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• Complete a 15-minute structured survey from your desktop computer • Detail your experience evaluating enterprise data and analytics platforms • Provide specific feedback on the analytics tools you currently use • Record brief video responses using your web camera if prompted
UnitedHealth Group is a healthcare and well-being company that’s dedicated to improving the health outcomes of millions around the world. We are comprised of
Role Description This Principal Data Scientist role will be a part of the Decision Sciences team in Client Center of Excellence organization. The role will be responsible for strategic interpretation of data and business requirements to provide executive leadership and the growth with customer centric data driven insights and AI/ML solutions. Working in collaboration with Director, Decision Sciences and other data scientists team members, this role works to: - Identify new business requirements across the organization. - Translate business requirements into data models. - Perform data engineering to combine diverse data sets. - Develop custom algorithms for predictive AI models to support the Growth business and Optum business units. You will enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges. Primary Responsibilities: - Lead development of advanced AI/ML systems using techniques such as deep learning, representation learning, time-series modeling, survival analysis, and probabilistic modeling to solve complex healthcare problems. - Develop Generative AI and LLM-powered solutions including retrieval-augmented generation (RAG) pipelines, domain-adapted LLMs, and AI copilots for enterprise workflows. - Lead collaboration with key business stakeholders to develop business solutions based on data driven insights to solve complex business problems. - Lead projects that combine diverse customer data sets to identify trends and opportunities, develop custom machine learning models, and provide recommendations to optimize the business and address data-related problems. - Serve as a senior technical authority in AI/ML by mentoring data scientists and reviewing complex modeling approaches and architecture. - Coordinate with different functional teams to improve customer data architecture, ensure accuracy of model output and implement new data gathering processes. - Create customized summaries, business presentations and documentation for internal business clients based on the results of research. - Collaborate with engineering, platform, and product teams to operationalize scalable AI/ML and GenAI systems within enterprise platforms. Qualifications - 8+ years of experience in machine learning, artificial intelligence, or applied data science to develop data products in a business environment. - 8+ years of experience in Python-based machine learning development using frameworks such as PyTorch, TensorFlow, Pandas or equivalent. - 5+ years of experience designing and deploying production machine learning systems leveraging regression, natural language processing algorithms, classification and clustering, time-series forecasting and predictive/prescriptive modeling. - 5+ years of experience providing data driven solutions, predictive models, reports, or recommendations within a business environment using SQL or data visualization tools. Requirements - Experience working with distributed ML systems and large-scale data platforms such as Snowflake, Spark, Databricks, or other ML systems. - Experience working as a project or team lead on the development of data products in a business environment. - Experience working as a key SME to executive or C-Suite stakeholders. - Experience deploying AI solutions on cloud platforms such as AWS, Azure, or GCP. - Experience working with healthcare datasets and standards such as claims, EHR, ICD, CPT, SNOMED, FHIR, or HL7. - External contributions such as publications, patents, or open-source projects in machine learning or generative AI. Benefits - Comprehensive benefits package. - Incentive and recognition programs. - Equity stock purchase. - 401k contribution (all benefits are subject to eligibility requirements).
The US Oncology Network is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.
Role Description The Precision Medicine Intern, under general supervision, supports the data scientists and attends data science calls. Learns about procedures, processes, and data within the department. Performs daily administrative tasks as needed. Supports and adheres to the US Oncology Compliance Program, including the Code of Ethics and Business Standards. - Participate in data science meetings and project calls to gain exposure to real-world analytics, modeling approaches, and clinical data workflows. - Learn and apply department procedures, processes, and data standards related to precision medicine, oncology, and healthcare analytics. - Assist with organizing, validating, and cleaning datasets used for reporting, research, or exploratory analysis. - Help prepare basic summaries, visualizations, or presentation materials to support ongoing projects. - Collaborate with data scientists and cross-functional team members to support project timelines and deliverables. - Perform daily administrative and operational tasks as needed to support the team, including tracking requests, updating documentation, and maintaining organized project files. - Adhere to data privacy, security, and compliance requirements when handling sensitive clinical or patient-related data. Qualifications - High School Diploma or equivalent required. - Must be a rising junior or senior currently enrolled in a bachelor’s program in Data Science, Computer Science, Statistics, Mathematics, Bioinformatics, Public Health, or a related field. - Strong attention to detail with the ability to follow data standards and documentation requirements. - Effective written and verbal communication skills, including the ability to summarize findings or ask clarifying questions. - Ability to manage tasks, meet deadlines, and work both independently and collaboratively in a team environment. - Interest in healthcare, oncology, or precision medicine and the application of data to clinical or research settings. - Understanding of, or willingness to learn, data privacy and compliance principles (e.g., HIPAA-related awareness). Requirements - Physical demands of this job typically require full range of body motion including manual and finger dexterity and eye-hand coordination. - Ability to read and note appropriate measurements. - Requires sitting/standing for extensive periods of time. - Occasionally lifts and carries items weighing up to 40 lbs. - Requires corrected vision and hearing to normal range. Work Environment - Regularly exposed to direct contact with patients with potential for exposure to toxic substances, medicinal preparations, and chemotherapeutic agents. Benefits - Competitive benefits package including Medical, Dental, Vision, Life Insurance. - Short-term and Long-term disability coverage. - A generous PTO program. - A 401k plan that comes with a company match. - A Wellness program that rewards practicing a healthy lifestyle. - Tuition Reimbursement. - An Employee Assistance program. - Discounts on some favorite retailers.
