend systems to user-facing workflows in a reliable and maintainable way, • Improve performance, usability, and overall engineering quality in the core product, • Collaborate across product, platform, and ML workstreams to ship production-ready features What success looks like by the end of the internship • Meaningful product features are shipped to a high standard, • Core backend code is cleaner, better tested, and easier to extend, • The product becomes more polished, more reliable, and more ready for production use What we’re looking for • 3+ years of relevant software development experience preferred through internships, startups, research labs, open-source work, or production projects, • Strong software engineering fundamentals, problem-solving ability, and ownership, • Experience with backend development, APIs, and relational databases preferred, • Experience with modern frontend frameworks and/or full-stack application development preferred, • Experience with testing, code review, debugging, and maintainable application design preferred, • Experience with Python and/or JavaScript/TypeScript preferred, • Comfort working in ambiguous product environments and translating product ideas into shipped software, • Strong communication and execution Nice to have • Experience with React, Next.js, FastAPI, Django, Node.js, or similar frameworks, • Experience with Postgres, workflow systems, dashboards, or analytics/data products, • Experience with auth, permissions, auditability, or evidence-heavy enterprise workflows, • Experience building AI-enabled product features or working alongside ML systems Work authorization Applicants must be authorized to work in the United States for the full internship period and must be based in the U.S. during the internship. We are not able to provide employment visa sponsorship for this internship. We welcome applicants from all backgrounds and evaluate candidates based on skills, execution, communication, and fit for the role.

Title: Data Scientist Desired Location: US, REMOTE The world of payment processing is rapidly evolving, and businesses are looking for loyal and strategic partners, to help them grow. Meet Nuvei, Nuvei is the global fintech building the infrastructure for every payment, everywhere. Its modular, flexible, and scalable technology enables leading companies to accept next-generation payments, offer all payout options, and benefit from card issuing, banking, risk, and fraud management services. Connecting businesses to their customers in more than 200 markets, with local acquiring in 52 markets, 150 currencies, and over 720 alternative payment methods, Nuvei provides the technology and insights for customers and partners to succeed locally and globally through one integration. At Nuvei, we live our core values, and we thrive on solving complex problems. We’re dedicated to continually improving our product and providing relentless customer service. We are always looking for exceptional talent to join us on the journey! Your Mission We are looking for a Risk & Payments Intelligence Analyst to join our Risk & Fraud team. In this role, you will analyze data related to ACH transactions, ML risk scores, risk rules, decisioning systems, and vendor data to understand performance, surface emerging trends, and inform ongoing optimization of payment program decisions. This role focuses on portfolio and system level analysis rather than case-by-case transaction review or manual queues, and requires strong analytical judgment in ambiguous, data-constrained environments, including the evaluation of new data, analytical methods, and AI-assisted approaches as our risk capabilities evolve. Key Responsibilities · Analyze end-to-end ACH payment decisioning performance, including ML risk scores and risk rules, across approvals and losses. · Detect and analyze emerging trends in customer behavior, payment outcomes, and risk signals. · Evaluate how changes in strategies, data, or rules impact downstream decisioning and outcomes over time. · Independently define analytical questions, assemble datasets from multiple sources, and iterate toward insights without predefined reporting templates. · Use Python to perform exploratory data analysis, feature evaluation, cohort analysis, and experimentation across large ACH and risk datasets. · Develop repeatable analytical workflows and lightweight tooling in Python to accelerate insight generation and reduce manual analysis overhead. · Perform ad hoc analyses to evaluate the value and usefulness of new or existing data signals for risk decisioning. · Design analyses and reporting that support ongoing risk reviews, strategy discussions, and portfolio-level monitoring. · Explore and apply established and emerging analysis techniques to accelerate insight generation, trend detection, and decision support within regulated risk and payment datasets. · Partner with Risk, Product, and Relationship Management teams to inform strategy refinement and prioritization. · Communicate trends, findings, and recommendations clearly to internal stakeholders and, when applicable, external clients. · Work with large, imperfect, and regulated datasets to form actionable conclusions despite data gaps, latency, or attribution challenges. 3+ years of experience in payments risk, fraud analytics, or decisioning performance analysis within fintech, payments, or e-commerce. · Experience working with ACH or bank transfer payment data strongly preferred. · Strong SQL skills and experience working with large transactional datasets. · Strong Python skills for data analysis (e.g., pandas, notebooks), experimentation, and analytical automation. · Experience managing and analyzing data related to risk-based decision systems, or similar decisioning frameworks. · Ability to translate complex analytical findings into clear, actionable recommendations for technical and non-technical audiences. · Comfort operating in ambiguous environments with incomplete, delayed, or imperfect data. · Experience using AI-assisted tools or models for data analysis, pattern discovery, or insight generation is a plus. Working Language • English (written and spoken) is the language used most of the time, as work colleagues, clients, and strategic suppliers are geographically dispersed. Our recruitment process may use automated tools, including AI, to support application management and candidate shortlisting.

