Background The United Nations Development Programme (UNDP) is a UN agency that works in about 170 countries and territories, helping eradicate poverty, reduce inequalities and exclusion, and build resilience. It thereby helps them sustain progress and achieve Sustainable Development Goals. In Ukraine, UNDP operates with three programme priorities: Democratic Governance and Inclusive Social Fabric, Inclusive and Sustainable Economic Recovery and Growth, and Sustainable Environment and Energy Transformation. Since the start of the hostilities in 2014 and the full-scale invasion in 2022, UNDP in Ukraine has been present on the ground, through its hubs around the country, supporting regional and local authorities and civil society partners in their emergency response and crisis management efforts. Lessons from the past years informed the development of UNDP’s Country Programme Document (2025-2029) and the scale-up of the Area-Based Recovery (ABR) Framework. The Framework’s programmatic pillars of Reconstruction, Returns, Resilience, and Reforms are focused on ensuring community recovery and creating conditions for the return to a development pathway in Ukraine. The Procurement Analyst is responsible for effective delivery of procurement services, consistent with UNDP rules and regulations, to support implementation of ABR projects and programmatic goals. The incumbent will promote UNDP's mandate as a gender-responsive organization with zero tolerance to discriminatory and abusive behaviour, including sexual harassment, sexual exploitation and abuse. Duties and Responsibilities 1) Ensures implementation of operational strategies of the ABR through: - Full compliance of ABR procurement activities with UN/UNDP rules, regulations, policies and strategies; implementation of the effective internal control. 2) Contributes to the procurement processes for ABR projects through: - Faciliating the programme personnel in preparation of procurement plans for the portfolio and projects and their implementation monitoring. - Organization of procurement processes including preparation and conduct of RFQs, ITBs or RFPs, receipt of quotations, bids or proposals, their evaluation, negotiation of certain conditions of contracts in full compliance with UNDP rules and regulations. - Preparation of Purchase Orders and Contracts in and outside Quantum, preparation of Recurring Purchase orders for contracting of services, vendors’ creation in Quantum. - Preparation of submissions to the Contract, Asset and Procurement Committee (CAP), Regional Advisory Committee on Procurement (RACP) and Advisory Committee on Procurement (ACP). - Management of the internal control system which ensures that Purchase orders are duly prepared. Timely corrective actions on POs with errors and other problems. - Providing inputs to reports on procurement in the CO. - Serving as a secretary of the tender procurement processes of the ABR procurement activities including: prepare all procurement documents, distribute and present relevant documentation to the members of the committee; coordinate procurement evaluation committee meetings; prepare procurement evaluation committee reports as well as maintain records of all documentation and reports. - Review of Terms of Reference (TOR)/technical specifications/Statement of Work (SOW) according to UNDP regulations, required evaluation criteria and scoring and provide procurement related inputs before PU CO clearance. - Maintain and improve the contract management system and ensure that accountability to donors and internal stakeholders is met. - Implementation of e-tendering practices. - Playing leading role in analysis and administration of ABR procurement cases in the online Procurement Plan to ensure accuracy and completeness of the information represented at Sharepoint. - Review and clearance of documents related to Micro-purchase Canvass procedure. 3) Ensures implementation of sourcing strategy through: - Contribute to conducting market research for the procurement cases of the relevant ABR projects. 4) Ensures facilitation of knowledge building and knowledge sharing in the CO through: - Providing procurement related guidance to the ABR, in close cooperation with CO Procurement Unit . - Synthesis of lessons learnt and best practices in Procurement implemented in ABR procurement processes. - Sound contributtion to knowledge networks and communities of practice. 5) Promoting Gender Equality and a Safe, Inclusive Workplace - Demonstrate leadership and personal accountability in fostering an organizational culture of gender equality and zero tolerance for any form of sexual exploitation, abuse, or harassment. - Respect and promote diversity and inclusion by ensuring all team members, partners, and vendors are treated equally and fairly, regardless of gender, race, sexual orientation, ethnicity, ability, or other identity markers. - Model respectful professional behavior by identifying and addressing sexism, gender discrimination, and other forms of bias in internal and external interactions. - Ensure all personnel and partners are informed of, and adhere to, corporate policies on sexual harassment, sexual exploitation and abuse, and codes of conduct. - Support work-life balance and care responsibilities by recognizing the caregiving roles of both women and men, and encouraging the use of family-friendly policies, flexible work arrangements, and inclusive facilities. The incumbent performs other duties within their functional profile as deemed necessary for the efficient functioning of the Office and the Organization. 