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Extensive experience with training paradigms like supervised learning, self-supervised learning, and contrastive learning. Expertise demonstrated by research publications or industry achievements, in driving independent research in applied machine learning, deep learning and complex data modeling. A

SIXGEN’s mission is to deliver agile, mission-ready cybersecurity solutions that empower government and critical infrastructure organizations to stay ahead of advanced cyber threats.We combine innovation, deep expertise, and cutting-edge capabilities to uncover vulnerabilities, protect vital syste

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm.Our consultants bring deep expertise in Data Science, Machine Learning and AI.We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate busi

Senior Data Scientist, Finance Analytics. Support business operations, finance, revenue operations, and other internal teams by building analytics and reporting to understand overall business performance and increase organizational efficiencies. Experience in analytics and finance strategy, includin

Tiger Analytics is looking for experienced Data Scientists GenAI to join our fast-growing advanced analytics consulting firm. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Work on the latest applications of data science t

Cinder provides a cutting-edge platform to protect the internet. Trust & Safety teams at the world’s most influential companies need powerful solutions that allow them to innovate and adapt as quickly as the threats they face. Companies rely on our software to make policies, label, moderate, enforce, investigate, and disrupt threats like hate groups and state-sponsored disinformation campaigns. We’re seeking an Account Executive to join our team. We’re building an enterprise-grade platform to make the internet safer and we need highly curious, hard-working self-starters. We operate as a fully remote company with teammates in NY, DC, London, Austin, and SF, among other cities. This role will operate primarily in US Eastern time zone. We believe in the value of frequent in-person meet-ups and learning face to face. We offer health, vision & dental benefits and a 401(k) plan with employer matching. * Work closely with new and existing customers to deeply understand their Trust & Safety challenges and goals. * Work directly with the founding team, and in a team selling environment: investors, advisors, employees, founders. Everyone pitches in. * Be relentless and intentional about building pipeline. * Identify and empathize with key partner needs to launch and grow partnerships. * Drive engagement with technical and non-technical buyers. * Vertically integrate your work experience—to drive sales strategy and manage the nuts and bolts in Salesforce, Apollo etc to manage and grow a robust sales pipeline. * Work closely with customer engineering teams to prioritize product improvements and new features to keep our existing product offerings sharp and relevant. * Work closely with Cinder product designers and investigations experts to craft a consumer-grade experience for our customers. * 2+ years of experience selling B2B SaaS to enterprise accounts with at minimum high five-figure deals. * Wide-ranging curiosity. We are creating a category and shipping a product with little precedent. Strong candidates do not need experience with platform governance, but they must demonstrate curiosity and humility in learning a new space so they can communicate effectively with our buyers and user base. * Experience successfully selling and winning complex, multi-month+ sales cycles. * Comfortable operating at a small company—you’ve created or tweaked a successful sales motion, and seen one built from the ground up. * Experience successfully navigating and leveraging partnership agreements. * Experience with sales in a fluid category creation motion with multiple buyer personas * Comfort with ambiguity and an ability to take initiative. * Relentless optimism balanced with realism: assume the best, prepare for the worst, and never leave anything to chance. * Familiarity with and understanding of how the internet and other technical tools can be used for harm. * Excellent written and spoken English communication skills. * Experience working for a social media, marketplace, or media company with knowledge of how attackers abuse these systems. * Previous sales experience at a company known for producing sales talent who successfully close six-figure enterprise deals. * Experience as a software developer, data scientist, or other technical background. * Familiarity in information security, online safety, or other knowledge of how bad actors operate online. * Experience selling software designed to empower teams defending against clear adversaries. As an Account Executive at Cinder, you’ll be central to Cinder’s growth and getting our product into the hands of the people who need it the most. We’re building and implementing the most advanced content safety system, and your customers and partner organizations are some of the world’s largest enterprises. Expect a front row seat in tackling the hardest problems for some of the most sensitive, impactful issues.

We're looking for a Senior Data Scientist to partner with Marketing, Brand, Product and Finance teams to answer key questions about the effectiveness of marketing across all our paid and owned channels. We solve challenging problems and boost business growth through a deep understanding of user behaviors with applied analytics techniques and business insights. An ideal candidate should have robust knowledge of marketing measurement methods (eg. causal inference, attribution, MMM) and strong technical fluency in scripting (Python/R) and querying (SQL). • Evaluate and improve our marketing measurement leveraging techniques such as MMM(Marketing Mix Modeling), MTA(Multi touch attribution) and incrementality testing, • Perform analytical deep-dives to analyze problems and opportunities, identify the hypothesis and design & execute experiments, • Inform future experimentation design and roadmaps by performing exploratory analysis to understand user engagement behavior and derive insights, • Create personalized segmentation strategies leveraging propensity models to enable targeting of offers and experiences based on user attributes, • Identify key trends and build automated reporting & executive-facing dashboards to track the progress of acquisition, monetization, and engagement trends., • Extract actionable insights through analyzing large, complex, multi-dimensional customer behavior data sets, • Monitor and analyze a high volume of experiments designed to optimize the product for user experience and revenue & promote best practices for multivariate experiments, • Translate complex concepts into implications for the business via excellent communication skills, both verbal and written, • Understand what matters most and prioritize ruthlessly, • Work with cross-functional teams (including Data Science, Marketing, Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate, • Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field, • 7+ years experience using analytics to drive key business decisions; examples include business/product/marketing analytics, business intelligence, strategy consulting, • Proven track record of being able to work independently and proactively engage with business stakeholders with minimal direction, • Significant experience with SQL and large unstructured datasets such as Hadoop, • Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees, • Solid background in running multivariate experiments to optimize a product or revenue flow, • Strong verbal and written communication skills, • Proficiency in programming/scripting and knowledge of statistical packages like R or Python, • Experience in using open source packages for incrementality tests(e.g. Meta’s Geolift, Google’s Causal Impact) and MMM (Google’s Meridian, Lightweight MMM or Meta’s Robyn), • Master's or Ph.D. Degree in a quantitative field, • Experience with predictive modeling, machine learning, and experimentation/causal inference methods. US Zone 1 This role is not available in Zone 1 US Zone 2$173,700—$234,900 USDUS Zone 3$154,400—$208,800 USD

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 Reddit is poised to rapidly innovate and grow like no other time in its history. This is a unique opportunity to leave your mark on one of the most influential and trafficked corners of the internet. Consumer data science plays a key role in fulfilling Reddit’s mission of bringing community & belonging to the world through deep understanding of how we can better connect people to the best information and communities for them - the heart of Reddit’s product - from crypto to support groups, gaming to AMAs, travel tips to memes. As a Staff Data Scientist on the team, you will play an influential role in guiding product strategy through proactively identifying opportunities, conducting exploratory analyses and sharing insights, and driving learning through experimentation. Responsibilities: • Help build the long term product strategy by identifying opportunities to attract new users, increase engagement, and drive retention, • Influence strategic roadmaps through data-driven insights into user behaviors and needs, • Design metrics that help evaluate the health of the business and the success of our products, including any ETL development needed for consistent and robust analysis, • Drive experimentation from design through execution and analysis to maximize learnings and guide future investment decisions, • Build self-serve tools for product and engineering partners that answer common questions and/or increase data literacy in the organization, • Work cross functionally with product, engineering, and design teams to ensure insights make it to the product, • Scale your work to other parts of the data organization through mentoring more junior data scientists, improving processes, and providing perspective on the most important problems Required Qualifications: • 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 6+ years of industry data science experience required; If PhD degree, a minimum of 4+ years of industry data science experience required), • Expert knowledge of SQL and relational databases, • Familiarity with statistical analysis and the preferred programming languages of the team (R / Python), • Demonstrated ability to influence and guide product strategy with data, • Demonstrated ability to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way, • Familiarity with causal inference techniques and causal models, • Excellent communication and experience working with senior leaders / stakeholders, • Entrepreneurial, self-directed, and enthusiastic about solving problems, • Demonstrated ability to mentor other data scientists and share best practices to elevate the data science practice at Reddit, • Conform in innovative and fast-paced environments, and have a bias toward action., • Can discuss complex topics with technical and non-technical audiences Benefits: • Comprehensive Healthcare Benefits and Income Replacement Programs, • 401k Match, • Family Planning Support, • Gender-Affirming Care, • Mental Health & Coaching Benefits, • Flexible Vacation & Reddit Global Days off, • Generous paid Parental Leave, • Paid Volunteer time off #LI-Remote 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: $217,000 - $303,900 USD 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.

You bring 4+ years of experience as a Data Scientist influencing product decisions through data. We are seeking a Data Scientist to join Spotify’s Artist-First AI Music Lab. Collaborate with Product, Design, Research, Marketing, and Engineering to translate insights into product requirements.

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

Location Our Senior Cloud Architect, ML/AI will be an integral part of our global Forward Deployment Engineering team. This role is based remotely in the US, Colombia, Mexico, Canada, the UK, Ireland, Estonia, Sweden, the Netherlands, and Israel. The job is also open to contractors in Eastern Europe or Portugal. About DoiT DoiT is a global technology company that works with cloud-driven organizations to leverage public cloud to drive business growth and innovation. We combine data, technology, and human expertise to ensure our customers operate in a well-architected and scalable state—from planning to production. Delivering DoiT Cloud Intelligence, the only solution that integrates advanced technology with human intelligence, we help our customers solve complex multicloud problems and drive efficiency. With decades of multicloud experience, we have specializations in Kubernetes, GenAI, CloudOps, and more. An award-winning strategic partner of AWS, Google Cloud, and Microsoft Azure, we work alongside more than 4,000 customers worldwide. The Opportunity As a Senior Cloud Architect, ML/AI, you will be part of our global Forward Deployed Engineering organization, working with rapidly growing companies in EMEA and around the world. Depending on business needs, this role may be aligned to either Field Engineering (pre-sales + GTM) or FDE Delivery (install base, product adoption, customer health), with a common technical bar and shared expectations. You will: • Lead the design and implementation of production-grade ML and Generative AI solutions on AWS (with awareness of multi-cloud environments)., • Act as a hands-on expert and trusted advisor for customers running AI/ML workloads at scale, from initial discovery through deployment and optimization., • Translate complex business problems into cloud architectures that are secure, reliable, cost-efficient, and observable., • Help evolve how DoiT uses AI/ML internally and with customers by turning one-off solutions into reusable patterns and “gravel roads” that influence the product roadmap. For Field Engineering, you will focus more on pre-sales, POVs, CloudBuild engagements, and partner-led growth motions. For Delivery, you will focus more on install base health, product adoption, proactive engagements, and account-team work. • Lead discovery, architecture, and implementation for advanced ML and Generative AI workloads on AWS, including data, training, inference, and integration layers., • Own the technical success of your engagements: clearly define outcomes, make tradeoffs visible, and ensure designs are production-ready (security, reliability, performance, cost)., • Provide opinionated guidance on GenAI architectures (e.g., Amazon Bedrock, SageMaker, Q) and how they integrate with customers’ existing systems and processes. For Field Engineering: • Partner with Account Executives, Solution Engineers, and Growth FDEs to shape and win opportunities across all four GTM pillars in-region (product adoption, new logo acquisition, install base expansion, partner-led growth)., • Serve as technical lead for extended POVs and CloudBuild engagements focused on AI/ML and GenAI, demonstrating clear value and de-risking customer adoption., • Build compelling technical narratives and demos that support revenue-generating motions, including co-sell initiatives with CSP partners. For Delivery: • Act as a named technical advisor for a portfolio of existing customers, working within account teams (Account Manager, CSM, FDE) to improve install base health and outcomes for AI/ML and GenAI workloads., • Lead proactive “Get FDE”–style engagements where AI/ML expertise is needed to unblock customers, reduce risk, or improve the impact of DoiT Cloud Intelligence., • Participate in structured account-team routines (e.g., objective setting, quarterly environment reviews) to keep AI/ML architectures aligned with customer goals and product adoption opportunities., • Recommend and implement AI/ML-related capabilities in DoiT Cloud Intelligence (e.g., CloudFlow, Insights, DataHub) as part of your customer engagements., • Document and measure the business and technical impact of your work, tying AI/ML initiatives to clear customer outcomes (cost, performance, reliability, productivity). For Field Engineering: • Design and run service-led product adoption plays that use AI/ML and GenAI projects to drive deeper adoption of DoiT’s platforms, in partnership with Growth leadership., • Ensure AI/ML-focused CloudBuild and POV engagements include mandatory product adoption playbooks, with clear activation and follow-up criteria. For Delivery: • Execute against delivery programs and automations that detect product struggles (e.g., customers failing to complete AI/ML workflows, incomplete CloudFlow pipelines) and turn those into targeted AI/ML advisory engagements., • Use every relevant delivery touchpoint to recommend and operationalize product adoption (e.g., Insights, automation, FinOps/CloudOps workflows) in collaboration with account teams., • Maintain a high personal bar for delivery quality: clear scopes, realistic plans, strong communication, and crisp technical documentation., • Capture repeatable AI/ML patterns, reference architectures, and runbooks that other engineers can apply across customers. For Field Engineering: • Identify and validate “gravel road” solutions—custom AI/ML or GenAI integrations and patterns that should be elevated into standard offerings or product features., • Work with Product, R&D, and growth leaders to submit and champion these patterns into the roadmap, connecting field innovation to scalable packages and revenue engines. For Delivery: • Contribute to the FDE Delivery vision by turning recurring AI/ML implementation work into structured “gravel roads” (e.g., reusable CloudFlow patterns, Insights definitions, data pipelines) that can be productized., • Collaborate with FDE advocates and product teams to ensure field-built AI/ML solutions are vetted, documented, and, when appropriate, handed off for productization., • Collaborate closely with Sales, Customer Success, Product, and Business Systems Engineering to ensure AI/ML work is visible, repeatable, and connected to company priorities., • Communicate clearly with both technical and non-technical stakeholders, setting expectations and making risks and tradeoffs explicit. For Field Engineering: • Work with cloud partner teams (especially AWS) to align AI/ML initiatives to program funding, strategic bets, and co-sell motions—without compromising customer outcomes., • Provide technical leadership for partner-led opportunities involving GenAI and ML on AWS, ensuring DoiT’s value and DoiT Cloud Intelligence are central to the solution. For Delivery: • Coordinate with Account Managers, CSMs, TAMs, and other FDEs to ensure AI/ML engagements are sequenced correctly within broader account plans and install-base priorities., • Feed structured, field-derived feedback on product adoption barriers (especially for AI/ML capabilities) into Delivery leadership and product teams., • Use and maintain the systems, templates, and workflows that support planning, observability, and quality across Customer Experience (e.g., JIRA, documentation standards, dashboards)., • Contribute to internal enablement: teach other Doers about new AI/ML capabilities, share patterns, and help raise the bar globally for ML/AI expertise. For Field Engineering: • Ensure your AI/ML work is accurately reflected in pipelines, opportunities, and CloudBuild portfolios, enabling reliable reporting on technical win rates and influence on ARR., • Help improve forecast quality and POV coverage for AI/ML-related opportunities by maintaining good hygiene in the relevant systems. For Delivery: • Ensure AI/ML delivery engagements are logged, measured, and observable in the tools used for install-base health and product adoption tracking., • Participate in Delivery operating rhythms (e.g., team reviews, program updates) with clear, data-backed updates on your AI/ML work and impact., • Success metrics and specific objectives for this role will be defined and updated on an annual and quarterly basis through the company planning cycle, pod charters, Weekly Operating Review (WOR) scorecards, and relevant regional/functional scorecards., • As a Senior Cloud Architect, you are expected to:, • Understand the metrics and objectives that apply to your function (Field Engineering or FDE Delivery) and region., • Transparently report progress against those metrics., • Proactively propose and execute corrective actions when off track., • Experience, • 4+ years of experience architecting, deploying, and managing cloud-based AI/ML solutions, including production workloads., • Proven track record designing and operating large, distributed systems on AWS, selecting appropriate services and patterns to meet business and technical goals., • AWS & GenAI / ML Expertise, • Advanced proficiency with AWS services relevant to AI/ML and GenAI., • Hands-on experience with Amazon Bedrock for deploying and scaling foundation models and Generative AI workloads., • Experience fine-tuning and deploying Large Language Models (LLMs) and multimodal AI using Amazon SageMaker (including JumpStart)., • Strong prompt engineering skills and familiarity with rigorous model evaluation (quality, safety, performance)., • Understanding of agentic capabilities and patterns for AI agents that autonomously perform tasks and integrate with existing systems., • Experience with Amazon Q Business and Amazon Q Developer (or similar tools) to accelerate insight generation and development workflows., • ML Pipelines, Data & MLOps, • In-depth knowledge of Amazon SageMaker components such as Pipelines, Model Monitor, Data Wrangler, and SageMaker Clarify for bias detection and interpretability., • Proficiency integrating TensorFlow, PyTorch, and other ML frameworks with SageMaker for model development, fine-tuning, and deployment., • Experience with distributed training (multi-GPU or multi-node) and performance optimization for inference., • Strong data-engineering skills on AWS: Amazon S3, AWS Glue, Lake Formation, Redshift for AI/ML data pipelines., • Experience building end-to-end AI/ML workflows using services like AWS Lambda, Step Functions, API Gateway, and containerized deployments on Amazon EKS / AWS Fargate., • DevOps, MLOps, Governance & Security, • Hands-on experience with CI/CD for AI/ML using AWS CodePipeline, CodeBuild, SageMaker Pipelines, or similar., • Proficiency in monitoring and operating AI systems using Amazon CloudWatch and SageMaker Model Monitor., • Strong understanding of AI governance, security, and compliance on AWS, including IAM, KMS, and data privacy patterns., • Familiarity with AI ethics and bias detection/mitigation (e.g., using SageMaker Clarify or similar tools)., • Multi-Cloud Awareness & Collaboration, • Working knowledge of Google Cloud AI tools (e.g., Vertex AI, Cloud AutoML, BigQuery ML) sufficient to reason about multi-cloud architectures and integration points., • Proven ability to mentor peers, run enablement sessions, and collaborate across Sales, CS, and Product., • Soft Skills, • Excellent communication skills across technical and business audiences; able to simplify complex ideas and influence decisions., • Natural ownership mentality: you escalate early, resolve fast, and own the outcome., • Demonstrated ability to work effectively in a remote-first, global environment., • Education & Certifications, • BA/BS degree in Computer Science, Mathematics, or a related technical field, or equivalent practical experience., • Additional data or AI certifications (e.g., AWS/GCP data certifications, reputable AI/ML programs such as Stanford, Coursera, Udacity, MIT, eCornell)., • Expanded AI/ML & Dev Experience, • Experience with modern RLHF, advanced fine-tuning techniques, and hybrid AI architectures., • Familiarity with Hugging Face or similar open-source ecosystems integrated with AWS., • Prior experience as a ML Engineer, Data Scientist, or AI-focused Architect in a consulting or SaaS environment., • Tooling & Process, • Experience with JIRA or similar tools for tracking work across delivery and product-feedback cycles., • Exposure to Agile practices and frameworks commonly used for SaaS and cloud delivery. Are you a Do’er? Be your truest self. Work on your terms. Make a difference. We are home to a global team of incredible talent who work remotely and have the flexibility to have a schedule that balances your work and home life. We embrace and support leveling up your skills professionally and personally. What does being a Do’er mean? We’re all about being entrepreneurial, pursuing knowledge, and having fun! Click here to learn more about our ___. Sounds too good to be true? Check out our___. We thought so too, but we’re here and happy we hit that ‘apply’ button. Full-time employee benefits include: • Unlimited Vacation, • Flexible Working Options, • Health Insurance, • Parental Leave, • Employee Stock Option Plan, • Home Office Allowance, • Professional Development Stipend, • Peer Recognition Program Many Do’ers, One Team DoiT unites as Many Do’ers, One Team, where diversity is more than a goal—it's our strength. We actively cultivate an inclusive, equitable workplace, recognizing that each unique perspective enhances our innovation. By celebrating differences, we create an environment where every individual feels valued, contributing to our collective success. #LI-Remote

