Trabajos sql en Boston, Massachusetts - Page 4Crear alertas

This job family programs and configures end user applications, systems, databases and websites to achieve the organization's internal needs and externally-facing business needs. Database Technologies: SQL, PL/SQL, Oracle, MS SQL Server, PostgreSQL.

Come join a cutting edge custom development team for one of the top-rated Boston based asset managers.You will be developing custom applications for the Investment Systems team.This position works closely with the business, technical and operations team to develop custom applications to support the

Strong proficiency in: - Azure Data Services, Databricks, Snowflake - HANDSON experience building AI agents using MS AI Foundry and MS Copilot and should have worked on MS AZURE cloud.ServiceNow APIs, SAP connectors - Mulesoft, RESTful APIs, OAuth2 - SQL, Python,.NET, NodeJS Experience with DevOps t

Audits including Cost-no-Revenue requires the analyst to review services that either are not found in Granite's internal inventory or are actively missing revenue charges. Analyst will also leverage Excel, SQL, and PowerPivot to cross reference datasets to accomplish tasks, strengthen audits, and im

Job Description About the role: The Senior Manager, Clinical Strategist for real-world evidence (RWE) plays a pivotal role in shaping the strategic use of real-world data (RWD) to inform Regulatory, Clinical, R&D, HEMA and commercial decision-making across the company's diverse business units. This role contributes to efforts on establishing RWE as a core strength of the company with rigorous evidence to support device development, labeling strategies, indication expansions, and market differentiation. The incumbent will work across divisions, collaborating dynamically with various internal teams, including Biostatistics, Business Development, Communication, Digital Health, Health Economics and Market Access, IT, Legal, Marketing, Medical Affairs and Safety, Quality, R&D, Regulatory, Sourcing, along with external experts or agencies to assist in identifying strategy needs, defining fit-for-purpose use cases, developing study designs, and implementing innovative and compliant RWE solutions that support the company's strategic goals. Responsibilities will include: • Drive the development and execution of enterprise-wide strategies for leveraging RWD for clinical, regulatory, marketing, business development and research purposes, such as value messaging, publications, label expansions, and post-market surveillance., • Collaborate with divisional leaders as a core member of the RWE executive committee to guide the identification, prioritization, design and scientific execution of real-world clinical use cases using claims, electronic health records (EHR)s, registries, and other RWD sources, while ensuring rigor in study quality, validity and applicability., • Serve as a scientific lead and subject matter expert in translating clinical need to RWE regulatory use cases, providing best practices for RWE study development and clinical validation framework, and collaborating with regulatory and clinical affairs to identify global submission pathways and appropriate evidence requirements., • Collaborate closely with key stakeholders including Regulatory, Biostatistics, Clinical Communications, Medical Affairs, Health Economics and Market Access (HEMA), Quality, R&D, Marketing, and Legal to align on cross-functional objectives and implementation strategies., • Serve as a core member of an agile team that spearheads global RWE initiatives across the business., • Represent the company in scientific and regulatory forums, conferences, academic collaboration, health system partnerships, and working groups related to real-world evidence., • Author scientific documents including study protocols, analysis plans, regulatory reports, impactful conference proceedings, books or book chapters, and publications in peer-reviewed journals., • Contribute to enterprise knowledge repositories with curated RWE studies, use cases, methodologies, and learnings to promote transparency and reusability. Required qualifications: • Minimum bachelor's degree and 7+ years of relevant experience in clinical strategy and/or research, including at least 3 years in real-world evidence or observational studies or advanced degree (MD, DO, PhD, MPH, MS) in a relevant clinical, scientific, epidemiologic, or healthcare informatics field., • Proven experience of RWE use cases with business impact and value., • Proven expertise in study design, protocols, analysis, and interpretation of RWE studies using claims, EHRs, registries, patient-generated data and other structured/unstructured data sources., • Proficiency with medical coding standards (ICD, CPT, SNOMED, LOINC) and strong working knowledge of regulatory frameworks and evolving guidance for RWE use. Preferred qualifications: • Demonstrated success leading cross-functional RWE initiatives in a regulated environment – label revisioning, post market safety and effectiveness, • Experience applying RWE in support of medical device research and development and/or regulatory submissions., • Familiarity with advanced analytics (Machine Learning and AI), data platforms (Snowflake, AWS, Azure), programming tools (Python, R, SQL), data quality frameworks, data exchange and integration standards, and validation methodologies in observational research., • Proven scientific writing and communication skills for scientific conferences and journals

Job Description Gradient AI: Gradient AI is revolutionizing Group Health and P&C insurance with AI-powered solutions that help insurers predict risk more accurately, improve profitability, and automate underwriting and claims. Our SaaS platform taps into one of the industry's largest data lakes—tens of millions of policies and claims—to deliver deep, actionable insights. Trusted by leading carriers, MGAs, TPAs, and self-insured employers, Gradient AI has grown rapidly since our founding in 2018. Backed by $56M in Series C funding, we're scaling fast—and it's an exciting time to join the team. About the Role: We're seeking a highly organized Senior Technical Product Owner (TPO) to help deliver complex, data-driven products. Partnering with the Group Product Manager, the TPO will turn strategic vision into execution across platforms and initiatives. This role leads planning, execution, and delivery for our health analytics products and supporting platform—spanning data pipelines, core infrastructure, predictive models, and user dashboards. They will manage cross-functional efforts to integrate health data, enhance the analytics platform, and deliver new capabilities in underwriting, cost forecasting, and population health. This is a fully remote opportunity. How you will make an impact: Execution & Delivery • Translate product strategy and roadmap themes into detailed epics, user stories, and delivery plans., • Manage sprint ceremonies, backlog refinement, and cross-team coordination., • Identify and mitigate technical risks and delivery blockers., • Track progress across engineering and data teams, ensuring alignment with strategic goals., • Collaborate with the Group PM and stakeholders to define clear, actionable technical requirements., • Own documentation for technical product specs, infrastructure updates, data integrations, and model deployment workflows., • Partner with data engineering, data science, software, and clinical informatics teams to ensure reliable ingestion, transformation, and integration of data between systems, • Define and enforce data quality, governance, and release management processes across the health platform., • In collaboration with the Group PM, establish and track KPIs for delivery velocity, platform reliability, and data quality., • Help drive continuous improvement in engineering execution and delivery predictability., • 5+ years of experience in technical product ownership, program management, or engineering project management, preferably within healthcare data/analytics platforms., • Strong technical background; ability to work closely with engineers on architecture, data pipelines, and APIs., • Strong understanding of agile methodologies and product development lifecycle., • Experience working with data platforms and ML/analytics products., • Proven success leading and managing cross-team dependencies across product, engineering, and data science., • Familiarity with tools like Jira, Confluence, GitHub, and data documentation platforms., • Knowledge of data orchestration tools like (Airflow, Dagster, Prefect, etc.) a plus., • Experience with SQL and Python a plus., • Exposure to ML/AI productization, risk scoring models, or predictive analytics platforms., • Experience in health analytics, underwriting, or population health products a plus., • A fun, team-oriented startup culture., • Generous stock options - we all get to own a piece of what we're building., • Unlimited vacation days., • Flexible schedule that supports working from home., • Full benefits package includes medical, dental, vision, 401k, paid paternal leave, and more. Salary Range: $130,000-175,000 base salary annually. This role is also eligible for an annual performance bonus, equity grant, and a comprehensive benefits package. In accordance with the Massachusetts Pay Transparency Law, we are providing a good-faith salary range for this position at the time of posting. The actual salary offered will depend on the level at which the candidate is hired, as well as their experience, skills, qualifications, and location. Compensation may grow over time through merit-based increases, promotions, and company-wide adjustments. If your salary expectations fall outside this range, we still encourage you to apply so we can have a conversation.

Job Description Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. The Director, Partner Programs sits at the intersection of Product, Operations, Finance, Marketing, Partner Success, and Leadership. You will define how Xometry builds and scales its supplier network, from acquisition and onboarding to activation and retention. You will set the vision, build the strategy, and oversee the programs and initiatives that strengthen our supply base. You will manage a small team and work closely with cross-functional partners to deliver measurable business outcomes. What You'll Do • Define the vision and roadmap for Xometry's supplier network, including segmentation, tiering, and performance standards, • Design and launch incentive programs and engagement models that improve partner quality, retention, and growth, • Partner with Partner Success, Product, Operations, Finance, and Marketing to ensure programs are built, implemented, and communicated effectively., • Manage and develop a team of two direct reports focused on supplier acquisition, onboarding, and activation, • Track KPIs and analyze supplier behavior to optimize programs and continuously improve outcomesWhat Skills Do I Need?, • Strategic thinker who can translate marketplace goals into supplier programs, • Experienced team leader with a track record of managing and developing talent, • Data-driven operator comfortable with Excel, SQL, and BI tools, • Strong communicator who can influence executives and simplify complex ideas, • Builder/doer mindset with the ability to launch pilots, iterate quickly, and scale proven modelsQualifications, • 8+ years in supply, partner, channel strategy, program design, or marketplace operations, • Proven success leading cross-functional initiatives and presenting to senior leadership, • Experience creating and scaling partner or supplier programs, • Track record of managing small teams, • Strong skills in data analysis and financial modelingNice to Have, • Experience in a manufacturing, supply chain, hardware, or B2B marketplace domain, • Experience with partner / supplier onboarding, integrations, or systems, • Experience in management consulting, • Experience with gamification or behavior design #LI-Hybrid Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

