Senior data analyst- jobs in Schenectady, NY - 232 jobs

Marktplaats in The Netherlands, and 2dehands and 2ememain in Belgium, are part of Adevinta: a global online classifieds specialist. The three brands are hosted on a multi-tenant platform, operated from our Amsterdam location, and are the top players in the classifieds space throughout the Benelux region. We offer consumers the opportunity to trade their unwanted products and contribute to a greener, circular economy. We offer businesses - of all sizes, from the smallest hobbyist to the biggest brands in Benelux - a platform to showcase their goods and services online to over 11 million monthly unique users. What you'll do & Who you are Welcome to Marktplaats! About Marktplaats and 2dehands Marktplaats in The Netherlands, and 2dehands and 2ememain in Belgium, are part of Adevinta: a global online classifieds specialist. The three brands are hosted on a multi-tenant platform, operated from our Amsterdam location, and are the top players in the classifieds space throughout the Benelux. We offer consumers the opportunity to trade their unwanted products and contribute to a greener, circular economy. We offer businesses - of all sizes, from the smallest hobbyist to the biggest brands in Benelux - a platform to showcase their goods and services online to over 11 million monthly unique users. About the role The Benelux Business Analytics team is responsible for business analytics for the Dutch and Belgian businesses of Adevinta. In this role of Business and Strategy Analyst, you will have a focus on supporting the SMB and advertising domain with financial forecasting, business case creation and strategic guidance through data. You will provide dashboarding and reporting as needed, as well as ad hoc questions. Though your primary focus will be in this department, we prioritize across the domains, so you will also contribute to our other departments like automotive or transactions. You are a high-impact contributor with a strong analytical mindset and a track record of top performance. You bring strategic thinking to the design and evolution of data structures, proactively identify opportunities for automation and operational efficiency, and translate complex data into actionable insights. With excellent communication skills, you serve as a trusted partner to both technical teams and business stakeholders-bridging the gap between analysis, engineering, and decision-making. Responsibilities * Support the advertising domain, specifically focusing on performance and optimization of bannering revenue, as well as the features that users can purchase. * Analyze data to get insights on trends, anomalies and opportunities and drive business decisions * Gather market insights and translate them into impactful initiatives for our business teams * Set-up, automate, maintain, and own dashboards and reporting structure for operational metrics and revenue streams of your focus area * Closely work together with the advertising business teams and finance teams to define the key operational and financial metrics * Construct and deliver clear, concise presentations of findings, key product and user performance metrics and management recommendations both in oral and written form Qualifications * Professional experience of 4-6 years in the field * Academic degree, preferably in a quantitative field like mathematics, econometrics, statistics etc. * Expert with SQL, Tableau and Excel skills are a requirement. Experience with Python or similar is a plus * Proven experience in working with large, multisource data sets and usage of analytics to drive business and product decisions and strategy * The skill to explain complicated analyses in a simple way to colleagues and management * Ability to work in an agile and flexible environment where change is part of the day-to-day environment * The attitude to go that extra mile when needed and celebrate success after achievements Benefits Life at Adevinta comes with its perks! Our Adevintans enjoy the following benefits: * An attractive Base Salary * Participation in our Short Term Incentive plan (annual bonus) * Work From Anywhere: Enjoy up to 20 days a year of working from anywhere! Maybe not from the moonwell why not! just make sure you have internet connection! * A 24/7 Employee Assistance Program for you and your family, because we care ️ * Win together, lose together is one of our key behaviours. At Adevinta you will find a collaborative environment with an opportunity to explore your potential and grow On top of these, we also provide a range of locally relevant benefits. Wanna know more? Apply and ask our recruiters! Adevinta is an equal opportunity employer and we value diversity. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability status. If you feel like you don't meet all of the requirements for this role but are interested, please consider applying anyway. Research suggests that women and individuals from underrepresented groups may self-select out of opportunities if they don't meet 100% of the job requirements. We strongly encourage people from historically excluded groups to apply and look forward to speaking with you.

Senior Healthcare Data Analyst 1 in Albany, NY Division of Data Services & Analytics (DDSA) Bureau of Product and Process Management (BPPM) Item 1175 The Senior Healthcare Data Analyst will work within the Division of Data Services & Analytics (DDSA) Bureau of Product and Process Management (BPPM) to provide data and business analysis support to advance the bureau's goals and mission. This hybrid role requires both strong analytical mindset and excellent communication abilities, particularly in writing. The ideal candidate will be responsible for creating comprehensive documentation and artifacts that support the development and utilization of data assets. This role will require collaboration with cross-functional teams to ensure both business and technical needs are effectively captured and translated into actionable insights and solutions. The NYS Department of Health's Division of Data Services and Analytics (DDSA) is a forward thinking, leading edge, technology driven enterprise tasked with supporting the data needs of the NYS Medicaid program, whose mission is to transform the way that Medicaid data is organized, understood, and leveraged. DDSA's goal is to enhance data driven policy agendas and program improvement efforts that span the Medicaid enterprise. Responsibilities: Develop key project documentation including project charters, solution design documents, release plans, product manuals, data dictionaries and ad-hoc reports as needed. Schedule, coordinate, and at times facilitate project and stakeholder meetings; document clear, comprehensive meeting minutes and action items. Elicit, analyze and document business and technical requirements through interviews, workshops, review of existing materials and research. Gathers and validates requirements for eligibility systems and works with information technology staff to implement business requirements into health insurance systems; reviews system change requests to ensure systems work correctly. Draft reports, policies, and procedures for internal and external review and distribution; responds to routine information requests from providers, insurance plans, and other groups. Draft ad-hoc reports, analyses and dashboards to support operational and strategic decision making. Contribute to process improvements by identifying opportunities to streamline documentation, workflows and optimizing outputs. Create and maintain business rules and data lineage documentation for new and existing data assets. Support quality assurance efforts and the testing of new data assets. Resource Documentation Management and SharePoint support. Maintain documentation on project needs and requests. Monitor data requests to ensure they are moving through the proper process. Prepare materials for meetings either in-person or virtually. The ideal candidate will have strong organizational and communication skills especially in crafting clear and concise materials. The candidate should be able to take on new tasks and subject areas, willing to work in a team environment, and able to adjust to multiple priorities successfully. Comprehensive on-the-job training and peer/supervisory support will be provided Onboarding support, a formal training program and ongoing supervisory and coaching support will be available to ensure the candidate can succeed with proper attitude and effort. Basic Qualifications: 5 years of SAS, SQL, Tableau, Python, R, or equivalent analytical/programming software experience Proficient in MS Word, PowerPoint, Visio, & Excel Desired Characteristics: Experience with administering third-party tools and enterprise utilities required; experience with SQL, Python, R, Tableau, or other programming and visualization languages preferred. Understanding of user administration principles and basic identity management preferred. Database architecture and data management experience preferred. Experience developing both business and technical documentation. Ability to translate technical specifications and communicate in clear manner to broad audience. Work independently and collaboratively in a team environment to move projects forward. Exceptional verbal, written, and time-management skills. Proficiency in Microsoft Office, specifically Outlook, Excel, Word. Experience with SharePoint, Teams, PowerPoint, and Visio preferred. Benefits That Support You: At SSO, we invest in our people-supporting your health, financial security, and growth. Benefits include: Health, vision, and dental insurance 401(k) with discretionary employer match Paid time off and holidays Flexible spending accounts Other Perks We believe that when you thrive, so does our culture. *Employees must follow established work schedules. The usual work schedule is 37.5 hours per week, Monday through Friday. Normal work hours are 8:30 a.m. to 4:30 p.m. unless otherwise specified by the supervisor, this includes a half hour unpaid lunch break. Total work hours must equal 37.5 hours per week.