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.

Every company needs supplies and services to operate. From laptops and rental cars to pens and pallets, all companies have procurement needs. That’s where CoreTrust comes in. CoreTrust provides a B2B marketplace that has transformed how companies buy billions of dollars’ worth of supplies and services annually. We’re on a mission to be the one place where buyers and suppliers connect, secure purchasing agreements, transact, and partner to realize savings. To support our growth, we’re seeking an experienced Senior Data Scientist to join our Data Solutions team. The CoreTrust Data Solutions team's charter is to foster a data-driven culture to encourage and enable the entire organization to make more informed decisions through data. Our data and analytics team works closely with engineering, sales, marketing, finance, and business leaders to identify opportunities for improving customer experience and accelerate our business's growth in support of this mission. This is a unique opportunity to bring your knowledge of enterprise software offerings, as well as your understanding of data science methods and best practices, to help CoreTrust deliver the best experience possible for our customers and partners. Responsibilities • Work with other teams across CoreTrust to develop key metrics to achieve business outcomes., • Work cross functionally to translate business problems into solutions that can be solved and informed by data and automated with AI Agents., • Have curiosity and apply analytical skills to dive deep into data to find key insights that impact the business., • Develop models of usage, user behavior & business behavior to make recommendations and influence the product road map., • Be a champion of AB testing. Design, execute and analyze experiments to prove product change attribution., • Utilize tools like SQL, Python, LLMs and platforms like Azure AI Foundry or Amazon Bedrock to execute analysis and create AI applications., • Track and monitor projects in JIRA, • Design, implement, and maintain analytics, models and LLM-driven scripts/software, • Work with stakeholders across the organization to understand requirements and generate actionable insights, • Work as part of a team to maintain a high-quality data lake house, • Serve as a subject matter expert on machine learning, AI agents, and statistics, • Be part of the Data Science Team to share ideas and best practices, • Create dashboards and reports to clearly and concisely communicate results and insights, • Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 4+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results), • OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results), • 4+ years of experience in data science and analytics, • Experience with design and maintenance of advanced data systems, • Deep understanding of data modeling, statistics, and data visualization concepts, • Comfortable working with data in a variety of formats and languages, like CSV, Parquet, XLSX, JSON, etc. and SQL/Python, • Experience with Azure or AWS cloud platforms, OpenAI and Anthropic APIs, RAG-based chatbots, AI Agents, LLMs and other foundational AI/GenAI models, • Ability to use your understanding of statistics and modeling to explain complex outputs to non-technical team members, • Experience with tools like PowerBI, Snowflake, N8N, Claude Code, OpenAI Codex, Cursor, • Competitive compensation package, • Free individual employee medical coverage, • Company subsidized dental and vision coverage, • Dollar for dollar 401(k) match up to 6% of your salary with immediate vesting, • Company-paid Short-Term and Long-Term Disability coverage, • Employee Assistance Program to support your wellbeing and mental health, • $1500 annual stipend for undergraduate/graduate college courses; $500 annual stipend for continuing education courses/certifications, • Free snacks and beverages on-site, • Brand new, state-of-the-art, tech-enabled work environment in downtown Nashville, • Flexible/hybrid work culture

Daymark Solutions is an experienced technology integration and solutions provider that helps organizations effectively architect, implement, and deploy customized solutions using best of breed technologies. Specializing in cloud solutions and datacenter technologies, Daymark’s unique combination of in-depth technical knowledge, extensive experience, and proven methodologies enable our customers to successfully address even the most difficult business and technology challenges. The Role We’re looking for an M365 Architect who thrives on solving real business challenges and shaping how modern workplaces operate. As a senior member of our Professional Services team in the Modern Work practice, you’ll lead high-impact discovery and pre-sales engagements—partnering with clients to uncover their needs, define the right solutions, and clearly articulate the value behind them. You don’t just design solutions; you influence decisions. This role is a true blend of pre-sales (50%) and post-sales (50%) consulting, giving you full ownership from the first conversation through successful delivery. You’ll architect, scope, and implement Microsoft 365 solutions while serving as a trusted advisor every step of the way, guiding clients through complex decisions and ensuring outcomes that are both technically sound and business-driven. Responsibilities • Lead technical discovery and pre-sales engagements, translating customer business needs into solution architectures, scope definitions, and compelling value propositions in partnership with the sales team., • Design, configure, and implement cloud and technology solutions while delivering documentation and knowledge transfer to customer stakeholders., • Serve as a trusted advisor throughout the project lifecycle, driving successful deployments, resolving complex technical challenges, and ensuring customer satisfaction and adoption goals are met., • Advise customers on best practices, whether with industry standards or your own recommendations, around Microsoft 365 including tenant configuration, security, integrations, endpoint management, data governance, and Artificial Intelligence., • Contribute to expanding our Microsoft partnership & Modern Work practice through growth in CSP and Professional Services revenue, the development of new technical skills & focus areas, and building relationships with key Microsoft resources., • Participate in knowledge exchanges with coworkers, regularly sharing and receiving knowledge to enhance our Microsoft 365 services, including best practices, implementation strategies, complex architectures., • Collaborate with team members to define and implement/document standards and methodologies for Professional Services engagements. Experience with the Microsoft Partner ecosystem including Solution Partner designations, Advanced Specializations, and how to achieve them. Insight into Microsoft programs and customer funding mechanisms including ECIF. Knowledge and experience with many of the following technologies as possible: * Core Microsoft 365 services including Exchange Online, SharePoint Online, Entra ID Microsoft Teams, and OneDrive for Business. * Microsoft 365 GCC High in support of regulated environments specifically the Defense Industrial Base. * Installation, configuration, and optimization of Entra ID Connect in large complex AD environments. * Microsoft Purview, including Information Protection and Rights Management. * Microsoft Intune for Mobile and Windows Autopilot, app deployment, device lifecycle, configuration profiles. * Microsoft Defender Suite, including Defender for Endpoint, Defender for Cloud Apps, and Defender for Identity. * Microsoft 365 Copilot and Copilot Studio. * Power Platform, including Power Automate and Copilot Agents. * Azure Virtual Desktop and Windows 365 Endpoint management. * Quest On Demand Migration tools and/or 3rd party migration solutions. Microsoft Certifications or the ability to achieve them during the first 6-12 months: * Microsoft 365 Certified: Administrator Expert (MS-102) * Cybersecurity Architect Expert (SC-100) * Security Operations Analyst Associate (SC-200) * Identity and Access Administrator Associate (SC-300) * Information Protection Administrator Associate (SC-401) * Azure Administrator Associate (AZ-104) Additional Requirements • A business and technology mindset that can identify ways to grow our org and expand our capabilities., • Proven experience in identifying business challenges and requirements, building and delivering compelling presentations, crafting detailed statements of work, and clearly and concisely conveying solutions to both engineers and C-suite stakeholders., • The ability to lead multiple pre-sales engagements simultaneously and identify ways to drive repeatability and innovation within the team., • Strong organizational skills and the ability to own customer engagements end-to-end, including pre-sales architecture and design, scope and license planning, solution implementation, project management, communication, and documentation., • Strong written and verbal communication skills and the ability to clearly articulate both business and technology topics., • Excellent problem-solving and troubleshooting skills including the ability to manage communications internally and with the customer during challenging situations., • Relationships with Microsoft Sales, Technical Specialists, Product Managers, Program Managers, MVPs., • Deep experience with Cybersecurity Maturity Model Certification (CMMC) 2.0, • Deep knowledge of developing advanced PowerShell scripts for automating critical tasks during implementations, migrations and assessments., • The ability to help develop and refine our growing Data & AI practice leveraging your experience with Microsoft Fabric, Microsoft Foundry, Dataverse, and/or Copilot Studio including currently holding or the ability to achieve the following certifications: Azure AI Engineer Associate (AI-102), Azure Data Scientist Associate (DP-100), Azure Data Engineer Associate (DP-203), and/or Azure Database Administrator Associate (DP-300)., • The ability to help build and grow our Microsoft Power Platform practice including currently holding or the ability to achieve any of the following certifications: Power Platform Functional Consultant Associate (PL-200), Power BI Data Analyst Associate (PL-300), Power Platform Developer Associate (PL-400), Power Automate RPA Developer Associate (PL-500), and/or Power Platform Solution Architect Expert (PL-600)., • Any experience with 3rd party solutions that integrate with Microsoft 365 environments including but not limited to Varonis, Okta, Mimecast, Proofpoint, Druva and/or AvePoint. Full-time, permanent role * Base Salary: $200,000 annually (up to $230,000 in On-Target Earnings) * Comprehensive employee benefits plan * Fully remote work

I'm ___, Senior Manager, Data Science at Teamworks. I lead the data scientists behind our Hockey and Basketball platforms, and right now we're hiring for both — one Data Scientist focused on Hockey, one on Basketball. These are teams I'd put up against anyone doing technical work in sports analytics today, working with tracking and pose data that most researchers and analysts won't have access to for years. Both roles are for people who want to get into the data, understand it deeply, and build things that last. The work is different by sport, but the profile is similar: strong data science fundamentals, an eye for how data should be structured to support modeling, and genuine passion for the sport and the analytics pushing it forward. Both roles involve building on top of proprietary tracking and pose data to create metrics, models, and analyses that elite sports organizations actually use. Day-to-day the work looks like this across both: * Build and transform new data sources into tables, features, and structures that are easy for the team and our clients to build on * Develop, extend, and validate models — including event-probability models and athleticism models — ensuring data representation supports both current and future use cases * Build metrics and analyses that NHL and NBA clients rely on to make decisions, and support client-facing work by digging into the data to answer their questions directly * Extract meaningful features from high-dimensional tracking and pose data, and update existing models to incorporate new signals as they become available * Validate models and outputs — your own and others' — with enough rigor that the team can trust what ships * Write clear reports that communicate technical work to the product team and broader organization The Hockey role centers on expanding our platform to non-NHL contexts using Sportlogiq tracking data and incoming Hawk-Eye pose data — including stick location, body orientation, and skating models. The Basketball role centers on building metrics and player evaluations on top of our EPV (Expected Possession Value) framework, translating model outputs into tools NBA front offices can actually use. * 3+ years of experience working with sports tracking data including the kinds of models typically built and the data challenges that come with them * Strong data science fundamentals: you understand how models work, what they need from the data, and how to set data up to support them * Proficiency in Python or R, with solid statistical foundations and comfort with SQL for building and querying structured data * Attention to detail in how data is structured and represented, with an eye for edge cases, consistency, and how downstream users will interact with what you build * A team-first mentality — both teams are small, and being someone others can rely on matters as much as technical skill * For Hockey: direct experience with hockey data or hockey analytics (inside a team, public work, or academically), and familiarity with pose or skeleton data or other high-dimensional spatiotemporal data sources * For Basketball: experience working inside an NBA front office or comparable environment, familiarity with deep learning methods, and public-facing basketball analytics work that demonstrates how you think about the game Hockey and basketball analytics are both moving fast, and these teams are at the front of it — working directly with NHL and NBA organizations on decisions that matter, using data most researchers won't have access to for years. If you want to do work that pushes the field forward and have it actually land with real teams, these are rare seats to be in. We're the Operating System for Sports™, powering 6,500+ organizations worldwide, from collegiate programs to every major pro league. Founded in 2006, we've evolved from a messaging tool for college football into the leading sports tech platform, with 500+ global teammates building the future of sports tech. Our solutions span Personnel, Coaching, Performance, Operations, and Intelligence - helping teams recruit smarter, train better, stay compliant, and win. Teamworks is an equal opportunity employer - if you live our core values every day and are honest, hardworking, humble, committed, innovative, and an all-around exceptional person, you'll thrive at Teamworks. We are committed to building a diverse and inclusive workforce and take affirmative action to not discriminate based on race, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other legally protected characteristics. This policy applies to all employment practices within our organization, including but not limited to recruiting, hiring, promotion, termination, compensation, benefits, and training. Teamworks is committed to providing reasonable accommodations for candidates with disabilities who need assistance during the hiring process. To request a reasonable accommodation, please email ___. To all recruitment agencies: Teamworks does not accept agency resumes. Please do not forward resumes to our jobs alias, Teamworks employees or any other organization location. Teamworks is not responsible for any fees related to unsolicited resumes.