Job Description OfferFit was founded by ex-McKinsey and BCG math PhDs, and we're funded by leading Silicon Valley VCs. OfferFit's AI decisioning engine supports 1:1 personalization for lifecycle marketing campaigns, powered by reinforcement learning AI. This allows marketers to test & improve the performance of their campaigns much faster than before. Customers include leading brands like Brinks Home, Yelp, Chime, Engie, and MetLife, among many others. Note for Applicants: Data shows that men on average apply for a role if they meet 6/10 requirements while women often only do so if it's 10/10. We work hard to be clear and specific about what our roles require, and we encourage you to apply even if you don't check all the boxes! Applying gives you the opportunity to be considered and we look forward to reviewing your application! The AI Success Manager is a critical individual contributor role on our growing AI Success team to ensure OfferFit customers are highly successful with the product. In this capacity, you will collaborate closely with different teams, internally and externally, to drive renewals, upsells and expansions. You'll oversee design and execution of OfferFit use cases, working closely with customers to identify future use cases, and own executive level relationships. You will also contribute significantly to the OfferFit product development process, and act as the voice of our customers. Finally, given the analytical nature of OfferFit's product and use cases, you will conduct analysis of results and build compelling presentations to communicate customers insights, troubleshoot issues, and showcase OfferFit's value proposition. In particular, you will: • Support CS Director to build meaningful relationships across our customers' organization, • Work with implementation and data science teams to drive the success of AI use cases with our customers, • Work closely with the OfferFit sales team to drive renewals & upsell opportunities, • Develop deep understanding of customer business context and pain points to facilitate the strategic mapping of OfferFit value proposition, • Serve as strategic partners to guide our customers in maximizing business value from their use of OfferFit, • Conduct analyses (including using Excel, SQL) and provide data-driven presentations on OfferFit's business impact, use case insights, and guide customers through troubleshooting, • Synthesize and communicate stories based on customer insights, • Be the face of the company, working alongside our customers to help them succeed., • Lead the AI transformation happening in marketing technology today — OfferFit is at the forefront, so you'll be in the middle of the action., • Join OfferFit's fast-paced, supportive, and professional team. We make sure all of our team members are empowered and receive great mentorship and coaching., • Entrepreneurial: you take initiative, work around obstacles, and always seek creative ways to get to the next level, • People person: you build trust-based relationships with external partners, and combine empathy with a willingness to have direct, challenging conversations, • Analytically-driven: You are able to draw insights from raw data and perform analysis that is helpful and clear to customers, • Technology enthusiast: you are passionate about new technologies and their potential to impact business-as-usual, • Structured and organized: you can structure a plan, align stakeholders, and see it through to execution, • Clear communicator: you are able to express yourself clearly and persuasively, both in writing and speech OfferFit Benefits and Perks: • Generous PTO (starting at 25 days PTO per year) and Parental Leave policy (12 weeks paid), • 100% remote work environment with flexible hours, • Quarterly gatherings where we meet in person in a different city to work together, bond as a team and celebrate our progress, • Weekly team events (lunch and learns, trivia, virtual escape rooms, town hall and team health "barometer" meetings), • Ability to learn and develop from an experienced leadership team (ex-Amazon, McKinsey, BCG, and IBM, among others) who are focused on building a talented, diverse, and inclusive team, • Dedication to building a strong culture (e.g., team resource groups, weekly recognitions, major life event celebrations, mental health/sustainability days off, etc.)

This position is for a talented and experienced Business Systems Analyst to join a growing manufacturing organization with multiple locations in the US and globally, and be a key member of the growth of the technology division. This is an excellent opportunity for a highly motivated Business Systems

Financial System Analyst, you will be part of the IT Financial Systems Team entails responsibilities for supporting, maintaining, developing, and implementing the firm's financial systems. Develop and optimize SQL queries, stored procedures, and data endpoints to enhance financial data processing, b

Currently enrolled in a PhD program in a quantitative field (Computer Science, Mathematics,, Engineering, Statistics/Biostatistics, Physics, Robotics, Operations Research, etc. Experience with languages and tools relevant to data science, including Pytorch/TF, github, pyspark, Docker, SQL, GCP.

Oracle SQL Queries, PLSQL Development, Performance tuning and Capital Markets Experience is Must.Extensive experience with Oracle/Exadata SQL, PL/SQL and perform application tuning using various tools like EXPLAIN PLAN, SQL*TRACE and AWR Reports.Should have a clear understanding of Oracle Server Pro

Knowledge of PL/SQL is Must with hands-on experience.

Expert level T-SQL skills and good knowledge of SQL internals. Proven track record building large scale SQL Server databases.

Job Description Site Reliability Engineer 1 6+ Month W2 Contract Waltham, MA (Hybrid) Here’s how you’ll make an impact on the team: Deploy and manage solutions efficiently on private or public cloud, and ensure they meet established SLAs, with an emphasis on optimizing cloud resource utilization. Maintain database performance by investigating, debugging, identifying and resolving production issues. Implement solutions by defining database physical structure and functional capabilities, database security, data back-up, and recovery specifications. Design, implement, and maintain integrating monitoring and alerting tools, leveraging existing tools and logging. Monitoring all levels in the application stack. Expand existing automation tools to streamline onboarding. Collaborate with various internal teams to provide the best service possible for our customers. Here’s what you’ll need to be successful in this role: Chef / Ruby Python Lua SQL (postgres) OpenTelemetry / Prometheus / Grafana SMTP / email deliverability a plus Pay Range: $40.00 $45.77/hour Benefits That Matter to You: • NextDeavor offers health, vision and dental benefits for contract employees, • Paid sick leave eligibility is contingent on state of residence Apply with Pioneers here !

Job Description Who are we? A strategic and trusted insurance partner, Berkshire Hathaway Specialty Insurance (BHSI), provides a broad range of commercial property, casualty and specialty insurance coverages and outstanding service to customers and brokers around the world. Part of Berkshire Hathaway’s insurance operations, we bring our solutions to market with our stellar brand name, top-rated balance sheet, and the expertise of our global team of professionals, who exude excellent capabilities and strong character. We are a values-based organization where respect, integrity, excellence, collaboration, and passion define who we are and how we do business. We value diversity of backgrounds, experience, and perspectives and strive to foster an inclusive environment that enables all our team members to bring their best selves to work. We are one team committed to building a culture where every teammate has the opportunity to contribute and be recognized. Want to be part of the team building the finest property, casualty and specialty lines insurance company in the world? Learn more about our unique culture and history. Job Opportunity: BHSI is seeking an analytical and technically minded, passionate Engineer or Senior Engineer with expertise in wind vulnerability assessment and risk modeling to join our Catastrophe Engineering and Analytics (CAT E&A) team. CAT E&A is an innovative and versatile technical team conducting catastrophe risk evaluations, developing independent solutions and models, and providing quantitative insured loss metrics that inform underwriting decisions. The successful candidate will join the team responsible for conducting research and developing solutions for catastrophe risk assessment and should have strong research and development experience with catastrophe models or other risk assessment tools. Primary duties will involve research and development of internal views for hurricane wind risks. Contributions include undertaking wind and other perils risk evaluation using vendor models and internal models, assisting with individual underwriting decisions, and performing risk accumulation analyses. We welcome applicants at both the Engineer and Senior Engineer levels. Title and responsibilities will be commensurate with experience, education, and qualifications. The role can be based in our San Ramon, CA, Boston, MA, or Atlanta, GA office. Duties & Responsibilities: • Conduct research on wind vulnerability of buildings and other structures for the development of internal catastrophe models., • Conduct global wind risk evaluation using vendor models and internal models., • Explain wind risk modeling concepts and results to underwriters to inform risk underwriting decisions., • Conduct periodic training for underwriters., • Work with our team to incorporate BHSI’s view of risk into catastrophe modeling tools and platform., • Contribute to all aspects of natural catastrophe analytics. Qualifications, Skills and Experience: • PhD degree in Civil or Wind Engineering, or related discipline, • Strong understanding of wind engineering and design of buildings and other structures for wind. Previous catastrophe modeling and wind vulnerability assessment experience is a plus, • Knowledge of probability and statistics., • Strong programming skills (e.g., R, Python, MATLAB, SQL), • Proficiency in geospatial analytics, • Strong written and verbal communication skills, • Highly motivated, detail oriented, and team player BHSI Offers: • A competitive package and exciting growth opportunities for career-oriented teammates., • A dynamic, action oriented, and thoughtful environment centered on always doing the right thing for our customers, teammates, and our other stakeholders., • A purposely non-bureaucratic organization that embraces simplicity over complexity and emphasizes individual excellence in a team framework., • Benefits that support your life and well-being, which include:, • Comprehensive Health, Dental and Vision benefits, • Disability Insurance (both short-term and long-term), • Life Insurance (for you and your family), • Accidental Death & Dismemberment Insurance (for you and your family), • Flexible Spending Accounts, • Health Reimbursement Account, • Employee Assistance Program, • Retirement Savings 401(k) Plan with Company Match, • Generous holiday and Paid Time Off, • Tuition Reimbursement, • Paid Parental Leave The base salary range for this position is $110,000 to $150,000, along with annual bonus eligibility. Total compensation for a candidate is determined by their relevant skills, location, and experience. We value our teammates – both their capabilities and character – as demonstrated by our amazing culture. NOTE: Compensation will be commensurate with experience. This job description is not intended to be all-inclusive. Team Member may perform other related duties as negotiated to meet the ongoing needs of the organization.

Job DescriptionApply now: AI Engineer , location is hybrid onsite The start date is ASAP for this 1 year contract position. Job Title: AI Engineer Location-Type: Hybrid, 3 days on-site Start Date Is: August 2025 Duration: 1 year Compensation Range: $62.94 to $83.92/hr Job Description: The implementation of AI systems across the company presents a significant opportunity to enhance teaching and learning, research, and administrative operations while freeing operational time and cost for reinvestment. To realize this value, specialized expertise is required that does not currently exist within the central IT organization. The proposed AI Engineer, AI Operations Specialist, and AI Prompt Engineer roles represent critical first capabilities needed to further design, implement, and maintain enterprise grade AI systems and their supporting data pipelines universitywide Requirements : • AI/ML Development Expertise: Strong proficiency in developing and deploying machine learning models and AI systems in production environments, with deep knowledge of contemporary AI frameworks, tools, and best practices., • Software Engineering: Excellent software development skills with proficiency in Python, TensorFlow/PyTorch, and experience with containerized deployments and MLOps practices., • Data Pipeline Engineering: Extensive experience with end-to-end data pipelines using tools like Apache Airflow, Prefect, cloud platforms (AWS, Azure, GCP), data warehousing solutions (Snowflake, Redshift), processing frameworks (Spark, Kafka), and container technologies (Docker, Kubernetes), with proficiency in Python, SQL, and version control/CI/CD practices., • Machine Learning Engineering: Demonstrated experience in the full ML lifecycle including data preparation, feature engineering, model training, validation, deployment, and monitoring in production., • Natural Language Processing: Advanced knowledge of NLP techniques and large language models (LLMs), including prompt engineering, context management, and implementation strategies for enterprise applications., • Cloud Computing: Experience deploying and scaling AI systems in cloud environments (AWS, Azure, or GCP), with knowledge of cloud-native AI services., • Solution Architecture: Ability to design scalable, secure, and efficient AI system architectures that meet enterprise requirements and performance standards. System Integration: Ability to integrate AI solutions with existing enterprise systems, APIs, databases, and authentication services to create cohesive user experiences., • Performance Optimization: Experience optimizing AI models for both accuracy and computational efficiency in resource-constrained environments., • Security Awareness: Knowledge of security best practices for AI systems, including data protection, model security, and prevention of adversarial attacks., • Data Science: Strong understanding of data structures, algorithms, statistical analysis, and data visualization techniques relevant to AI applications., • AI Ethics and Governance: Understanding of ethical considerations in AI development, including bias mitigation, fairness, transparency, and compliance with relevant regulations. Problem-Solving: Exceptional problem-solving skills to troubleshoot complex AI system issues and optimize performance in real-world applications., • Project Management: Ability to manage AI development projects, prioritize tasks, and deliver solutions on schedule and within scope., • Cross-functional Collaboration: Demonstrated ability to work effectively with diverse stakeholders, translating business requirements into technical specifications and explaining technical concepts to non-technical audiences., • Communication Skills: Excellent verbal and written communication skills to document systems, present findings, and collaborate with cross-functional teams., • Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or related field; Master's degree preferred., • Minimum of 5 years of experience in AI/ML engineering roles, with at least 2 years working with production AI systems in enterprise environments., • Experience with AI system implementation in higher education or similar complex organizational settings preferred