Full-time Description Life at Healthy Alliance At Healthy Alliance, our purpose is to improve health and empower communities facing barriers. Every community has its own needs, affecting the health of those who live, learn, work, and play within them. Our network brings together organizations, big and small, to coordinate and collaborate so that all communities have reliable access to the resources they need. Why? Because every New Yorker deserves the same opportunity to be healthy. Designated as the Social Care Network (SCN) Lead Entity for the Capital Region, Central NY, and North Country under New York's 1115 Waiver Amendment's SCN & Health-Related Social Needs (HRSN) Program, we are responsible for ensuring that there is a seamless, consistent end-to-end process for screening, navigation, and the delivery of services - including food, housing, and transportation to thousands of Medicaid Members. Transformative in nature, this novel Program will further sustain our vision of cultivating a world wherein everyone has a fair and just opportunity to be as healthy as possible. As a 2019-2024 Albany Business Review's Best Places to Work and a 2021-2025 Modern Healthcare's Best Places to Work in Health Care award recipient, we strive to maintain a culture wherein high-performing, mission-driven team members collectively work toward better health for all. Dedicated to promoting a culture built upon autonomy, mastery, and purpose, we believe our differences in strengths and perspectives play an integral role in propelling us forward, while our core values ground us, serving as the common thread that unites our team. Why You Should Join Healthy Alliance We offer amenities, professional development opportunities, events, and programming that support the interests of our teams while expanding and enriching our culture. Some of the benefits you can expect when you join Healthy Alliance include: Competitive compensation package Comprehensive insurance benefits available the 1st of the month after hire, including but not limited to medical, dental and vision, group short-term disability and life insurance with buy-up options, flexible spending and HSA company-contributed accounts, and more 401K with a company match Unlimited paid time off after 90 days of employment Company-sponsored training and certification opportunities Remote employer with flexible work schedules A workplace that values safety, respect, employee engagement, recognition, and diversity Salary range: $95,250-$109,537 per year, commensurate with experience Who You Are The Senior Data Analyst is responsible for establishing and maintaining data analysis strategy and processes that support the organization's mission, strategic initiatives, and contractual obligations. This position is part of our Transformation Team and collaborates closely with business and technical teams, driving data-driven decisions and insights to improve the health of communities facing barriers. What You'll Do Works with key business partners to understand business priorities and develop effective and timely analytic solutions. Translates business requirements into data and reports technical specifications. Queries, profiles, validates, analyzes, and evaluates data across multiple databases with a keen eye on data integrity and accuracy. Analyzes social care and other health care related data and calculates metrics, including health care outcomes, quality, and cost savings. Mentors' other data analysts in creating and executing analysis plans. Presents and explains results of analyses, internally and externally, guiding business departments in effective use of data. Investigates and analyzes data to identify trends that could benefit both internal and external clients. Support quality control processes by Identifying data discrepancies and opportunities for improved data capture. Ensures constant compliance with data standards and data sharing regulations and guidelines, with an emphasis on continuous quality control and process improvements. Designs and develops ongoing and ad-hoc reports and dashboards for internal and external customers, ensuring timeliness and accuracy of data. Provides data management documentation, inclusive of reporting and analytics platforms. Stays up to date on data trends, tools, and data analytic methodologies used in the health care industry. Embody Healthy Alliance's vision, mission, and goals. Contribute to a positive work environment by demonstrating cultural expectations, rewarding performance, and valuing accountability, diversity and inclusion, flexibility, continuous improvement, collaboration, creativity, and fun. This job description is not designed to cover or contain a comprehensive listing of task activities and/or duties that are required of the employee for this job. Responsibilities and activities may change at any time with or without notice. Requirements What You'll Need Education Bachelor's degree in mathematics, statistics, computer science, and engineering. Equivalent work experience in a related field may be considered in lieu of degree requirements. Professional Work Experience Minimum of 5+ years data analysis experience utilizing large diverse data sets. Must have experience in health care or social care services industries. Knowledge, Skills, and Abilities Strongly preferred experience or familiarity with Clinical Quality reporting, Medicare, Medicaid or Commercial payer claims data, ICD, Electronic Health Record/Electronic Medical Record (EHR/EMR) Systems, Health Information Exchange (HIE)/Health Data Exchange standards, clinical data sets, health policy issues including public health, health care analysis concepts and tools including master data management, patient attribution, and risk scoring. Experience in performance tuning of reporting queries. Experience developing advanced SQL queries. Experience analyzing and conducting critical analysis to derive business insights (i.e., segmentation). Experience developing reports and dashboards in a Business Intelligence (BI) tool (i.e., Power BI, Tableau). Ability to perform quality control activities and trouble- shooting data quality issues. Experience with programming tools and languages (e.g., SAS, Python, JavaScript, Ruby, etc.) a plus. Experience generating analyses using statistical methods and software tools (e.g., SAS, R, Python) a plus. Experience with Azure a plus. Strong communication skills and ability to transform data into information, information into complex analytics and analytics into actionable plain language to drive business decisions. Strong verbal and written communication skills with the ability to communicate methods and results to a non-technical audience. Experience and proficiency in Microsoft Office suite of products, including Excel and Power BI. Strong analytical, problem-solving and presentation skills. Performs all work in accordance with Healthy Alliance core competencies and values. Your next career opportunity is at Healthy Alliance! This position involves sedentary work that primarily involves sitting/standing, use of typical office equipment such as a computer, laptop, and cell phone. The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Equal Opportunity Employer Healthy Alliance is an Equal Opportunity Employer and does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We adhere to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to **********************. Privacy Requirement This job function involves potential access / interaction with protected health information. Position will be required to abide by company policies and procedures that support federal, state, and local HIPAA regulations. Any violations will be subject to company policy which includes disciplinary actions up to and including separation of employment. Healthy Alliance is an At-Will Employer. Salary Description $95,250-$109,537 per year

Optimere performs mail sorting; performing some of the work that would typically be performed by the USPS . For completing this work, Presort Services receives discounted postage rates. By performing this sorting work on behalf of our clients, we are able to share a portion of that discount with them. Our national network of operating centers processes over 17 billion pieces of mail annually. We provide mailers with end-to-end solutions from pick-up at their location into delivery into the postal system network, providing optimal postage savings. Essential Duties and Responsibilities: May be trained to prepare reports which convert Winsort and Msort programs to combine the information for accurate reporting, Oversees quality function in command center. Assures TQM processes and procedures are followed at all times. Performs follow-up to assure processing proceeds a pace required to meet postal deadlines. Maintains radio traffic between leads, managers and technicians. Pull in non-qualifier trays at close of job, tracks hourly totals of machines and updates planning sheets as needed. Updates LMS as required. Demonstrates safety and security precautions and follows company policies. Other duties as assigned to assist supervisors and other members of management from the command center. Knowledge, Skills & Abilities: Ability to read, understand and follow verbal and/or written instructions. Ability to work in a fast-paced environment. Ability to pay attention to detail. Experience/Education/Training Requirements: Minimum of one year progressively responsible experience in a production or mailing industry environment. Experience in any one of the following areas where familiarity of USPS requirements and/or regulations are applied: Presort, mailroom, associated industries). Strong knowledge of MS Excel and/or MS Access. Basic knowledge of MS Word, internet and e-mail. We will: Provide the opportunity to grow and develop your career through training and access to various development programs Offer an inclusive environment that encourages diverse perspectives and ideas Offer a casual and safe work environment Deliver challenging and unique opportunities to contribute to the success of a transforming organization Offer comprehensive benefits: pbprojectliving.com: Paid time off Multiple Insurance options: Medical/Dental/Vision/Pet Multiple savings plan options: 401K Plan with company match; Health Savings Account; Dependent Care Access to PB Life Perks Discount Program Eligible for PB Employee Referral Program $$ Training and opportunities for advancement Tuition Reimbursement Weekly Paychecks We actively look for prospects who: Are passionate about client success. Enjoy collaborating with others. Strive to exceed expectations. Equal Opportunities Optimere is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Optimere does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age or any other basis protected by applicable PLEASE NOTE: Optimere is unable to sponsor visas at this time. You must be a US Citizen or Permanent Resident authorized to work in the US.

GlossGenius is building an ecosystem enabling entrepreneurs to succeed. We empower small business owners to focus on being creators, not admins, by offering a range of business management tools including booking and scheduling, marketing, analytics, payment processing and much more. Over 100,000 small business owners have chosen to rely on GlossGenius every day to run their entire set of business operations. Joining its powerful, intuitive platform with its vibrant, distinguished brand, GlossGenius is the ideal combination of a fintech, SMB software, and consumer company all in one. About the Role As a Senior Data Analyst, you will be instrumental in translating complex, cross-functional data into actionable insights that directly fuel our revenue growth and operational excellence. You will operate within the central Data Analytics team and will serve as a strategic thought partner to executive and departmental leadership across Product, Sales, and Marketing, driving strategic, data-informed decision making. You will operate with autonomy, owning the full lifecycle of complex analytical projects, from initial scoping and objective definition to final execution and presentation of findings. You will report to the Manager, Data Analytics. You must be commutable to our NYC or SF office. We default to being in-office 3-4 days per week with required attendance on Tuesdays and Thursdays. What You'll Do Define and analyze cross-domain business metrics and KPIs such as customer retention, product utilization, customer growth and satisfaction, and operational efficiency Identify opportunities for optimization and revenue growth through analysis of customer performance data, measuring initiatives' success, and defining the customer lifecycle Partner with Product on complex, end-to-end initiatives, owning the analytical roadmap from initial opportunity sizing and experimental design to post-launch impact assessment and iteration Support the Machine Learning team's ML implementations with guidance on feature development, necessary business-context, and model evaluation Develop, maintain, and share digestible reports and dashboards related to team efficiency, customer lifecycle stages, and various dynamic elements of GlossGenius customers' needs and behaviors Drive root-cause analyses for cross-domain business metric investigations Work closely with cross-functional teams, such as Product, Marketing, and Sales, to understand the commonalities of their data needs and use-cases, bridge knowledge gaps, and hone analytics workflows Provide guidance and support to colleagues on interpreting business metrics, using analytics tools, and reporting impact effectively What We're Looking For 5+ years of experience in a highly analytical role or business/revenue operations role, ideally at a D2C or SaaS company Comfort with ambiguous problem-statements and working directly with a variety of technical and non-technical leadership stakeholders Ability to effectively own a program or measurable team-level objective at the company Advanced proficiency in SQL Working knowledge of Python A demonstrated self-starter with strong communication and project management skills Proficiency developing within data warehouse transformation pipelines, such as with dbt Experience with Hex, Looker, Tableau, or other data visualization tools is preferred Familiarity with CRM and martech tools like Hubspot, Iterable and similar is a plus Benefits & Perks Flexible PTO Competitive health & dental insurance options, with premiums partially covered by GG Fertility and adoption benefits via Carrot and Kindbody Generous, fully-paid parental leave policy 401k benefit - employees are eligible to contribute starting day 1 of employment Professional Development - employees receive a yearly stipend for approved learning and educational-related expenses Pre-tax commuter benefits Dependent Care FSA Home office support Team Bonding opportunities - as a distributed team, being able to build meaningful bonds both virtually and in person is incredibly important to us! We are constantly evaluating how we accomplish this and currently, teams are given opportunities to gather in person throughout the year The OTE for this role is between $160,000-$190,000 + target equity + benefits. The compensation package offered is dependent upon many factors including skills, experience, location, and education. The range is subject to change and may be modified in the future. Additionally, this role is currently eligible to participate in GlossGenius's equity plan as well as a range of health & wellbeing, retirement savings, and other benefits within our total rewards offering. Personal Information: Notice at Collection for Employees and Applicants Agency Submissions If a resume or applicant is submitted to GlossGenius by a third party without a signed search agreement in place, it will become the property of GlossGenius and no fee will be paid, irrespective of whether the candidate is hired.