Harnessing the power of diversity, expertise, and innovation to transform lives, accelerate equity, and create lasting.
Role Description The Data Visualization Specialist supports Head Start and Early Head Start programs by transforming complex data into clear, actionable visual products that support program oversight, grant administration, operational planning, and data-driven decision-making. Working closely with federal staff and project teams, this role develops dashboards, reports, presentations, infographics, and other data visualization tools that communicate key trends, performance metrics, and insights. The position collaborates with stakeholders to translate business needs and analytical findings into effective visual communications, while supporting reporting, strategic planning, continuous improvement, and organizational efforts to improve outcomes for children and families. How You Contribute to the Team: - Design, develop, and maintain interactive dashboards, infographics, scorecards, and data visualization products that support operational reporting, performance monitoring, and strategic decision-making. - Transform large and complex datasets into clear, visually compelling narratives that communicate trends, patterns, risks, and actionable insights to technical and non-technical audiences. - Develop executive-level presentations, briefing materials, and reporting deliverables that effectively convey analytical findings, program performance, and business outcomes. - Collaborate with cross-functional teams, business stakeholders, analysts, and leadership to gather requirements, define reporting objectives, and deliver visualization solutions aligned with organizational goals. - Apply data visualization best practices, design principles, and storytelling techniques to improve usability, readability, and audience engagement across all reporting products. - Ensure dashboards, reports, and visualizations comply with accessibility, branding, and data governance standards, including usability and Section 508 compliance requirements where applicable. - Support the creation and integration of geospatial mapping, statistical data displays, and interactive visualization tools to enhance analytical reporting capabilities. - Validate data accuracy, consistency, and integrity across visualization products and reporting outputs to ensure reliable and high-quality deliverables. - Optimize visualization performance and functionality across multiple platforms and reporting environments. - Provide recommendations for improving reporting processes, visualization standards, and business intelligence capabilities through innovative and user-focused design solutions. - Perform these and other reasonable tasks as assigned by management in support of BCT’s goals and objectives. Qualifications - Bachelor's degree in Data Visualization, Information Design, Data Science, Statistics, Business Analytics, Communications, Graphic Design, or a related field from an accredited college or university. - Relevant certifications in data visualization, business intelligence, analytics, or related disciplines are a plus. Requirements - At least 3 years of relevant post-baccalaureate professional experience in data visualization, business intelligence, analytics, or related reporting functions. - Minimum 3 years of experience developing presentations, dashboards, reports, and interactive visualization solutions using business intelligence and reporting tools. - At least 3 years of demonstrated experience collaborating with stakeholders, cross-functional teams, and leadership to communicate technical information through visual reporting and data storytelling. - Minimum 2 years of experience applying data visualization design principles, usability standards, and accessibility requirements in reporting and dashboard development. Skills and Expertise: - Strong knowledge of data visualization principles, including layout, color usage, usability, and visual storytelling. - Expertise in Tableau, Power BI, and D3.js for dashboard and report development. - Experience with GIS and geospatial mapping tools for location-based data visualization. - Proficiency with Figma, Canva, and Google Data Studio for presentations, infographics, and reporting materials. - Skilled in designing dashboards, scorecards, infographics, and interactive visualizations. - Knowledge of statistical data displays and data storytelling techniques to communicate insights effectively. - Ability to translate complex datasets into clear, accurate, and visually impactful reports and dashboards. - Understanding of accessibility standards and visualization best practices. - Strong attention to detail, analytical thinking, and problem-solving skills. - Ability to manage multiple projects and collaborate with cross-functional teams effectively. Communication Skills: - Proven ability to effectively communicate to various audiences when speaking and in writing. - Must be able to communicate, collaborate and interact with colleagues in a remote work environment; must participate in virtual meetings, appear on camera as needed, and contribute to meeting content as required. - Proficiency with computer, Internet, Microsoft Office (Outlook, Word, Excel, and PowerPoint); experience with SharePoint and Monday.com desirable. - Experience with video meetings/conferencing (e.g., Zoom, Adobe, MS Teams). - Ability to adapt quickly to new applications. Benefits - Base salary between $65,000 and $80,000. - Partially subsidized medical, dental, and vision coverage. - Fully vested 401k plan with company match. - Company paid life and disability insurance plans. - Paid family leave. - Generous paid time off policy. Company Description BCT is a management consulting firm that tackles complex social problems through data analytics, innovative solutions, and program management. We believe complex issues are best solved through collaboration. As a result, we employ a multidisciplinary approach that combines domain expertise, research, evaluation, technology, organizational development, and a passion for change.