IonQ is developing the world's most powerful full-stack quantum computer based on trapped-ion technology. We are pushing past the limits of classical physics and current supercomputing technology to unlock a new era of computing. Quantum computing has the potential to impact every area of human society for the better. IonQ’s computers will soon redefine industries like medicine, materials science, finance, artificial intelligence, machine learning, cryptography, and more. IonQ is at the forefront of this technological revolution. We are looking for a Senior Staff Scientist – Quantum Financial Services. As a Senior Staff Scientist – Quantum Financial Services, you’ll be part of a cross-functional team whose mission is to lead IonQ on its journey to build the world’s best quantum computers to solve the world’s most complex problems. Our ideal candidate would be a thought leader of transformative technologies, subject matter expert in quantitative finance, and expert developer of quantum algorithms that are poised to disrupt the finance industry. You will span wide and dig deep to identify, champion and deliver hybrid applications where IonQ trapped-ion quantum computers can unlock new value. As a role model for a team of PhD application scientists, you will lead by example to develop novel algorithms, core IP and end-to-end workflows that can be incorporated by finance organizations into their workflows. You will also work closely with product, marketing, sales, operations and external customers/partners to brainstorm new ideas, define multi-year roadmaps and represent IonQ at high-visibility conferences. Often in a single day. Responsibilities: • Grow IonQ’s impact and reach across the Financial Services sector by fostering relationships with clients and developing hybrid quantum applications that will deliver commercial impact., • Be an intrapreneur within the company to shape, champion and deliver on a multi-year Quantum Financial Services roadmap., • Lead by example the process of developing state-of-the-art hybrid quantum applications optimized for CPU, GPU and IonQ trapped-ion QPU., • Collaborate across compiler, system, cloud and partner teams to integrate quantum algorithms within larger hybrid software platforms and workflows., • Be a go-to technical leader and decision maker for a team of talented PhD scientists, • Grow the team capacity both through hiring and developing capabilities from within, • While this role is remote-friendly and highly flexible, candidates must be able to travel to global customer sites and attend virtual meetings during non-core hours. You’d be a good fit with: • PhD in Computer Science, Math, Physics, Electrical Engineering or similar level of professional experience in a relevant field, • 13+ years of professional experience or an equivalent combination of education and experience, • 7 years of industry experience developing novel algorithms/applications/software for the financial sector, with increasing impact and degrees of responsibility, • Technical or people leadership experience, including hiring and growing from within, • Track record of scaling up software from research-grade artifacts (Matlab, Julia, R, Jupyter Notebook) to beta-customer to full release. Experience integrating research-grade artifacts into pre-existing code bases, • Active portfolio of high-impact scientific papers in quantum computing, AI or ML with a focus on finance applications You’d be a great fit with: • 10+ years of industry experience developing novel algorithms/applications/software for the financial sector, with increasing impact and degrees of responsibility, • Hands-on experience developing and optimizing quantum algorithms using quantum SDKs such as Qiskit (preferred), CUDA-Q, Cirq, Q#, Penny Lane and Torch Quantum., • Success as an originator and team leader to design, develop and deliver solutions that deliver value to the finance industry, • Professional experience as a trader, quant, FP&A, management consultant, etc., • Professional experience developing quantum algorithms for finance; either on an in-house quantum team within a financial organization, or else working at a quantum vendor serving the financial sector Location: This position can work onsite or hybrid from one of our offices (College Park, MD, Bothell, WA) or fully remote in the US. Travel: Up to 10% with a priority to visit customers and partners Job ID: 1060 The approximate base salary range for this position is $162,920 - $213,304. The total compensation package includes base, bonus, and equity. Compensation will vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. Posted base salary figures are subject to change as new market data becomes available. Beyond base salary, total compensation includes a variable bonus and equity component and a range of benefit options found on our career site at _. Details of participation in these benefit plans will be provided when a candidate receives an offer of employment. Our US benefits include comprehensive medical, dental, and vision plans, matching 401K, unlimited PTO and paid holidays, parental/adoption leave, legal insurance, a home internet stipend, and pet insurance! IonQ's HQ is located in College Park, Maryland, a quick 15-minute metro from Washington DC. We are actively building out our recently opened manufacturing and production facility in Bothell, WA (near Seattle). Depending on the position, you may be required to be near one of our offices in College Park, Seattle, or Toronto. However, IonQ will expand into additional domestic and international geographies, so don’t let this stop you from applying! At IonQ, we believe in fair treatment, access, opportunity, and advancement for all while striving to identify and eliminate barriers. We empower employees to thrive by fostering a culture of autonomy, productivity, and respect. We are dedicated to creating an environment where individuals can feel welcomed, respected, supported, and valued. We are committed to equity and justice. We welcome different voices and viewpoints and do not discriminate on the basis of race, religion, ancestry, physical and/or mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, transgender status, age, sexual orientation, military or veteran status, or any other basis protected by law. We are proud to be an Equal Employment Opportunity employer. The position you are applying for may require access to technology that is subject to U.S. export control and government contract restrictions. Employment with IonQ is contingent on either verifying U.S.-person status for export controls and government contracts work and/or obtaining any necessary license/confirming the availability of a license exception under U.S. export controls. Accordingly, we will have some additional questions regarding your immigration status that will be used for export control and compliance purposes, and the answers will be reviewed by compliance personnel to ensure compliance with federal law. If you are interested in being a part of our team and mission, we encourage you to apply!

Alpha is a product studio focused on the intersection of AI and consumer social – backed by a16z and many of the top investors in the world. Our goal is to create social products that we use, that our friends use, and that have the potential to reach billions of people. Clubhouse was our first app, and we’ve been quietly growing that while building our next set of products. We have years of runway, millions of users, and find ourselves at a very interesting time, where AI is making entirely new things possible with voice. If you are a talented builder who’s interested in joining us, we’d love to talk. You'll be the senior technical anchor for our data science function, shaping how we do data science at Alpha, driving cross-functional data strategy, and helping the team do its best work. You’ll set direction for our experimentation practice and bring analytical clarity to the biggest strategic bets we’re making, across all product areas. You’ll own data strategy across the company. You’ll set direction for our experimentation practice and bring analytical clarity to the biggest strategic bets we’re making, across all product areas. We're a small team (1 data scientist + a part-time data engineer) at a company with millions of users. Your work will be high-leverage and visible. You’ll provide mentorship and thought partnership to our senior data scientists, and operate with the autonomy that comes with setting direction, not just executing within it. We are a remote friendly-company — with a strong commitment to ensuring people can do great work here and thrive without having to live near an office. This role is open to candidates across the U.S. You're technically deep. You have 7+ years of experience as a data scientist. You're highly fluent in SQL and Python — not just for analysis, but for influencing engineering decisions, defining data infrastructure standards, and being a credible technical voice in system design conversations. You're comfortable operating across an end-to-end data pipeline: you can triage pipeline issues, spec data engineering work, and lead a data engineer through complex problems when needed. You've designed and analyzed experiments, know the difference between a well-run test and a noisy one, and have deep expertise in predictive modeling and ML techniques. You think like a product partner, not a service org. You don't wait for requests – you proactively identify what questions matter, size opportunities, and help product managers figure out where to place bets. You have a healthy skepticism about data and know when something doesn't add up and dive deeper towards the right solution. You communicate with clarity. You can take a messy analysis and turn it into a clear recommendation. You write well. You build dashboards and visualizations that people actually use to make decisions. You thrive with autonomy. You will set the agenda for what the team works on and helps shape which bets the company makes. You thrive in turning ambiguity into a roadmap. You ship. You have a bias toward getting things done. You'd rather have a good-enough answer today than a perfect one in two weeks. You are a team player. You have a low-ego, put the team’s success first, and believe that fostering a collaborative and diverse environment is not only integral to the team's well-being but also crucial for driving innovation and achieving long-term success. Own our experimentation framework and standards across squads. Define how we design, run, and evaluate experiments, setting the bar for what a well-run test looks like, driving consistency across the org, and directly owning the highest-stakes analyses. Drive strategic opportunity sizing across the company. You’ll proactively identify where we should place bets and make data proactive product partners. You’ll synthesize signals across product areas and help leadership prioritize before roadmaps are locked. Own company-wide, top line metric strategy and drive the data changes needed to ensure high data coverage and accurate metric forecasting for our quarterly and yearly goals. Lead our predictive modeling and ML work. You’ll own the models that proactively shape product direction and mentor data scientists in developing these skills. You’ll grow, teach, and improve rapidly. At Clubhouse you’ll be working with an incredible team, who love to learn from and teach each other. You’ll find yourself stretching to new areas, immersed in feedback, and growing your skills on a daily basis. You’ll create something meaningful. Social products allow people to connect in ways that were never before possible. When the telephone was invented, it suddenly allowed people to speak with others across the world. Thanks to FaceTime, grandparents everywhere can now watch their grandchildren grow up. At Clubhouse, you’ll be figuring out something entirely new for the world—a positive product that brings people’s voices together to help everyone have a life filled with great friendships. Our company is proud to be an equal opportunity employer. We do not discriminate in hiring or make any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristics. We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at _.