Team: Sales and Marketing Type: Full-time

Ask IT Consulting Inc, backed by a $500 million Microtek group company, provides an industry leading blend of technology, business consulting, and outsourcing services. Ask IT is a minority-owned enterprise; it has been founded on providing the highest quality possible and on the devotion to customer satisfaction. ASK IT consulting is an equal opportunity employer, which is a global staffing, consulting and technology solutions company, offering industry-specific solutions to fortune 500 clients and worldwide corporations. Job Description Job Profile- Testing Business Analyst Duration- 24 Months Location- Albany, NY Candidates should have at least 84 months experience, and at least one of the following should apply 1. Experience eliciting/extracting detailed business requirements from customer/project stakeholders or system artifacts. 2. Experience with systems related to criminal justice processing (including but not limited to: statistical reporting, disposition processing, fingerprint identification processing, criminal history updating, Sex Offender management, tracking of Wanted/Missing persons, or initiatives related to Offender Supervision. 3. Experience developing/maintaining test plans and detailed test cases, executing those tests, validating test results, and logging/tracking related defects. 4. Experience using HP Quality Center and/or Requisite Pro. 5. Experience with automated testing and/or Quick Test Pro. Additional Information If you are interested in finding out more about opportunities near you, if you are in need of a staffing firm such as ours, or if you just have a question regarding your resume and career path, please email me at janeaskitc.com

Please note that we will never request payment or bank account information at any stage of the recruitment process. As we continue to grow our teams, we urge you to be cautious of fraudulent job postings or recruitment activities that misuse our company name and information. Please protect your personal information during any recruitment process. While Monks may contact potential candidates via LinkedIn, all applications must be submitted through our official website (monks.com/careers). Description As a Senior Data Scientist at Monks, you'll help shape and deliver cutting-edge data solutions that power intelligent, personalised experiences for some of the world's most influential brands. You'll lead the design, development, and deployment of Machine Learning (ML) and Generative AI (GenAI) solutions that deliver measurable business impact, from predictive audience modelling to agentic automation systems, connecting data, intelligence, and action. You'll work across the full data lifecycle, from ingestion and transformation to model orchestration and real-time activation, building the foundations that enable adaptive, insight-driven experiences at scale You will partner with UX leads, data scientists and creative technologists, bridging the gap between data engineering, applied machine learning, and emerging agentic workflows. You'll define and enforce standards that ensure that data, models, and automation pipelines are scalable, resilient, and fully governed at runtime. You'll shape the technical architecture for AI-driven systems that can reason, act, and learn autonomously across complex digital environments, connecting real-time data, contextual intelligence, and orchestration layers to deliver faster, more adaptive, and continuously improving customer experiences. You bring a solid foundation in modern cloud ecosystems (GCP, AWS, or Azure), data warehousing (BigQuery, Snowflake, etc.), and advanced ETL/ELT orchestration. Your deep understanding of machine learning and automation frameworks enables you to architect and operationalize predictive models, recommender systems, and agent-assisted optimization workflows. This Netherlands-based role supports our Interactive team in delivering data-driven innovation for a major Dutch client. You'll work in a fast-paced, collaborative environment at the forefront of AI, automation, and digital experience design, where your technical expertise helps connect data, creativity, and performance. If you're passionate about engineering intelligence from data and advancing autonomous, adaptive systems, we'd love to meet you. Responsibilities * Lead the design, development, and deployment of advanced Machine Learning (ML) and Generative AI (GenAI) models on cloud platforms such as GCP and AWS, ensuring they are scalable, resilient, and compliant with enterprise standards. * Architect and implement predictive frameworks, including propensity, churn, and recommendation models, translating analytical results into measurable business impact. * Design and operationalise GenAI architectures using APIs (e.g., OpenAI, Gemini, Anthropic) and frameworks like LangChain or LlamaIndex, integrating them into production-grade workflows. * Define data science standards and modelling pipelines, including feature engineering, data versioning, and reproducibility practices using tools such as dbt and Dataform. * Oversee data integration and transformation workflows, automating ingestion and orchestration across APIs, cloud services, and real-time data pipelines. * Establish MLOps best practices for continuous delivery, monitoring, and retraining of models in production environments. * Ensure governance, observability, and documentation across all machine learning assets, adhering to internal standards for reproducibility, ethics, and security. * Design and evaluate experimental frameworks (A/B, multivariate, or causal) to measure model impact, validate hypotheses, and translate insights into actionable optimization strategies. * Inspire and guide data engineers, UX strategists, and creative technologists in translating data and AI into intelligent, human-centered digital experiences. * Communicate complex analytical outcomes through clear visualisations and narratives, influencing technical and non-technical stakeholders alike. Requirements * MSc in a quantitative discipline such as Data Science, Computer Science, Mathematics, Statistics, or a related field. * 4+ years of professional experience applying data science in production environments, ideally across marketing, product, or customer-experience domains. * Proven ability to design, develop, and deploy scalable machine learning and GenAI solutions on cloud platforms such as GCP or AWS. * Experience working in cloud-native data ecosystems, including data warehousing (BigQuery, Snowflake, Redshift) and modelling frameworks such as dbt or Dataform. * Deep understanding of statistical inference, machine learning algorithms, and experimental design, with the ability to translate analytical outcomes into actionable recommendations. * Practical experience integrating APIs and automation frameworks (e.g., LangChain, Airflow, Cloud Functions) for data and AI orchestration. * Familiarity with MLOps principles, including CI/CD pipelines, model versioning, and continuous monitoring in production. * Demonstrated ability to communicate complex concepts clearly to both technical and non-technical stakeholders, influencing strategy and decision-making. * Strong analytical, problem-solving, and collaborative leadership skills, with the ability to mentor others and drive cross-disciplinary innovation. * Professional cloud certification (e.g. Google Cloud Professional Data Engineer or Machine Learning Engineer, AWS Certified Machine Learning - Specialty, or Azure Data Scientist Associate). * Native-level Dutch and fluent in English, both written and spoken. Preferred Requirements: * Experience in consultancy or agency environments, leading end-to-end data science initiatives across multiple clients, industries, and stakeholder ecosystems. * Applied experience with GenAI or LLM-based systems, such as retrieval-augmented generation (RAG), prompt engineering, or embedding-based personalisation. * Familiarity with ML governance and Responsible AI principles, including model monitoring, bias mitigation, and explainability. * Familiarity with marketing and behavioural ioral data, including analytics platforms and media performance data from digital advertising ecosystems. * Understanding of digital marketing and advertising industry practices across client verticals such as retail, finance, and government. * Contributions to the data or AI community (e.g., open-source projects, publications, conference talks) are a strong plus. #LI-FP1 About Monks Monks is the global, purely digital, unitary operating brand of S4Capital plc. With a legacy of innovation and specialized expertise, Monks combines an extraordinary range of global marketing and technology services to accelerate business possibilities and redefine how brands and businesses interact with the world. Its integration of systems and workflows delivers unfettered content production, scaled experiences, enterprise-grade technology and data science fueled by AI-managed by the industry's best and most diverse digital talent-to help the world's trailblazing companies outmaneuver and outpace their competition. Monks was named a Contender in The Forrester Wave: Global Marketing Services. It has remained a constant presence on Adweek's Fastest Growing lists (2019-23), ranks among Cannes Lions' Top 10 Creative Companies (2022-23) and is the only partner to have been placed in AdExchanger's Programmatic Power Players list every year (2020-24). In addition to being named Adweek's first AI Agency of the Year (2023), Monks has been recognized by Business Intelligence in its 2024 Excellence in Artificial Intelligence Awards program in three categories: the Individual category, Organizational Winner in AI Strategic Planning and AI Product for its service Monks.Flow. Monks has also garnered the title of Webby Production Company of the Year (2021-24), won a record number of FWAs and has earned a spot on Newsweek's Top 100 Global Most Loved Workplaces 2023. We are an equal-opportunity employer committed to building a respectful and empowering work environment for all people to freely express themselves amongst colleagues who embrace diversity in all respects. Including fresh voices and unique points of view in all aspects of our business not only creates an environment where we can all grow and thrive but also increases our potential to produce work that better represents-and resonates with-the world around us.