Welltower™ is driving the evolution of health care infrastructure so an aging population can live well.
• Support the Business Insights team in advancing Welltower’s data and analytics initiatives. • Assist in the development and testing of predictive models and analytical solutions. • Help prepare datasets, engineer features, and support machine learning workflows. • Conduct exploratory data analysis and data mining using modern analytical techniques. • Assist with integrating and evaluating internal and external data sources. • Analyze model outputs and communicate insights that support business decisions. • Support efforts to improve data quality, governance, and collection processes. • Process, cleanse, and validate data used in reporting and analytics projects. • Perform ad-hoc analyses and present findings to team members in a clear and organized manner. • Collaborate with cross-functional teams to understand business challenges and identify opportunities for data-driven solutions.
AtkinsRealis provides engineering services to deliver sustainable and innovative solutions across transportation, water, energy, and defense industries. The com
Role Description Under supervision, work collaboratively with industry experts to uncover hidden insights that solve important and impactful real-world problems within a growing team of data specialists. Utilize advanced technology stacks to analyze complex datasets to build and deliver solutions to diverse problems. Carry out job functions within small, project oriented, multidisciplinary teams of Data Science professionals and support direct interaction with clients within the context of project progress meetings, design reviews, operations and project production and delivery. - Collect and organize data from many different sources, including structured and unstructured data. - Discover trends and patterns, combine various algorithms and modules. - Use machine learning tools to select features, create and optimize classifiers. - Work with team members and leaders to develop a data strategy. - Develop dashboards and other reporting tools to present data for decision makers. - May be assigned to unanticipated work locations throughout the United States. - Remote working or telecommuting permitted in all U.S. States, in accordance with company policy. - Relocation to within a reasonable commuting distance of the job opportunity is required. Qualifications - Bachelor’s degree or foreign degree equivalent in Engineering, Data Science, Computer Science, Mathematics, or statistics, or related field. Requirements - Four (4) years of experience in job offered, or in a related occupation. - Academic training or work experience in the following: - Scripting, Python, R software - Analyzing real-time and historical traffic information for various travel metrics - PTV Vissim and PTV Visum - Synchro - Microstation How to apply Submit resume via email to recruiter.na@atkinsrealis.com . Must include Ref# SDSFL-MV. Worker Type Employee Job Type Regular Company Description At AtkinsRéalis, we seek to hire individuals with diverse characteristics, backgrounds and perspectives. We strongly believe that world-class talent makes no distinctions based on gender, ethnic or national origin, sexual identity and orientation, age, religion or disability, but enriches itself through these differences.