Role: ML/AI Engineers (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Summary: Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our clients. About Adidev Technologies Inc. Adidev Technologies,(_) is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company – we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation. Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience. Global Presence: Our diverse employee workforce spans four continents. Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA. How We'll Guide You Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients. Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success. Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients. Career Growth: We facilitate industry experience to propel your technical journey forward. Key Responsibilities: · Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions. · Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring. · Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. · Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences. · Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement. · Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency. · Conduct exploratory data analysis to extract valuable insights and influence strategic decisions. · Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks. · Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices. What You’ll Bring Experience architecting and developing AI or machine learning solutions on platforms such as AWS, Databricks, Azure, Google Cloud and OpenAI. Software engineering and/or Data Engineering background, especially in one of the major clouds. Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks Experience putting ML/AI into production, and ability to talk through best practices and pitfalls. How to Apply: Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise. Perks and Beyond! Competitive salary range: Based on experience and market value Pack your bags! Paid relocation is on us. Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to Embark? we invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth. Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: _ The Mapping team at Waabi develops the foundational spatial intelligence of our autonomous fleet. As a Senior or Staff Software Engineer on our Mapping team, you will act as a versatile, foundational builder for our highly scalable, AI-driven mapping infrastructure. We are looking for a strong software generalist who thrives on variety, can easily pivot across different projects, and tackles complex distributed systems problems from data ingestion to real-time serving. You will collaborate and exchange ideas with our team, which includes world-renowned engineers and scientists specializing in robotics, deep learning, computer vision, and autonomous driving. We value original, high-impact ideas and rigorous experimental validation. You will... • Act as a versatile engineering powerhouse, quickly ramping up on new domains and fluidly transitioning between backend pipelines, API design, and vehicle-side serving., • Be part of a multidisciplinary team of Engineers and Research Scientists using AI-first approach to create high-definition (HD) maps at scale., • Architect and build the engineering foundations of our long-term mapping infrastructure., • Build robust, scalable pipelines to automatically create, validate, maintain, and visualize massive amounts of data., • Design and develop comprehensive metrics, observability, and anomaly detection across various systems., • Partner directly with downstream customers (e.g. Perception, Motion Planning, Simulation) to capture complex requirements and implement intuitive APIs., • Engineer real-time, high-availability, and low-latency systems for fleet of self-driving vehicles. Qualifications: • BS, MS, or PhD in Computer Scientist, Electrical Engineering, or related field, with a minimum for 5 years of industry experience., • Strong computer science fundamentals with an aptitude and willingness to quickly learn domain-specific concepts like 3D geometry and spatial data structures., • Prove ability to work across various programming languages, seamlessly bridging high-level Python development with robust systems-level engineering in C++ or Rust., • Solid experience in designing, developing, and deploying production-quality, fault-tolerant software at scale (moving well beyond prototypes/proofs of concept)., • Hands-on experience building distributed systems on modern cloud platforms. Bonus/nice to have: • A true generalist mindset: you enjoy wearing multiple hats, diving into unfamiliar codebases, and picking up new technologies as the mission dictates., • Prior experience with autonomous vehicles, HD mapping, or robotics., • Familiarity with 3D geometry, geospatial systems, spatial databases, and tooling such as QGIS, GDAL, or PostGIS., • Familiarity with Machine Learning pipelines or integrating AI models into production engineering systems., • Experience with large-scale data processing systems and orchestration framework (e.g., Apache Spark, Airflow, Ray, Kafka)., • Open-minded and collaborative team player with strong willingness to help others. The US yearly salary range for this role is: $141,000 - $242,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Role: ML/AI Engineers (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Summary: Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our clients. About Adidev Technologies Inc. Adidev Technologies,(_) is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company – we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation. Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience. Global Presence: Our diverse employee workforce spans four continents. Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA. How We'll Guide You Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients. Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success. Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients. Career Growth: We facilitate industry experience to propel your technical journey forward. Key Responsibilities: · Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions. · Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring. · Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. · Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences. · Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement. · Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency. · Conduct exploratory data analysis to extract valuable insights and influence strategic decisions. · Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks. · Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices. What You’ll Bring Experience architecting and developing AI or machine learning solutions on platforms such as AWS, Databricks, Azure, Google Cloud and OpenAI. Software engineering and/or Data Engineering background, especially in one of the major clouds. Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks Experience putting ML/AI into production, and ability to talk through best practices and pitfalls. How to Apply: Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise. Perks and Beyond! Competitive salary range: Based on experience and market value Pack your bags! Paid relocation is on us. Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to Embark? we invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth. Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough

Reddit is a community of communities. It’s built on shared interests, passion, and trust and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 101M+ daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit _. Location: US remote-friendly or any office location - SF, LA, CHI, NY The Data Science Team at Reddit is growing and we are looking for experienced Data Scientists to partner with our cross-functional partners (Product, Engineering, Designer, Marketing, Business Development etc.) to help us build and improve the systems that continuously drive our user and revenue growth. As a Senior Data Scientist on the team, you will have the opportunity to play a significant role in driving the success of key product areas at Reddit (Consumer, Ads, Safety etc.). You will lead and contribute to defining the product strategy through measurement and metrics design, experimentation and causal analyses, supporting product decisions via deep data analyses, and research. This person will be an industry technical leader with a solid technical background, strong business acumen, and excellent cross-functional stakeholders management skills. You will go through a general Data Scientists hiring process and get matched to the product area that best fits your background and interest. Responsibilities: • Develop action-oriented insights to drive the product strategy through observational causal analysis and experiment meta-analysis, and clearly communicate results to stakeholders up to the C-suite to take action based on the recommendations, • Uplevel experimentation practices on the team through guiding design, execution, and deep dive analyses to maximize learnings from A/B tests, • Create new ETLs, tables, dashboards, and other self-serve tools to enable other data scientists and cross-functional partners to find and interact with data seamlessly, • Design, evaluate, and/or measure team-level KPIs to enable quarterly goal setting and demonstrate team impact, • Regularly engage with stakeholders to gather feedback and share progress on work at all stages to ensure alignment between DS and other teams on business goals and outcomes, • Mentor more junior data scientists and business partners in data science best practices and methods to increase data literacy and improve decision making Required Qualifications: • Relevant experiences in quantitative or data science roles, preferably for a consumer-facing service/app, • Ph.D., M.S. or Bachelors degree in Statistics, Machine Learning, Economics, Computer Science, or other quantitative fields (If M.S. or Bachelors degree, a minimum of 5+ years of industry data science experience required; If PhD degree, a minimum of 3+ years of industry data science experience required), • Expertise in querying relational databases (SQL) and programming languages (e.g., R / Python), • Deep understanding of online experimentation (A/B testing), causal inference, and statistical techniques, • Comfortable in innovative and fast-paced environments, and a bias toward action, • Strong technical communication / data storytelling skills and demonstrated ability to discuss complex topics with technical and non-technical audiences alike, • Able to tackle ambiguous and undefined problems by creating an action plan, getting feedback, and iterating Benefits: • Comprehensive Health benefits, • 401k Matching, • Workspace benefits for your home office, • Personal & Professional development funds, • Family Planning Support, • Flexible Vacation (please use them!) & Reddit Global Days Off, • 4+ months paid Parental Leave, • Paid Volunteer time off #LI-Remote #LI-NH1 Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit _. To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base pay range for this position is: $190,800 - $267,100 USD In select roles and locations, the interviews will be recorded, and transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our _. Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Arcadia is the global utility data and energy solutions platform. With our leading data platform, AI-powered analytics, industry expertise, and expansive partner network, we deliver solutions for every stage of the enterprise energy management lifecycle across carbon, cost, and reliability. Arcadia’s Enterprise Energy Management Solutions are built on a foundational data platform that has been developed for over a decade and scaled across millions of customer facilities. We transform fragmented data and siloed processes into coordinated, enterprise-wide action with comprehensive solutions including: • Utility Bill Management: Lower utility costs and streamline bill management with automated bill payment, proactive error identification, optimized tariff structures, and budgeting & forecasting., • Energy Procurement Advisory: Source clean energy through a comprehensive evaluation of supply options - including traditional retail options and onsite and offsite resources — to effectively manage risks, reduce costs, and achieve corporate sustainability goals., • Sustainability Reporting: Achieve compliance goals and track carbon emissions with standardized energy data and seamless integration with leading sustainability platforms. Tackling an enterprise client’s most critical energy challenges requires out-of-the-box thinking & diverse perspectives. We’re building a team of individuals from different backgrounds, industries, & educational experiences. If you share our passion for ushering in the era of the clean, cost-effective electrons, we look forward to learning what you would uniquely bring to Arcadia! What we’re looking for: We are seeking an innovative and results-oriented Lead Data Scientist with a strong understanding of machine learning, generative AI, and data-driven product development to join our dynamic AI Strategy and Development Team. This pivotal role focuses on architecting and implementing cutting-edge AI solutions for the energy sector, working directly with leadership to shape our technical vision and product roadmap. This role will initially report to SVP, R&D. Arcadia is remote-first and employees have access to co-working spaces. We are open to candidates based in Washington DC or New York. #LI-REMOTE • Collaborate directly with executive leadership to shape the technical AI strategy and product development at Arcadia, • Efficiently develop notebook-based and agentic solutions for internal and external customers, utilizing AI models, and Arcadia’s APIs and data, • Lead the development and integration of Gen-AI models and agents into Arcadia’s products and processes, • Design and implement Machine Learning algorithms for critical energy applications, including forecasting, anomaly detection, and energy optimization, • Partner with data teams, Arcadia’s subject matter experts, and customer teams to seek, understand, validate, interpret, and correctly use data, models, and outputs., • Work with engineering to integrate models into the Arcadia Platform, contributing to design documents, code commits, and AI product documentation, • Contribute code to enhance our platform’s AI and data capabilities, • Collaborate effectively with remote team members, • Gen AI experience - both in the development of agentic / LLM-based product features and the use of Gen AI-based products in day-to-day model development, • 2-5 years of experience developing Machine Learning/AI-based systems in an iiterative or dynamic/agile development environment. Experience in the energy sector is preferred., • A minimum of 10-12 years of technical experience in data and/or engineering, • Master’s or Doctoral degree in Computer Science, Electrical Engineering, Statistics, or equivalent fields., • Practical experience with Applied Machine Learning techniques, including regression, classification, and supervised/unsupervised learning, • Fluency with Python or R, SQL, and Java or JavaScript, • Experience with software engineering for real-world applications (ideally through professional experience), • Strong foundation in mathematics including, linear algebra, calculus, probability, and statistics, • Experience with scalable machine learning (MapReduce, streaming)., • Experience with time series and dynamical systems., • Ability to manage projects and work efficiently independently and collaboratively, • Ability to quickly formulate and document assumptions to advance projects, • Strong commitment to continuous learning and professional growth, solution-oriented, and committed to making a positive impact, • Ability to communicate complex technical concepts to both technical and non-technical stakeholders, • Prepared to share project portfolio (GitHub, papers, etc.). Benefits: • "Remote first" culture - work anywhere in the US as long as you have a reliable internet connection, • Flexible PTO - no accrued