Allara is a comprehensive women's health provider that specializes in expert, longitudinal care that supports women through every life stage. Trusted by over 40,000 women nationwide, Allara makes expert healthcare accessible by connecting patients with multidisciplinary care teams that have a deep understanding of hormonal, metabolic, and reproductive care. Allara provides ongoing support for hormonal conditions like PCOS, chronic conditions like insulin resistance, and life stages like perimenopause, helping patients see improved health outcomes. As one of the fastest-growing women's health platforms in the U.S., Allara is bridging long-overlooked gaps in healthcare for women. The Opportunity This is a hands-on role, driving data strategy for our rapidly growing organization. We need someone who can accelerate our data capabilities and build the foundation that takes us to the next stage of growth. You'll own our analytics systems, establish data practices that scale, and prepare us for a future where structured care plan data and outcomes measurement are core to our competitive advantage. If you've been waiting for the opportunity to shape a data organization rather than inherit one, this is it, as you'll have a tremendous opportunity to grow with Allara and leverage our unique and vast dataset. Location: Hybrid (NYC). We value in-person collaboration and aim for at least three days per week in our NYC office, with flexibility as needed. What you'll do: Create unified visibility across the patient journey. Stitch together data from clinical systems, product analytics, and marketing/growth tools to build end-to-end views of how patients flow through our experience. Connect the dots between acquisition source, product engagement, clinical outcomes, and retention so we can answer questions like: Which channels bring the highest-value patients? How does app usage correlate with health improvement? Where do we lose people, and why? Own analytics that drive clinical and business outcomes. Partner directly with clinical ops, product, and leadership to answer questions like: Which interventions improve patient outcomes? Where are bottlenecks in our care delivery? What cohorts should we prioritize? Your analysis will directly inform resource allocation, product roadmap, and clinical protocols. Prepare us for outcomes-based care. Structure and instrument data collection for care plans, clinical workflows, and patient outcomes. Build the data models that let us prove our clinical efficacy and eventually support value-based care contracts. Enable rigorous experimentation and product optimization. Partner with product and growth marketing functions to design and analyze A/B tests that drive confident decision-making. Set up experimentation infrastructure using tools like Amplitude or similar platforms. Ensure we're measuring what matters with proper statistical rigor-from sample size calculations to significance testing to understanding when results are actionable vs. noise. Establish the discipline. Set standards for data quality, documentation, and governance. Make data accessible to non-technical stakeholders while maintaining rigor. Create a culture where decisions are grounded in evidence, not instinct. Scale yourself. Document your work, build tools that empower others, and hire your eventual team. You're not just doing the work-you're establishing how data work gets done here. Who you are: You're fluent in statistics and experimentation. You know how to design and analyze A/B tests properly-power calculations, multiple testing corrections, confidence intervals, statistical significance vs. practical significance. You can both set up the technical infrastructure for experimentation and partner with product teams to interpret results correctly. You've connected the full funnel. You have hands-on experience building analytics that span acquisition, product engagement, and downstream outcomes. You've wrestled with identity resolution, attribution models, and connecting behavioral data to business metrics. You know how to create coherent narratives from fragmented data sources. You translate ambiguity into action. You're comfortable when the question is "what should we know?" rather than "pull this metric." You probe stakeholder requests, identify the real question underneath, and deliver insights that change decisions. You care about healthcare. Experience in healthcare or similarly regulated industries is strongly preferred. You understand why HIPAA matters, what clinical outcomes mean, and why data quality isn't negotiable when patients are involved. You communicate insights, not just numbers. You can explain technical concepts to non-technical audiences. Your dashboards tell stories. Your documentation means the next person can pick up where you left off. You have an ownership mentality. You're energized by autonomy and responsibility. You ship incrementally rather than waiting for perfection. When something breaks, you fix it. When something's missing, you build it. You're pragmatic about scope. You know when to build custom vs. buy off-the-shelf. You optimize for impact, not elegance. You're comfortable with 80/20 solutions that unlock the next question. Preferred Qualifications Experience implementing experimentation platforms (Amplitude Experiment, Optimizely, LaunchDarkly, or similar) Background with clinical data standards (HL7, FHIR) or outcomes research Experience in consumer health, digital health, or health tech environments Early-stage startup experience where you wore multiple hats Experience working with LLMs, and with key concepts such as fine-tuning, RAG, MCP, etc. What Allara Offers Compensation & Career Growth $120,000 - $160,000 with opportunities for advancement Equity Professional development & employee learning programs Actual compensation will be determined based on a variety of factors, including but not limited to: candidate experience, education, certifications, and skill set. In addition to base salary, our total compensation package includes equity, comprehensive health benefits (medical, dental, vision), generous paid time off, and additional wellness and professional development perks. Work Environment & Flexibility 3-day hybrid in NYC Unlimited PTO & 11 company holidays Annual onsite in NYC Health & Wellness Medical, dental, and vision benefits Health Savings Account (HSA) & Flexible Spending Account (FSA) Long- and short-term disability coverage Annual employee wellness stipend Family & Future Planning 401(k) plan Parental leave & family planning support benefits Additional Perks Company-issued laptop Annual work-from-home stipend A collaborative, mission-driven culture focused on improving patient care At Allara, we believe in celebrating everything that makes us human and are proud to be an equal-opportunity workplace. We embrace diversity and are committed to building a team that represents a variety of backgrounds, perspectives, and skills. We believe that the more inclusive we are, the better we can serve our members. We're an Equal Opportunity Employer and do not discriminate against candidates or patients based on race, color, gender, sexual orientation, gender identity or expression, age, religion, disability, national origin, protected veteran status, or any other status protected by applicable federal, state, or local law.

At Navista, our mission is to empower community oncology practices to deliver patient-centered cancer care. Navista, a Cardinal Health company, is an oncology practice alliance co-created with oncologists and practice leaders that offers advanced support services and technology to help practices remain independent and thrive. True to our name, our experienced team is passionate about helping oncology practices navigate the future. We are seeking an innovative and highly skilled **Senior Data Scientist** with specialized expertise in Generative AI (GenAI), Large Language Models (LLMs), and Agentic Systems to join the Navista - Data & Advanced Analytics team supporting the growth of our Navista Application Suite and the Integrated Oncology Network (IoN). In this critical role, you will be at the forefront of designing, developing, and deploying advanced AI solutions that leverage the power of generative models and intelligent agents to transform our products and operations. You will be responsible for pushing the boundaries of what's possible, from foundational research to production-ready applications, working with diverse datasets and complex problem spaces, particularly within the oncology domain. The ideal candidate will possess a deep theoretical understanding and practical experience in building, fine-tuning, and deploying LLMs, as well as architecting and implementing agentic frameworks. You will play a key role in shaping our AI strategy, mentoring junior team members, and collaborating with cross-functional engineering and product teams to bring groundbreaking AI capabilities to life, including developing predictive models from complex, often unstructured, oncology data. **_Responsibilities_** + **Research & Development:** Lead the research, design, and development of novel Generative AI models and algorithms, including but not limited to LLMs, diffusion models, GANs, and VAEs, to address complex business challenges. + **LLM Expertise:** Architect, fine-tune, and deploy Large Language Models for various applications such as natural language understanding, generation, summarization, question-answering, and code generation, with a focus on extracting insights from unstructured clinical and research data. + **Agentic Systems Design:** Design and implement intelligent agentic systems capable of autonomous decision-making, planning, reasoning, and interaction within complex environments, leveraging LLMs as core components. + **Predictive Modeling:** Develop and deploy advanced predictive models and capabilities using both structured and unstructured data, particularly within the oncology space, to forecast outcomes, identify trends, and support clinical or commercial decision-making. + **Prompt Engineering & Optimization:** Develop advanced prompt engineering strategies and techniques to maximize the performance and reliability of LLM-based applications. + **Data Strategy for GenAI:** Work with data engineers to define and implement data collection, preprocessing, and augmentation strategies specifically tailored for training and fine-tuning generative models and LLMs, including techniques for handling and enriching unstructured oncology data (e.g., clinical notes, pathology reports). + **Model Evaluation & Deployment:** Develop robust evaluation metrics and methodologies for generative models, agentic systems, and predictive models. Oversee the deployment, monitoring, and continuous improvement of these models in production environments. + **Collaboration & Leadership:** Collaborate closely with machine learning engineers, software engineers, and product managers to integrate AI solutions into our products. Provide technical leadership and mentorship to junior data scientists. + **Innovation & Thought Leadership:** Stay abreast of the latest advancements in GenAI, LLMs, and agentic AI research. Proactively identify new opportunities and technologies that can enhance our capabilities and competitive advantage. + **Ethical AI:** Ensure the responsible and ethical development and deployment of AI systems, addressing potential biases, fairness, and transparency concerns. **_Qualifications_** + 8-12 years of experience as a Data Scientist or Machine Learning Engineer, with a significant focus on deep learning and natural language processing, preferred + Bachelor's degree in related field, or equivalent work experience, preferred + Proven hands-on experience with Generative AI models (e.g., Transformers, GANs, VAEs, Diffusion Models) and their applications. + Extensive experience working with Large Language Models (LLMs), including fine-tuning, prompt engineering, RAG (Retrieval Augmented Generation), and understanding various architectures (e.g., GPT, Llama, BERT, T5). + Demonstrated experience in designing, building, and deploying agentic systems or multi-agent systems, including concepts like planning, reasoning, and tool use. + Strong experience working with unstructured data, particularly in the oncology domain (e.g., clinical notes, pathology reports, genomic data, imaging reports), and extracting meaningful features for analysis. + Demonstrated ability to create and deploy predictive capabilities and models from complex datasets, including those with unstructured components. + Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow. + Experience with relevant libraries and tools (e.g., Hugging Face Transformers, LangChain, LlamaIndex). + Strong understanding of machine learning fundamentals, statistical modeling, and experimental design. + Experience with at least one cloud platforms ( GCP, Azure) for training and deploying large-scale AI models. + Excellent problem-solving skills, with the ability to tackle complex, ambiguous problems and drive solutions. + Strong communication and presentation skills, capable of explaining comp + Experience in the healthcare or life sciences industry, specifically with oncology data and research, highly preferred + Experience with MLOps practices for deploying and managing large-scale AI models, highly preferred + Familiarity with distributed computing frameworks (e.g., Spark, Dask), highly preferred + Experience contributing to open-source AI projects, highly preferred **_What is expected of you and others at this level_** + Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects + Participates in the development of policies and procedures to achieve specific goals + Recommends new practices, processes, metrics, or models + Works on or may lead complex projects of large scope + Projects may have significant and long-term impact + Provides solutions which may set precedent + Independently determines method for completion of new projects + Receives guidance on overall project objectives + Acts as a mentor to less experienced colleagues **Anticipated salary range:** $123,400 - $176,300 **Bonus eligible:** Yes **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 02/15/2026 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. \#LI-Remote _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