Thumbtack is the one app you need to take care of and improve your home — from personalized guidance to AI tools and a best-in-class hiring experience. Every day in every county of the U.S., people turn to Thumbtack to complete urgent repairs, seasonal maintenance and bigger improvements. We help homeowners know which projects to do, when to do them and who to hire from our growing community of 300,000 local service businesses. If making an impact inspires you, join us. Imagine what we’ll build together. Core Data Science (Core DS) accelerates Thumbtack’s success through scalable, scientific decision-making. We drive impact across the business by building shared programs and tools that improve how teams measure outcomes and make decisions, and by leading rigorous analysis on cross-cutting, company-wide questions. As a member of Core DS, you will lead high-impact work end-to-end, from identifying opportunities and structuring the approach, to executing rigorous analysis and communicating to stakeholders. You will collaborate closely with other data scientists and cross-functional partners, deliver insights that inform strategy and execution, and contribute to shared capabilities that strengthen data-driven decision-making across Thumbtack. As a senior contributor, you may also mentor others and help shape the team’s scientific culture through guidance and training. • Identify, scope, and deliver high-impact projects end-to-end, leveraging the right resources and partners, • Proactively coordinate and collaborate with stakeholders to maximize the impact and adoption of your work, • Clearly communicate insights and business implications to audiences ranging from technical to executive, using the right level of complexity and narrative to influence decisions and roadmaps, • Develop frameworks and measurement approaches that make complex marketplace and product questions intuitive and actionable, • Apply rigorous analytical and causal inference methods (e.g., experimentation, quasi-experimental designs, forecasting/measurement) balancing rigor with practical constraints (time, complexity, marginal value), • Own and improve shared decision-making programs and infrastructure, such as experimentation practices, market-based testing, and impact measurement, • Design, build, and maintain shared DS tooling and reusable assets (e.g., notebooks, libraries, training, standardized metrics, and key models that empower other teams), • Mentor other scientists/analysts and lead trainings/courses to raise the bar for scientific decision-making across the company, • 3+ years of professional experience in economics, analytics, or data science (e.g. in tech, consulting, government, etc), • Proficiency with empirical econometrics toolkit (experimentation; methods for causal inference such as IV; panel data methods; discrete models; etc), • Proficiency with SQL, • Proficiency with R or Python, including strong data visualization skills, • Strong communication skills: able to communicate complex methods in intuitive and simple ways, easily able to adapt messaging to fit the audience, able to identify/highlight key information, • Ability to build strong relationships cross-functionally and with senior leadership, • Proficiency with data wrangling and organizing data for different models or analyses; and organized workflows and project management skills, • For candidates living in San Francisco / Bay Area, San Jose, New York City, or Seattle metros, the expected salary range for the role is currently $197,200 - $255,200., • For candidates living in Austin, TX or Washington DC metros or in California, Massachusetts, New Jersey, or Washington states, the expected salary range for the role is currently $177,700 - $229,900., • For candidates living in all other US locations, the expected salary range for this role is currently $167,500 - $216,700. Actual offered salaries will vary and will be based on various factors, such as calibrated job level, qualifications, skills, competencies, and proficiency for the role. #LI-Remote Thumbtack embraces diversity. We are proud to be an equal opportunity workplace and do not discriminate on the basis of sex, race, color, age, pregnancy, sexual orientation, gender identity or expression, religion, national origin, ancestry, citizenship, marital status, military or veteran status, genetic information, disability status, or any other characteristic protected by federal, provincial, state, or local law. We also will consider for employment qualified applicants with arrest and conviction records, consistent with applicable law. Thumbtack is committed to working with and providing reasonable accommodation to individuals with disabilities. If you would like to request a reasonable accommodation for a medical condition or disability during any part of the application process, please contact: ___. If you are a California resident, please review information regarding your rights under California privacy laws contained in Thumbtack’s Privacy policy available at ___. We put as much craftsmanship into candidate safety as we do into the hiring experience itself. While scammers may try to impersonate our team, we’ll never ask you for money, banking info, or SSNs during hiring. ___

We are seeking a Data Scientist to join their team. Our client, a trusted government contractor, is searching for a dedicated Data Scientist to support a high-impact U.S. Government project. This full-time role will provide technical expertise essential for maintaining mission-critical software and systems, contributing directly to the client's key objectives. Must Have's: • An active or reinstatable TS/SCI with Polygraph security clearance., • U.S. citizenship., • Strong software development skills., • Ability to work independently and collaboratively within a team., • Strong communication skills., • Experience in adversary defeat, mission management, metrics, and data visualization., • Proficiency in data compilation from multiple sources using computer scripting, statistical analysis, and data modeling., • Knowledge of large networks, telecom systems, and expertise in applying data science to interpret complex data sets. Location: Annapolis Junction, MD Salary: $50,000 to $120,000 Benefits: • Comprehensive CareFirst Medical, Dental, and Vision Coverage for employees and dependents., • Up to 25 days of Paid Time Off (PTO), with 40 hours carryover., • 11 Federal Holidays., • Flexible work-from-home options., • 401K with company contribution, fully vested from day one., • Opportunities for discretionary, certification, and sign-on bonuses., • Employee referral bonus program., • Annual professional development funding., • Fully covered life and disability insurance, with voluntary additional life insurance options., • Employee Assistance and Travel Protection Programs., • Financial planning assistance, bereavement, and jury duty leave.

Prominence Advisors is actively seeking a Senior Data Scientist to join our team. Who We Are Prominence is a healthcare and life sciences technology and consulting firm dedicated to helping leading organizations do more with their data. With deep expertise across the full ecosystem — spanning providers, payers, and life sciences — we turn complex data into actionable insight. We deliver a full spectrum of services, including advisory, analytics, optimization, and IT staffing. Our work helps organizations operate more efficiently, improve patient outcomes, and deliver measurable financial impact through smarter use of data. Recognized as a 2x Best in KLAS organization, we partner with more than 120 health systems and 40 life sciences organizations, including 7 of the top 10 U.S. News & World Report-ranked institutions. Through our life sciences brands, Tegra Analytics and WLH Consulting & Learning Solutions, we extend these capabilities to pharmaceutical and biotech organizations — combining data, consulting, and learning to advance commercial excellence. By connecting strategy, data, and execution, we help organizations translate data into clarity, strategy into action, and vision into measurable results. At our core, we are a people-first, values-driven organization that believes strong teams and trusted partnerships are what ultimately make healthcare and life sciences smarter. Job Summary Prominence is looking for a Senior Data Scientist with deep experience in applied machine learning, statistical modeling, and generative AI to help deliver advanced analytics solutions alongside some of the nation's leading healthcare providers. This role will design, build, and deploy models and AI-powered applications that help healthcare organizations improve patient outcomes, optimize operations, and accelerate research. Helping our customers harness the power of generative AI by building LLM-powered applications that unlock new possibilities for clinical and operational workflows. • Design, build, validate, and deploy machine learning models across the full data science lifecycle, including exploratory analysis, feature engineering, model development, validation, deployment, and monitoring., • Develop advanced analytics solutions for clinical prediction, population health, operational optimization, and research enablement., • Build AI-powered applications leveraging LLM APIs, prompt engineering, and RAG pipelines to support clinical and operational workflows., • Ability to work with diverse healthcare data sources including EHRs, claims, and clinical registries., • Translate complex analytical findings into meaningful, actionable insights for clinical and operational stakeholders., • Manage documentation of best practices and scalable frameworks that can be applied across client engagements., • 3–5+ years of professional experience in data science, machine learning, or a closely related quantitative role., • Strong proficiency in Python for data science (pandas, NumPy, scikit-learn) and SQL for data extraction and manipulation., • Hands-on experience building, validating, and deploying machine learning models (classification, regression, clustering, time-series forecasting)., • Experience with MLOps best practices (model versioning, CI/CD for ML, experiment tracking with MLflow or similar, continuous monitoring)., • Practical experience building AI-powered solutions using LLM APIs, prompt engineering, and RAG pipelines., • Experience with cloud-based data and ML platforms, including at least one of the following: AWS (SageMaker, Redshift, S3), Azure (Azure ML, Synapse, Data Factory), GCP (Vertex AI, BigQuery), Databricks, or Snowflake., • Strong communication skills with the ability to present technical findings to non-technical audiences. Desired Qualifications • Healthcare industry knowledge and experience including EHR data, claims, HL7/FHIR, clinical terminologies., • Experience with population health analytics, risk stratification, or social determinants of health., • Understanding of research enablement workflows including cohort identification, clinical trial matching, and outcomes research., • Experience with vector databases, embeddings, fine-tuning, or LLM evaluation frameworks., • Familiarity with data visualization and BI tools (Tableau, Power BI, or Looker)., • Revenue cycle, staffing optimization, or other operational analytics experience., • Advanced degree (Master's or PhD) in a quantitative field such as computer science, statistics, biostatistics, or a related discipline Skills, Knowledge, and Abilities • Professional: Demonstrates a high degree of professionalism by treating others with respect, keeping commitments, building trust within the team, working with integrity, and upholding organizational values ("Do Great Work and Move Mountains”)., • Organized: Capable of managing multi-faceted work streams efficiently, ensuring smooth project flow., • Self-Motivated: Adept at managing personal schedules, meeting deadlines, and monitoring work quality independently., • Highly Adaptable: Quickly acclimates to new project assignments and diverse work environments., • Creative: Approaches problems with a solution-oriented mindset, working collaboratively to find novel solutions., • Communication: Effectively conveys clear and concise messages that resonate with the intended audience, both in written and verbal forms., • Proactive: Anticipates potential issues, addresses concerns before they escalate, and effectively raises them when necessary., • Team-Oriented: Passionate about mentoring and guiding others, thrives in a team-based environment. Physical and Medical Standards, Working Conditions and Environment • Must be able to sit or stand at a computer and work remotely and independently from personal home office, • Willingness to travel for onsite meetings and business reviews as needed Hours Worked This is a Full Time, 40 hour per week position. This role is part of our active pipeline for upcoming client engagements and is contingent on project availability, with timing aligned to client demand. Prominence is dedicated to hiring the best and brightest minds in healthcare and maintaining a culture that rewards our employees for following their passion. We are excited to offer the following benefits for this position: • Competitive Salaried and Hybrid Compensation Plans, • Health Care Plan (Medical, HSAs, Dental & Vision), • Retirement Plan (401k), • Life Insurance (Basic, Voluntary & AD&D), • Dependent & Health Savings Accounts, • Short Term & Long Term Disability, • Paid Time Off (Vacation/Sick & Public Holidays), • Training & Development Fund, • Work From Home, • Charitable Giving to Causes You Believe In Must be legally authorized to work in the United States without sponsorship. The world’s most talented professionals come from every background. All applicants will be considered for employment without attention to age, race, color, religion, gender identity and/or expression, sexual orientation, national origin, marital status, veteran or disability status, or any other characteristic protected by law. In addition, Prominence will provide reasonable accommodations for qualified individuals with disabilities. If you are smart and good at what you do, come as you are. All qualified candidates are encouraged to apply. Our partnerships are extremely important to us. This online application is not intended for anyone who is currently under a non-compete agreement or has an arrangement that precludes employment at Prominence. We appreciate your help in respecting our partners. Interested in learning more? Apply below to connect with our Talent team about immediate openings and future consulting projects.

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).