Job Description Trellis is a profitable, fast-growing Series A startup backed by General Catalyst, QED, NYCA, and Amex Ventures. We're reimagining how people shop for home and auto insurance, using smart technology to make something historically painful feel refreshingly easy. Every day, we help people save time, money, and unnecessary headaches. Behind the scenes, our fully remote team moves fast, owns their craft, and builds products that genuinely make life better. Led by a three-time fintech founder with a proven track record of going big, we're building something special, and we're just getting started. If you're hungry to make an impact and love solving complex problems with a scrappy crew, you'll love it here. About the Role Trellis is hiring a Senior Machine Learning Engineer to advance our real-time bidding (RTB) systems. You will design, implement, and scale ML models that directly power high-volume bidding decisions across millions of daily ad auctions. This includes end-to-end ownership of the ML lifecycle: data exploration, feature engineering, model training, deployment, and monitoring in production. You'll leverage Google Cloud Platform services (BigQuery, Vertex AI, Dataflow, Pub/Sub) and Python-based ML frameworks (TensorFlow, PyTorch, Scikit-learn) to deliver measurable improvements in bidding efficiency and ROI. This is a fully remote position, based in the US or Canada, and will report directly into the Head of RTB, Thomas Boquet. What You'll Do • Research, design, and implement advanced ML models for conversion rate prediction, value estimation, and pacing., • Build robust feature pipelines with BigQuery and Dataflow, ensuring low-latency inference at scale., • Deploy, monitor, and continuously improve models in production using Vertex AI., • Develop and maintain MLOps frameworks to automate training, evaluation, and deployment., • Partner with backend and distributed systems engineers to integrate models into high-throughput bidding services., • Contribute to experimentation frameworks and AB testing of ML-driven bidding strategies.What You'll Need, • 5+ years of ML engineering experience, including end-to-end deployment in production environments., • Proficiency in Python and ML frameworks (TensorFlow, PyTorch, or Scikit-learn)., • Experience with cloud ML platforms, preferably GCP (Vertex AI, Dataflow, Pub/Sub, BigQuery)., • Familiarity with MLOps practices (CI/CD for ML, monitoring, reproducibility)., • Strong data skills: SQL, feature engineering, and big data processing. We're a team of builders, dreamers, and doers reshaping an industry that touches every household in America. At Trellis, you'll have real ownership, meaningful impact, and the chance to grow alongside a company that's scaling fast. Here's what makes Trellis an incredible place to build your career: * ✨ A flat, transparent culture where your voice actually matters * 🚀 Ground-floor opportunity with room to stretch and grow * 💰 Compensation at the 75th+ percentile * 🏡 100% remote... work from wherever you do your best thinking (In the US or Canada, that is) * 🎉 Quarterly team events that keep our fully remote culture connected and fun And yes, the perks are pretty great too: * 🌴 Flexible vacation (seriously, we want you to take it) * 🩺 100% employer-paid health insurance for employees (65% for dependents) * 💻 Home office budget to set up your perfect workspace • 🧘🏼️‍♂️ Wellness events throughout the year, because we believe in investing in the full human, not just the employee 💸 Automatic 401(k) contribution, FSAs, bonuses, and equity opportunities to invest in your future • 🐣 Paid parental leave 👉 If you're looking for a place where you can do the best work of your career, while building something that actually matters, we'd love to meet you.

Job DescriptionAbout SimpliSafe We're a high-tech home security company that's passionate about protecting the life you've built and our mission of keeping Every Home Secure. And we've created a culture here that cares just as deeply about the career you're building. Ours is a no ego culture of collaboration and innovation where those seeking their next challenge can find big opportunities and make a huge impact on the lives of all those who we protect. We don't just want you to work here. We want you to grow and thrive here. We're embracing a hybrid work model that enables our teams to split their time between office and home. Hybrid for us means we expect our teams to come together in our state-of-the-art office on two core days, typically Tuesday and Wednesday, to work together in person, and teams can choose where they work for the remainder of the week. We all benefit from flexibility and get to use the best of both worlds to get our work done. Why are we hiring? Well, we're growing and thriving. So, we need smart, talented, and humble people who share our values to join us as we disrupt the home security space and relentlessly pursue our mission of keeping Every Home Secure. What You'll Do The Analytics Engineer will work within SimpliSafe's Analytics teams to support analysis that leads to a better experience and a safer home for SimpliSafe customers. They will collaborate closely with data engineering and data analysts across the company. The role involves designing, implementing, documenting and maintaining data sources that allow for efficient collection and evaluation of BI data. To provide answers to the businesses' most critical questions, the analyst will identify, transform and combine data sources, creating dashboards in Tableau to provide visibility into key metrics and to explore relationships between customer data and outcomes of interest. Success is defined as thoughtful, accurate, and timely delivery of key data sources and analysis, both as requested by stakeholders and independently driven. This role provides an excellent opportunity for individuals to provide innovative solutions to our data structure with the opportunity to expand the role further into both analytics and data engineering. Primary responsibilities include: • Work closely with producers of data sources to develop a deep understanding of SimpliSafe's data, how it is populated and stored, and what it means, • Transform raw data sources into data sources that are usable for analyses through ETL best practices, • Build and maintain processes in Python and SQL that create the data sources needed for critical reporting and analysis, • Frequently collaborate with stakeholders in Customer Experience, E-commerce and Marketing to understand their data and analytics needs and develop plans to deliver analyses to satisfy those needs, • Manage a pipeline of business intelligence projects and analyses in Jira, and provide updates and documentation to give visibility to stakeholders, • Build dashboards in Tableau to provide visibility into key business metrics and to visualize analyses, • Help stakeholders understand and interpret relationships between customer data and business outcomes of interest, • Identify opportunities to improve data processes, structures, and analysis; work with team to implement improvements, • Present and/or publish findings from analyses to senior-level stakeholders and executives, • Make tactical improvements to existing data infrastructure, such as standardizing similar data from different sources, identifying areas where existing data is insufficient and forensic data investigations, • Implement and recommend best practices for ETL (extraction, transformation, loading) of data across a variety of data sources for optimal data hygiene What You'll Bring, • Bachelor's degree (preferably in a quantitative field), • Up to 4 years of experience in data analytics or business intelligence, • Strong expertise in SQL, • Proficient in data acquisition and integrations applying ETL, SQL and/or Python scripting, • Proficiency in Tableau (or similar BI platforms), • Proficiency in Microsoft Excel and PowerPoint, • Strong stakeholder management skills, • Interest in innovating our data infrastructure and solutions, • Ability to clearly communicate across all levels of the organization, • Experience building production data pipelines, • Comfort with using (and learning) different tech stacks and solutions, • Experience in ingesting and managing data sets that are messy and/or incomplete What we'd love to see (but isn't required), • Experience working in a consumer products or subscription business, • Experience working with query engines such as Athena, PrestoDB, SnowflakeWhat Values You'll Share, • Customer Obsessed - Building deep empathy for our customers, putting them at the core of our work, and developing strong, long-term relationships with them., • Aim High - Always challenging ourselves and others to raise the bar., • No Ego - Maintaining a "no job too small" attitude, and an open, inclusive and humble style., • One Team - Taking a highly collaborative approach to achieving success., • Lift As We Climb - Investing in developing others and helping others around us succeed. This target annual base pay range represents our good-faith estimate of what we expect to pay for this role. We use a market-based compensation approach to set our target annual base pay ranges and make adjustments annually. We carefully tailor individual compensation packages, including base pay, taking into consideration employees' job-related skills, experience, qualifications, work location, and other relevant business factors. Beyond base pay, we offer a Total Rewards package that may include participation in our annual bonus program, equity, and other forms of compensation, in addition to a full range of medical, retirement, and lifestyle benefits. More details can be found here. We're committed to fair and equitable pay practices, as well as pay transparency. We regularly review our programs to ensure they remain competitive and aligned with our values. We wholeheartedly embrace and actively seek applications from all individuals, no matter how they identify. We are committed to cultivating a diverse and inclusive workplace, and we believe our work is enriched when we incorporate a multitude of perspectives, backgrounds, and experiences. We want everyone who works here to thrive and contribute to not only our mission of keeping every home secure, but also to making our workplace safe and supportive for others. If a reasonable accommodation may be needed to fully participate in the job application or interview process, to perform the essential functions of a position, or to receive other benefits and privileges of employment, please contact .