Data Architect / Microsoft Power Platform Architect (6‑Month Project) Duration: 6 months (with potential extension) Start: Immediate Employment Type: W2 About Us Slalom is a purpose-led, global business and technology consulting company. From strategy to implementation, our approach is fiercely human. In six+ countries and 43+ markets, we deeply understand our customers-and their customers-to deliver practical, end-to-end solutions that drive meaningful impact. Backed by close partnerships with over 400 leading technology providers, our 10,000+ strong team helps people and organizations dream bigger, move faster, and build better tomorrows for all. We're honored to be consistently recognized as a great place to work, including being one of Fortune's 100 Best Companies to Work For seven years running. Learn more at slalom.com. Overview We are seeking a Microsoft Power Platform Architect with strong Data Architecture expertise to support an in‑flight initiative focused on building a pricing application. This role will provide immediate capacity to an existing team of six platform developers, performing a full architectural review of the current solution and optimizing an established design spanning Power Platform (front end) and Databricks/Snowflake (backend). The ideal candidate brings hands-on experience across Power Apps, Power Automate, and modern data engineering and is comfortable stepping into a partially built solution to strengthen quality, stability, and performance. Key Responsibilities Architectural & Technical Leadership * Perform a full end‑to‑end architectural review of the existing pricing application across Power Platform, Databricks, and Snowflake. * Optimize the already-defined architecture, identifying gaps, constraints, and opportunities for improvement. * Provide expert guidance on best practices for Power Platform, data modeling, integration design, and automation patterns. Development & Optimization * Enhance and optimize Power Apps, Power Automate flows, and integrations with Databricks and Snowflake. * Implement improvements to ensure scalability, reliability, and performance of the pricing solution. * Review and refine backend data pipelines, SQL logic, and data transformations as needed. Quality Engineering & Delivery Support * Build and execute end‑to‑end testing strategies, including functional, integration, and regression testing. * Perform bug resolution and troubleshoot issues across both front-end and back-end layers. * Collaborate with the existing team of six developers to ensure smooth delivery and alignment with solution architecture. Cross‑Functional Collaboration * Work closely with product owners, developers, and data engineers to validate technical decisions. * Communicate architectural recommendations clearly to both technical and business stakeholders. * Support Agile ceremonies and sprint planning as needed. Required Skills & Experience * Power Automate (expert level) * Hands-on experience building and optimizing Power Apps * Experience managing and troubleshooting Power Platform flows * Strong understanding of Databricks and Snowflake data architecture * Ability to conduct thorough architectural reviews and produce actionable recommendations * Strong SQL skills for debugging, optimization, and backend analysis * Experience working on mid‑to‑large scale applications within the Power Platform ecosystem Preferred / Nice‑to‑Have Skills * Experience building custom connectors or plug-ins in C# * Agile delivery experience * Power BI (report development or model optimization) * Background in pricing, financial modeling, or workflow-driven applications Compensation and Benefits Slalom prides itself on helping team members thrive in their work and life. As a result, Slalom is proud to invest in benefits that include meaningful time off and paid holidays, 401(k) with a match, a range of choices for highly subsidized health, dental, & vision coverage, adoption and fertility assistance, and short/long-term disability. We also offer yearly $350 reimbursement account for any well-being-related expenses. Slalom is committed to fair and equitable compensation practices. For this position, the base salary pay range is $80/hr to $100/hr. Actual compensation will depend upon an individual's skills, experience, qualifications, location, and other relevant factors. The salary pay range is subject to change and may be modified at any time. EEO and Accommodations Slalom is an equal opportunity employer and is committed to inclusion, diversity, and equity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans' status, or any other characteristic protected by federal, state, or local laws. Slalom will also consider qualified applications with criminal histories, consistent with legal requirements. Slalom welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team if you require accommodations during the interview process. #DMVHOT

Empassion is a Management Services Organization (MSO) focused on improving the quality of care and costs on an often neglected “Advanced illness/ end of life” patient population, representing 4 percent of the Medicare population but 25 percent of its costs. The impact is driven deeper by families who are left with minimal options and decreased time with their loved ones. Empassion enables increased access to tech-enabled proactive care while delivering superior outcomes for patients, their communities, the healthcare system, families, and society.What success looks like Collaborate with cross-functional teams to understand business requirements and report on data from various sources, ensuring data quality, consistency, and accuracy. Calculate traditional (PMPM costs, utilization, etc.) and novel (program engagement, capitation rates, etc.) healthcare metrics from claims and product data. Help to validate regular claims and eligibility data refreshes. Act as a healthcare data SME on a rapidly growing Data & Analytics team. Design, develop, and maintain algorithms and data models, using SQL and dbt. Create visually appealing and informative visualizations and dashboards to communicate data insights and enable data-driven decision-making to stakeholders, using Looker. Create documentation and training materials for technical and non-technical users of our data products What you will bring 4+ years of experience in healthcare analytics, analytics engineering, or medical economics, having delivered actionable insights from big data analytics environments to Clinical, Operations, or Finance teams Deep familiarity with healthcare claims and eligibility data Strong SQL skills Excellent communication abilities around highly technical data topics and the ability to work with a diverse set of technical and non-technical audiences (peers, engineers, operations, external customers) Proficiency with BI/reporting tools (Looker, Tableau, etc.) Excitement about working in a fast-moving startup environment A bias for action and enthusiasm for fast iteration Nice to have: Proficiency with dbt and templated SQL Familiarity with clinical healthcare data sources and standards (ADT, EHR, Labs, FHIR, USCDI, etc.) Experience with statistical analysis software (Python/pandas, R, etc.)