hours and no limit on the number of vacation days exempt employees can take each year, • 12 annual holidays, • 10 days sick leave, • Up to 4 weeks bereavement leave, • 2 volunteer days off, • 2 professional development days off, • 12 weeks paid parental leave for all parents, • 75-95% employer cost coverage for medical, dental, and vision benefits for employees and dependents Eliminating carbon footprints, eliminating carbon copies. Here at Arcadia, we cultivate diversity, celebrate individuality, and believe unique perspectives are key to our collective success in creating a clean energy future. Arcadia is committed to equal employment opportunities regardless of race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, protected veteran status, or any status protected by applicable federal, state, or local law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation by emailing careers@arcadia.com prior to completing your application.. Target Base Range for this role will be $146,250 to $262,000. There will also be a competitive benefits and equity component to the package. The exact compensation at which this job is filled will be determined by the skills, experience, and location of the qualified candidate. Please note that we are unable to offer visa sponsorship for this position at this time. Automated Screening Technology: To ensure a fair and timely review of the high volume of applications we receive, Arcadia may utilize AI-assisted technologies to help our team identify candidates who best meet the qualification criteria for this role (based on skills, experience, and education). Please Note: Automated tools provide recommendations based on your resume content and application questions. While we may use automated screening for basic eligibility (e.g., visa status, location), employment decisions regarding qualifications are not made solely by AI without human oversight. Data Privacy & California Residents: You voluntarily provide personal information (such as your resume, contact details, and assessment responses) when submitting an application. We may use this to evaluate your candidacy and derive inferences from this data to match your profile with open roles. For California Residents: This collection is consistent with the CCPA. You have the right to request access to or deletion of your data by contacting careers@arcadia.com *Visa Sponsorship • Select R&D & Data roles: We are proud to offer visa sponsorship opportunities for qualified candidates interested in joining our team, • Other roles: Please note that we are unable to offer visa sponsorship for this position at this time Thank you

The Constructive Dialogue Institute (CDI) is a non-partisan, non-profit dedicated to equipping the next generation of Americans with the skills to communicate and collaborate across lines of difference. We work with U.S. colleges and universities by providing co-curricular programming for students, professional development for faculty and staff, and strategic guidance to leadership. Our goal is to foster constructive dialogue at every level of the institution and to create the conditions for lasting organizational change. CDI was co-founded by psychologist Jonathan Haidt, the bestselling author of The Righteous Mind and The Anxious Generation. CDI is looking for a Senior Data Scientist to own the data foundations that power our analytics, reporting, and research workflows. This is a high-leverage role for someone who wants to do meaningful, systems-level work — building the infrastructure, pipelines, and reporting tools that CDI's team and partners rely on every day. This is not primarily a machine learning, product analytics, or pure research-design role. It sits at the intersection of data infrastructure, reporting systems, and applied evaluation. The right person is a strong hands-on practitioner who takes pride in clean, reproducible, reliable work — and who is excited to grow into new territory alongside the organization. Two major near-term priorities will shape this role from day one: rebuilding and modernizing CDI's analytics and reporting ecosystem, and co-leading evaluation work for our AI dialogue coach. If you're energized by building things that last, working across research, product, and implementation teams, and doing data work that genuinely connects to mission, this role is for you! Own CDI’s research and analytics data infrastructure, including core data models, schemas, documentation, data quality checks, and analysis-ready datasets. Build and maintain data pipelines using reproducible ETL/ELT practices, producing standardized, analysis-ready datasets from key sources. Lead the rebuild and modernization of CDI’s analytics and reporting layer as part of a platform and data transition. Design, build, and maintain dashboards, recurring reporting, and self-serve tools for both internal teams and partner-facing deliverables. Establish and steward trusted metric definitions, documentation, and governance practices across reporting and research workflows. Co-lead the data and evaluation work for our AI dialogue coach, including building the measurement, reporting, and analysis workflows needed to assess learner experience, safety and appropriateness, reliability, and outcomes. Support quantitative data preparation, analysis, and reproducible code workflows for efficacy and impact studies. Partner cross-functionally with colleagues on the Research & Evaluation team, as well as those from Implementation, Operations, and Product/Technical teams. 6+ years of relevant professional experience in data science, analytics engineering, data engineering, or a similarly hybrid role. Strong hands-on experience with SQL, Python, and R. Experience building and maintaining data pipelines and reproducible workflows that other people rely on. Experience working in cloud-based data environments, including AWS. Experience designing and maintaining dashboards, recurring reporting, and BI tools for nontechnical users. Experience using Git and documentation/testing practices to make data work maintainable and reproducible. Strong judgment about data quality, metric definition, and governance. Prior experience using AI tools in data science workstreams Comfort working with messy, ambiguous data problems and translating them into clear deliverables. Ability to develop practical measurement approaches for new or evolving features, tools, or interventions. Strong written and verbal communication skills, especially with nontechnical internal collaborators. Experience working cross-functionally with stakeholders from multiple teams. We also value (but do not require) the following: Advanced degree in data science, statistics, social science, computer science, or a related field; familiarity with survey data and/or higher education data is a plus. Experience supporting impact, efficacy, or evaluation work through data preparation and analysis. Experience in a nonprofit, EdTech, or mission-driven setting; familiarity with bridgebuilding, dialogue, or civic learning is a bonus. Compensation — $135,000-$145,000 A Mission-Driven Culture — we practice what we preach, so our work culture is characterized by intellectual humility, continuous improvement, and open-mindedness Remote-First — CDI was founded as a remote-first organization, and we work hard to maintain a strong team culture across vast distances Unlimited PTO — as well as 13 company holidays Remote Work Support — up to $500 reimbursed for home office equipment (like desks, chairs, or webcams) and up to $50/month reimbursed for home internet or cell phone expenses Other Benefits — employer-supported health, vision and dental plans, subsidized parental leave, 3% 401k match, short- and long-term disability insurance, life and AD&D insurance, $1,000 annual professional development budget Reports to: Senior Director of Research and Evaluation Schedule: Full-time, flexible within U.S. time zones Target start date: ASAP Location: Remote, must be based in the U.S. Your application has been successfully submitted! _ We appreciate your interest in this position. Unfortunately, you have already applied for this job.