Job DescriptionDiscovery IT System AdministratorEmployment Type: Full-Time, Executive-LevelDepartment: Legal CGS is seeking a dedicated Discovery IT System Administrator to join a fast-paced and hard-working team to assist with any legal accounts. As a Discovery IT System Administrator, you will play a key role in supporting various aspects of the company's portfolio. CGS brings motivated, highly skilled, and creative people together to solve the government’s most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success:The Contractor shall provide the following services to include but not limited to: - Contractor shall ensure the day-day availability of electronic discovery applications and related tools; - Contractor shall administer and monitor all installed systems and infrastructure, install, configure, test and maintain operating systems, application software and system management tools; - Contractor shall monitor and test application performance for potential bottlenecks, identify possible solutions, and work with vendors and developers to implement fixes; - Contractor shall maintain security, backup, and redundancy strategies; - Contractor shall assist technical architecture design discussions; - Contractor shall liaise with vendors on behalf of OGC to address product issues; - Contractor shall develop and provide training for the end-users; - Contractor shall provide general support, subject matter expertise and advice on the use of electronic discovery tools and applications; - Contractor shall reverse engineer and document the as-is architecture of existing legacy applications or systems; - Contractor shall analyze capabilities, interview and collect business requirements and translate it into technical requirements; - Contractor shall support the discovery application integration/migration activities; - Contractor shall contribute to the Knowledge Management databases by creating and improving technical knowledge articles to assist in future resolution of issues; - Contractor shall have legal technology experience and knowledge of the EDRM; - Contractor shall assist in the implementation of e-discovery tools ( i.e. Relativity, Veritas eDP, or other review platform applications hosted in the cloud environment; - Contractor shall have the skills, knowledge and abilities to support backend infrastructure, data migrations, application installation, management and configuration; - Contractor shall have the ability to install, operate, and manage Microsoft server 2019/2022 and Microsoft SQL Server 2019/2022; - Contractor shall have ability to operate, and manage cloud technologies to include Microsoft Azure, Amazon AWS, VMware, Azure servers, Azure Functions, and Azure API Gateways and/or AWS EC2 servers, AWS Lambda and AWS API Gateways; - Contractor shall have ability to operate and manage relational databases, MySQL and/or SQL Server 2012 or higher. Our Commitment:Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client’s specific needs. We are committed to solving the most challenging and dynamic problems. For the past seven years, we’ve been growing our government-contracting portfolio, and along the way, we’ve created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work.Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package.- Health, Dental, and Vision- Life Insurance- 401k- Flexible Spending Account (Health, Dependent Care, and Commuter)- Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of government innovation!Explore additional job opportunities with CGS on our Job Board: more information about CGS please visit: or contact:Phone: +1 (888) 680-5916Email: #CJ We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description A privately held, life sciences supplier and contract research organization that is rapidly growing and evolving is looking to automate their processes and equipment. We are looking for an Automation Engineer. Experience with Hamilton Liquid Handlers is preferred. The ideal candidate will have strong problem solving, debugging and documentation skill sets, as well as strong communication and personal skills to thrive in a team environment. This position is responsible for understanding the manufacturing process, gathering requirements, developing and validating new automated systems. The major focus will be on liquid handling systems and equipment that integrates with the liquid handlers. · Responsibilities: • Development of automated workflows for cell and tissue culture applications., • Implement laboratory instrument software and tools to drive high throughput processes., • Optimize and validate protocols to support scale up., • Develop application-specific protocols for liquid handlers and other instrumentation., • Perform troubleshooting and other sustaining activities to keep automated solutions operating optimally. · Work collaboratively with our manufacturing group to develop and validate application-specific protocols on Hamilton Vantage and other complex automated instrumentation, including integration of third-party devices. · Perform preventative maintenance, repair and troubleshoot automation systems in compliance with Good Manufacturing Principles (cGMPs). · Provide training on use, maintenance and troubleshooting of automation equipment to staff with varying scientific and automation skills. · Design solutions to improve manufacturing performance (cycle time, reliability, etc.) and to ensure quality and stability of automation systems through future expansions, upgrades and/or replacements. · Maintain proper documentation to ensure all maintenance and validations are compliant. · Prepare and write standard operating procedures (SOPs) and support manuals. Preferred Qualifications • BS with 5+ years or MS with 2+ years of relative work experience, in engineering, bioengineering, computer science or applied science field., • Programming expertise with commercial laboratory automation software is required (Hamilton Vantage, Sartorius, preferred)., • Programming knowledge in .NET (VB, C#, ASP), JavaScript, SQL Server, VBA Excel, and Matlab are highly desired., • A proven ability to troubleshoot technical and scientific issues, both individually and as a team., • Excellent organizational and documentation skills

Job Description Gradient AI: Gradient AI is revolutionizing Group Health and P&C insurance with AI-powered solutions that help insurers predict risk more accurately, improve profitability, and automate underwriting and claims. Our SaaS platform taps into one of the industry's largest data lakes—tens of millions of policies and claims—to deliver deep, actionable insights. Trusted by leading carriers, MGAs, TPAs, and self-insured employers, Gradient AI has grown rapidly since our founding in 2018. Backed by $56M in Series C funding, we're scaling fast—and it's an exciting time to join the team. About the Role: At Gradient AI, we are transforming insurance with advanced machine learning and rich data. As a Senior Data Scientist, you will help shape the future of our underwriting products in the healthcare or care management space by turning complex data into real value for our customers. You will work closely with a talented and supportive team to research user needs, prototype new ideas, build production models, and deliver intelligent solutions at scale. If you enjoy solving real problems with real impact in a collaborative and fast-moving environment, this is the role for you! This is a fully remote opportunity. How you will make an impact: • Design, develop, and implement predictive models for underwriting and patient care management, utilizing machine learning and deep learning techniques., • Analyze large datasets to identify trends, patterns, and anomalies that can inform underwriting decisions and enhance patient care strategies., • Work closely with cross-functional teams, including product management, data engineering, software engineering, actuarial consulting, clinical, and IT, to understand business needs and translate them into data-driven solutions., • Bachelor's degree in Computer Science, Data Science, Biostatistics, Mathematics, or similar related field AND 8+ years of professional data science experience building health insurance underwriting or care management solutions, • Advanced proficiency in Python and its core data science ecosystem (e.g., Pandas, NumPy, Scikit-learn, LightGBM, etc.), • Hands-on experience with deep learning frameworks such as PyTorch or TensorFlow, and an understanding of modern architectures (e.g., Transformers, Neural Networks, LLMs)., • Strong technical communication and collaboration skills, particularly communicating with nontechnical stakeholders and working collaboratively with engineering/product teams to meet project goals and timelines, • Proficiency analyzing and building model utilizing health insurance claims data, electronic medical records, or similar patient health and prescription data., • Fluency in SQL, Relational databases, and Databricks, • Fluency with actuarial methods and working with actuaries is a plus, • A fun, team-oriented startup culture., • Generous stock options - we all get to own a piece of what we're building., • Unlimited vacation days., • Flexible schedule that supports working from home., • Full benefits package includes medical, dental, vision, 401k, paid paternal leave, and more.

Job Description Trellis is a profitable, fast-growing Series A startup backed by General Catalyst, QED, NYCA, and Amex Ventures. We're reimagining how people shop for home and auto insurance, using smart technology to make something historically painful feel refreshingly easy. Every day, we help people save time, money, and unnecessary headaches. Behind the scenes, our fully remote team moves fast, owns their craft, and builds products that genuinely make life better. Led by a three-time fintech founder with a proven track record of going big, we're building something special, and we're just getting started. If you're hungry to make an impact and love solving complex problems with a scrappy crew, you'll love it here. About the Role Trellis is hiring a Senior Data Scientist to drive exploratory analysis and model development for data-scarce and emerging problems in our Real-Time Bidding (RTB) and pricing systems. You'll focus on understanding the limits and potential of smaller datasets – helping the team quickly assess which projects are viable, what data needs to be improved, and where machine learning can scale impact. You'll design and conduct exploratory studies, create transparent analytical reports, and build research-grade models that inform business decisions and evolve into production-ready systems. This role sits at the intersection of analytics, modeling, and product – collaborating closely with ML engineers, software engineers, and BI to turn ambiguous problems into scalable solutions. This is a fully remote position, based in the US or Canada, reporting directly to the Head of RTB, Thomas Boquet. We believe in paying competitively for great work. As a remote team, we set our salaries at the 75th percentile of national market data in our industry. You can count on your pay being in line with (or above) the market. For this role, the base salary range is $210,000-225,000. We review compensation twice a year to make sure we're staying competitive and rewarding our team's contributions. What You'll Do • Perform deep exploratory analysis to assess project feasibility and uncover data quality or coverage issues., • Build clear, reproducible Jupyter or Colab notebooks that communicate insights visually and narratively., • Partner with product and engineering to understand data generation processes and identify gaps., • Develop statistical and ML models (scikit-learn, statsmodels, TensorFlow, PyTorch) for pricing and bidding use cases., • Prototype predictive models that can be scaled by the ML engineering team into production systems., • Leverage Vertex AI or equivalent tools for experimentation, training, and deployment workflows., • Create visualizations using Python (Plotly, Matplotlib, or Seaborn) to communicate key findings effectively., • Contribute to a culture of analytical rigor, documentation, and rapid experimentation.What You'll Need, • 5+ years of experience as a data scientist or applied researcher, ideally in tech, fintech, or advertising., • Strong statistical foundation with hands-on experience using scikit-learn, statsmodels, TensorFlow, or PyTorch., • Proven ability to perform exploratory data analysis (EDA) and communicate findings clearly through notebooks and visualization., • Experience using Vertex AI, SageMaker, or other ML lifecycle platforms for experimentation and model deployment., • Fluency in SQL and Python data tooling (pandas, NumPy, Plotly, etc.). We're a team of builders, dreamers, and doers reshaping an industry that touches every household in America. At Trellis, you'll have real ownership, meaningful impact, and the chance to grow alongside a company that's scaling fast. Here's what makes Trellis an incredible place to build your career: * ✨ A flat, transparent culture where your voice actually matters * 🚀 Ground-floor opportunity with room to stretch and grow * 💰 Compensation at the 75th+ percentile * 🏡 100% remote... work from wherever you do your best thinking (In the US or Canada, that is) * 🎉 Quarterly team events that keep our fully remote culture connected and fun And yes, the perks are pretty great too: * 🌴 Flexible vacation (seriously, we want you to take it) * 🩺 100% employer-paid health insurance for employees (65% for dependents) * 💻 Home office budget to set up your perfect workspace • 🧘🏼️‍♂️ Wellness events throughout the year, because we believe in investing in the full human, not just the employee 💸 Automatic 401(k) contribution, FSAs, bonuses, and equity opportunities to invest in your future • 🐣 Paid parental leave 👉 If you're looking for a place where you can do the best work of your career, while building something that actually matters, we'd love to meet you.