• Work at the intersection of Artificial Intelligence and Threat Research • Work closely with subject-matter experts in cybersecurity to understand analyst workflows and their security operations procedures • Post-train LLMs and agents — supervised fine-tuning and reinforcement learning (RLHF/RLAIF, PPO/GRPO/DPO, reward modeling) — to automate analyst procedures and improve reliability on real security tasks • Devise AI agents and combine them into increasingly complex workflows: planning and reasoning loops, tool and function calling, and retrieval and memory • Research new approaches to agentic planning, and prototype state-of-the-art methods from the literature • Establish objective criteria for benchmarking agentic systems — evals, LLM-as-judge pipelines, and trajectory-level metrics, with real statistical rigor • Optimize prompts and inference to get the most out of every model • Collaborate and coordinate across Engineering, Data Science, and Managed Services teams, and partner with engineers to take prototypes toward production • Keep track of developments in the field of Artificial Intelligence and help identify, define, and prioritize areas for research
Role Description Are you data-driven, technically minded, and eager to improve one of the biggest affordable solar programs in the United States? Then join our team as a Solar Data Intern! Your efforts will directly contribute to the launch of a high-profile program with state-wide impacts. In this part-time (15-20 hours/week, ideally between Monday and Thursday) role, you’ll: - Organize, clean, and validate essential datasets to ensure they map successfully from their former system into ours. - Identify trends, investigate discrepancies, and propose deliverables by cross-collaborating with various teams within Energy Solutions' largest program. - Share your progress with high-level staff, including Team Leads. This experience will grant you: - Real-world experience working on a multi-million-dollar solar program and with its clients. - Understanding of data quality and its impact. - Proficiency in checking data quality and accuracy. You will also gain or deepen: - Software know-how, especially Excel. - Insight into behind-the-scenes software development and databases. - Potential client-facing experience and presentation(s). Qualifications - Intermediate to advanced Microsoft Excel skills. - Currently enrolled full- or part-time in an undergraduate program as a second to fourth-year student or enrolled in a graduate program. - Currently enrolled in or previously completed coursework in data, computer science, or an engineering-related field of study. - Strong research, technical writing, and analytical skills. Requirements - At least 4 work hours of your workday must overlap with the standard 9:00 AM to 5:00 PM workday in Pacific Standard Time (PST). - The ability to attend meetings between 9:00 AM and 5:00 PM PST on your workdays is preferred. - Currently enrolled full- or part-time in an undergraduate program as a second to fourth-year student or enrolled in a graduate program. - A US Citizen or permanent resident. - Available to meet your weekly hours requirement between May and August for Summer and between September and November for Fall. - Motivated by the Energy Solutions’ mission to reduce carbon emissions with an equity lens. Benefits - Undergraduate student: $21/hr. - Graduate student: $24/hr. Application Process You may apply to up to 2 positions per cycle. To apply, please submit: - Your updated resume/CV. - 2 short essays that meet the criteria below: - Be original documents written by you. - Be between 250 and 500 words each. - Answer the following prompts: - Describe how you have overcome adversity and applied the lessons learned to your academic, professional, or personal life. - Describe how the Internship you apply for will enhance or help launch your career in an energy-related industry. - Your work sample must: - Be an original document written by you. - Be between 1 and 3 pages long, single or double spaced, not including sources. - Demonstrate your ability to communicate your thinking about an idea. Important Notes - Our Fall 2026 Internship opportunities close on June 26, 2026, at 5:00 PM PST. - We will not accept late applications or make exceptions regarding the criteria. - We reserve the right to close our applications before the deadline. - If you have questions, please reach out to internships@energy-solution.com .
ESO is a fast-paced, growing data, technology, and research company passionate about improving community health and safety through the power of data. We pioneer innovative, user-friendly software to meet the changing needs of today’s EMS agencies, fire departments, and hospitals. We’re small enough to be nimble and fun, but big enough to be a great place to work. We serve thousands of customers out of our offices across the US, Canada and Northern Ireland.