_ is a consulting firm that is trusted by the world’s leading organizations and specializes in business transformation and technology services. We are committed to making an impact for our customers and leveraging technology to unlock human potential. We help accelerate our customers' progress toward meaningful outcomes by bringing together cross-industry expertise, proven processes, and transformative technology to activate shared potential. Our diverse set of experts spans_ with international reach via our partnership with Nextcontinent. We're united by our desire to help our customers succeed, wherever they do business. Point B has been consistently recognized as one of the best places to work by Fortune® Magazine, Great Place to Work, Consulting Magazine, BuiltIn, and many others. Our Data and Analytics practice helps our customers across their journey to become insights-driven organizations. Insight-driven organizations use data to drive measurable business value, creating opportunities for growth, profitability and operational excellence. WHAT YOU’LL GET TO DO: Lead our customers through transformational change by driving the design and execution of data and analytics strategies Use data and analytics to work collaboratively with customer leaders to understand business challenges and the competitive market landscape to design the desired future state Contribute to the direction of our Data and Analytics Consulting practice through exceptional customer service delivery and support of business development efforts Work with teams of customer personnel and Point B consultants to plan and deliver on data and analytics initiatives Grow as a leader working alongside senior Point B consultants who provide mentorship and support Exercise your entrepreneurial spirit and contribute to the firm’s growth as an employee-owner WHAT WE OFFER: The ability to chart your career path based on expertise and passions An environment that encourages you to identify new opportunities and supports you in reaching your goals The chance to have a balanced lifestyle by working with local or national clients in a flexible consulting model The opportunity to be part of building a new practice area within Point B The support of a well-established consulting firm and access to a rich network An environment that encourages you to identify new opportunities and provides the support to make it happen The opportunity to further enable fun and collaborative culture with teams that are as passionate about their communities as they are about their clients A comprehensive, flexible Total Rewards program that supports and recognizes each individual’s unique needs and contributions to the firm WHAT WE EXPECT YOU’VE ALREADY DONE: 8+ years leading or participating in data and analytics projects, in a quantitative, data driven or highly analytical business environment Solved complex business problems by converting raw data into meaningful and actionable business ideas Developed and implemented data and analytics solutions Proven proficiency in quantitative analysis, visualization, and modeling using statistical packages for analyzing large datasets (Advanced in Excel, Tableau, SPSS, SAS, QlikView or PowerBI, etc.) Demonstrated the ability to import, clean, transform, and model data with the purpose of translating complex information into meaningful clear conclusions for decision making purposes (preferred experience with SQL, R, Python, etc.) Demonstrated the ability to work directly with customers to lead high priority initiatives and act as a trusted advisor Earned BA or BS with preference for quantitative undergraduate degree (e.g. BS in Mathematics, Economics, Computer Science, Information Management or Statistics) Available to travel up to 50% PREFERRED QUALIFICATIONS: Data warehouse and data platform design and technical implementation leadership Cloud data platforms, Azure (Microsoft Fabric and Synapse Analytics), Databricks, Snowflake, and the data platform ecosystem Power BI at an advanced level, data modeling (especially Power Query and Data Access Expressions - DAX) Experience designing, building, and deploying large scale solutions within the Power BI Premium service D&A experience in specific business functions (Finance, Sales and Marketing, Operations and Supply Chain) Experience with key data sources like Microsoft Dynamics 365, Oracle, SAP, Salesforce, and Adobe Ideally industry-specific systems experience. Electronic Medical Records (EMR) systems such as Epic, and Ecommerce and Point-of-Sale (POS) systems like Hybris and Aptos Technical certifications on the Microsoft platform (Azure Solution Architect, Azure Data Engineer, Azure Data Scientist, Azure Fabric Analytics Engineer) Certified Power BI Data Analyst THE KIND OF PEOPLE WE LOOK FOR: Versatile consultants who are passionate about data and analytics and thrive on variety and challenge Innate problem solvers who want to grow in a flexible, collaborative culture Comfortable transitioning between strategic and execution responsibilities to maximize customer value Confident decision makers with a proactive mindset Engaging leaders who make a positive impact on their firm, customers, and communities Those who have a growth mindset regarding training, practice, and evolving their skills Versatile people who thrive on variety and challenge Successful in ambiguous environments Desire to and ability to learn Passion for Point B’s Mission, Vision, Values & Culture Gets it done brand and attitude Ability to work from home Ability to work non-standard work hours when necessary. COMPENSATION AND BENEFITS: The estimated salary range for this role is $105,000 - $150,000 USD per year. This salary range is provided as required by local and state law as applicable. Individual salaries vary on a number of factors including but not limited to geography, skills, education, experience and unique qualifications where applicable. Bonuses are awarded at Point B’s discretion and are based upon individual contributions and overall firm performance. \n \n INTRIGUED TO LEARN MORE? When you apply for this role, your information will be personally reviewed by our talent acquisition team (not by a robot). You can expect to hear back from us with feedback if we think there could be a fit and what next steps look like. WHAT MAKES POINT B DIFFERENT? We put our passion for change to work, using our purpose and values as our north start. Our teams help organizations solve their greatest challenges and created an inclusive culture that attracts and retains the world’s best talent. Be part of a collaborative culture where we build lasting relationships with each other, our customers, and our communities. _ – Point B rewards high performance with a total rewards approach that includes competitive base pay, benefits, and short-and long-term incentives — as well as flexibility, leadership development opportunities, and a culture designed to help our diverse team of individuals flourish. Employee Ownership – We give employees a voice in directing their careers and the growth of our company. Our Employee Stock Ownership Plan (ESOP) is a non-contributory retirement vehicle that grows over time from annual allocations (based on individual compensation) and the value of our company. _ – We are proud to be named a Best Workplace in the US by Fortune magazine, Best Workplaces for Millennials, and Best Workplaces for Women in addition to other awards regarding our workplace inclusivity. Point B is an equal-opportunity employer committed to a diverse workforce. We provide equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. You can read more about our commitment to diversity on our _. Point B is committed to providing equal opportunities for persons with disabilities or religious observances, which includes providing reasonable accommodation for in any individuals with disabilities or for religious purposes. Applicants with disabilities may contact our Accommodations team at _ or 206-517-5000 to request and arrange for accommodations through the application and/or recruiting process. If you need assistance to accommodate a disability or religious observance, you may request an accommodation at any time. Please note: This mailbox is only for accommodation requests or questions. Please use the Contact Us form for any recruiting inquires. Legal Information for Job Seekers can be accessed on our _ Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

We’re transforming the United States Government and we know that takes a dream team. We believe customer experience starts with employee experience, so we take care of our employees. We offer competitive pay and benefits, invest in employee growth, and offer a culture you can’t find anywhere else. At Rise8, we continuously achieve unreached heights through next-level tech, and on-the-level collaboration. Together, we create continuous impact. We turn breakdowns into breakthroughs, make small steps into giant leaps, and deliver game-changing products through culture-changing process. We pair Risers with their customer counterparts and practice pairing at every moment to elevate people and teams and deliver results fast and forever. We work in small teams and rotate between them frequently so that we are able to meet new challenges and explore new ideas. Our methodology is about experimenting and learning, and our culture is empowering. We subscribe to an ethos of kindness. We make a point to bring empathy to each and every project and are guided by a promise and a purpose: to deploy critical outcomes to prod in order to drive relentless progress. Not just an idea. But an outcome. A better world. A world where every day, fewer bad things happen because of bad software. Rise8 is certified as_ with 100% of employees saying they love working here. • You want to make tomorrow better than today., • You enjoy daily decision making and real product delivery on a balanced team of product management, design, and engineering., • You help ensure project success and client satisfaction., • You enjoy collaborative teams, pairing with team members, and inviting your clients to participate., • You like to work alongside, and learn from, lean and agile leaders., • You are a creative problem solver who is comfortable with uncertainty and can lead the design effort to make better product decisions., • You’re a curious and keen learner who thrives on enhancing your (and our) practices and knowledge. The Department of Defense (DoD) SkillBridge internship program is for military service members transitioning from federal service to commercial industry only. For DoD SkillBridge participants, we offer a 40 hr/wk apprenticeship where you will work alongside one of our professionals on product or in business operations. Length: 120-180 days preferred Location: Remote or on-site (Tampa or LA) Product Roles: Cloud Infrastructure/Cloud Platform, Security, and Application Development Roles: Product Manager, UX Designer, Software Engineer, Cloud Engineer, Platform Engineer, Security Engineer/Security Analyst, Data Engineer/Data Scientist Business Operation Roles: Brand, Marketing, Sales, Administration, Executive Leadership • Currently on active duty and eligible for SkillBridge, • Possess a growth mindset., • Demonstrated grit, resilience, and determination to overcome obstacles and achieve goals., • Entry level experience or certifications for the role you are applying for. All of Rise8’s work in this area is with Federal Government customers that require our employees involved with their projects be U.S. citizens. As such, this role requires U.S. citizenship. If hired, you would also be required to go through a background investigation. Rise8 is an Equal Employment Opportunity employer that will consider you for this role regardless of race, color, religion, gender, sexual orientation, marital status, gender identity or expression, national origin, genetics, age, disability status, protected veteran status, or any other characteristic protected by applicable law.