Job Description Enabling safe and rewarding digital lives for genuine people, everywhere We make it our mission to ensure more genuine people have digital access to opportunities, and businesses have access to more genuine people. Our technology draws on diverse and reliable data to create a single point of truth for identity and address verification. With over 30 years of experience behind us our team and technology are focused on enabling safe and rewarding digital lives for everyone. Regardless of age, location or background, genuine people everywhere should be able to digitally prove who they are and where they live. About the team and role Data Scientist, Go-to-Market Analytics Join GBG's Go-to-Market data science team and shape the future of how we demonstrate value to our prospective customers! In this role, you’ll help improve the critical process of analyzing customer evaluations, transforming raw data into compelling ROI narratives and business cases that directly influence purchasing decisions. You’ll play a pivotal role in automating insights from data studies, accelerating deal closures, and enhancing product intelligence. This is a unique opportunity to blend analytical rigor, strategic thinking, and customer interaction. This is a remote position with a strong preference for candidates in the Atlanta metropolitan area. Travel for team collaboration, process workshops, and stakeholder meetings may be required (estimated 20-25%). What you will do Customer Evaluation Analytics • Translate customer evaluation data into clear, compelling insights that demonstrate solution value to prospective customers, • Support the development of standardized ROI frameworks to quantify business impact across customer profiles, • Assist in creating automated reports that showcase key findings and value propositions for prospective customer presentations Process Automation & Scale • Build templated analyses that can be adapted for different industries and customer segments, • Contribute to automating analytical workflows to reduce manual effort and improve consistency, • Support the design of scalable processes that align with the organization’s growth and evolving needs Product Intelligence & Feedback Loops • Aggregate insights across customer evaluations to uncover market trends and strategic opportunities, • Help establish feedback loops that channel customer insights to the Product team for product enhancement Skills we are looking for Technical Foundation • 3+ years of hands-on experience in data science, with demonstrated success in customer-facing analytics or process automation roles, • Expert proficiency in Python/R, SQL, and statistical analysis libraries (pandas, scikit-learn, etc.), • Experience with data visualization tools (Quicksight, Tableau, Power BI, or similar), • Familiarity with cloud platforms (AWS, Azure, or GCP) and modern data stack tools, • Masters of PhD (preferred) in Data Science or equivalent Bonus Qualifications • Sales engineering or customer-facing technical role experience, • Domain expertise in identity verification, fraud detection, and/or financial services, • Experience presenting technical findings to prospects or clients during sales processes Business Acumen • Experience analyzing customer data and translating technical findings into compelling business narratives, • Knowledge of statistics, predictive modeling, and ROI calculation frameworks, • Ability to create presentations that communicate value propositions to both technical and business stakeholders, • Familiarity with cross-functional collaboration processes Professional Qualities • Initiative and ownership - You identify problems and solve them without being asked, • Automation mindset - You are eager to support scalable, repeatable processes for data analysis, • Communication skills - You can present complex findings to both technical and business audiences, • Collaboration - You work effectively with cross-functional teams and build strong relationships Benefits To find out more As an equal opportunity employer, we are dedicated to creating a diverse and inclusive workplace where everyone feels valued and empowered. Please inform your GBG Talent Attraction Partner if you require any reasonable adjustments to the interview process. To chat to the Talent Attraction team and find out more about our benefits and why we’re a great place to work, drop an email to and we’ll be in touch. You can also find out more about careers at GBG and check out our current opportunities at gbgplc.com/careers.

Job Description Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. Xometry is seeking a highly analytical and data-driven Data Scientist II with statistical skills and a passion for data to drive improvements in technology. This role will be pivotal in leveraging data to optimize product performance, drive strategic decisions, and continuously improve our user experience through rigorous testing. You will delve deeply into product data, design and analyze experiments, and provide actionable insights that directly impact our product roadmap. Workcenter is a full suite of offerings across the quote-to-cash process, enabling manufacturers to source and consolidate work, manage operations, monitor performance, and secure cash flow all in one secure platform. Responsibilities: • Advanced Analytics: Conduct comprehensive analysis of product usage, user behavior, and performance metrics to identify opportunities for improvement., • Experimentation Design & Management: Design, implement, and manage A/B tests, causal analysis and other experiments. Define clear hypotheses, target segments, and success metrics., • Experimentation Analysis: Analyze experiment results using statistical methods, providing detailed reports and recommendations. Identify statistically significant findings and translate them into actionable insights., • KPI Definition & Tracking: Define key performance indicators (KPIs) and establish robust tracking and reporting mechanisms., • Dashboarding & Visualization: Develop and maintain dashboards to visualize experiment results, key metrics, and trends, making data accessible and understandable to stakeholders., • Collaboration: Work closely with product managers, engineers, designers, and machine learning scientists to implement and iterate on experiment findings and product improvements., • Data Storytelling: Communicate complex data insights and experiment results clearly and compellingly to diverse audiences, including leadership., • Data Integrity: Ensure data accuracy and integrity for all analysis and experimentation., • Bachelors Degree in Computer Science, Computer Engineering, Analytics, Mathematics, Statistics, Information Systems, Economics, or other quantitative discipline, • 3+ years of relevant experience., • Strong proficiency in data analysis, statistical modeling, and data visualization., • Proven experience in designing, implementing, and analyzing A/B tests and other experiments., • Solid understanding of statistical significance and hypothesis testing., • SQL is a must. Python is nice to have. Any experience with Looker is also desirable, • Knowledge of data science concepts and methodologies., • Excellent communication and presentation skills, with the ability to explain complex data insights., • Strong analytical and problem-solving skills., • Experience working in a product-driven environment., • Attention to detail and a commitment to data accuracy. #LI-Hybrid Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

Job Description Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. Xometry is adding a Data Scientist II to our sourcing team. The ideal candidate will have a passion for using machine learning tools and techniques to construct, optimize, and evaluate predictive models that predict the likelihood of different business outcomes. Additionally, this person will use their knowledge of probability and statistics to make defensible statistical inferences from data. Responsibilities: • Use data science and machine learning principles to develop effective predictive models, • Write software to prepare, clean, and sample data for use in developing predictive models, • Use cloud resources (e.g., Amazon Web Services) to prepare and process data, • Query and extract data from databases (Snowflake), • Use data analysis and visualization tools (examples include SQL, Python, Jupyter Notebooks, and Looker) to inform the business strategy, • Relentlessly iterate solutions within a fast-paced environment where ambiguity is the norm, • Solve challenging, uncharted problems, • Bachelor's degree required; degree in applied math, computer science, natural sciences or engineering preferred, • M.S. or Ph.D. in a related field highly desired, • 3+ years of experience with machine learning, statistical modeling, and optimization techniques, • Fluent in Python (pandas, numpy, SciPy, and scikit-learn preferred), • Proficient in linear algebra and statistics, • Familiar with scientific software principals, e.g. versioning systems, reproducibility, • Experience in the manufacturing industry is desired, • Must be a US Citizen or Green Card holder (ITAR) #LI-Hybrid Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

Job Description At OneStudyTeam (a Reify Health company), we specialize in speeding up clinical trials and increasing the chance of new therapies being approved with the ultimate goal of improving patient outcomes. Our cloud-based platform, StudyTeam, brings research site workflows online and enables sites, sponsors, and other key stakeholders to work together more effectively. StudyTeam is trusted by the largest global biopharmaceutical companies, used in over 6,000 research sites, and is available in over 100 countries. Join us in our mission to advance clinical research and improve patient care. One mission. One team. That's OneStudyTeam. By joining our team as a Senior Machine Learning Engineer, you will play a pivotal role in building cutting-edge AI products that directly impact how new therapies reach patients. We're looking for an experienced ML engineer who is passionate about turning advanced AI research into scalable, real-world solutions. You thrive on solving complex problems, pay close attention to detail, and consistently seek to automate and improve processes. You shine as a collaborator and excel as an individual contributor, with the courage to tackle challenging problems and the humility to learn and adapt. Your initiative and discipline allow you to thrive while working remotely, and your high degree of empathy and communication skills makes you the kind of colleague everyone wants on their team. As an integral member of our fast-growing organization, you will leverage AI to transform clinical research and improve patient care. What You'll Be Working On: • Build and deploy AI-driven products that accelerate clinical trials and improve patient outcomes. Your work will deliver scalable machine learning solutions to complex, real-world problems in clinical research., • Develop advanced ML models and LLM-powered agents for critical use cases like patient recruitment, enrollment forecasting, and study feasibility. You'll also help expand our AI knowledge base architecture to support these innovative solutions., • Leverage modern cloud tools and MLOps best practices to build robust data pipelines and deploy models at scale. You'll use technologies like Python (and Clojure), AWS services (Athena, Bedrock, SageMaker, etc.), dbt, Prefect, and CI/CD automation with monitoring to ensure models are reliable and up-to-date., • Collaborate across teams of data scientists, product managers, designers, engineers, and domain experts to integrate AI capabilities into our platform (including Care Access products). Ensure these AI solutions seamlessly support and enhance clinical research workflows for end-users., • Continuously learn and innovate. Stay up-to-date with the latest developments in ML/AI (LLMs, NLP, probabilistic modeling, etc.) and proactively bring new ideas to the team. You'll have the freedom to experiment with cutting-edge techniques and turn promising prototypes into production features that drive our mission forward.What You'll Bring to OneStudyTeam:, • Extensive ML engineering experience: 5+ years of hands-on experience building and deploying machine learning solutions in production at scale. Proven ability to implement end-to-end ML pipelines from data ingestion to model serving for real-world applications used by real people., • Strong programming and data skills: Proficiency in Python and its ML ecosystem (pandas, scikit-learn, TensorFlow/PyTorch), with clean and efficient coding practices. Comfortable working with large datasets, writing complex SQL queries, and leveraging modern data processing frameworks. Experience with functional programming (e.g. Clojure) is a plus but not required., • Cloud and MLOps expertise: Experience with modern cloud infrastructure (AWS or similar) and containerization tools like Docker. Familiarity with MLOps best practices such as CI/CD pipelines, automated testing, and monitoring model performance/data drift to ensure reliable, scalable deployments., • Deep ML/AI knowledge: Strong understanding of machine learning fundamentals (model selection, training, evaluation, feature engineering) and statistical modeling. Familiarity with NLP and large language models is important., • Analytical problem-solving: Ability to break down complex problems and devise effective, efficient ML solutions. You balance pragmatic engineering with scientific rigor, ensuring models are not only accurate but also performant and maintainable in production. Note: OneStudyTeam is unable to sponsor work visas at this time. If you are a non-U.S. resident applicant, please note that OneStudyTeam works with a Professional Employer Organization. As a condition of employment, you will abide by all organizational security and privacy policies. This organization participates in E-Verify (E-Verify's Right to Work guidance can be found here).