Come work with us: Metropolitan Commercial Bank (the “Bank”) is a full-service commercial bank based in New York City. The Bank provides a broad range of business, commercial, and personal banking products and services to individuals, small businesses, private and public middle-market and corporate enterprises and institutions, municipalities, and local government entities. Metropolitan Commercial Bank was named one of Newsweek's Best Regional Banks and Credit Unions 2024. The Bank was ranked by Independent Community Bankers of America among the top ten successful loan producers for 2023 by loan category and asset size for commercial banks with more than $1 billion in assets. Kroll affirmed a BBB+ (investment grade) deposit rating on January 25, 2024. For the fourth time, MCB has earned a place in the Piper Sandler Bank Sm-All Stars Class of 2024. Metropolitan Commercial Bank operates banking centers and private client offices in Manhattan, Boro Park, Brooklyn and Great Neck on Long Island in New York State. The Bank is a New York State chartered commercial bank, a member of the Federal Reserve System and the Federal Deposit Insurance Corporation, and an equal housing lender. The parent company of Metropolitan Commercial Bank is Metropolitan Bank Holding Corp. (NYSE: MCB). Position summary: The primary function of this position is to support the Compliance Director - Monitoring and Testing in the development, implementation, execution and reporting of the Bank's compliance testing, monitoring, and validation exercises in accordance with the Bank's Compliance Monitoring and Testing (CMT) Plan. Strong analytical skills, attention to detail, and a thorough understanding of risk management principles are essential for success in this role. The successful candidate for this role will be a proactive and analytical individual with a solid understanding of CMS, risk management principles, excellent communication skills, and the ability to work collaboratively in a dynamic environment. We have a flexible work schedule where employees can work from home one day a week. Essential functions and responsibilities Responsible for supporting, and reporting to, the Compliance Director to develop, monitor, and execute the Bank's Compliance and Monitoring Plan. Monitor, test and report on the Bank's adherence to its regulatory compliance policies, procedures and controls across all product lines. Track issues to completion and assure corrective action has been implemented within specified timeframes. Assist the business lines with the implementation of new or changes to regulations. Support and participate in the development of management and Board level reporting, including metrics on adherence to testing schedule, open/closed/delinquent testing action plans, and other items as directed. Develop effective relationships within Compliance and with other Bank stakeholders including Business process owners, external clients and Internal Audit function. Inform Compliance management of significant compliance matters that require their attention or action. Assist the Compliance Director with responding to regulatory agencies' requests for information as well as internal audit requests. Assist Compliance Governance to perform annual compliance risk assessments. Provide in-house training to address identified weaknesses. Serve as a compliance resource to Bank employees. Maintain up-to-date knowledge of consumer protection laws and regulations. Other compliance duties as assigned. Minimum Experience 2-5 years of Bank Compliance monitoring & testing experience Bachelor's degree; Advanced degree a plus Certified Regulatory Compliance Manager (CRCM) designation a plus Knowledge, skills and abilities: Knowledge and experience with Compliance monitoring and testing principles including planning, risk assessments, regulatory controls, operating effectiveness testing, and reporting activities; Proficiency in compliance and risk management principles, methodologies, and frameworks; Familiarity with risk management software and tools (e.g., GRC platforms); Excellent oral communication and writing skills in interacting with non-executives and executive management and across a number of business lines and control functions; Strong presentation skills, including the ability to present findings and recommendations to senior leadership; Proficient in MS Office applications (Excel, Word, PowerPoint) Knowledge of Federal Reserve, New York State Department of Financial Services and Consumer Financial Protection Bureau rules and regulations; Knowledge of banking regulations and regulatory frameworks, including but not limited to Dodd-Frank Act, and consumer protection laws; Deposit and commercial lending knowledge is a plus; Detail-oriented and organized, with the ability to manage multiple priorities and deadlines in a fast-paced environment; and Sound judgment and decision-making skills, with the ability to balance regulatory requirements with business objectives and risk considerations. Potential Salary: $80k - $100k annually This salary range reflects base wages and does not include benefits, bonus, or incentive pay. Salary bands are purposefully wide ranging to encompass the different factors considered in determining where a candidate falls in the range, including but not limited to, seniority, performance, experience, education, and any other legitimate, non-discriminatory factor permitted by law. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed here. Metropolitan Commercial Bank provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

This position is involved in budgeting, strategic planning, variance, patient account and operations data, and ad-hoc analysis processes, which are used to ensure sound financial operations and producing financial planning and analytical solutions (financial forecasts, reports, dashboards, tools, etc.) for leadership and stakeholders across the organization that supports business or clinical initiatives. This position provides support in the development, analysis, and interpretation of a variety of routine to moderately complex data sources to support process improvement, operations, strategy, and cost reduction. Typically this position performs analysis on complex projects, following established procedures, under limited supervision. Provides subject matter expertise to ensure sound financial operations. May train or mentor other analysts. **We are committed to offering flexible work options where approved and stated in the job posting. However, we are currently not considering candidates who reside or plan to reside in the following states: California, Connecticut, Hawaii, Illinois, New York, Rhode Island, Vermont, and Washington.** **Please note that a video interview through Microsoft Teams will be required as well as potential onsite interviews and meetings** **Essential Functions** + Leads activities related to the to the budgeting, strategic planning, variance reporting, and ad-hoc analysis processes for a facility, region, division, or may work as part of a system-wide team. + Leads in the completion of specifically defined tasks related to several routine and non-routine / complex functions (e.g. operating budget, capital budget, strategic planning, patient accounts and operations). Accountable for timely and accurate completion of assigned tasks. + Leads in the preparation of financial analysis, variance reports, and ad hoc reports. Works with internal customers to develop and prepare quantitative reports using data sources to analyze clinical and operational issues. + Acts as a technical expert and resource for others on financial systems and processes. Acts as a problem solver and mentor for others. + Leads in the preparation and review of financial analysis, variance reports, and ad hoc reports. Collects data from various Intermountain Healthcare data sources. Coordinates with others in gathering information, scheduling processes, and communicating issues. + Performs tasks requiring an in-depth analysis to identify financial trends and economic and business forecasts of reporting outcomes and variances under moderate to minimum supervisory direction. + Create and maintain databases, using knowledge of database software, for collection and tracking of data as it relates to performance measurement **Skills** + Financial Analysis + Budgeting and Financial Planning + Accounting + Spreadsheets + Decision Making + Management Reporting + Financial Operations + Data Reporting + Project Management **Qualifications** + Bachelor's degree in Accounting, Finance, or business related field preferred. Degree must be obtained through an accredited institution. Education is verified. + Demonstrated experience in a role with budgeting and finance tracking responsibilities. + Demonstrated experience in a role requiring effective project management skills, a high degree of accuracy, and sound decision making with limited supervision. + Demonstrated experience using word processing, spreadsheet, database, internet and e-mail, and scheduling applications. + Demonstrated experience in a role requiring effective verbal, written, and interpersonal communication skills. + Four years of professional experience conducting and evaluating routine financial analysis preferred. + Master's degree in Accounting, Finance, or business related field with two years of experience conducting and evaluating routine financial analysis preferred. Degree must be obtained through an accredited institution. Education is verified. + Knowledge of Intermountain Healthcare finances and financial processes preferred. **Physical Requirements** + Ongoing need for employee to see and read information, documents, monitors, identify equipment and supplies, and be able to assess customer needs. + Frequent interactions with providers, colleagues, customers, patients/clients, and visitors that require employee to verbally communicate as well as hear and understand spoken information, needs, and issues quickly and accurately. + Manual dexterity of hands and fingers to manipulate complex and delicate equipment with precision and accuracy. This includes frequent computer use for typing, accessing needed information, etc. + For roles requiring driving: Expected to drive a vehicle which requires sitting, seeing and reading signs, traffic signals, and other vehicles **Location:** Key Bank Tower **Work City:** Salt Lake City **Work State:** Utah **Scheduled Weekly Hours:** 40 The hourly range for this position is listed below. Actual hourly rate dependent upon experience. $45.55 - $71.73 We care about your well-being - mind, body, and spirit - which is why we provide our caregivers a generous benefits package that covers a wide range of programs to foster a sustainable culture of wellness that encompasses living healthy, happy, secure, connected, and engaged. Learn more about our comprehensive benefits package here (***************************************************** . Intermountain Health is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. At Intermountain Health, we use the artificial intelligence ("AI") platform, HiredScore to improve your job application experience. HiredScore helps match your skills and experiences to the best jobs for you. While HiredScore assists in reviewing applications, all final decisions are made by Intermountain personnel to ensure fairness. We protect your privacy and follow strict data protection rules. Your information is safe and used only for recruitment. Thank you for considering a career with us and experiencing our AI-enhanced recruitment process. All positions subject to close without notice.