Experience integrating research-grade artifacts into pre-existing code bases. 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 journ

We Breathe Life Into Data At Komodo Health, our mission is to reduce the global burden of disease. And we believe that smarter use of data is essential to this mission. That’s why we built the ___ — the industry’s largest, most complete, precise view of the U.S. healthcare system — by combining de-identified, real-world patient data with innovative algorithms and decades of clinical experience. The Healthcare Map serves as our foundation for a powerful suite of software applications, helping us answer healthcare’s most complex questions for our partners. Across the healthcare ecosystem, we’re helping our clients unlock critical insights to track detailed patient behaviors and treatment patterns, identify gaps in care, address unmet patient needs, and reduce the global burden of disease. As we pursue these goals, it remains essential to us that we stay grounded in our values: be awesome, seek growth, deliver “wow,” and enjoy the ride. At Komodo, you will be joining a team of ambitious, supportive Dragons with diverse backgrounds but a shared passion to deliver on our mission to reduce the burden of disease — and enjoy the journey along the way. The Opportunity at Komodo Health The Analytics Consulting team at Komodo Health specializes in providing advanced analytics solutions to healthcare organizations, leveraging real-world data to drive insights and decision-making. Our data scientists build analytics pipelines/tables and complex logic for projects that address customer needs. Looking back on your first 12 months at Komodo Health, you will have… • Delivered high-value data analytics projects., • Implemented client solutions using techniques like advanced statistical analysis or ML for targeted therapeutic areas in our patient population., • Developed a deep understanding of healthcare claims data., • Constructed complex statistical and mathematical models and developed supporting platforms for their use., • Effectively partnered with teams to translate client requirements into analytics to solve client needs with the capabilities of datasets available at Komodo., • Worked with the data science team to scale our solutions, automate code, and centralize complex logic for reusability. Advocated for good engineering practices within the team., • Presented findings, insights and analytical results to internal and external partners for client deliveries, as well as the larger DS function for continued growth and learning., • Worked with clients to creatively resolve issues and further develop analyses. You will accomplish these outcomes through the following responsibilities… * What you bring to Komodo Health (required): • Bachelor's degree (Master's or PhD degree preferred) in a quantitative field (e.g., Statistics, Mathematics, Engineering, Computer Science) or equivalent practical experience., • Analytical mindset and the ability to solve complex problems with limited supervision., • At least three years of industry experience working with Python and large-scale databases using SQL (data query, data cleaning, data transformation)., • Familiarity with PySpark and R., • Experience working with a large anonymized patient level healthcare databases (preferably administrative claims or EHR)., • Comfort communicating complex data science topics to audiences of variable technical capability., • Proficient with complex topics in ML modeling, advanced statistics/biostatistics, algorithm design and knowledge of ML software packages., • Ability to work well both independently and collaboratively in a fast-paced and demanding agile environment., • Interest in growing skills as a Data Scientist and being willing to learn and teach as part of a team., • Strong business acumen demonstrated by a good understanding of how analytics insights (preferably in healthcare analytics) tie into business goals., • High motivation, work ethic, and self-discipline to organize and complete tasks. Expectations of AI Use in this role (required): Judgement & Creativity: • Applies AI strategically, knowing how to use the right tools at the right time to solve problems or generate new ideas, • Uses AI to accelerate feedback loops, test ideas, and make informed decisions faster, • Applies both judgment and creativity when working with AI and understands its limitations Curiosity & Initiative: • Demonstrates curiosity and initiative in exploring new AI tools and workflows relevant to their role, • Has developed or shared AI-enhanced workflows, automations, or prompts with others Integration & Productivity: • Brings a reflexive AI mindset and uses AI as a natural part of their process to iterate, research, and deliver better work, • Comfortable working in AI-enhanced environments across writing, data analysis, content creation, or design, • Regularly leverages AI tools such as Notion AI, Perplexity, Claude, Descript, Runway, Midjourney, or Microsoft Copilot i.e. to improve speed, clarity, or creative output #LI-Remote The pay range for each job posting reflects a minimum and maximum range of annual base pay that we reasonably expect to pay for this position within the US. We carefully consider multiple business-related factors when determining compensation, including job-related skills, work experience, geographic work location, relevant training and certifications, business needs and market demands. The starting annual base pay for this role is listed below. This position may be eligible for performance-based bonuses as determined in the Company’s sole discretion and in accordance with a written agreement or plan. This role may also be eligible for equity awards. In addition, this role is eligible for benefits including, but not limited to, comprehensive health, dental, and vision insurance; flexible time off and holidays; 401(k) with company match; disability insurance and life insurance; and leaves of absence in accordance with applicable state and local laws and regulations and company policy. San Francisco Bay Area and New York City: $161,000 - $190,000 USD All Other US Locations: $140,000 - $175,000 USD Komodo's AI Standard At Komodo, we're not just witnessing the AI revolution – we're leading it. This is a pivotal moment in time, where being first to market with AI transforms industries and sets the bar. We've already established industry leadership in leveraging AI to revolutionize healthcare, and we expect every team member to contribute. AI here isn't optional; it's foundational. We expect you to integrate AI into your daily work – from summarizing documents to automating workflows and uncovering insights. This isn't just about efficiency; it's about making every moment more meaningful, building on trust in AI, and driving our collective success. Join us in shaping the future of healthcare intelligence. Where You’ll Work Komodo Health has a hybrid work model with hubs in San Francisco, New York City, and Chicago. Roles vary — some can be performed from anywhere in the country, others are scoped to a specific region, and some are based near one of our hubs. For hub-based Dragons, we're building intentional in-office rhythms alongside the flexibility that's core to how we work. Whatever your setup, expectations will always be clear before you join. Equal Opportunity Statement Komodo Health provides equal employment opportunities to all applicants and employees. We prohibit discrimination and harassment of any type with 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. By submitting your application, you acknowledge that you have read and understand Komodo Health’s ___. This notice explains how we collect, use, and retain applicant data.

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 looking for someone who can help us push both the research quality and production quality of our ML systems forward. We are hiring a Machine Learning Engineer Intern 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 $30/hour. This role sits at the intersection of ML research, software engineering, and MLOps. You will work on problems related to retrieval, context construction, model/tool orchestration, evaluation, monitoring, and the productionization of AI systems. This is a strong fit for someone who can move from experiments to production code and who wants to work on real product problems instead of isolated notebooks. What you’ll work on • Design and run experiments across areas such as retrieval, ranking, context construction, tool use, grounded generation, model evaluation, anomaly detection, forecasting, or optimization workflows, • Improve the quality, reliability, latency, and observability of ML and LLM-driven features, • Build reproducible evaluation workflows for model behavior, answer quality, grounding, failure analysis, and regression testing, • Help productionize research work through pipelines, APIs, services, monitoring, versioning, and deployment workflows, • Improve MLOps practices around experiment tracking, prompt/model versioning, dataset versioning, testing, rollout safety, and post-deployment monitoring, • At least one meaningful ML or LLM system is measurably improved in quality, reliability, or latency, • Research work is backed by reproducible evaluation and monitoring rather than one-off experimentation, • 3–4 years of relevant experience preferred through research labs, internships, startups, open-source work, or production ML systems, • Strong software engineering ability and strong comfort writing production-quality code, • Strong Python skills preferred, • Experience with machine learning experimentation, evaluation, and debugging preferred, • Experience with LLMs, retrieval systems, vector search, ranking, prompt/tool workflows, or agent-style systems preferred, • Experience with MLOps practices such as experiment tracking, versioning, model testing, deployment, and monitoring preferred, • Comfort with statistics, error analysis, benchmarking, and translating ambiguous research ideas into shippable systems, • Experience with PyTorch, Transformers, or modern ML tooling, • Experience with vector databases, RAG systems, or evaluation harnesses, • Experience with time-series forecasting, causal analysis, anomaly detection, or optimization systems, • Experience with Docker, Kubernetes, cloud infrastructure, or batch/orchestration systems We welcome applicants from all backgrounds and evaluate candidates based on technical depth, execution, communication, and fit for the role.

Healthcare in the U.S. is fundamentally broken. The system is so complex that 88% of U.S. adults do not have the health literacy necessary to navigate it without help. Solace cuts through the red tape of healthcare by pairing patients with expert advocates and giving them the tools to make better decisions—and get better outcomes. We're a Series C startup, founded in 2022 and backed by Inspired Capital, Craft Ventures, Torch Capital, Menlo Ventures, Signalfire, and IVP. Our U.S. based team is lean, mission-driven, and growing quickly. Solace isn't a place to coast. We're here to redefine healthcare—and that demands urgency, precision, and heart. If you're looking to stretch yourself, sharpen your edge, and do the best work of your life alongside a team that cares deeply, you're in the right place. We’re intense, and we like it that way. Read more in our Bloomberg funding announcement ___. At Solace, data isn't just about understanding the past; it's about predicting the future. We are a rapidly scaling startup where we work hard, move fast, and wear many hats. The Solace Data Team is looking for a Data Scientist who excels at forecasting, prediction, and machine learning to help us anticipate patient needs and optimize our operations. Reporting directly to the VP of Data, you will have the opportunity to lead high-impact projects that directly influence our strategic decision-making. In this role, you will go beyond descriptive analytics to build the predictive engines that drive our business. Whether you are forecasting operational volume, modeling patient risk, or designing rigorous A/B tests, you will bridge the gap between advanced statistics and practical business application, ensuring our models are robust, interpretable, and impactful. * Build Predictive Models: Develop and refine machine learning models to solve critical business problems, such as predicting patient churn, estimating operational volume, or scoring advocate quality. * Drive Forecasting Rigor: Own the development of time-series forecasts that guide our capacity planning and resource allocation. You will help us anticipate "what comes next" with higher accuracy. * Design & Analyze Experiments: Lead the design and analysis of A/B tests and causal inference studies. You will ensure we measure the true impact of our product and operational changes. * Uncover Deep Insights: Apply advanced statistical methods to complex datasets to find patterns that simple reporting might miss. You will answer the "why" and "how" behind our most difficult questions. * Productionize Solutions: Work closely with Data Engineers to take your models from a local notebook to a production environment, ensuring they run reliably within our data infrastructure. * Communicate Complexity: Translate complex statistical findings into clear, actionable narratives for non-technical stakeholders. You will be the voice of statistical reason in strategic discussions. * Statistical Expertise: You have a strong background in statistics, probability, and mathematics (e.g., hypothesis testing, regression analysis, time-series forecasting). * Python & ML Proficiency: You are fluent in Python and its data science ecosystem (pandas, scikit-learn, statsmodels, NumPy). You write clean, reproducible code. * Forecasting Experience: You have hands-on experience with time-series analysis and forecasting techniques (e.g., ARIMA, Prophet, exponential smoothing). * Advanced SQL: You can write complex queries to wrangle your own data from Snowflake without relying solely on others to prepare it for you. * Preferred Masters Degree or PHD: Data Science, Applied Science, or related fields. * Data Privacy Awareness: You understand the importance of protecting patient data. You are familiar with best practices for handling PHI and PII and ensuring privacy in your analysis. * Startup DNA: You are a self-starter who is comfortable with ambiguity. You take ownership of problems and are willing to wear many hats to get the job done. * Deployment Experience: Experience using tools like Docker, Airflow, or MLflow to deploy and monitor models in production. * Healthcare Experience: Experience working with healthcare or insurance claims data is a plus. * NLP & Unstructured Data: Experience applying Natural Language Processing (NLP) techniques to extract insights from unstructured text data. * Marketplace Matching: Experience designing matching algorithms or ranking systems for two-sided marketplaces. * dbt & Engineering Skills: Comfort reading or writing dbt models to understand the lineage of your data. Applicants must be based in the United States. Up for the Challenge? We look forward to meeting you. Fraudulent Recruitment Advisory: Solace Health will NEVER request bank details or offer employment without an interview. All legitimate communications come from official solace.health emails only or ___. Report suspicious activity to or .

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

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! 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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, • Meaningful product features are shipped to a high standard, • Core backend code is cleaner, better tested, and easier to extend, • 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, • 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 We welcome applicants from all backgrounds and evaluate candidates based on skills, execution, communication, and fit for the role.

When you're the best, we're the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves. We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future. Summary: In this role, you will develop automated analytics products and conduct sophisticated data analysis to address critical business and client questions. You will design, implement, and deploy advanced data science solutions across multiple domains, translating complex findings into actionable insights that improve clinical, operational, and economic outcomes. You will guide data scientists, lead the design of predictive, machine learning, and generative AI approaches, and ensure high-quality, scalable analytic solutions that support organizational objectives. Responsibilities: • Lead the design and implementation of advanced machine learning, generative AI, statistical modeling, and unsupervised learning approaches across structured and unstructured data., • Build and deploy scalable, automated data science products and reusable analytic assets across multiple projects and domains., • Analyze large-scale, high-dimensional datasets using Python, R, SQL, and distributed computing platforms to identify trends and actionable insights., • Apply deep expertise across end-to-end data science workflows, including data discovery, feature engineering, validation, and insight publishing., • Translate complex analytical outputs into clear dashboards, reports, and presentations for technical and non-technical audiences., • Make key analytic and architectural design decisions, define project goals based on strategic business needs, and own final solution outcomes., • Apply expert-level proficiency in programming languages and advanced analytics platforms, including cloud-based and distributed frameworks., • Lead code development and reviews, establish best practices, and mentor data scientists in advanced modeling and responsible AI usage., • Evaluate and adopt emerging tools, advanced frameworks, and generative AI technologies to continuously enhance analytical capabilities and workflows., • Partner with engineering and platform teams to support production deployment, monitoring, and lifecycle management of machine learning and generative AI models., • Implement responsible AI and model governance practices, including documentation, explainability, bias assessment, and validation standards., • Collaborate with cross-functional teams to integrate advanced analytics and AI solutions into products, workflows, and business processes., • Apply a solutions-oriented mindset to complex, multi-project initiatives and make autonomous decisions on data science deliverables aligned with enterprise objectives. Qualifications: • Relevant degree preferred. Advanced degree in applied mathematics, statistics, computer science, econometrics, or a related field is a plus., • 7 or more years of relevant experience required., • Proven ability to apply advanced modeling, forecasting, anomaly detection, and natural language processing required., • Demonstrated advanced knowledge of data science methodologies, statistical modeling, machine learning, and generative AI techniques required., • Strong understanding of Natural Language Processing (NLP) techniques, including text classification, sentiment analysis, information extraction, and Large Language Model (LLM)-based approaches required., • Expertise in programming languages such as Python, R, SAS, SQL, or similar tools required., • Knowledge of responsible AI principles, including model explainability, bias detection, fairness assessment, and ethical use of data., • Experience deploying, monitoring, and maintaining machine learning and generative AI models in production environments., • Experience implementing model governance practices such as documentation standards, version control, validation protocols, and audit readiness., • Experience working with cloud-based and distributed data platforms and modern analytics frameworks such as Databricks., • Strong analytical, problem-solving, communication, and presentation skills with the ability to convey complex concepts to non-technical audiences., • Experience guiding or mentoring data scientists. #LI-JB1 Estimated Hiring Range: At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances. The current salary range for this role is $117,600.00 to $206,000.00. This position is also incentive eligible. Vizient has a comprehensive benefits plan! Please view our benefits here: Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.

Data Science experience working with large-scale data and statistical analysis, including. Senior Data Scientist, Fraud Prevention,. Analyze large, complex datasets to identify abuse patterns, fraud signals, and harmful behavior trends.

You will collaborate with cross-functional teams of engineers, research scientists, product managers, and tech leads to ensure that we are making product and technology decisions grounded in data.