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 116 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit _. Team Description: This role is part of the Ads Measurement, Signals, and Privacy organization at Reddit. Ads identity empowers Reddit’s ads delivery, targeting, and measurement products to better measure and increase ROAS by linking actions on and off Reddit to the person or people who took them while honoring their privacy preferences. This team collaborates regularly with stakeholders across all of Reddit’s product teams to set a long-term vision and maximize the value of the linkages we create. We are solving complex problems in an increasingly challenging environment of meeting stricter consumer privacy expectations. Role description: You will apply your strong critical thinking and analytical reasoning skills to go deep into the details of identity matching with software and machine learning engineers. You'll make decisions about what work to prioritize based on opportunity sizing and a clear vision for the long-term. You will directly own execution of multi-team projects and be accountable for annual goals reported directly to our VPs. This role provides an opportunity to massively improve a critical system for Reddit’s business in a relatively short time frame with a clear path to increased ownership and responsibility for broader end-to-end strategic ownership. • Deliver improvements to our identity system that quickly and significantly improve our ability to link events to people, • Define and prioritize the product roadmap and collaborate with other ads product managers across the organization to set long-term strategy, • Develop an expert-level understanding of the ads identity ecosystem through self-learning, data exploration, and market research, • Create metrics and goals, in collaboration with data science, to incentivize models and the entire team to deliver maximum value, • Partner closely with Data Science, Engineering, Legal, and Privacy teams that deliver sustainable system improvements, • Bachelor's degree (or foreign equivalent) in Computer Science, Computer Engineering, Statistics, Economics, Engineering, Applied Sciences, Mathematics, Physics, or a related field, • 2+ years as a product manager of a machine learning product or 5+ years as data scientist working with product teams, • Experience delivering / partnering with product and cross functional teams to deliver complex and scaled projects, • Strong analytical skills with experience in applied statistical analysis, • A foundational understanding of the ads identity ecosystem, • Experience directly driving execution across all aspects of product development cycle, • Proven ability to collaborate cross functionally and without direct authority, • Experience writing SQL queries and exploring data independently, • PhD or Masters in Probability, Statistics, or Behavioral Economics, • 2+ years working on an ads product measuring or serving behavioral advertising, • 2+ years setting goals for a product team, • Experience building or sourcing ground truth data sets, • Collaborate & Partner: Work closely with product management, partner management, and other engineering teams to ensure the Ads API meets the needs of both internal stakeholders and external developers. Who You Are: You are a high-agency leader who doesn't wait for direction; you see what needs to be done and take the initiative to make it happen. You have a strong sense of ownership and are driven to find solutions, work through ambiguity and enjoy complex challenges. Required Qualifications: • 5+ years of industry experience as a Software Engineer., • 2+ years managing (including coaching, mentoring, developing) engineering teams., • Demonstrated ability to drive projects from inception to completion, acting as the primary agent of change., • Proven experience designing, building, and operating scalable, public-facing APIs (e.g., REST, gRPC)., • Experience with at least two general programming languages such as Python, Go, Scala, Java, or C++., • Excellent communication skills, both written and verbal, and the ability to work effectively with product managers, data scientists, and other xfn stakeholders. Preferred Qualifications: • Experience managing Infrastructure or Platform teams., • Experience in the advertising technology space., • Experience with API gateways, authentication/authorization protocols (e.g., OAuth), and rate limiting. Benefits: • Comprehensive Healthcare Benefits and Income Replacement Programs, • 401k with Employer Match, • Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support, • Family Planning Support, • Gender-Affirming Care, • Mental Health & Coaching Benefits, • Flexible Vacation & Paid Volunteer Time Off, • Generous Paid Parental Leave #L1-AS1 Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit _. To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base pay range for this position is: $190,800 - $267,100 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our _. Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Job Description Location: Austin, TX Employment Type: Full-time, In-Office Department: Engineering Compensation: Top of market salary + equity As a Staff Applied Data Scientist: You will play a key technical role on our Engineering team, identifying and evaluating trends, insights across large data sets and where having more refined data or internal ML/AI models could improve our product outcomes or operations. You’ll own building, evaluating, and deploying these models to production and monitor for quality and accuracy over time to prevent regressions and ensure continued relevance. We operate across data types including public, proprietary and a large volume of image data. You’ll operate with a high degree of autonomy and serve as a trusted technical owner for business problems across the organization. Steadily is still early in our exploration and application of where AI/ML models can drive the biggest business value, so this role is ideal for Scientists who like operating in ambiguous environments and to explore where the most impactful focus and methods should be applied. This is a full-time, in-office position based in Austin, TX Job Responsibilities Design, build and evolve data sets and models with an emphasis on scalability, quality and maintainability, identifying the appropriate technique and approach to meet the needs of the business. Focus areas could be estimating risk at the property level, how to accurately assess property costs and using aerial image analysis or modelling techniques to identify individual attributes that feed into other models. Own and lead exploration and implementation of new areas of science application in our product ecosystem to better predict risk both on a per-insured level and in aggregate across the entire portfolio. Write clean, maintainable R/Python code, setting a high bar for quality and adherence to best practices. Partner closely with Engineering, Product, Operations and Business teams to design reliable solutions across systems. Provide excellent metrics and visibility into model quality, bias and performance to assess how it’s helping the business ensure a high bar of scientific rigor and evaluation. What