At Scale AI, we are accelerating the development of artificial intelligence by providing the essential, data-centric infrastructure for building and deploying advanced AI systems. We are looking for a Forward Deployed Data Scientist/Engineer to architect and build the sophisticated data solutions that solve our customers' most complex challenges. This role is for a first-principles thinker who thrives on ambiguity, enjoys solving novel customer problems, and has a passion for applying rigorous data science to deliver measurable business impact. You'll work on a mix of cutting-edge, customer-facing AI implementations. Our team powers projects like TIME's Person of the Year AI experience, where our technology helped shape one of the most iconic features in media. Leveraging Scale's powerful data infrastructure, you will build bespoke evaluation frameworks, deploy custom statistical models, and architect data pipelines. Your work will play a crucial role in shaping how AI delivers measurable value in real-world applications for industry-leading companies. You'll be exposed to the cutting edge of the Generative AI industry while directly interfacing with leading enterprise organizations, including top industry leaders in telecommunications, e-commerce, finance, education, publication, insurance, and health. Responsibilities: Drive Impact: Directly contribute to the advancement of AI by delivering critical data science infrastructure and insights for leading AI innovators and enterprise customers. Customer Collaboration: Interact daily with our technical customers, deeply understanding their unique challenges and translating ambiguous business problems into concrete data-driven solutions and robust statistical models. End-to-End Data Solution Development: Design, build, and deploy solutions across the entire data lifecycle-from data ingestion and pipeline construction to statistical modeling, experimentation, model evaluation, and insight generation. Rapid Experimentation: Design and deliver high-quality experiments (e.g., A/B tests, marketplace modeling), iterating quickly to validate hypotheses, meet customer needs, and drive innovation. Strategic Influence: Act as the voice of the customer to our internal Product, Engineering, and Data Science teams, channeling real-world insights to influence our product roadmap and technical strategy. Diverse Projects: Engage in a dynamic mix of designing and deploying cutting-edge data solutions, from building LLM evaluation frameworks to adapting statistical models for novel economic and business problems. Leadership Growth: This role offers a unique opportunity to lead critical customer-facing projects, shape our data culture, and accelerate your career growth. You'll be positioned to become a future leader in a company defining the next era of technology. Requirements: 5+ years of relevant industry experience in a highly analytical role (e.g., Data Science, ML Engineering, Quantitative Analysis). Proven track record of shipping high-quality data products, models, or features at scale. Strong problem-solving skills and the ability to turn abstract business and product ideas into concrete data science and engineering solutions. Expert-level coding abilities in Python for data science (e.g., Pandas, NumPy, Scikit-learn) and mastery of complex SQL across large datasets. Ability to effectively communicate complex technical concepts to both technical and non-technical audiences. Desire to thrive in a fast-paced, dynamic environment and adapt quickly to the ever-changing world of Generative AI. Excited to join a dynamic, hybrid team in either San Francisco or New York City. Preferred Qualifications: Experience in a client-facing or consultative role (e.g., Forward Deployed Engineer, Solutions Architect, Data Science Consultant). Deep expertise in designing metrics, diagnosing data inconsistencies, and building evaluation frameworks for ML/LLM systems. Experience with large-scale data processing frameworks and distributed systems (e.g., Spark, Ray). Familiarity with marketplace experimentation, causal inference, and advanced statistical modeling. Experience with cloud-based infrastructure and data warehousing (e.g., AWS, GCP, Snowflake, BigQuery). Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$198,000-$247,500 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

About Us: EvolutionIQ's mission is to deliver state of the art technology that helps insurance claims teams make claims handling more accurate, fair, and efficient, so that more people impacted by injury or illness can continue their lives with dignity and stability. We are currently experiencing massive growth and to accomplish our goals, we are hiring world-class talent who want to help build and scale internally, and transform the insurance space. Our team is our #1 priority, and we have been named one of Inc.'s Best Workplaces 3 years in a row and Built In's Best Places to work in 2025 and 2026! About the Role & You: As a Senior Data Scientist on the Medhub team, you will be the primary architect of our LLM evaluation framework. Think of this role as the "Evaluation Expert" and will define the rigorous statistical standards they must meet before they ever touch production. You believe that LLMs should be held to the same (or higher) scientific standards as traditional supervised models. You enjoy the challenge of turning subjective outputs (like chat and summarization) into objective, measurable data. You are a "Data Scientist's Data Scientist"-someone who leans heavily into statistical significance, inter-rater reliability, and robust experimental design to ensure our AI products are safe, accurate, and reliable. What You'll Achieve (Performance Outcomes): In this Role You Will: Establish the Gold Standard: Design and implement comprehensive scorecards and benchmarking suites for LLM-based extraction, summarization, and chat interfaces. Bridge the Gap with SMEs: Act as the technical lead in working with Subject Matter Experts (SMEs) to codify their expertise into evaluation datasets and "ground truth" labels. Scale Labeling: Design the statistical guardrails to scale both our human and automated labeling efforts; you will optimize the human labeling process for efficiency and agreement while ensuring LLM-generated labels maintain the highest integrity for our training data. Quantify Risk: Provide clear, data-driven "Go/No-Go" recommendations for model deployment based on rigorous error analysis and statistical confidence intervals. About You (Key Competencies): 5+ years of experience in Data Science with a strong background in traditional statistics (hypothesis testing, experimental design, regression analysis). 2+ years of focused experience working with LLMs, specifically in evaluation, benchmarking, and prompt auditing. Master's or PhD in Statistics, Mathematics, or a related quantitative field. You should be comfortable explaining the nuances of different evaluation metrics (e.g., G-Eval, ROUGE, or custom-weighted scorecards). A Quality Mindset. You are naturally skeptical of anecdotal evidence ("it looks good") and insist on statistical proof. Proven ability to work with non-technical SMEs to translate their qualitative feedback into quantitative metrics. Proficient in Python (Pandas, Scikit-learn, Statsmodels) and SQL. Familiarity with LLM evaluation frameworks (e.g., RAGAS, LangSmith, or proprietary scorecard systems) is a major plus. Even Better if You Have: Deep knowledge of metrics like Cohen's Kappa or Fleiss' Kappa to quantify agreement between SMEs and evaluate the clarity of labeling instructions. Experience in Active Learning Experience with platforms like Labelbox, Snorkel, or Prodigy to manage the flow between human annotators and automated systems. Work-life, Culture & Perks: Compensation: The base salary range is $200-240K, with flexibility depending on a candidate's background and experience. An annual bonus plan and company equity plan (RSUs) are also included in our compensation package. Well-Being: Medical, dental, vision, short & long-term disability, life insurance and AD&D, and 401k matching. Additional family, wellness, and pet benefits. Home & Family: Paid time off and sick leave, 100% paid parental leave (16 weeks for primary caregivers and 12 weeks for secondary caregivers). We offer a flexible schedule for new parents returning to work. Office Life: Catered lunches, happy hours, pet-friendly spaces, and monthly technology stipend. Growth & Training: $1,000/year for each employee for professional development, as well opportunities for tuition reimbursement. Sponsorship: We are open to sponsoring candidates currently in the U.S. who need to transfer their active visa. Please check with our Recruiting team if your visa is applicable for transfer. EvolutionIQ appreciates your interest in our company as a place of employment. EvolutionIQ is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

About the Role: Grade Level (for internal use): 10 Sr Data Scientist- NLP, LLM and GenAI S&P is a leader in risk management solutions leveraging automation and AI/ML. This role is a unique opportunity for hands-on ML scientists and NLP/Gen AI/ LLM scientists to grow into the next step in their career journey and apply her or his technical expertise in NLP, deep learning, GenAI, and LLMs to drive business value for multiple stakeholders while conducting cutting-edge applied research around LLMs, Gen AI, and related areas. Responsibilities: ML, Gen AI, NLP, LLM Model Development: Design and develop custom ML, Gen AI, NLP, LLM Models for batch and stream processing-based AI ML pipelines. Model components will include data ingestion, preprocessing, search and retrieval, Retrieval Augmented Generation (RAG), NLP/LLM model development, fine-tuning and prompt engineering and ensure the solution meets all technical and business requirements. Work closely with other members of data science, MlOps, technology teams in the design, development, and implementation of the ML model solutions. ML, NLP, LLM Model Evaluation: Work closely with the other data science team members to develop, validate, and maintain robust evaluation solutions and tools to evaluate model performance, accuracy, consistency, reliability, during development, UAT. Implement model optimizations to improve system efficiency. NLP, LLM, Gen AI Model Deployment: Work closely with the MLOps team for the deployment of machine learning models into production environments, ensuring reliability and scalability. Internal Collaboration: Collaborate closely with product teams, business stakeholders, Mlops, machine learning engineers, and software engineers to ensure smooth integration of machine learning models into production systems. Documentation: Write and Maintain comprehensive documentation of ML modeling processes and procedures for reference and knowledge sharing. Develop Models Based on Standards and Best Practices: Ensure that the models are designed and developed while adhering to specified standards, governance and best practices in ML model development as specified by senior Data Science and MLOps leads. Assist in Problem Solving: Troubleshoot complex issues related to machine learning model development and data pipelines and develop innovative solutions. Compensation/Benefits Information (US Applicants Only): S&P Global states that the anticipated base salary range for this position is $130,000 - $170,000. Final base salary for this role will be based on the individual's geographical location as well as experience and qualifications for the role. In addition to base compensation, this role is eligible for an annual incentive plan. This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here . What We're Looking For: Bachelor's / Master's in Computer Science, Mathematics or Statistics, Computational linguistics, Engineering, or a related field. 1+ years of professional hands-on experience leveraging large sets of structured and unstructured data to develop data-driven tactical and strategic analytics and insights using ML, NLP, computer vision solutions. Demonstrated 1+ years hands-on experience with Python, Hugging Face, TensorFlow, Keras, PyTorch, or similar statistical tools. Expert in python programming. 1+ years hands-on experience developing natural language processing (NLP) models, ideally with transformer architectures. 1+ years of experience with implementing information search and retrieval at scale, using a range of solutions ranging from keyword search to semantic search using embeddings. Knowledge of developing or tuning Large Language Models (LLM) and Generative AI (GAI) Knowledge of NLP, LLMs (extractive and generative), fine-tuning and LLM model development. Familiar with higher level trends in LLMs and open-source platforms Nice to have: Experience with contributing to Github and open source initiatives or in research projects and/or participation in Kaggle competitions. About S&P Global Ratings At S&P Global Ratings, our analyst-driven credit ratings, research, and sustainable finance opinions provide critical insights that are essential to translating complexity into clarity so market participants can uncover opportunities and make decisions with conviction. By bringing transparency to the market through high-quality independent opinions on creditworthiness, we enable growth across a wide variety of organizations, including businesses, governments, and institutions. S&P Global Ratings is a division of S&P Global (NYSE: SPGI). S&P Global is the world's foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world's leading organizations navigate the economic landscape so they can plan for tomorrow, today. For more information, visit ************************ What's In It For You? Our Mission: Advancing Essential Intelligence. Our People: We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference. For more information on benefits by country visit: ***************************************** Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. S&P Global has a Securities Disclosure and Trading Policy (“the Policy”) that seeks to mitigate conflicts of interest by monitoring and placing restrictions on personal securities holding and trading. The Policy is designed to promote compliance with global regulations. In some Divisions, pursuant to the Policy's requirements, candidates at S&P Global may be asked to disclose securities holdings. Some roles may include a trading prohibition and remediation of positions when there is an effective or potential conflict of interest. Employment at S&P Global is contingent upon compliance with the Policy. Recruitment Fraud Alert: If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to ************************. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: *************************** and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster **************************************************************** describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - ******************************************************************************************** ----------------------------------------------------------- 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.1 - Middle Professional Tier I (EEO Job Group), SWP Priority - Ratings - (Strategic Workforce Planning)