Role: Data Scientist – Machine Learning Focus (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Adidev Technologies Inc Adidev Technologies is seeking 2 yrs of relevant experience in Data Science. A project can last anywhere from 6 months to 18 months. Salary varies depending on experience, and we are in search of candidates looking to start as soon as possible. Excellent written and oral communication are required as is the ability to work well in a team environment. If you are looking for a new challenge and are ready to make an impact on a growing team, then this will be a perfect fit. As a Data Scientist / Data Analyst / Data Science Specialist for Adidev Technologies Inc., you will be enhancing and debugging large-scale applications for one of our well-known clients. Job Description • Demonstrated experience using machine learning, deep learning, statistical methodology, and simulation/optimization modeling in geospatial, network topography, recommendation-systems, environmental systems and/or agronomic problems., • Strong foundation in Python programming in a cloud environment., • Strong quantitative abilities, distinctive problem-solving, and excellent analysis skills, • Expertise in data wrangling using SQL,, • Practical knowledge and experience with cloud-computing systems and platforms, including the routine deployment of pipelines through Kubernetes, • Fluency in querying/extracting/aggregating data via SQL scripting., • Extract, load and transform data (ETL) from structured and unstructured sources, • Apply Natural Language Processing and Computer Vision to solve business use cases,, • Strong skills in scientific data analyses, modeling, visualization and communication of results., • Knowledge of Python libraries (NumPy, Pandas, SciKit-Learn, TensorFlow, PyTorch), Spacy, MongoDB, PostgreSQL, Flask, streamlet and a good knowledge of data pipelines construction Must have • Understanding of various machine learning algorithms (e.g. SVM, Random Forests, Gradient Boosting, Log-Log regression, XGBoost, Lasso, Ridge, Clustering techniques, Neural Networks and others), • Regression (e.g. ? Linear/Logistic/MNL/Mixed Effects/Regularization), • Classification (K-means, Hierarchical, Latent Class, DBScan, SVM), • Dimension Reduction techniques (Principal Component analysis, Singular Value Decomposition etc.), • Optimization (Linear programming, Stochastic Gradient Descent, Genetic Algorithm etc.), • Experience with neural network approaches to text classification CNN, RNN, LSTM,Keras, • Machine Learning algorithms? Neural Networks, Naïve Bayes, Bagging & Boosting, Random Forest, • Distributed computing tools and cloud technology (AWS) Benefits * Competitive Salary * Paid Relocation * Remote Support * Guaranteed Regular Salary Reviews * Job Type: W2 or Contract 1099 (full-time - 40 hours). 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

Join us on the journey to get to net zero At Carbon Direct, we dedicate our scientific, software, and business expertise to empower organizations around the world to take climate action. Our Mission Enable organizations to reduce, remove, and utilize their emissions with carbon science We are a purpose-driven carbon management firm dedicated to helping organizations around the world reach their climate goals. We make carbon science accessible and actionable with our end-to-end platform. Global citizens with global impact Whether a scientist, developer, or carbon markets expert, we are united by our mission to take climate action now. We are experts in our fields and we act with confidence. Located across 4 countries and in states all across the U.S., we offer both remote-friendly work options and dynamic, in-person experiences with offices located in Seattle, WA, Oakland, CA, and NYC. Diverse backgrounds bring diverse perspectives We recognize that teams with diverse backgrounds and different experiences are powerful. Bringing together a variety of perspectives only enhances how we can effectively address the climate crisis. Together, we are creating an environment where everyone is celebrated and anyone can succeed. Overview Carbon Direct is seeking a highly skilled and motivated Hybrid Decarbonization Scientist to join our team. In this role, you will be responsible for supporting deep diligences and conducting scientific assessments of decarbonization technologies, strategies, and projects. You will play a critical role in ensuring the scientific rigor and integrity of our advisory services, working closely with clients to evaluate solutions that effectively reduce greenhouse gas emissions. A significant part of this role involves translating deep expertise in Bioenergy with Carbon Capture and Storage (BECCS), biomass with carbon removal and storage (BiCRS), and biochar projects into recommendations for a range of clients. Responsibilities • Support comprehensive scientific evaluations of hybrid decarbonization technologies and strategies, including BECCS, BiCRS, and biochar., • Perform in-depth technical and operational due diligence on decarbonization projects and initiatives to assess feasibility, risks, and potential impact., • Conduct life cycle assessments (LCAs) to evaluate the environmental performance and carbon accounting of decarbonization projects, ensuring methodological rigor and alignment with industry standards., • Apply expertise in sustainable biomass sourcing principles and supply chain considerations to evaluate feedstock viability and environmental integrity for relevant projects., • Develop and maintain a deep understanding of the latest advancements in climate science, technology, and policy relevant to decarbonization efforts., • Collaborate with cross-functional teams, including engineers, economists, and policy experts, to integrate scientific insights into client recommendations and strategies., • Prepare detailed reports, presentations, and technical documents to communicate findings and recommendations to clients and stakeholders., • Stay abreast of emerging trends and developments in the field of decarbonization, participating in conferences, workshops, and professional networks to continuously enhance expertise. Qualifications • Proven experience in conducting scientific research and assessments in the field of decarbonization, with a strong track record of published or disseminated work., • Ph.D. or Master’s degree in a relevant field such as Environmental Science, Climate Science, Engineering, or a related discipline (not required, but nice to have)., • Extensive knowledge of decarbonization technologies and strategies, including their technical, economic, and environmental aspects., • Ability to effectively interface with external clients and internal stakeholders, providing excellent, responsive service, • Specific expertise in BECCS and biochar projects, including their development, implementation, and assessment., • Strong analytical and problem-solving skills, with the ability to conduct rigorous technical and financial evaluations., • Excellent communication skills, both written and verbal, with the ability to effectively convey complex scientific concepts to diverse audiences., • Demonstrated ability to work collaboratively in a multidisciplinary team environment., • Proficiency in relevant software and tools for data analysis, modeling, and simulation., • Commitment to staying current with industry trends, scientific advancements, and best practices in decarbonization., • Experience in consulting or advisory roles, particularly in the climate or environmental sectors., • Project management skills, with the ability to manage multiple projects and priorities effectively. Salary Range $133,000-$163,000 a year Benefits While we love our work, our lives aren’t defined by it. At Carbon Direct, we offer a robust benefits package that considers the whole person, their partners, and their families – and we’re always looking to improve. Our U.S. benefits* include: • Comprehensive nationwide medical, dental, and vision coverage. ___., • Time off as needed: Flexible vacation policy and ten company-wide holidays, plus annual winter break between Christmas and New Year's, • 16 weeks of fully paid parental and family leave with no tenure requirement, • Remote-friendly work culture with annual company-wide retreats, • Reimbursement for your work-from-home setup and monthly work-from-home stipend *Please note that the benefits described apply to ___ employees only. For our international employees, our benefits package varies by each country and its statutory requirements. Equal Opportunity Employer Carbon Direct is an equal opportunity employer and does not discriminate on the basis of race, color, gender, religion, age, sexual orientation, national or ethnic origin, disability, marital status, veteran status, or any other occupationally irrelevant criteria. We adhere rigorously to our equal employment opportunity policies in connection with all employment decisions, including hiring, compensation and promotion.

We're looking for a Data Scientist to partner with product, engineering, and design teams to answer key questions about how to grow revenue, optimize product, scale and monetize the business, and launch high-impact initiatives. We solve challenging problems and boost business growth through a deep understanding of user behaviors with applied analytics techniques and business insights. An ideal candidate should have robust knowledge of consumer lifecycle and behavior analysis, customer segmentation, digital campaigns, monetization analytics and business operations for a SaaS company. • Develop a deep understanding of customer journey phases and key business metrics, • Perform analytical deep-dives to analyze problems and opportunities, identify the hypothesis and design & execute experiments, • Inform future experimentation design and roadmaps by performing exploratory analysis to understand user engagement behavior and derive insights, • Create personalized segmentation strategies leveraging propensity models to enable targeting of offers and experiences based on user attributes, • Identify key trends and build automated reporting & executive-facing dashboards to track the progress of acquisition, monetization, and engagement trends., • Extract actionable insights through analyzing large, complex, multi-dimensional customer behavior data sets, • Monitor and analyze a high volume of experiments designed to optimize the product for user experience and revenue & promote best practices for multivariate experiments, • Translate complex concepts into implications for the business via excellent communication skills, both verbal and written, • Understand what matters most and prioritize ruthlessly, • Work with cross-functional teams (including Data Science, Marketing, Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate, • Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field, • 3-5 years experience using analytics to drive key business decisions; examples include business/product/marketing analytics, business intelligence, strategy consulting, • Proven track record of being able to work independently and proactively engage with business stakeholders with minimal direction, • Significant experience with SQL and large unstructured datasets such as Hadoop, • Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees, • Solid background in running multivariate experiments to optimize a product or revenue flow, • Strong verbal and written communication skills, • Proficiency in programming/scripting and knowledge of statistical packages like R or Python is a plus, • Product analytics experience in a SAAS company, • Masters’ or above in a quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field US Zone 1 This role is not available in Zone 1 US Zone 2 $149,200 - $201,800 USD US Zone 3 $132,600 - $179,400 USD

At Pathway we are shaking the foundations of artificial intelligence by introducing the world’s first post-transformer model that adapts and thinks just like humans. Our breakthrough architecture outperforms Transformer and provides the enterprise with full visibility into how the model works. Combining the foundational model with the fastest data processing engine on the market, Pathway enables enterprises to move beyond incremental optimization and toward truly contextualized, experience-driven intelligence. We are trusted by organizations such as NATO, La Poste, and Formula 1 racing teams. Pathway is led by co-founder & CEO Zuzanna Stamirowska, a complexity scientist who created a team consisting of AI pioneers, including CTO Jan Chorowski who was the first person to apply Attention to speech and worked with Nobel laureate Geoff Hinton at Google Brain, as well as CSO Adrian Kosowski, a leading computer scientist and quantum physicist who obtained his PhD at the age of 20. The company is backed by leading investors and advisors, including Lukasz Kaiser, co-author of the Transformer (“the T” in ChatGPT) and a key researcher behind OpenAI’s reasoning models. Pathway is headquartered in Palo Alto, California. We are currently searching for 2 ML/AI Engineers with a solid software engineering backbone who are able to prototype, evaluate, improve, and productionize end-to-end Machine Learning projects with enterprise data. For representative examples of the type of projects you would be expected to create or deliver, see our ___. If you would consider it would be fun to create a hybrid Vector/Graph index that beats the state of the art on a RAG benchmark, to deliver a working AI pipeline to a client in a critical industry, or to pre-process datasets in a way which would boost LLM accuracy in inference & training - this is the job for you! • help design experimental end-to-end ML/AI pipelines, • contribute to addressing new use cases, beyond state of the art, • improve/adapt AI pipelines for production, working directly with client data (often live data streams), • invent ways to pre-process data sources and perform tweaks (reranking, model paramater configuration...) for optimal performance of AI pipelines., • design benchmark tasks and perform experiments., • build unit tests and implement model monitoring., • contribute high-quality production code to our developer frameworks, used by thousands of developers., • help to pre-process data sets for LLM training. The results of your work will play a crucial role in the success of both our developer offering and client delivery. It's always a pleasure to say hi! If you could leave us 2-3 lines, we'd really appreciate that. • A graduate of a 4+-year university degree in Computer Science, where you have received A-grades in both foundational courses (Algorithms, Computational Complexity, Graph Theory,...) and Machine Learning courses., • Passionate about delivering high-quality code and solutions that work., • Good with data & engineering innovation in practice - you know how to put things together so that they don't blow up., • Experienced at hands-on Machine Learning / Data Science work in the Python stack (notebooks, etc.)., • Experienced with model monitoring, git, build systems, and CI/CD., • Respectful of others, • Curious of new technology - an avid reader of HN, arXiv feeds, AI digests, ..., • Fluent in English, • Successful track-record in algorithms (ICPC / IOI), data science contests (Kaggle), or a HuggingFace leaderboard., • Showing a code portfolio., • PhD in Computer Science., • Authoring a paper at major Machine Learning conference., • You like playing/tinkering with new tools in the LLM stack., • You are already a part of the Pathway community, or have been recognized for your work in one of our bootcamps., • Join an intellectually stimulating work environment., • Be a technology innovator that makes a difference: your code gets delivered to a community of thousands of developers, and to clients processing billions of records of data., • Work in one of the hottest AI startups, that believes in impactful research and foundational changes., • Type of contract: Full-time, permanent, • Preferable joining date: January 2025. The positions are open until filled – please apply immediately., • Compensation: competitive base salary (80th to 99th percentile) based on profile and location + Employee Stock Option Plan + possible bonuses if working on client projects. The stated lower band of EUR 72k/ USD 75k for the salary base concerns senior candidates; mid-senior or mid candidates may be considered with adapted salary bands.

Job Description Position Details: Industry: Information Technology Position: Data Scientist Duration: 12 Months of Contract (Renewable) Location: Dallas, TX (Onsite) Skills Required: Minimum of ten (10) years of data experience in any combination of the following: Working with data warehouses and/or big data sets Working with database management systems Implementing data models, universes and data warehouses. Working with IT healthcare database support. Developing, executing, and tuning Structured Query Language (SQL) queries Data visualization, dash boarding, and business intelligence development. SAP HANA, Oracle, MS SQL and/or Hadoop administration Prefer previous experience within a clinical unit of a healthcare organization.

We're the AI Center of Excellence within the Chief Data and Analytics Office. We work on projects that enable AI practitioners build AI products quickly and confidently. We work on many open problems around AI safety and evaluations. One way that we do so is by finding vulnerabilities in Gen AI applications with an automated adversarial testing service. We're looking for people who are technically sharp and effective communicators to help design and deploy this service.\n\nThis role leads and executes deep dive diagnostic, predictive, and prescriptive analytics to support data-driven business decision making, while mentoring junior data scientists and analysts, and applying advanced data science and big data mining techniques to uncover trends, inform strategic initiatives, and drive innovation across diverse business functions. Responsibilities: * Develops complex queries and performs extensive programming to access, transform, and prepare data for statistical modeling. * Leads and executes deep dive diagnostic, predictive, and prescriptive analytics to support data-driven business decision making. Mentors and develops junior data scientists and analysts. * Identifies and diagnoses data inconsistencies and errors, documents data assumptions, and forages to fill data gaps. * Engages with internal stakeholders to understand and probe business processes in order to develop hypotheses. Brings structure to requests and translates requirements into an analytic approach. * Guides test design, research design, and model validation. Provides statistical consultation services. Serves as the analytics expert on cross functional teams for large strategic initiatives and contributes to the growth of the Vanguard analytic community. * Prepares and delivers insight presentations and action recommendations. Communicates complex analytical findings and implications to business leaders. * Participates in special projects and performs other duties as assigned. * Designs scalable data mining models and reporting protocols to identify trends and patterns in massive datasets. * Applies modern and emerging data science techniques to solve business problems across functions such as marketing, economics, and operations. * Contributes to the advancement of analytics through exploratory research and application of cutting-edge statistical theory. Qualifications: * Minimum 5 years of experience in data science, predictive analytics, or advanced statistical modeling roles * Expertise in programming with Python, R, or SQL; hands-on experience with machine learning libraries (e.g., Scikit-learn, TensorFlow); strong understanding of data pipelines, data wrangling, and statistical techniques; experience in big data environments (Spark/Hadoop); familiarity with visualization tools like Tableau or Power BI * Bachelor’s degree in Analytics, Applied Mathematics, Economics, Statistics, or Computer Science, or a Master’s degree/Diploma in a related quantitative field Special Factors Sponsorship Vanguard is not offering visa sponsorship for this position. About Vanguard At Vanguard, we don't just have a mission—we're on a mission. To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best. How We Work Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