we’re looking for: Experienced: 5+ years experience applying Data Science methods to production problems. We expect you to be able to dive into a complex codebase without too much spin-up. Past experience as a team lead is definitely a plus. Builder: You like the product-side of data and think about how to apply modeling and evaluation techniques to real-world problems. You have thoughtful opinions about where the data leads and how to maximize the business impact of your work. Pragmatic: We prioritize impact and delivery. You balance speed and quality, making thoughtful trade-offs to solve problems effectively. You leverage off-the-shelf solutions so we don’t re-invent the wheel but understand when a custom solution is appropriate. Curious: you are not just an order-taker... you are curious about what makes the business tick and you learn the intricacies of how it runs. This results in strong intuition for when analysis is wrong and leads you to suggest ideas and insights that nobody thought to ask for. You’re not the type of scientist who wants fully fleshed-out specs thrown over the wall for you to implement. Nice to have: Actuarial experience, or experience applying models to risk evaluation and aggregation problems. Experience in vision photo analysis Additional Information: Applicants must be authorized to work in the United States. We are unable to provide visa sponsorship at this time. What We Offer: Compensation: Top of market salary + equity Time Off: 3 weeks PTO + 6 federal holidays Insurance: Medical, dental, vision, life, disability, HSA, FSA Retirement: 401(k) Perks: Free snacks, team lunches, collaborative office culture Why Join Steadily: Good company. Our founders have three successful startups under their belt and have recruited a stellar team to match. Top compensation. We pay at the top of the Austin market (see comp). Growth opportunity: We’re an early-stage, fast-growing company where you’ll wear a lot of hats and shape product decisions. Strong backing. We’re growing fast, we manage over $20 billion in risk, and we’re exceptionally well-funded. Culture: Steadily boasts a very unique culture that our teammates love. We call it like we see it and we’re nothing if not candid. Plus, we love to have a good time. Check out our culture deck to learn what we’re all about. Awards: We've been recognized both locally and nationally as a top place to work. Recently we were ranked 16th on Forbes' 2026 Best Startup Employers list, and 63rd on the prestigious Inc 5000 Fastest Growing Companies list. We've also been recognized as one of the Best Landlord Insurance Companies in 2026 by CNBC, a Top 2025 Startup in Newsweek, in Investopedia's Best Landlord Insurance Companies, and we won Austin Business Journal's Best Places to Work in 2025. We’re excited to meet you!

Job DescriptionCareer Renew is recruiting for one of its clients a Technical Product Manager, Data and Internal Products - this is a fully remote position for US-based candidates. Salary range: 180-230K USD plus benefits plus equity.We are the leading provider of innovative identity and risk solutions, empowers institutions and individuals to transact confidently with one another by preventing synthetic fraud, identity theft, and emerging forms of first party fraud at the point of account application. Its solutions enable these secure transactions by leveraging a deep understanding of identity and risk, and are informed by machine learning models and insights from a team of top risk analysts. We proudly serve a broad array of financial institutions, from the largest U.S. banks to leading credit unions and fintech unicorns to help stop fraud at account opening and beyond. Headquartered in San Francisco, the company was founded in 2017 by Naftali Harris and Max Blumenfeld and it has raised $85M to date from investors including Andreessen Horowitz, Craft Ventures, and NYCA Partners, among others. We are looking for a Data Product Manager with 5+ years of experience to lead internal initiatives within our Tech organization. This person will build and maintain our core internal technology, spanning critical datasets, internal services, and the underlying platforms that support our products and analytics. What will you be doing? Own the product vision, roadmap, and execution for internal technical initiatives, with a strong focus on dataintensive systems. Lead cross-functional efforts to improve the quality, reliability, and usability of internal systems, including datasets and shared services. Drive long-term initiatives to future-proof internal data and technology assets, ensuring they scale with evolving needs. Partner with engineering, data science, solutions analytics, and product stakeholders to understand use cases and clarify requirements. Manage prioritization across competing internal demands, balancing immediate impact with long-term strategic value. Key Requirements 5+ years of experience with data-heavy or platform-oriented products, with a focus on ML/Data Science strongly preferred. Hands-on experience working with large datasets (e.g., Spark, Databricks, BigQuery, Snowflake). Strong understanding of big data concepts, data pipelines, data cleaning/normalization, and data modeling. Demonstrated ability to partner effectively with engineering, data science, and analytics teams on deeply technical problems. Experience driving large internal initiatives with multiple stakeholders and managing cross-functional dependencies. Tech stackSpark, Databricks, BigQuery, Snowflake Requirements: 5+ years of experience PM, founder, or equivalent cross-functional product role (Mandatory) Resume must show both big data product work and internal tooling experience with specific projects named (Mandatory) At least 1 year at a Series B/C startup; current or most recent role must be at a startup, not big tech (Mandatory) Prior engineering title required (SWE, data scientist, ML engineer, or highly technical data analyst) (Mandatory) Data pipeline experience required: production-level work with data ingestion, cleaning/normalization, and modeling with specific tools cited (Mandatory) Python and AWS familiarity required; big data tooling (Spark, Databricks, BigQuery, Snowflake, or Redshift) must be explicitly named on resume (Mandatory) Domain experience in fintech, payments, fraud, or identity is a significant differentiator (Nice-to-have) Located and authorized to work in the United States. (Mandatory) Why you should join Market-leading fraud prevention company - We're the go-to identity verification solution for major US banks, credit unions, and fintech unicorns, processing hundreds of millions of identities. $85M raised from top-tier investors - Backed by Andreessen Horowitz, Craft Ventures, and NYCA Partners with strong financial runway. Forbes Fintech 50 recognition - Named to the prestigious list every year since 2023, plus we made history as the first eCBSV provider. Competitive compensation package - $180K-$230K base salary plus equity and comprehensive benefits including employer-paid health insurance for you and dependents. Remote-first culture - Work from anywhere in the US with flexible PTO and regular company-wide in-person events.

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