Job Description This Biomedical Data Scientist will help develop, deploy, maintain, and effectively use tools for the analysis of all-optical electrophysiology data. This role will have a special emphasis on development of novel optical assays of neuronal electrophysiology, which will involve image processing, signal processing, and rapid prototyping. The successful applicant will work as part of a small, close-knit team at the hub of Quiver’s scientific programs to derive actionable insights from a broad range of relevant biomedical data modalities, including the company’s proprietary all-optical electrophysiology data and other genomics/omics and imaging data sets. The candidate will also work on projects integrating complementary data streams. (e.g., transcriptomics, high-content imaging, clinical datasets, etc.) using knowledge graphs or advanced statistical, machine learning, and AI methods. The ideal candidate will be a thoughtful and creative programmer with expertise in advanced statistical approaches, machine learning and AI methodologies. The candidate should be eager to gain practical experience across all stages of the software lifecycle and motivated to learn expansively across a wide array of skills and problem domains. Quiver Bioscience is a technology-driven company established to create transformational medicines for the brain. We combine proprietary single-cell functional assays with other multi-modal measurements to discover new biology and new drug targets. We take advantage of cutting-edge AI/ML to build the world’s most information-rich maps of neuronal function to drive our drug discovery programs. This position is based in Cambridge, MA, with the expectation of on-site presence 3-4 days per week to support lab integration, team meetings, and collaborative project work. Fully remote applicants will not be considered. Responsibilities and Duties • Analyze electrophysiological (and other biological) data to serve research project goals. Make effective visualizations, draw sound inferences from complex experiments, assist biologists with experimental design and implementation, conduct reproducible analyses, and disseminate analytics findings with biologists and other stakeholders., • Contribute to all aspects of analytics software development including design, implementation, source control, performance optimization, unit testing, defect management, documentation, and ongoing maintenance and support., • Proficiently manage timelines, relationships, and work priorities to comfortably operate independently to make an impact., • Utilize excellent interpersonal skills to build consensus, share insights with relevant stakeholders, deliver interpretable data products, and serve both business and scientific goals of the company with your work. Minimum Qualifications Required • PhD degree or corresponding demonstrable professional experience in Data Science, Computer Science, Neuroscience, (Bio)Statistics, Physics, Computer vision, Electrical engineering, Mathematics, or related technical discipline (e.g., engineering, science, or biology with a strong quantitative flavor)., • Experience with image processing, video processing, signal processing, or time series analysis., • Comfort with multiple programming languages and computational APIs (the role will utilize Python, Matlab, R, git, SQL, and AWS, among others)., • Experience developing complex data pipelines or analysis tools., • Broad experience with commonly used data science and machine learning toolkits, libraries, and frameworks (sklearm, pytorch, statsmodels etc)., • Experience integrating complementary data streams. (e.g., transcriptomics, high-content imaging, clinical datasets, etc.) using knowledge graphs or advanced statistical, machine learning, and AI methods., • High level of creativity, with a passion for neuroscience or other biomedical fields., • Excellent skills in the areas of verbal/written communication, problem solving, and leadership. Additional Qualifications Desired • Knowledge and experience in biophysics, physiology, or neuroscience, especially electrophysiology, high-content imaging, or computational neuroscience., • Experience working with single-cell data of any modality., • Comfortable with linear algebra and probability theory., • Experience with statistical analysis and techniques for inference (including regression, splines/smooths, bootstrap and permutation methods, power analysis, theory of experimental design etc)., • Experience with deep-learning and neural network models, including modern convolutional models, unsupervised /self-supervised learning approaches, data augmentation, and current best-practices for training and optimization., • Experience with cheminformatics approaches (molecular fingerprints, similarity searches, etc.)Company DescriptionQuiver Bioscience was built to create transformational medicines for patients living with disorders of the brain. Utilizing our human disease models, novel AI, and the best-in-world platform, we stand as the premier partner in the journey from target discovery to the clinic.Quiver Bioscience was built to create transformational medicines for patients living with disorders of the brain. Utilizing our human disease models, novel AI, and the best-in-world platform, we stand as the premier partner in the journey from target discovery to the clinic.

Job DescriptionAbout SimpliSafe We're a high-tech home security company that's passionate about protecting the life you've built and our mission of keeping Every Home Secure. And we've created a culture here that cares just as deeply about the career you're building. Ours is a no ego culture of collaboration and innovation where those seeking their next challenge can find big opportunities and make a huge impact on the lives of all those who we protect. We don't just want you to work here. We want you to grow and thrive here. We're embracing a hybrid work model that enables our teams to split their time between office and home. Hybrid for us means we expect our teams to come together in our state-of-the-art office on two core days, typically Tuesday and Wednesday, to work together in person, and teams can choose where they work for the remainder of the week. We all benefit from flexibility and get to use the best of both worlds to get our work done. Why are we hiring? Well, we're growing and thriving. So, we need smart, talented, and humble people who share our values to join us as we disrupt the home security space and relentlessly pursue our mission of keeping Every Home Secure. What You'll Do The Senior Analytics Engineer will work within SimpliSafe's Analytics teams to support analysis that leads to a better experience and a safer home for SimpliSafe customers. They will collaborate closely with data engineering and data analysts across the company. The role involves designing, implementing, documenting and maintaining data sources that allow for efficient collection and evaluation of BI data. To provide answers to the businesses' most critical questions, the analyst will identify, transform and combine data sources, creating dashboards in Tableau to provide visibility into key metrics and to explore relationships between customer data and outcomes of interest. Success is defined as thoughtful, accurate, and timely delivery of key data sources and analysis, both as requested by stakeholders and independently driven. This role provides an excellent opportunity for individuals to provide innovative solutions to our data structure with the opportunity to expand the role further into both analytics and data engineering. Primary responsibilities include: • Work closely with producers of data sources to develop a deep understanding of SimpliSafe's data, how it is populated and stored, and what it means, • Transform raw data sources into data sources that are usable for analyses through ETL best practices, • Build and maintain processes in Python and SQL that create the data sources needed for critical reporting and analysis, • Frequently collaborate with stakeholders in Customer Experience, E-commerce, Marketing, Finance, Supply Chain and Product to understand their data and analytics needs and develop plans to deliver analyses to satisfy those needs, • Manage a pipeline of business intelligence projects and analyses in Jira, and provide updates and documentation to give visibility to stakeholders, • Build dashboards in Tableau to provide visibility into key business metrics and to visualize analyses, • Help stakeholders understand and interpret relationships between customer data and business outcomes of interest, • Identify opportunities to improve data processes, structures, and analysis; work with team to implement improvements, • Present and/or publish findings from analyses to senior level stakeholders and executives, • Make tactical improvements to existing data infrastructure, such as standardizing similar data from different sources, identifying areas where existing data is insufficient and forensic data investigations, • Implement and recommend best practices for ETL (extraction, transformation, loading) of data across a variety of data sources for optimal data hygieneWhat You'll Bring, • Bachelor's degree (preferably in a quantitative field), • 4+ years of experience in analytics engineering, data analytics or data engineering, • Strong expertise in SQL, • Proficient in data acquisition and integrations applying ETL, SQL and/or Python scripting, • Proficiency in Tableau (or similar data visualization tools), • Strong stakeholder management skills, • Interest in innovating our data infrastructure and solutions, • Ability to clearly communicate across all levels of the organization, • Experience building production data pipelines, • Comfort with using (and learning) different tech stacks and solutions, • Experience in ingesting and managing data sets that are messy and/or incomplete What we'd love to see (but isn't required), • Experience working in a consumer products or subscription business, • Experience working with query engines such as Athena, PrestoDB, Snowflake, • Experience working with data orchestration tools such as Airflow, Dagster, PrefectWhat Values You'll Share, • Customer Obsessed - Building deep empathy for our customers, putting them at the core of our work, and developing strong, long-term relationships with them., • Aim High - Always challenging ourselves and others to raise the bar., • No Ego - Maintaining a "no job too small" attitude, and an open, inclusive and humble style., • One Team - Taking a highly collaborative approach to achieving success., • Lift As We Climb - Investing in developing others and helping others around us succeed. This target annual base pay range represents our good-faith estimate of what we expect to pay for this role. We use a market-based compensation approach to set our target annual base pay ranges and make adjustments annually. We carefully tailor individual compensation packages, including base pay, taking into consideration employees' job-related skills, experience, qualifications, work location, and other relevant business factors. Beyond base pay, we offer a Total Rewards package that may include participation in our annual bonus program, equity, and other forms of compensation, in addition to a full range of medical, retirement, and lifestyle benefits. More details can be found here. We're committed to fair and equitable pay practices, as well as pay transparency. We regularly review our programs to ensure they remain competitive and aligned with our values. We wholeheartedly embrace and actively seek applications from all individuals, no matter how they identify. We are committed to cultivating a diverse and inclusive workplace, and we believe our work is enriched when we incorporate a multitude of perspectives, backgrounds, and experiences. We want everyone who works here to thrive and contribute to not only our mission of keeping every home secure, but also to making our workplace safe and supportive for others. If a reasonable accommodation may be needed to fully participate in the job application or interview process, to perform the essential functions of a position, or to receive other benefits and privileges of employment, please contact .

Job DescriptionWHOOP is an advanced health and fitness wearable, on a mission to unlock human performance and healthspan. WHOOP empowers its members to improve their health and perform at a higher level by providing a deep understanding of their bodies and daily lives. The Health team is responsible for developing novel algorithms and features that expand our health capabilities. Our work spans several key areas, including women’s health, medical device–grade metrics, wellness monitoring, longevity research, and emerging health insights. We combine continuous physiological data with clinical research and expert knowledge to generate features that are both scientifically grounded and deeply impactful for members. As a Senior Machine Learning Engineer on our Health team, you will design, build, and productionize ML systems that deliver meaningful, personalized health metrics to millions of members. You will work at the intersection of data science, backend engineering, and cloud infrastructure—deploying robust, scalable, and reliable ML solutions built on physiological and behavioral data streams. This role emphasizes strong coding skills, system design, and the ability to deliver production-ready ML services.RESPONSIBILITIES: • Create, improve, and maintain production services that provide analysis for health features in collaboration with Data Scientists and MLOps Engineers., • Collaborate with Data Engineers to improve ML data pipelines, tooling, and validation systems that support robust model performance., • Work alongside data scientists to translate research prototypes into production ML systems optimized for scale, latency, and cost efficiency., • Collaborate with researchers and product teams to align model development with health insights and member impact., • Participate in on-call rotations for data science services, ensuring uptime and performance in production environments.QUALIFICATIONS:, • Bachelor’s Degree in Computer Science, Data Science, Applied Mathematics, or a related field. Master’s preferred., • 5+ years of professional experience as a Machine Learning Engineer or Software Engineer with focus on ML systems., • Proven expertise working with time series data (wearable, physiological, or high-frequency sensor data strongly preferred)., • Experience designing and deploying ML inference systems at scale: both real-time streaming and large-scale batch pipelines., • Strong coding skills in Python (scientific stack) and SQL, with a track record of writing clean, production-quality code., • Strong communication skills to collaborate across engineering, research, and product teams., • Proven experience deploying and maintaining ML systems on cloud platforms (AWS or GCP), • Working familiarity with MLOps best practices: model versioning, CI/CD for ML, observability, and monitoring for inference systems., • Ability to reason about and design for performance trade-offs (latency vs. throughput vs. cost) when building ML inference systems.