About this role In Gartner's Services Data Science team, we innovate the way our team helps clients receive value, so technology leaders will be able to make smarter decisions in a different way. We are searching for a talented data scientist to join our team. You will have access to the best facilities, technology and expertise within the industry and will work on challenging business problems. This is an excellent opportunity to be part of a new venture, in a start-up environment where you can truly develop your skill set and knowledge and bring impact to the team. What you'll do • Designing and implementing state of the art Large Language Model (LLM) based agents that seamlessly synthesize complex information and initiate important actions in a business workflow., • Using advanced Generative AI techniques deriving actionable insights from unstructured text data, such as call transcripts and emails., • Predicting client interest basis their digital footprint and making relevant recommendations to drive higher client value delivery, • Leverage statistical and machine learning techniques to extract actionable insights from client retention data., • Develop customer churn prediction models that proactively identify at-risk clients,, • Build tools to process structured and unstructured data, • Engineering features and signals to train ML model from diverse data collection What you'll need • BS required/ MS/ preferred; in Computer Science or other technology, Math, Physics, Statistics or Economics (focus on Natural Language Processing, Information Retrieval a plus), • 4 years' experience in data science methodologies as applied to live initiatives or software development// Experience working with Gen AI projects, • Minimum 4+ years of experience in python coding and statistical analysis, • Minimum 2 years working experience in several of the following: o Prompt Engineering and working with LLMs o Machine Learning and statistical techniques o Data mining and recommendation systems o Natural Language Processing and Information Retrieval o Experience working with large volumes of data o User behavior modeling Who you are • A team player. You get along well with your colleagues and are always ready to help get things done. You enjoy working on projects with multiple people and share knowledge., • Passionate about learning. You thrive on complex technical challenges and are always eager to learn the latest technologies., • Organized and detailed-oriented. You think ahead of time about how best to implement new features, and your code is clean, well-organized and properly documented., • Innovative. You are always proactively looking for opportunities to problem solve using innovative methods that impact the business What we offer • A collaborative, positive culture. You'll work with people who are as enthusiastic, smart and driven as you are. You'll be managed by the best too., • Limitless growth and learning opportunities. We offer the excitement of a fast-paced entrepreneurial workplace and the professional growth opportunities of an established global organization. About Gartner: Gartner, Inc. (NYSE: IT) is the world's leading information technology research and advisory company. We deliver the technology-related insight necessary for our clients to make the right decisions, every day. We work with every client to research, analyze and interpret the business of IT within the context of their individual role. Founded in 1979, Gartner is headquartered in Stamford, Connecticut, U.S.A - Visit gartner.com to learn more. Diversity, inclusion and engagement at Gartner: The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, caste, creed, religion, sex, sexual orientation, gender identity or expression, marital status, citizenship status, age, national origin, ancestry, disability, or any other characteristic protected by applicable law. Gartner affirmatively seeks to advance the principles of equal employment opportunity and values diversity and inclusion. Gartner is an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified applicant with a disability and unable to or limited in your ability to use or access the Gartner's career webpage as a result of your disability, you may request reasonable accommodations by calling Human Resources at +1203-964-0096 or by sending an email to ___ #LI-Hybrid #LI-GV1 Who are we? At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world. Our mission relies on expert analysis and bold ideas to deliver actionable, objective business and technology insights, helping enterprise leaders and their teams succeed with their mission-critical priorities. Since our founding in 1979, we've grown to 20,000 associates globally who support over 13,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That's why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here. What makes Gartner a great place to work? Our vast, virtually untapped market potential offers limitless opportunities - opportunities that may not even exist right now - for you to grow professionally and flourish personally. How far you go is driven by your passion and performance. We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients. Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations. We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work. Gartner is the world authority on AI At Gartner, you'll join a company at the very center of the AI revolution. Gartner has proactive, objective guidance throughout clients' AI journeys. We set the standard for how organizations leverage artificial intelligence to drive meaningful impact. You'll have access to unmatched resources, expertise, and technology, and play a key role in helping Gartner and our clients innovate and grow as we leverage AI to transform business and technology landscapes. It's an exciting time to be at Gartner, with limitless opportunities to make a real impact, grow your skills, and build a lasting, meaningful career in a field that's reshaping the way we operate. If you're passionate about AI and want to be part of a team that's guiding the leaders who shape the world, Gartner is the place for you. What do we offer? Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers. In our hybrid work environment, we provide the flexibility and support for you to thrive - working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring. Ready to grow your career with Gartner? Join us. Gartner believes in fair and equitable pay. A reasonable estimate of the base salary range for this role is 98,000 USD - 133,000 USD. Please note that actual salaries may vary within the range, or be above or below the range, based on factors including, but not limited to, education, training, experience, professional achievement, business need, and location. In addition to base salary, employees will participate in either an annual bonus plan based on company and individual performance, or a role-based, uncapped sales incentive plan. Our talent acquisition team will provide the specific opportunity on our bonus or incentive programs to eligible candidates. We also offer market leading benefit programs including generous PTO, a 401k match up to $7,200 per year, the opportunity to purchase company stock at a discount, and more. The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to seek to advance the principles of equal employment opportunity. Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company's career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at +1 (203) 964-0096 or by sending an email to___. Job Requisition ID:106172 By submitting your information and application, you confirm that you have read and agree to the country or regional recruitment notice linked below applicable to your place of residence. Gartner Applicant Privacy Link: ___ For efficient navigation through the application, please only use the back button within the application, not the back arrow within your browser.

We are Builders FirstSource, America's largest supplier of building materials, value-added components and building services to the professional market. You'll feel proud of the work you do here every day to transform the future of home building and help make the dream of home ownership more achievable. At BFS, we believe building a successful career is not solely defined by a degree. Your experience, skills, and passion are just as important, if not more so. As such, we are committed to creating a diverse and inclusive workplace that welcomes candidates from all backgrounds and experience levels. PURPOSE Manager, IT- Data Engineering role is focused on the core areas of: • Development activities involving projects, enhancements, defects., • Day-to-day operations to ensure business continuity, which also involves managing nightly support for ETL runs., • Team building and performance management involving a team of data engineers., • Lead and manage the team through the transition to cloud based future data platform. This role will be responsible for intimately overseeing data engineering activities related to development (SDLC) and release management. These responsibilities require deep understanding of data design and solutioning and architecture. This role will also drive day-to-day maintenance and upkeep of existing code base and ETL solutions and managing resources who provide nightly support for ETL runs. Finally, Manager IT - Data Engineering will be accountable for continuing performance management, delegation of tasks and accountability, mentorship, and growth of data engineering resources on the team. One key function of this role is liaising with downstream consumers of our data system as well as other technical teams who are either upstream (ERP source systems), downstream (consumer applications, reporting team, business analytics team) or simply provide underlying platform services(infrastructure) to Data Engineering practice. This role is expected to have deep understanding of the various technical aspects of data systems like Data Lake, Operational Datastore, Data Marts and Warehouses as well as hands on familiarity with ERP data topics (customer, sales and invoicing, supplier etc.). Having hands-on experience with cloud-based systems and technologies like Azure Subscriptions, Azure Databricks, Azure DevOps CICD in terms of development and day-to-day operations is critical to function in this role. Any exposure to Terraform is highly desirable. Azure and Databricks Certifications are highly desirable. ESSENTIAL DUTIES AND RESPONSIBILITIES • Leads small group of Data Engineers, follows defined operating model and framework to guide team's processes., • Defines scope for project and program opportunities and creates project plans, including resource needs and timelines., • Accountable for delivery and execution of defined deliverables., • Partners with senior team members on day-to-day operations including staffing and tracking project status; course corrects for shifting priorities., • Leverages expertise to solve a range of strategic business problems through dynamic and complex analysis., • Ensures data quality through proactive monitoring and review of security policies, governance, and data sovereignty., • Manages the development, improvement and scaling of appropriate data architecture and pipelines to store, analyze and process high volume data sets., • Collaborates with data scientist(s) to resolve business problems and recommend optimal data sources, methodologies, and analytic tools., • Oversees writing of functional clean code and performs unit testing., • Manages team in design of reporting and visualization tools for communicating data insights to organization/clients., • Influences, persuades, and negotiates with mid to senior level management for successful implementation of data initiatives, prioritization, and resources allocation. SUPERVISORY RESPONSIBILITIES This job has supervisory responsibilities, including but not limited to: supervises assigned team members (in-person and remote); talent selection and training; planning, assigning, and directing work; performance management, including conducting performance reviews; recognizing team members; addressing and resolve concerns timely, escalating for help when necessary. MINIMUM REQUIREMENTS To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. • Hands on expertise in Data systems (Data Lake, ODS, Data Marts, MDM) and attendant technology stack, involving RDBMS systems (SQL Server), ETL tools (SSIS), reporting tools (Power BI), File shares., • Hands on experience with developing and managing cloud-based data platforms, on Azure leveraging key technologies like Azure Data Factory, Azure Databricks, Azure SQL, Azure DevOps CICD, Terraform., • Hands on experience working with Azure DevOps and Jira boards and running agile standups and Kanban boards., • Deep experience overseeing SDLC and release management processes and good documentation practices., • People management skills like mentorship, guidance, performance management, upskilling, conflict resolution, delegation of tasks and overseeing the progress to completion. Being able to select talent and conduct interviews to find right fit for the role., • Experience organizing effective ETL night support function for business continuity. Acting as escalation point for after business hours and weekend emergencies., • Ability to cultivate and effectively manage relationships with external and internal teams, downstream and upstream from Data Engineering practice., • Great written and oral communication skills. Be able to create technical and business collateral like power points and architecture diagrams., • Project management skills for coming up with accurate and realistic timelines and level of effort for effective resource utilization for projects, enhancements, and defect resolutions., • Familiarity with ERP systems and underlying data topics spanning Customer, Products, Sales and Invoicing, Orders, Employee, SalesRep etc., • Experience with SAP Basis is highly desirable., • Ability to act as a stand in Techlead and provide solutioning and architectural guidance., • Relevant certifications on Azure and/or Databricks ecosystem., • Bachelor's degree from an accredited college/university., • 7+ years relevant work experience., • Or an equivalent combination of education and experience. COMPETENCIES • Evaluates Problems: Evaluates and analyzes different types of information objectively to identify appropriate solutions; writes fluently, establishing the key facts clearly and interprets numerical data effectively., • Technical Communication/ Presentation: Communicates with clarity and precision, presenting complex information in a concise format that is audience appropriate., • Adjusting and Driving Change: Takes a positive approach to tackling work and embraces change; invites feedback relating to performance and deals constructively with criticism. Identifies the need for and drives change when required to achieve objectives., • Focuses on Customers: Understands and anticipates customer needs and takes action to provide high-quality products and services to exceed expectations., • Demonstrates Business Acumen: Demonstrates working knowledge of market, economic, legal, and regulatory environments and how they impact the business., • Agile Best Practices: Understands how agility is leveraged in IT ways of working. Adopts agile best practices as appropriate throughout the assigned work lifecycle. Responds to feedback quickly based on comments of internal and external customers and needs of the market., • Bias for Action: Takes initiative and identifies what needs to be done and acts without waiting to be asked. Executes work in a timely manner. Suggests improvements to current ways of working., • Provides Leadership: Makes decisions and takes responsibility; directs and leads others even in ambiguous circumstances, coordinating activities; provides encouragement and inspiration to help others succeed., • Builds Effective Teams: Builds high performing teams by integrating a diversity of skills and personalities and creating a deep sense of accountability and shared purpose., • Develops Talent: Focuses on developing, coaching, and mentoring talent to improve individual and organizational performance. Contributes to building talent that the industry, market, and BFS needs., • Manages Stakeholders: Builds relationships and takes account of the needs of multiple stakeholders to influence and drive decisions for beneficial business outcomes., • Drives Success: Takes action, initiates activity and seizes opportunities for new business; pursues goals with persistence and achieves outstanding results. BFS COMPETENCIES • Business and Financial Acumen, • Demonstrates depth of understanding for the P&L and financial analysis, • Teaches business and financial acumen to others., • Understands KPIs and how BFS makes money., • Knows the different business segments and how they relate to one another., • Understands customer sales and engagement., • Demonstrates functional and/or technical expertise., • Understands complex issues and demonstrates problem solving skills., • Understands how to maximize business results regardless of industry cycle., • Results Driven, • Holds self and others accountable., • Communicates and sets clear goals with plans to deliver., • Manages competing priorities effectively., • Demonstrates appropriate urgency., • Drives to exceed expectations in alignment with our BFS SPICE values., • Embraces and follows best practices., • Demonstrates self-starter, can-do attitude., • Strategic Thinking and Decision Making, • Leverages resources and teams around them to solve problems and create mutually beneficial outcomes., • Demonstrates willingness and courage to make tough decisions in a timely manner., • Balances short-and-long term priorities, • Demonstrates proactive versus reactive thinking., • Asks questions to identify root cause and analyze situations more accurately., • Servant Leadership, • Demonstrates humility by putting others first., • Builds trust-based relationships., • Leads by example with kindness and respect., • Collaborates well across all areas of the business., • Advocates for others, • Actively listens to understand the meaning and intent of what the other person is communicating., • Demonstrates authenticity and encourages others to do the same., • Emotional Intelligence, • Demonstrates situational awareness - knows when and how to adjust leadership style in different situations., • Demonstrates self-awareness - understands strengths and weaknesses., • Demonstrates empathy - puts themselves in other's shoes., • Assumes positive intent., • Develops and Leads Others, • Drives alignment through clear communication of vision, goals, and expectations., • Invests time on a regular basis in performance feedback and developmental conversations., • Fosters a respectful and inclusive environment., • Empowers, motivates, and inspires others., • Coaches and mentor others for their development., • Guides and persuades others to deliver positive outcomes., • Growth Mindset, • Demonstrates a growth mindset; takes appropriate risks, fails fast and forward, learns from mistakes., • Perseveres and champions growth, even in the face of resistance, ambiguity, or possible failure., • Thinks like an owner with an entrepreneurial spirit., • Demonstrates and encourages intellectual curiosity., • Continuous learner; seeks opportunities and knowledge for personal and professional growth., • Sees possibilities over problems - actively seeks solutions., • Innovation, • Encourages out-of-the box thinking to create new ways of doing things., • Continuously seeks to improve and simplify pain points in the business., • Anticipates, embraces, and leads change., • Develops and executes breakthrough strategies., • Integrity, • Does the right thing even under challenging circumstances?, • Communicates with honesty., • Consistently treats others fairly and equitably., • Demonstrates reliability and does what they say they will do., • Conducts tough conversations and delivers difficult messages with kindness and respect. WORK ENVIRONMENT / PHYSICAL ACTIVITY • Subject to both typical office environment and outside locations with temperature and weather variations., • Must be able to lift and carry up to 25 pounds., • Occasional travel may be required. #LI-JA1 #LI-Remote This position was posted on May 1, 2026 and we anticipate it will be open for a minimum of five days, though it may be open for a longer period. We encourage your prompt application. Successful, innovative, and fulfilling careers are built here, and your professional development is a high priority. We invest in your future through the latest training, tools, and technologies. Highly collaborative, we work together to solve problems and find better ways to continually grow our business and careers every day. You'll be empowered to try new things, gain new experiences, and build a career with unlimited horizons. The scale and depth of resources that being the #1 building materials distributor in the nation provides a variety of opportunities for you to explore - all in a friendly, people-first environment. Join us to be more, do more, and build more, together at BFS. In addition to the base wage listed, this position is also eligible to earn an annual bonus subject to changes in plan design and documents and in accordance with applicable law. Eligibility and the amount of the bonus varies based on overall company success, thresholds met and other terms and conditions of the Company's active bonus policy for the respective year. At Builders FirstSource, we offer competitive, affordable benefits designed to make life better for you and the people you love. Our goal is simple - provide great plans that help you and your family to live happier, healthier and more secure lives. This role is eligible for medical, dental, vision, and disability insurance plans, 401(k) retirement savings plan, PTO (including paid sick time), and 8 paid holidays per year (for salaried and hourly team members). Details about Builders FirstSource's benefits offerings are available here ___. Builders FirstSource is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, protected veteran status or status as an individual with a disability. In compliance with the ADA Amendments Act (ADAAA), if you have a disability and would like to request an accommodation in order to apply for a position with Builders FirstSource, please call (214) 765-3990 or email: ___. Please do not send resumes to this email address - it is intended only to be used to request an accommodation in submitting an application for a job opening. If there's legally required pay transparency information missing from our job posting, it's not intentional and we'd like to know. To let us know, please email the job title and location to ___. Please do not send resumes to this email address - it is intended only be used to provide a notice of non-compliance. Please note that due to the volume of applications received, we are unable to respond to individual inquiries about the status of your application.