WE HAVE CREATED A WORLD WHERE ART AND SCIENCE ARE BEST FRIENDS Known is a modern marketing company engineered for the unprecedented opportunities and challenges facing marketers today. We are about 200+ people strong, pairing PhD data scientists with award-winning creatives, strategists, engineers and expert research teams to produce some of the most innovative and cutting-edge creative work in culture. We believe that when creative truly collaborates with science, strategy, and technology, amazing things can happen. Ad Age touted that “Known may be the ultimate example of a full-service agency,” and honored us with two prestigious recognitions this year: #3 on The A-List as one of the top agencies in the world, and Ad Age's Data & Insights Agency of the year for the second year in a row. Without our incredible partnerships with our clients, spanning across the leading brands in finance, technology, entertainment, media, CPG, real estate, and many other categories, honors like this could not be possible, and also have helped us earn additional awards and recognitions over the years like: Emmys, Clios Entertainment and Sports Awards, Effies, Cannes Lions Awards, ProMax Agency of the Year, and Digiday's Most Innovative Media Agency to name a few. We couldn't create this award-winning work without seeking out and hiring the best talent. What does it mean to be a Knowner? We are curious innovators, knowledge-hunters who are constantly challenging ourselves to do better and be better for our clients, for our team and for our world at large. Our offices around the U.S. are open and while most of our people work in a hybrid setting, we are a distributed workforce with a number of Knowners working remotely. BUT ENOUGH ABOUT US, LET'S TALK ABOUT YOU About the role: Known's Skeptic team builds the tools that power Known's media buying practice and elevate the media campaigns of our clients. Our work ranges from predictive modeling / optimization to infrastructure development, and Skeptic's data scientists and engineers are challenged every day to push the limits of advanced advertising. We are seeking a Senior Data Scientist who can understand the core business objectives of our internal teams and our clients, and develop tools tailored to their use cases. Experience in media is a plus, but not required for the role. The initial project for this role will have a heavy forecasting component and leverage common techniques used for Media Mix Models. In this role more generally, you will work with, and guide, other data scientists on a variety of projects and interface with our other teams at Known. As a Senior Data Scientist, you will drive forward some of our most difficult data science projects. WHAT YOU'LL DO Developing new techniques (e.g., ML models, optimization algorithms, and automation) to improve Known IP and create tools for Known's clients Working with other data scientists and engineers to productionalize new tools Collaborating with data visualization experts to build dashboards around forecasts and other model outputs Managing the ingestion and cleaning of new datasets relevant to your work / projects Mentoring other data scientists on our team WHO YOU ARE AND WHAT YOU HAVE A Masters or PhD from a well-regarded college or university. STEM degrees are preferred. 5+ years (with Masters) or 3+ years (with PhD) of hands-on experience doing quantitative analysis, statistical modeling, optimization and/or statistics. Experience utilizing Python and SQL. Candidates with a Bachelors degree and 7+ years of experience may also be considered. 3+ years of experience building data science software Experience in ad-tech or media buying is highly desired, specifically with a track record of modeling data from 'Walled Garden' social ecosystems A strong grasp of Bayesian statistical methods is a plus. You should be comfortable applying probabilistic thinking to solve real-world optimization problems, beyond standard frequentist approaches. Skills, abilities, and knowledge Superb communication and presentation skills An ability to translate business challenges into quantitative problems, and solve them by whatever means necessary, which may not always be strict machine learning Proven ownership of projects taken to completion A commitment to managing the quality & accuracy of analytics, ensuring high standards with your and others' work Experience working on a tech team, with experience in cloud technologies, version control, etc. Experience in advertising or advertising technology is a plus Applied knowledge of Bayesian inference and probabilistic programming (experience with libraries like PyMC) is a plus Deep understanding of the data structures and optimization levers within social advertising platforms (e.g., bidding strategies, conversion windows, and attribution logic) is a plus Competencies Ability to prioritize time, work and effort while multitasking on multiple projects Desire to mentor and teach others Collaborative attitude Self motivated and exhibits initiative Willing & able to learn quickly Abundant intellectual curiosity and integrity SOME OF OUR PERKS Unlimited paid time off 401k with company matching and no vesting period Annual bonuses Generous medical plan Paid parental leave ONE LAST THING TO ASK YOURSELF All this might sound great, but you're probably still wondering, “Would I be a good fit for Known?” or “Would Known be a good fit for me?” Our culture is propped up by four values that we aspire to every day: We are one team. We see the good. We never stop learning. There's always a better way. At Known we are setting out to build something more than just a company. We are building a legacy filled with exceptionally talented people with a kaleidoscope of backgrounds, experiences, and origin stories who feel encouraged and empowered to bring their whole selves to work, and to partner with us in molding and shaping our culture through our values. Known is an equal opportunity employer and does not discriminate against employees or qualified job applicants on the basis of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or locally protected class. The base salary for this position is $130K - $150K. This range is posted in compliance with state and municipal Pay Transparency laws. In addition to base compensation, this role is eligible to receive additional Known benefits. #LI-RR1

Assured Guaranty is seeking an experienced PeopleSoft Functional Analyst focused on providing functional support and analysis for PeopleSoft Financials applications, specifically for the General Ledger, Accounts Payable, Asset Management and TR-Cash Management / Financial Gateway modules. The analyst will be responsible for troubleshooting, maintenance and support of Oracle PeopleSoft applications as well as designing, implementing and testing customizations, special projects and upgrades. This position requires strong analytical skills and the ability to communicate effectively with stakeholders. Key Responsibilities: Requirements Gathering and Documentation: Collaborates with stakeholders to understand business requirements and translate them into functional specifications. Identifies opportunities for process improvement and optimization within PeopleSoft applications. System Configuration and Optimization: Implements and enhances software, including configuration, testing, and issue remediation of PeopleSoft Financials application, including General Ledger, Accounts Payable Treasury-Cash Management and Asset Management modules. Knowledge Demonstrates in-depth knowledge of the installed PeopleSoft modules (GL, AP, AM, TR-CM) and system configuration. Possesses a deep understanding of the end-to-end processes from a functional perspective. Testing and Quality Assurance: Creates test scripts and plans with a focus on risk and end user requirements. Coordinates and executes testing and quality assurance activities of customizations, upgrades, and patches across multiple environments to ensure system stability. Problem Solving and Support: Provides functional consulting and support to users, troubleshooting issues and offering solutions to system problems. Provides guidance to and assists others in the administration and use of business applications. Implement, and administer software, tools, and procedures to monitor, alert, report on, and remediate issues within business applications Designs and develops nVision reports and SQL queries to facilitate reporting, application troubleshooting, and application enhancements. Works successfully with team members to execute complex initiatives Self-manages required tasks, with an awareness of efficiency and risk management. Possesses strong verbal, written and interpersonal communication with management Candidate Requirements Bachelor's degree in accounting or business preferred OR an equivalent combination of education and experience. Two to four years of accounting experience in general ledger and/ or accounts payable. At least five years of experience in PeopleSoft Financials Management with specific knowledge of GL, AP, AM and TR-CM modules. Expertise in troubleshooting and supporting Oracle PeopleSoft applications. Strong experience in writing Business Requirement, Fit Gap Analysis, and Functional Design documents. Proficient in PS Query, SQL and understanding of key transactional tables. Strong written and oral communication skills. Knowledge of PeopleSoft Security, PeopleTools, Application Designer, PeopleCode, PeopleSoft Test Framework (PTF) a plus Compensation Annual base salary for the position is expected to be from $115,000 per year to $135,000 per year. The actual salary will depend on various factors, including but not limited to a candidate's experience and credentials, salary expectations of applicable candidates, and other applicable market conditions. This position also provides applicable employee benefits, as well as eligibility for an annual discretionary bonus.