Job Description Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. Xometry is an on-demand manufacturing marketplace that leverages machine learning (ML) techniques to predict the manufacturing cost of machined parts and produce automated buy it now prices on Xometry.com. Customers love our instant quoting engine, and that engine depends on Xometry's ML team and technology. We need a strong data scientist leader to manage our ML & data science research & development and evolve the services that make up the backbone of Xometry's business. The successful candidate will bring experience as a data scientist and machine learning leader working for a company where "AI" is considered core to the company's success. They should have experience bringing new ML models to the market as part of an online platform. They should be comfortable leading a technical team, working with product and executive stakeholders with excellent communication and stakeholder management skills - particularly when bridging technical and non-technical audiences. We have a lot of ideas on how we can improve these systems. We need help connecting these ideas to business metrics, prioritizing them with input from stakeholders into a roadmap, executing efficiently from research to bringing ML models to market, and providing proactive communication on the vision/direction and status of the work. Responsibilities: • Serve as a strategic leader as part of our data science & machine learning team, with responsibility for Xometry's pricing strategy, • Build collaborative relationships with key stakeholders; set priorities aligned to business goals; communicate analysis, strategies, timelines, and work of the data science & machine learning team, and gain buy-in from executive leadership, • Incorporate internal and external feedback to iterate and evolve ML models, • Practice outcome-oriented/KPI-driven team management: Define metrics that lead to business goals and report on the outcomes of your efforts, • Lead complex, cross-team projects to deliver on our product & ML strategy, with a singular focus on driving business results, • Play a crucial role in exploring new machine learning opportunities, researching and performing proof of concepts, and bringing new machine learning and AI solutions into Xometry's platform, • Develop and implement machine learning models that improve Xometry's ability to predict cost, price, and sourcing options for our customers and suppliers., • Responsible for leading the evaluation of emerging technologies, identifying areas for improvement, and developing new features while ensuring the reliability and scalability of Xometry's platform, • Lead the exploration of emerging AI and machine learning technologies and develop proof-of-concepts to assess their potential impact on Xometry's platform, • Collaborate with cross-functional teams to gather requirements, prioritize features, and define technical solutions based on the latest innovations, • Monitor machine learning models and AI performance and troubleshoot issues as they arise, • 8+ years experience developing and implementing machine learning algorithms, ideally within an online marketplace, • Excellent understanding of scalable architectures and thrive working in Agile environments, • Recognized expertise in the areas of marketplace optimization and pricing theory, • Ability to apply and implement research concepts, ultimately in production quality code, • Experience defining clear, testable research hypotheses, including intended impact on the business, • Deep knowledge of design of experiments, online experimentation approaches at scale, • Ability to formulate and advocate for R&D objectives and results to multi-functional team members including executive business leadership and product management, • Experience with your machine learning models running in a real production environment, • Experience in end-to-end model development and deployment lifecycle i.e., from prototyping to model development and putting models into production, • Strong experience with Python/R, forecasting methodologies, machine learning and statistics,, • Experience with SQL and cloud technologies like Snowflake, Google BigQuery, Databricks, presto etc.,, • Strong fluency in Python and SQL, experience with Tensorflow, PyTorch, Airflow and data warehouse, • PhD in a quantitative field (or BS/MS with equivalent work experience), • Mission-driven, positive attitude, and ability to motivate others, • Must be a US citizen, green card holder, or a legal permanent resident of the United States #LI-Hybrid Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

Job Description Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. Xometry is seeking a Senior Data Scientist to our sourcing team. The ideal candidate will have a passion for using machine learning tools and techniques to construct, optimize, and evaluate predictive models that predict the likelihood of different business outcomes. Additionally, this person will use their knowledge of probability and statistics to make defensible statistical inferences from data. Responsibilities: • Use data science and machine learning principles to develop effective predictive models, • Write software to prepare, clean, and sample data for use in developing predictive models, • Use cloud resources (e.g., Amazon Web Services) to prepare and process data, • Query and extract data from databases (Snowflake), • Use data analysis and visualization tools (examples include SQL, Python, Jupyter Notebooks, and Looker) to inform the business strategy, • Relentlessly iterate solutions within a fast-paced environment where ambiguity is the norm, • Solve challenging, uncharted problems, • Bachelor's degree required; degree in applied math, computer science, natural sciences or engineering preferred, • M.S. or Ph.D. in a related field highly desired, • 5+ years of experience with machine learning, statistical modeling, and optimization techniques, • Fluent in Python (pandas, numpy, SciPy, and scikit-learn preferred), • Proficient in linear algebra and statistics, • Familiar with scientific software principals, e.g. versioning systems, reproducibility, • Experience in the manufacturing industry is desired, • Must be a US Citizen or Green Card holder (ITAR) #LI-Hybrid Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

Job DescriptionSenior Discovery IT System AdministratorEmployment Type: Full-Time, Executive-LevelDepartment: Legal CGS is seeking a dedicated Senior Discovery IT System Administrator to join a fast-paced and hard-working team to assist with any legal accounts. As a Senior Discovery IT System Administrator, you will play a key role in supporting various aspects of the company's portfolio. CGS brings motivated, highly skilled, and creative people together to solve the government’s most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success:The Contractor shall provide the following services to include but not limited to: - Contractor shall ensure the day-day availability of electronic discovery applications and related tools; - Contractor shall administer and monitor all installed systems and infrastructure, install, configure, test and maintain operating systems, application software and system management tools; - Contractor shall monitor and test application performance for potential bottlenecks, identify possible solutions, and work with vendors and developers to implement fixes; - Contractor shall maintain security, backup, and redundancy strategies; - Contractor shall assist technical architecture design discussions; - Contractor shall liaise with vendors on behalf of OGC to address product issues; - Contractor shall develop and provide training for the end-users; - Contractor shall provide general support, subject matter expertise and advice on the use of electronic discovery tools and applications; - Contractor shall reverse engineer and document the as-is architecture of existing legacy applications or systems; - Contractor shall analyze capabilities, interview and collect business requirements and translate it into technical requirements; - Contractor shall support the discovery application integration/migration activities; - Contractor shall contribute to the Knowledge Management databases by creating and improving technical knowledge articles to assist in future resolution of issues; - Contractor shall have legal technology experience and knowledge of the EDRM; - Contractor shall assist in the implementation of e-discovery tools ( i.e. Relativity, Veritas eDP, or other review platform applications hosted in the cloud environment; - Contractor shall have the skills, knowledge and abilities to support backend infrastructure, data migrations, application installation, management and configuration; - Contractor shall have the ability to install, operate, and manage Microsoft server 2019/2022 and Microsoft SQL Server 2019/2022; - Contractor shall have ability to operate, and manage cloud technologies to include Microsoft Azure, Amazon AWS, VMware, Azure servers, Azure Functions, and Azure API Gateways and/or AWS EC2 servers, AWS Lambda and AWS API Gateways; - Contractor shall have ability to operate and manage relational databases, MySQL and/or SQL Server 2012 or higher. Our Commitment:Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client’s specific needs. We are committed to solving the most challenging and dynamic problems. For the past seven years, we’ve been growing our government-contracting portfolio, and along the way, we’ve created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work.Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package.- Health, Dental, and Vision- Life Insurance- 401k- Flexible Spending Account (Health, Dependent Care, and Commuter)- Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of government innovation!Explore additional job opportunities with CGS on our Job Board: more information about CGS please visit: or contact:Phone: +1 (888) 680-5916Email: #CJ We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionGopuff’s Data Science team powers the personalized search, browse and recommendation experiences that shape how customers discover daily goods. We are expanding our mission to include cutting-edge generative-AI capabilities. This role will lead the design and deployment of LLM-driven models that deeply understand customer needs and deliver personalized, timely experiences. You will partner with product managers, engineers and researchers to adapt pre-trained large language models (LLMs) to Gopuff’s unique business challenges, fine-tune models using LoRA/qLoRA, build retrieval-augmented generation (RAG) pipelines, and drive innovation from prototype through production.You Will: • Understand customer needs through AI: Build models that interpret intent and context to provide the right product, recommendation or experience at the right moment., • Fine-tune and adapt LLMs: Apply LoRA/qLoRA and RAG techniques to customize state-of-the-art LLMs for Gopuff’s domain, using frameworks such as Hugging Face, LangChain and LlamaIndex., • Architect personalization systems: Design robust pipelines for search, retrieval and ranking that combine generative AI with classical ML, leveraging vector databases and prompt/context optimization., • Drive algorithmic innovation: Explore and apply new methods in deep learning, reinforcement learning, multi-task learning and embeddings to improve personalization, recommendations and discovery., • Develop conversational and Q&A experiences: Build interactive agents that can answer questions, guide product discovery and engage with customers in natural language., • Deploy at scale: Collaborate with MLOps and engineering teams to productionize models with high scalability, reliability and low-latency response times., • Evaluate and optimize: Define metrics, design A/B tests and perform offline/online evaluations to measure model performance, customer satisfaction and business impact., • Collaborate and educate: Work with product, engineering, design, analytics and leadership teams to translate business needs into AI solutions and communicate data-science concepts clearly., • Mentor and lead: Provide technical leadership and mentorship to data scientists and ML engineers, fostering a culture of responsible, customer-focused AI., • Stay ahead of the curve: Continuously track emerging LLM architectures, tools and techniques, and integrate them into Gopuff’s AI roadmap.You Have:, • MS/PhD in Computer Science, Statistics, Mathematics or a related field with 2+ years of experience building generative-AI systems (or 8+ years of industry experience in data science)., • Demonstrated experience fine-tuning LLMs using LoRA/qLoRA, adapting models through RAG pipelines, and optimizing with transformer architectures., • Proficiency in prompt engineering, RLHF and model optimization., • Hands-on expertise with Hugging Face Transformers, LangChain, LlamaIndex and vector databases (e.g., Pinecone, FAISS)., • Strong skills in Python and ML frameworks (PyTorch, TensorFlow, JAX); experience with cloud platforms (AWS, GCP, Azure) and MLOps tools (MLflow, Databricks, etc.)., • Experience working with large datasets and SQL; ability to write scalable, production-quality code., • Excellent communication and collaboration skills to partner across technical and business teams., • A passion for building AI that understands and anticipates customer needs while ensuring responsible and fair use of technology.Compensation:, • Gopuff pays employees based on market pricing and pay may vary depending on your location. The salary range below reflects what we’d reasonably expect to pay candidates. A candidate’s starting pay will be determined based on job-related skills, experience, qualifications, interview performance, and market conditions. These ranges may be modified in the future. Exceptions may be made for exceptional individuals. For additional information on this role’s compensation package, please reach out to the designated recruiter for this role., • This role is eligible for a discretionary annual cash bonus and participation in Gopuff’s equity incentive plan., • Base Salary Range: $175,000 - $270,000What We Offer:, • Medical/Dental/Vision Insurance, • 401(k) Retirement Savings Plan, • HSA or FSA eligibility, • Long and Short-Term Disability Insurance, • Mental Health Benefits, • Fitness Reimbursement Program, • 25% employee discount & FAM Membership, • Flexible PTO, • Group Life Insurance #LI-GOPUFF Gopuff is an equal employment opportunity employer, committed to an inclusive workplace where we do not discriminate on the basis of race, sex, gender, national origin, religion, sexual orientation, gender identity, marital or familial status, age, ancestry, disability, genetic information, or any other characteristic protected by applicable laws. We believe in diversity and encourage any qualified individual to apply. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionCompany Overview Rhythm is a global, commercial-stage biopharmaceutical company committed to transforming the lives of patients and their families living with rare neuroendocrine diseases. We develop medicines for previously untreatable or undertreated diseases and provide meaningful support for healthcare providers and patients and their families. We recognize the courage it takes for patients and their caregivers to begin their journey of advocacy to find the answers they need. Their courage inspires us to challenge convention, ask bold questions and seek answers for them. Every day, we strive for excellence through our willingness to adapt, learn, and our tenacity to overcome barriers, together. Job Summary We are seeking a highly motivated and experienced Director of Data Science to lead data-driven initiatives in support of our clinical, regulatory, and scientific objectives. The successful candidate will have a strong background in biostatistics, genetics, and data analytics, and will be responsible for developing and implementing advanced data models, predictive tools, and integrative analyses across the obesity and metabolic disease therapeutic area. This role will work collaboratively with key inter-disciplinary stakeholders (e.g. biostatistics, clinical development and regulatory affairs) to drive the generation of actionable data insights to support enterprise-wide goals and initiatives. This position offers the opportunity to shape data strategy at a growing biotech and directly impact research, development, and regulatory decision-making. Responsibilities and Duties • Lead the design, development, and implementation of data analysis pipelines, predictive models, and statistical frameworks to support research, clinical, and regulatory programs., • Partner cross-functionally with Biostatistics, Clinical, Regulatory, and Market Access teams to ensure data insights align with organizational priorities., • Oversee data processing, curation, and integration from clinical trials, biomarker studies, and external datasets., • Translate complex data outputs into actionable insights to inform publications, protocol development, and regulatory submissions., • Ensure data quality, reproducibility, and compliance with company and industry standards., • Provide scientific and technical leadership for the use of statistical genetics, machine learning, and advanced analytics in biomarker and outcomes research., • Mentor and guide junior scientists and analysts in the use of SQL, Python, and R for statistical modeling, data visualization, and automation., • Ph.D. in Biostatistics, Computational Biology, Genetics, Data Science, or related quantitative field., • 8+ years of industry experience in biotechnology, pharmaceuticals, or healthcare analytics, with demonstrated leadership in cross-functional projects., • Experience with obesity/metabolic-related biology and datasets, • Strong programming and data manipulation skills in SQL, Python, and R., • Proven expertise in biostatistics, statistical genetics, and predictive modeling., • Experience integrating and analyzing clinical trial and biomarker datasets., • Experience handling population-scale genomics datasets (e.g., UKB, AoU); familiarity with the ACMG classification system; statistical analysis of rare variants., • Familiarity with real-world data, electronic medical records, omics analysis, and data visualization platforms., • Excellent communication skills with the ability to translate data findings into strategic insights for diverse stakeholders., • Demonstrated ability to work independently, prioritize effectively, and deliver high-quality results under deadlines., • Track record of innovation, scientific rigor, and collaboration across multidisciplinary teams. More about Rhythm We are a dynamic and growing global team spanning more than a dozen countries. At Rhythm we are dedicated to transforming the lives of patients living with rare neuroendocrine diseases by rapidly advancing care and precision medicines that address the root cause. Our team is passionate about expanding access to reach more patients and developing novel therapies for other rare neuroendocrine diseases, including congenital hyperinsulinism. At Rhythm our core values are: • We are committed to advancing scientific understanding to improve patients’ lives, • We are inspired to tackle tough challenges and have the courage to ask bold questions, • We are eager to learn and adapt, • We believe collaboration and ownership are foundational for our success Powered by JazzHR ntgvSgLhU4