What We Do Milliman IntelliScript is a group of a few hundred experts in fields ranging from actuarial science to information technology to clinical practice. Together, we develop and deploy category-defining, data-driven, software-as-a-service (SaaS) products for a broad spectrum of insurance, health IT and life sciences clients. We are a business unit within Milliman, Inc., a respected consultancy with offices around the world. IntelliScript attracts top candidates with its innovative, collaborative, and entrepreneurial atmosphere focused on excellence, outstanding customer service, balance, and transparency. Everyone’s opinion counts here, and we motivate each other to explore our full and varied potential. Our steady growth means there are ongoing opportunities for you to expand your skills, take on new responsibilities, and advance in your career. Our team is smart, down-to-earth, and ready to listen to your best ideas. We reward excellence and offer competitive compensation and benefits. Visit our ___ for a closer look at our company, and learn more about our cultural values ___. Milliman invests in skills training and career development and gives all employees access to a variety of learning and mentoring opportunities. Our growing number of Milliman Employee Resource Groups (ERGs) are employee-led communities that influence policy decisions, develop future leaders, and amplify the voices of their constituents. We encourage our employees to give back to their varied professions, including leadership in professional organizations. Please visit our ___ to learn more about Milliman’s commitments to our people, diversity and inclusion, social impact, and sustainability. What this position entails IntelliScript’s Data has been a key part of our success and is critical to our future. In this position as a Staff Data Engineer of IntelliScript’s Data Platform, you will be a trusted advisor across leadership and engineering team, responsible for technical decisions. You will ensure data systems work together across our hybrid environments with a focus on scale and performance. You will lead technical and architecture decisions in collaboration with architecture and data engineering teams while ensuring compliance with industry-leading data privacy standards. What you will be doing • Acts as a subject matter expert and thought leader within the Data Platform Domain, • Data Strategy: Serves as a thought leader in data processing design and implementation, defining advanced structure for moving, storing, and maintaining high-quality data, • Team Leadership: Leads projects by managing timelines, coordinating teams, and communicating project statuses. Influences organizational direction through effective leadership and strategic collaboration, • Data Governance and Security: Serves as a subject matter expert on governance standards, continuously aligning data practices with evolving industry best practices and requirements, • Project Management and Scope of Work: Contributes to defining the overall vision and strategy for data engineering within the organization, ensuring alignment with organizational goals and long-term objectives, • Results Orientation: Establishes visionary goals, advises on strategic plans, employs advanced monitoring, influences high-level stakeholders, and delivers transformative results, • Data Platform: Expansion of our Data Warehouse(s) and Lakehouse solutions for a healthcare data focused enterprise, • Data Governance: Configuring and maintaining unity catalog to enable enterprise data lineage, data quality, auditability and data stewardship, • Data Security: Building out Data Security protocols and best practices including the management of identified and de-identified (PHI/PII) solutions, • Access Management: Always ensure a policy of least privilege is followed for anything being implemented, • External Data Products: Building data solutions for clients while upholding the best standards for reliability, quality, and performance, • ETL: Building solutions within Delta Live Tables and automation of transformations, • Medallion Architecture: Building out performant enterprise-level medallion architecture(s), • Streaming and Batch Processing: Building fit-for-purpose near real-time streaming and batch solutions, • Large Data Management: Building out performant and efficient enterprise solutions for internal and external users for both structured and unstructured healthcare data, • Platform Engineering: Building out Infrastructure as Code using Terraform and Asset Bundles, • Costs: Working with the business to build cost effective and cost transparent Data solutions, • Pipeline/ETL Management: You will help architect, build, and maintain robust and scalable data pipelines, monitoring, and optimizing performance, • Experience working with Migration tools i.e. Fivetran, AWS technologies and custom solutions, • Identify and implement improvements to enhance data processing efficiency, • Design and implement reliable and resilient Event Driven data processing, • Experience with building out effective pipeline monitoring solutions, • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Delta Live Tables, Python, Scala, and cloud-based ‘big data’ technologies, • API Development: Drive our design and implementation of internal APIs for integrating data between different systems and applications, • Integration with external systems utilizing API driven processes to ingest data, • Develop APIs built on top of datasets for internal systems to consume data from Databricks, • Experience integrating with external APIs including but not limited to Salesforce, Financial systems, HR systems and other external systems, • Data Modeling: Lead design, implementation, and maintenance of standards based (FHIR, OMOP, etc.) and efficient data models for both structured and unstructured data, • Assemble large, complex data sets that meet functional and non-functional business requirements, • Develop and maintain data models, ensuring they align with business objectives and data privacy regulations, • Collaboration: Partner internally and externally with key stakeholders to ensure we are providing meaningful, functional, and valuable data, • Effectively work with Data, Development, Analysts, Data Science, and Business team members to gather requirements, propose, and build solutions, • Communicate complex technical concepts to non-technical stakeholders and provide guidance on best practices, • Ensure that technology execution aligns with business strategy and provides efficient, secure solutions and systems, • Gather requirements and build out project plans to implement those requirements with forecasted efforts to implement, • Processes and Tools: Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc., • Build analytics tools that utilize the data pipeline to provide actionable insights into operational efficiency and other key business performance metrics, • Create data tools for clinical, analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader, • Lead investigation of new tooling, develop implementation plans, and deployment of necessary tooling What we need • 15+ years of relevant experience in design, development, and testing of Data Platform solutions, such as Data Warehouses, Data Lakes, and Data Products, • Expert level experience working in Databricks and AWS, • Expert level experience working in both relational and non-relational databases such as SQL Server, PostgreSQL, DynamoDB, DocumentDB, • Experience managing and standardizing clinical data from structured and unstructured sources, • Experience building and managing solutions on AWS, • Expert knowledge in healthcare standards including FHIR, C-CDA, and traditional HL7, • Expert knowledge in clinical standards/ontologies including ICD10/SNOMED/NDC/LOINC/Rx Norm, • Expert in building out data models, data warehouses, designing of data lakes for enterprise and product use cases, • Familiarity with designing and building APIs, ETL and data ingestion processes and utilization of tools to support enterprise solutions, • Experience in performance tuning, query optimization, security, monitoring, and release management, • Experience working with and managing large, disparate, identified and de-identified data sets from multiple data sources, • Experience with building and deploying IAC using terraform, asset bundles and GitHub, • Experience collaborating with Data Science teams and building AI based solutions to drive efficiencies and business value What you bring to the table • Demonstrated “let’s find a way to do it” attitude – no task is too big or too small, • Effective collaboration and communication across multiple technical and non-technical disciplines, • Comfortable working through ambiguous situations, • Able to teach & mentor others on new/emerging technologies, • Customer obsessed with a business-centric focus, • Able to understand both strategic and tactical needs and balance appropriately, • Driven, thorough and self-directed, • Able to lead through influence and persuasion, • Curiosity to explore industry trends and drive the organization to utilize fit for purpose solutions Wish list • Bachelor's degree or master's degree in computer science, data engineering or related field, • Health and Life Insurance business experience, • Professional level solution architecture certification in AWS Location The expected application deadline for this job is June 30, 2026. This position is open to remote work. Applicants must be willing to travel to the Milliman office in Brookfield, WI as needed and travel nationwide for meetings, conferences, and team events. Compensation The overall salary range for this role is $131,600 - $249,780. For candidates residing in: • Alaska, California, Connecticut, Illinois, Maryland, Massachusetts, New Jersey, New York City, Pennsylvania, Virginia, Washington, or the District of Columbia the salary range is $151,340 - $249,780., • All other locations the salary range is $131,600 - $217,200. A combination of factors will be considered, including, but not limited to, education, relevant work experience, qualifications, skills, certifications, etc. Benefits We offer a comprehensive benefits package designed to support employees’ health, financial security, and well-being. Benefits include: • Medical, Dental and Vision – Coverage for employees, dependents, and domestic partners, • Employee Assistance Program (EAP) – Confidential support for personal and work-related challenges, • 401(k) Plan – Includes a company matching program and profit-sharing contributions, • Discretionary Bonus Program – Recognizing employee contributions, • Flexible Spending Accounts (FSA) – Pre-tax savings for dependent care, transportation, and eligible medical expenses, • Paid Time Off (PTO) – Begins accruing on the first day of work. Full-time employees accrue 15 days per year, and employees working less than full-time accrue PTO on a prorated basis, • Holidays – A minimum of 10 paid holidays per year, • Family Building Benefits – Includes adoption and fertility assistance, • Paid Parental Leave – Up to 12 weeks of paid leave for employees who meet eligibility criteria, • Life Insurance & AD&D – 100% of premiums covered by Milliman, • Short-Term and Long-Term Disability – Fully paid by Milliman Equal Opportunity All qualified applicants will receive consideration for employment, without regard to race, color, religion, sex, sexual orientation, national origin, disability, or status as a protected veteran.

About Sleeper: Sleeper is one of the fastest growing sports platforms in the US. As the leader in Fantasy Sports, Sleeper’s product portfolio includes a variety of free-to-play Fantasy Sports and real money Daily Fantasy Sports (“DFS”) games and applications. Our growing list of titles spans a diverse range of sports leagues, including the NFL, NBA/WNBA, MLB, NHL, EURO, and other soon-to-be released offerings. We are seeking a Data Scientist with relevant DFS or Sportsbook experience to help support our risk and trading function. Responsibilities: * Support risk and liability management with respect to Sleeper’s DFS operations, conducting data analysis and modeling to identify trends, patterns, and insights. * Develop predictive models and algorithms to better understand Sleeper’s real-time liability, including risk exposure related to specific markets and events. * Conduct data wrangling, processing and cleaning operations, and design processes, as well as tools for monitoring and analyzing performance and accuracy. * Monitor all pricing for real-time odds, active player statistics markets, breaking news, and other relevant information to make real-time market adjustments / suspensions, while also ensuring that data flows from external partners are being recorded timely and accurately. * Build out user risk profiles, staying close to behavior patterns and trends, and collaborate with product and engineering teams to enhance personalization within our DFS ecosystem. * Automate risk and trading processes to scale for growth in users, sports, and markets in support of all game operations, and contribute to research and innovation for this function as a whole. Qualifications: * Background in computer science, data science, machine learning, mathematics/statistics, or a similar field with related experience. Comfortable working with and analyzing large data sets. * In-depth knowledge of DFS, sports betting, player props, handicapping, expected value, and closing line value. Ideal candidates have extensive experience with high volumes of DFS/sports betting and real money games, either as a trader, +EV bettor, and/or oddsmaker. * Proactive – ready to hit the ground running; excited about the idea of building out processes from scratch, and not afraid to break the “sports trading mold”, challenging how the industry has historically approached risk management and trading. * Comfortable working “off hours” to align with peaks in the sports calendar. This will often include nights and weekends. We are generally quite flexible and will work with you to ensure an appropriate work/life balance is molded around game schedules. * Knowledge of SQL, Python, and/or related software/tools, and familiarity in working with databases, data warehouses, data visualizations and report building. * Experience with player performance metrics, game outcome predictions, in-game event modeling, as well as working with real-time sports data feeds and APIs. Additional Information: We believe in fair and equitable pay. Certain locations in the United States require job postings to include a reasonable estimate of the base salary range and/or a general description of benefits and other compensation applicable to the role. For this role, in this particular location, a reasonable estimate of the base salary range for new hires is between $75,000 USD to $150,000 USD, plus benefits including Medical, Dental, PTO, and 401k. Please note that the salary range for this role takes into account a wide range of factors that are considered in making compensation decisions including, but not limited to, skill sets; experience and training; licensure and certifications; and other business and organizational needs. The policy of Sleeper is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to affirmatively seek to advance the principles of equal employment opportunity. Sleeper is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company’s career webpage as a result of your disability. You may request reasonable accommodations by sending an email to . Headquartered in Las Vegas, NV, Sleeper is backed by Silicon Valley’s top investors, including Andreessen Horowitz, General Catalyst, and Expa. To learn more, visit us online at: ___

Data Scientist – Machine Learning & Predictive Analytics About the Role RDA is a digital transformation consultancy helping future-ready enterprises solve complex business challenges through AI, strategy, and customer experience. We’re expanding our data capabilities and seeking a Data Scientist to design and deliver machine learning solutions that drive measurable business impact. In this role, you’ll work closely with clients to explore data, build predictive models, and bring those solutions into production. You’ll operate at the intersection of hands-on development and client collaboration, contributing to both delivery and early-stage solutioning in a consulting environment. Location Remote. We’re interested in candidates based in Eastern or Central Time Zones, as collaboration happens primarily during EST hours. What You’ll Do • Analyze client data to identify trends, correlations, anomalies, and predictive opportunities, • Build, train, evaluate, and deploy machine learning models across a variety of use cases, • Select appropriate statistical and ML approaches, experiment with alternatives, and optimize model performance, • Prepare and process data for modeling, including cleaning, transformation, and feature engineering, • Integrate ML solutions into client systems in partnership with engineering teams, • Monitor models for drift, bias, and accuracy over time and adjust as needed, • Present insights and recommendations to business stakeholders in a clear, compelling way, • Participate in discovery sessions to understand client objectives and data landscapes, • Support sales and pre-sales by helping scope machine learning opportunities, • Collaborate with cross-functional RDA project teams throughout implementation cyclesRequired Qualifications, • 3–8+ years of hands-on experience in machine learning (including model selection, training, tuning, evaluation, and deployment in production environments, • Strong Python Expertise with common ML libraries (e.g., pandas, NumPy, scikit-learn, TensorFlow, PyTorch), • Solid foundation in statistical modeling and predictive analytics, including experience with data wrangling and feature engineering, • Hands-on experience with Microsoft Azure ML Studio and Microsoft Fabric, • Experience building and deploying ML solutions in cloud environments and working across diverse business domains, • Bachelor’s degree in a related field or equivalent practical experience No third parties, please. Only U.S. Citizens or U.S. Permanent Residents need apply.