Role Description We are seeking a highly motivated and experienced Senior Data Scientist to join our Data Platform team. In this role, you will contribute to the design, development, and deployment of machine learning models and advanced analytics solutions that power our products and drive meaningful business outcomes. You will work closely with our engineering and research teams, collaborating on innovative projects that leverage modern ML frameworks, robust data pipelines, and scalable cloud platforms. What You’ll Be Doing - The Day to Day - Design, develop, and validate machine learning models for a variety of prediction, classification, and optimization tasks. - Collaborate with data engineers, product teams, researchers, and clinical subject matter experts to source, clean, and transform large, complex datasets for modelling and analysis. - Conduct exploratory data analysis, feature engineering, model selection, and hyperparameter tuning using modern ML libraries. - Implement and evaluate statistical models, supervised/unsupervised algorithms, and time series forecasting methods. - Develop reproducible, well-documented code using Python and industry-standard ML frameworks (e.g., scikit-learn, XGBoost, LightGBM, PyTorch, TensorFlow). - Communicate findings and insights to both technical and non-technical stakeholders through clear visualizations and presentations. - Translate business problems into machine learning solutions and contribute to model operationalization strategies. - Stay current with advancements in machine learning, AI, and data science practices. Qualifications - 5-7 years of professional experience developing machine learning and data science solutions in production environments. - Strong proficiency in Python, including core data science libraries: pandas, numpy, scikit-learn, matplotlib, polars, etc. - Experience with ML model development, evaluation, and deployment workflows. - Experience with MLOps tools and practices. - Hands-on experience with SQL and working with large-scale relational datasets. - Solid understanding of statistical modelling, data mining, and algorithm development. - Experience working in cross-functional teams and translating business needs into technical solutions. - Excellent communication, problem-solving, and analytical skills. Requirements - Experience deploying ML models using Azure Machine Learning or other cloud-native ML platforms. - Familiarity with Snowflake for data access, feature storage, or model deployment integration. Benefits - Competitive health plans (medical, dental, & vision insurance) - PTO (starting at 20 days) & 12 company holidays - 401(k) with company match - Telemedicine service provided by ESO - Savings accounts (FSA, HSA, DCA) - Employee Assistance Program (EAP) - Annual health and wellness reimbursement - Peace of mind benefits such as life insurance, disability insurance, and worksite benefits - Paid parental leave, new child program, & flexible parental return-to-work options - Casual office environments and unlimited office snacks and drinks
Figma was founded in 2012 to build a collaborative, professional-grade interface design tool for the digital age. Created specifically for interface design and
Role Description Figma is growing our Finance Data Science team at a pivotal moment in the company's evolution. As a public company, the accuracy, scalability, and sophistication of our financial data systems have never been more important. We're looking for a Finance Data Scientist to help build the data foundation that powers financial reporting, forecasting, strategic decision-making, and investor communications. In this role, you'll partner closely with Strategic Finance, Accounting, Investor Relations, Engineering, Product, and Data teams to ensure our financial metrics are accurate, actionable, and trusted across the business. This is a unique opportunity to work at the intersection of finance, analytics, data engineering, and business strategy—helping shape how Figma measures and communicates its performance as the company scales. This is a full-time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: - Own and improve the data models that power Figma's financial reporting, including ARR, revenue, billings, collections, and other key business metrics. - Build scalable reporting systems, forecasts, and analytical frameworks that support Finance, Accounting, Investor Relations, and executive leadership. - Drive data accuracy and completeness across month-end, quarter-end, and year-end close processes alongside Strategic Finance and Accounting teams. - Collaborate with Engineering, Product, GTM Systems, and Financial Systems teams to ensure the completeness and accuracy of financial data. - Conduct deep-dive analyses that inform strategic decisions and uncover opportunities to improve business performance. - Define, measure, and operationalize key financial and operational metrics. - Design and implement durable data solutions that balance immediate stakeholder needs with long-term scalability. - Serve as a trusted thought partner to Finance leaders, helping guide reporting, forecasting, and decision-making across the business. Qualifications - 3+ years of experience in Data Science, Analytics, Finance, Financial Systems, Data Engineering, or a related field. - Advanced SQL skills and strong proficiency in Python or a similar programming language. - Experience supporting Finance, Accounting, Strategic Finance, FP&A, Investor Relations, or other finance-focused stakeholders. - Demonstrated ability to translate complex data into clear, actionable business insights for non-technical stakeholders. - Experience working independently and driving projects from ambiguity to execution. Requirements - Experience with SaaS, subscription-based, usage-based, or consumption-based business models. - Knowledge of accounting concepts and revenue recognition principles (ASC 606). - Experience with modern analytics and data engineering tools such as DBT, Snowflake, Git, Spark, Presto, or similar technologies. - Experience supporting IPO readiness, public company reporting, SOX controls, audits, or other major corporate milestones. - Background in Strategic Finance, FP&A, Accounting, Investment Banking, Consulting, or related fields. Benefits - Equity to employees. - Competitive package of additional benefits, including health, dental & vision. - Retirement with company contribution. - Parental leave & reproductive or family planning support. - Mental health & wellness benefits. - Generous PTO and company recharge days. - Learning & development stipend. - Work from home stipend and cell phone reimbursement. - Sales incentive pay for most sales roles and an annual bonus plan for eligible non-sales roles. Pay Transparency Disclosure If based in Figma’s San Francisco or New York hub offices, this role has the annual base salary range stated below. Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process. Annual Base Salary Range: $140,000 — $348,000 USD Company Description At Figma, we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product, and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status, or any other characteristic protected by law.
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Python, SQL, AI/ML, PyTorch, Snowflake, Data Engineering