Job Description Site Reliability Engineer 1Job Details • Site Reliability Engineer 1 (Contract), • Location: Waltham, MA 02451 (Hybrid), • Duration: 10/22/2025 to 4/03/2026, • Team: Campaign Core RD US Key Responsibilities:, • Deploy and manage solutions efficiently on private or public cloud, and ensure they meet established SLAs, with an emphasis on optimizing cloud resource utilization., • Maintain database performance by investigating, debugging, identifying and resolving production issues., • Implement solutions by defining database physical structure and functional capabilities, database security, data back-up, and recovery specifications., • Design, implement, and maintain integrating monitoring and alerting tools, leveraging existing tools and logging., • Monitoring all levels in the application stack., • Expand existing automation tools to streamline onboarding., • Collaborate with various internal teams to provide the best service possible for our customers. Required Skills & Qualifications:, • 2-3 years professional experience in a production environment., • Chef / Ruby, • Python, • Lua, • SQL (postgres), • OpenTelemetry / Prometheus / Grafana, • SMTP / email deliverability a plus.Compensation:, • $40.00 to $45.78 per hour.#36486724

Job Description Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. Xometry is seeking a Senior Data Scientist to join our Pricing and Sourcing Science team. This person will leverage advanced statistical modeling and machine learning to understand short-term and longer-term pricing and sourcing dynamics at play in our marketplace. Coupled with rigorous experimentation, you will build scalable and adaptive decision making systems that power core features of our custom manufacturing marketplace. Responsibilities: • Develop and implement statistical and machine learning models to optimize pricing, lead times, and sourcing strategies., • Design and evaluate experiments (A/B tests, multi-armed bandits, contextual bandits) to enable data-driven decision-making., • Assess competitive pricing trends, market dynamics, and customer behavior to generate strategic insights and drive business growth., • Build and maintain scalable data pipelines with a focus on code quality, reproducibility, and best practices for deployment., • Utilize cloud platforms (AWS, GCP, or Azure) to efficiently process and model large-scale datasets., • Education:, • Bachelor's degree in Applied Math, Computer Science, Statistics, Engineering, or a related field (Master's or Ph.D. strongly preferred)., • Experience:, • 5+ years of experience in Data Science, Machine Learning, or Applied Econometrics., • Technical Skills:, • Proficiency in Python (pandas, NumPy, SciPy, scikit-learn, TensorFlow/PyTorch preferred)., • Strong SQL skills and experience querying large-scale data platforms (e.g., Snowflake, Redshift)., • Familiarity with scientific software principles (version control, reproducibility, testing)., • Experience with cloud computing (AWS preferred)., • Business & Communication:, • Ability to translate data insights into business recommendations., • Strong communication skills, comfortable presenting technical findings to executive stakeholders., • Preferred Qualifications:, • Experience in the Manufacturing or Logistics Industry: Familiarity with the unique challenges and opportunities within these industries. #LI-Hybrid Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

Job Description Are you interested in working for a growing company, as part of a great supportive accounting team? Are you looking for an exciting opportunity in the medical IT industry? Do you seek a career, rather than just a job? If yes, you need to consider this role with PaxeraHealth Corp. PaxeraHealth is now hiring a Senior Customer Care to join our Implementation and Customer Care team. Don’t miss out on this great opportunity with a growing company. We seek an individual who will embrace our culture of excellence, service and integrity. As a developer of technologies that help manage millions of medical images every year, PaxeraHealth Corp. is shaping the industry and transforming technologies so radiologists and clinicians have what they need, including our AI solutions. As such, we are one of the best and brightest medical solutions companies for whom to work. This position is ideal for someone with a strong background in PACS/Healthcare IT, excellent problem-solving skills, and a passion for customer support. This is a Remote Position located in the USA for our company that is located in Newton MA We offer on the job training, and a respectful, friendly work environment in a growing company! Responsibilities • Serve as the highest level of technical support for PaxeraHealth clients., • Diagnose, troubleshoot, and resolve software and technical issues across healthcare imaging systems., • Implement PaxeraHealth software solutions in cloud-based, virtual, and physical environments., • Support integrations with PACS, RIS/HIS, EMRs, and third-party healthcare IT solutions., • Document project activity, contribute to knowledge-based content, and perform root cause analysis., • Collaborate closely with project managers, engineers, and customers to ensure successful installations and timely resolution of service requests., • 5+ years supporting or implementing PACS or similar Healthcare IT software., • Bachelor’s degree in Computer Science or related field (or equivalent experience)., • Deep understanding of healthcare imaging standards like DICOM, HL7, and IHE., • Hands-on experience with systems administration (Windows Server, Active Directory, VMWare, etc.)., • Technical knowledge in:, • Networking: TCP/IP, VPNs, NAT, VLAN, • Databases: SQL Server, queries, management, • Scripting: Bash, PowerShell, Ruby/Perl, HTML/XML, • Tools: Wireshark, IIS, Apache, OpenSSL, • Strong communication and interpersonal skills with a customer-first mindset. What We Offer in Return: • A Competitive Wage/Salary!, • Remote position, • Working for a rapidly growing company in the dynamic healthcare technology field!, • Benefits to include:, • Company Health, Vision and Dental insurance, • Life Insurance, • Paid Holidays, • Paid Vacation, • Paid sick time, • Paid personal days, • Work with an outstanding and dedicated team of accounting, IT, Marketing, and Administrative professionals who are committed to our company’s growth, • Work for a company whose values include: Integrity, Hard Work, Exceptional Service and Innovation Our Team Our most valuable assets are the talented, purposeful people on our team. In fact, they are the backbone of PaxeraHealth. We provide an environment that attracts, motivates, and retains the best people, enabling us to be highly productive and consistently achieve excellent results. Our entire team shares a passion for exploring new ideas, overcoming challenges as well as designing, creating, and delivering market-leading health IT solutions and services. Their unique mix of skills and qualifications matches our customers’ needs, to ensure the delivery of great, purpose-built, customized software applications for healthcare providers – now and for the future. If interested in this exciting opportunity to work for a company with tremendous growth potential, one which embraces diversity, offers a respectful, friendly work environment, yet one charged with the energy and excitement, please send your resume with salary requirements now! Don’t miss out on this great opportunity. Powered by JazzHR CniePpD7KD

Work experience with Stored Procedures, Functions, Packages, and Triggers using SQL and PL/SQL. Expert level experience in writing complex SQL, Query optimization, PL/SQL. Work experience with Stored Procedures, Functions, Packages, and Triggers using SQL and PL/SQL.

We are actively seeking Tableau Developer with SQL for one of our client, Please share your resume with current location & full contact info. Role: Tableau Developer with SQL. Utilize SQL and data cloud technologies (e.

I would appreciate it if you could go through the description and let me know if you are interested in discussing this role further.If so, please let me know a good time and a number to connect.The candidate must have experience in MS SQL database design, and unit testing of interfaces and integrati

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NDB, uniquely, supports the most popular database engines in the Enterprise, including SQL, PostgresSQL, Oracle, MongoDB, on a single platform to give a unified database management experience across all engines. We are looking for an experienced, motivated, and entrepreneurial leader to lead our Glo

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired bya collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible.Join us and help the wo

Need hands-on experience in Java. Digital : ReactJS, Microsoft SQL Server 2019, Core Java.

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SQL server, Oracle), star schemas, exposure to NoSQL database technologies, Big Data Platforms like Hadoop or Cloud services like HDInsight. Implement code changes, Conduct SQL Code Reviews and Maintain and improve existing database objects. Microsoft ETL and business intelligence technologies inclu