Wizard is the top-performing AI Shopping Agent, delivering the best products from across the web with unmatched accuracy, quality, and trust. We’re looking for a Data Scientist to own how we measure, understand and improve the accuracy of our AI agent. This role sits at the intersection of data science, machine learning and product and is focused on evaluation, experimentation and insight generation. You won’t be building models but you will make sure they work in real world scenarios. You will build the systems to measure what good looks like and partner closely with ML, AI Engineering and Product to continuously improve the agent’s performance. • Define and evolve accuracy metrics across the full shopping experience (retrieval, ranking, recommendations and outcomes), • Design and run experiments to measure improvements and regressions, • Build and maintain evaluation datasets, benchmarks and scoring frameworks, • Translate ambiguous product questions into clear, measurable hypotheses and analysis, • Partner with ML Engineers to validate model changes and guide iteration, • Identify failure modes and edge cases and drive improvements through data, • Create dashboards and reporting that make agent performance visible, trusted and actionable What Success Looks like • Clear, trusted accuracy metrics are consistently used across product and engineering, • A robust automated evaluation framework exists for both offline and live experiments, • Model and product changes are consistently measured before and after launch, • 4-6+ years in Data Science, ML Evaluation or Applied AI or similar roles, • Deep experience evaluating AI/ML systems (ranking, recommendations, LLMs, etc), • Strong experience with experimentation (A/B testing, causal inference), • Experience working on consumer products or user facing systems and exposure to marketplace or e-commerce systems, • Ability to translate messy problems into structured analysis and metrics, • Strong product mindset, you care about real user outcomes, • Clear communication with the ability to influence across engineering and product The expected base salary range for this role is $225,000 - $280,000 USD, and will vary based on skills, experience, role level, and geographic location. Final compensation will be determined by considering these factors alongside overall role scope and responsibilities. In addition to base salary, Wizard offers: • Equity in the form of stock options, • Medical, dental, and vision coverage, • 401(k) plan, • Flexible PTO and company holidays, • Fully remote work within the United States, • Periodic company offsites and team gatherings Wizard is committed to fair, transparent, and competitive compensation practices.

Marketing Analytics - CAC, LTV, Subscriptions This Jobot Job is hosted by: Dylan Currier Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $100,000 - $130,000 per year A bit about us: We are a household name in the entertainment industry, known for delivering unforgettable experiences that bring people together. From live events and ticketing to digital and subscription-based offerings, we connect millions of fans with the content and moments they care about most. Behind the scenes, we operate with the mindset of a startup—fast-moving, collaborative, and deeply focused on innovation. We’re constantly exploring new ways to better understand our customers, optimize their journey, and create more meaningful engagement through data. Our teams leverage modern technologies and advanced analytics to power smarter decisions across the business. By combining creativity with data science, we’re able to enhance everything from ticket sales strategies to personalized subscription experiences. We believe in empowering our people to take ownership, experiment, and make an impact. Whether it’s launching new products, refining customer insights, or building scalable data solutions, every team member plays a key role in shaping the future of entertainment. Join us and help redefine how audiences discover, engage with, and experience live and digital entertainment. Why join us? Opportunity to work with a leading brand in the entertainment space A dynamic, startup-oriented culture with room to make a direct impact Fully remote work environment with flexibility Competitive compensation and benefits Job Details We are looking for a Data Scientist to join a well-known, household-name company in the entertainment industry. This role sits at the intersection of data, product, and business strategy, with a strong focus on consumer analytics across ticketing and subscription-based offerings. You will build and deploy models that drive key business metrics such as churn, lifetime value (LTV), and customer acquisition cost (CAC), while uncovering actionable insights to optimize ticket sales and customer engagement. This is an opportunity to work within a fast-moving, startup-like environment backed by the scale and brand recognition of a major entertainment company. Key Responsibilities Develop and maintain predictive models for churn, LTV, and CAC to inform growth and retention strategies Analyze ticket sales data to identify trends, forecast demand, and optimize pricing and promotions Generate insights on customer behavior across subscription and transactional products Partner with product, marketing, and analytics teams to translate business needs into data-driven solutions Design and analyze A/B tests to evaluate product features, campaigns, and pricing strategies Build scalable data pipelines and workflows in collaboration with data engineering teams Communicate findings clearly to both technical and non-technical stakeholders Required Qualifications 3–5 years of experience in data science, analytics, or a related field Proven experience building models related to churn prediction, LTV, CAC, or similar consumer metrics Strong proficiency in Python and SQL Experience working with modern data platforms such as Snowflake and cloud environments like AWS Solid understanding of statistical methods, machine learning techniques, and experimental design Experience working with large, complex datasets and deriving actionable insights Ability to thrive in a fast-paced, startup-like environment Preferred Qualifications Experience in entertainment, media, ticketing, or subscription-based businesses Familiarity with forecasting models and time-series analysis Experience with data visualization tools (e.g., Tableau, Looker) Exposure to big data tools (e.g., Spark) Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. 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Familiarity with vector databases, embedding models, and retrieval pipelines.

An environmental services company in Dallas is looking for a Senior Geologist/Senior Environmental Scientist/Senior Engineer.

Job Description Senior Nuclear Scientist Kalman & Company is seeking to hire an experienced Senior Nuclear Scientist. This will be a full-time position with on-site support required in Addison, TX, and the Dallas Metro Area. Advanced training, experience, and knowledge in the field of nuclear spectroscopy as demonstrated in the resume by a minimum of an advanced degree in Nuclear Physics or Nuclear Engineering and a minimum of 5 years of documented experience in airborne applications of gamma-ray spectroscopy and airborne applications of spectroscopy. Responsibilities: • Operations, set-up, calibration, diagnostics, and inventory of radiological instrumentation and materials, • Advise the government client on radiological instrumentation employment and results analysis, • US Citizenship is required, • Advanced degree in Nuclear Engineering, Physics or Health Physics, • Minimum 5 years airborne gamma measurements, • Minimum 2 years of gamma spectroscopy experience in a laboratory or similar setting, • Experience with MCNP or similar codes, calculations for MDA of airborne spectrometers or other similar analyses, • Experience in gamma spectroscopic analysis of uranium, thorium and series progeny, • Strong analytical, report writing, and presentation skills, • Located near the Addison, TX area., • Three to five years of experience in nuclear instrumentation quality assurance, • Previous or current training in DOT shipping requirements for radioactive material, • Spectroscopic experience with scintillators (NaI, LaBr) and solid-state detectors, • Familiarity with secular equilibrium and its effects on spectral analysis

Job Description About the Job The Data Science team partners with marketing, analytics, and digital optimization teams to develop advanced analytical solutions that improve marketing effectiveness and customer engagement. This role focuses on applying statistical modeling, experimentation, and machine learning techniques to understand customer behavior across the marketing and digital customer journey. Insights generated from this work help guide marketing strategy, customer targeting, and investment decisions. The position operates within a modern analytics environment leveraging Amazon Redshift, AWS SageMaker, and AWS CodeCommit to build scalable analytical workflows and production-ready models. Job Description We are seeking a Senior Data Scientist with strong statistical expertise to develop analytical frameworks, predictive models, and experimentation strategies that support marketing optimization and customer journey analysis. The role requires a strong understanding of statistical inference, causal analysis, and predictive modeling to help translate business questions into rigorous analytical solutions. The candidate should be comfortable working with large datasets, building scalable models, and communicating analytical insights to cross-functional teams. This position requires collaboration with marketing strategy, digital optimization, and analytics teams to ensure analytical insights are effectively integrated into business decision-making. Responsibilities • Develop statistical and machine learning models to analyze customer behavior across marketing and digital channels., • Conduct deep analytical investigations to identify drivers of customer acquisition, engagement, conversion, and retention., • Design and evaluate marketing experiments and A/B tests to measure campaign effectiveness and customer impact., • Apply causal inference techniques to distinguish correlation from true causal effects in marketing and customer data., • Translate business questions into statistical analysis frameworks and modeling approaches., • Connect analytical insights to business outcomes including revenue growth, marketing efficiency, and cost optimization., • Build scalable analytical pipelines using Python and SQL., • Query and analyze large datasets within Amazon Redshift., • Develop and deploy predictive models using AWS SageMaker., • Maintain version-controlled analytical workflows using AWS CodeCommit., • Collaborate with marketing, analytics, and engineering teams to ensure analytical solutions support business strategy and operational decision-making., • Master's degree in Statistics or a related quantitative discipline such as econometrics, applied mathematics, operations research, or data science., • Strong proficiency in Python for statistical analysis and modeling., • Strong proficiency in SQL for large-scale data querying., • Experience working with large datasets and advanced analytical methods., • Preferred experience includes:, • Experience in marketing analytics, customer analytics, or digital analytics., • Experience designing and evaluating A/B tests and controlled experiments., • Knowledge of causal inference methods and experimental design., • Experience building production-ready machine learning models., • Familiarity with AWS analytics and machine learning tools, including Amazon Redshift and AWS SageMaker., • 0-3 years experience, • Prefer candidates in West Coast or Mid-west

Job DescriptionBenefits: • Competitive salary, • Flexible schedule Roles & Responsibilities : • Design, build, fine-tune, and deploy LLMs, transformer-based NLP models, and GenAI solutions for both batch and real-time/streaming contexts., • Own all major components of ML pipelines: data ingestion, cleaning, pre-processing (structured & unstructured), embedding, search & retrieval, prompt engineering, RAG (Retrieval-Augmented Generation)., • Collaborate closely with ML Engineers, MLOps, software engineering, product, compliance, legal etc., to move models from prototype to productionensuring reliability, scalability, monitoring, and maintainability., • Define and implement evaluation frameworks: accuracy, bias, fairness, hallucination, consistency, latency; run UAT, stress-tests, drift detection., • Optimize models and pipelines for performance, cost, and efficiency., • Ensure best practices in model development: version control, repeatability, documentation, governance, and ethical AI use., • Mentor more junior data scientists; help build team skills in NLP, GenAI practices, prompt engineering, fine-tuning., • Identify new use cases; prototype innovations in GenAI/NLP; keep up with latest research and open source developments, decide what to adopt. Must-Have Qualifications: • 10+ years of experience in data science / ML, with substantial work in NLP, LLMs, or Generative AI., • Deep hands-on experience in Python, using frameworks like PyTorch, TensorFlow, HuggingFace etc., • Proven track record building transformer/NLP / LLM models; experience with fine-tuning, prompt engineering., • Solid experience with information retrieval / search: keyword + semantic search, embeddings, vector databases., • Experience working in production / deploying models (batch and streaming), working with MLOps practices., • Strong algorithmic / statistical / mathematical fundamentals. Ability to reason about model behaviour, bias, uncertainty., • Good communicator: able to translate complex technical detail to business / non-technical stakeholders. Nice to Have: • Master's in Computer Science, Computational Linguistics, Statistics, Machine Learning or related field., • Experience with multimodal models (vision + text) or emerging LLMs and agent-based systems., • Experience with open source LLMs & toolkits; familiarity with LangChain or similar frameworks., • Prior experience in regulated environments (finance, risk, legal, compliance) with strong governance, privacy requirements. Work remote temporarily due to COVID-19.

Job DescriptionAbout VogoVogo is a global travel platform that brings all types of accommodations into one place, making it easy for travelers to find the perfect stay. From downtown hotels and luxury resorts to private vacation rentals and remote cabins, Vogo offers the widest selection of accommodations worldwide. Vogo's proprietary technology then scans billions of data points to surface the best deals across millions of properties, streamlining discovery, and booking for every traveler. Since launching out of Wilbur Labs in 2018, Vogo has rapidly become one of the most trusted travel platforms globally, surpassing $1 billion in gross bookings in just two years. Vogo is headquartered in Dallas and led by a team of travel industry veterans. About this Role Vogo is seeking a hands-on, data-driven Data Scientist to support the next stage of growth. This role will own the Machine Learning models that drive our business from development to deployment. Key responsibilities include improving on sort and search models to help travelers find their perfect accommodation quickly and efficiently, refining predictive and classification models to estimate cancellations and financial outcomes, and developing new models to choose the perfect images and reviews to show to our customers. Your work will directly improve both customer experience and business performance. The ideal candidate combines top-notch model development and tuning skills with a startup mindset: pragmatic, ownership-driven, and excited to make a measurable impact. This is a strategic, execution-focused role for someone who can drive Machine Learning initiatives end-to-end and deliver results independently. Success in this role requires more than strong technical skills. Improved models and engineering must translate into better financial and customer outcomes, so strong business judgment is essential. Identifying the right problems to solve is just as important as the modeling itself. This role is positioned to have a direct and meaningful impact on the business. This role will report directly to the COO. This is a full-time hybrid position, based in Dallas. Roles and Responsibilities: • Model Development: Design, develop, and implement machine learning models to drive VacationRenter’s sort and search functions, create classification models to predict reservation cancellations, and build predictive models to support pricing strategies, • Data Analysis & Feature Engineering: Leverage your business acumen and deep understanding of travel shopping behaviors to identify, engineer, and prioritize the most impactful features that drive model performance, • Production Deployment: Collaborate with engineering teams to deploy machine learning models into production, ensuring they perform reliably, scale effectively, and maintain high-quality results, • Experimentation & A/B Testing: Design and run controlled experiments to measure and validate the effectiveness and impact of machine learning models, • Reporting & Visualization: Develop clear and insightful reports and interactive dashboards to effectively communicate model findings and performance metrics to both technical and non-technical stakeholders, • Research & Innovation: Continuously explore and apply the latest advancements in machine learning, AI, and data science to enhance our modeling capabilities and data infrastructureMinimum Qualifications:, • 5+ years of professional experience in a Data Scientist or Machine Learning Engineer role,, • Expert-level proficiency in Python, including key machine learning libraries, • Solid understanding of statistical modeling, experimental design, and data mining techniques, • Demonstrated experience owning the full modeling lifecycle, including ETL, data cleansing, feature engineering, model development, deployment, and ongoing maintenance, • Experience with SQL and working with large datasets in a cloud environment, particularly GCP, but demonstrated expertise in other platforms can suffice, • Strong communication skills, with the ability to explain complex technical concepts to a diverse audiencePreferred Qualifications and Prior Experience:, • Experience developing machine learning models within a GCP environment, • Familiarity with MLOps practices and tools for deployment, maintenance, and ongoing improvement of models, • Experience in the Travel or Financial Services industryBenefits & Perks:, • Competitive salary + equity, • Top-tier laptop provided, • 100% company-paid health benefits for base plan coverage, with the option to upgrade to higher-tier plans, • 401(k) with company match, • Unlimited, guilt-free vacation days, • Annual wellness stipend (gym + other wellness activities), • Monthly house cleaning stipend, • Annual travel allowance, • Monthly cell phone & internet usage stipend, • Charity donation company match, • Employee referral bonus