4. Institutional Arrangement Under the direct supervision of Procurement Specialist, the Procurement Analyst will be responsible for procurement issues. S/he will ensure administration, transparent and efficient provision of procurement services and processes for the ABR projects. Competencies Core Achieve Results: LEVEL 1: Plans and monitors own work, pays attention to details, delivers quality work by deadline Think Innovatively: LEVEL 1: Open to creative ideas/known risks, is pragmatic problem solver, makes improvements Learn Continuously: LEVEL 1: Open minded and curious, shares knowledge, learns from mistakes, asks for feedback Adapt with Agility: LEVEL 1: Adapts to change, constructively handles ambiguity/uncertainty, is flexible Act with Determination: LEVEL 1: Shows drive and motivation, able to deliver calmly in face of adversity, confident Engage and Partner: LEVEL 1: Demonstrates compassion/understanding towards others, forms positive relationships Enable Diversity and Inclusion: LEVEL 1: Appreciate/respect differences, aware of unconscious bias, confront discrimination Cross-Functional & Technical competencies Thematic Area Name Definition Procurement Contract management Knowledge of contract management concepts, principles and methods, and ability to apply this to strategic and/or practical situations Procurement Supplier/relationship management Knowledge of supplier management concepts, principles and methods, and ability to apply this to strategic and/or practical situations Business Direction & Strategy Entrepreneurial Thinking Identify and seize opportunities to service and add value to clients, create clarity around UNDP value proposition to beneficiaries and partners, develop clear service offers responding to client needs in line with UNDP’s organizational priorities and mandate. Business Direction & Strategy Effective Decision Making Take decisions in a timely and efficient manner in line with one's authority, area of expertise and resources and take into consideration potential wider implications Business Direction & Strategy Negotiation and Influence Reach a common understanding/agreement, persuade others, resolve points of difference through a dialogue, negotiate mutually acceptable solutions and create ‘win-win’ situations. Business Development Knowledge Generation Ability to research information and to turn it into useful knowledge, relevant for context, or responsive to a stated need. Ability to apply existing concepts to new situations, and to develop new concepts to generate workable solutions and new approaches. Knowledge of relevant concepts, conceptual models, and theories that can be useful in addressing new situations 2030 Agenda: People - Gender Gender Gender and Crisis Required Skills and Experience Thematic Area Name Definition Procurement Contract management Knowledge of contract management concepts, principles and methods, and ability to apply this to strategic and/or practical situations Procurement Supplier/relationship management Knowledge of supplier management concepts, principles and methods, and ability to apply this to strategic and/or practical situations Business Direction & Strategy Entrepreneurial Thinking Identify and seize opportunities to service and add value to clients, create clarity around UNDP value proposition to beneficiaries and partners, develop clear service offers responding to client needs in line with UNDP’s organizational priorities and mandate. Business Direction & Strategy Effective Decision Making Take decisions in a timely and efficient manner in line with one's authority, area of expertise and resources and take into consideration potential wider implications Business Direction & Strategy Negotiation and Influence Reach a common understanding/agreement, persuade others, resolve points of difference through a dialogue, negotiate mutually acceptable solutions and create ‘win-win’ situations. Business Development Knowledge Generation Ability to research information and to turn it into useful knowledge, relevant for context, or responsive to a stated need. Ability to apply existing concepts to new situations, and to develop new concepts to generate workable solutions and new approaches. Knowledge of relevant concepts, conceptual models, and theories that can be useful in addressing new situations 2030 Agenda: People - Gender Gender Gender and Crisis Equal opportunity As an equal opportunity employer, UNDP values diversity as an expression of the multiplicity of nations and cultures where we operate and, as such, we encourage qualified applicants from all backgrounds to apply for roles in the organization. Our employment decisions are based on merit and suitability for the role, without discrimination. UNDP is also committed to creating an inclusive workplace where all personnel are empowered to contribute to our mission, are valued, can thrive, and benefit from career opportunities that are open to all. Sexual harassment, exploitation, and abuse of authority UNDP does not tolerate harassment, sexual harassment, exploitation, discrimination and abuse of authority. All selected candidates, therefore, undergo relevant checks and are expected to adhere to the respective standards and principles. Right to select multiple candidates UNDP reserves the right to select one or more candidates from this vacancy announcement. We may also retain applications and consider candidates applying to this post for other similar positions with UNDP at the same grade level and with similar job description, experience and educational requirements. Scam alert UNDP does not charge a fee at any stage of its recruitment process. For further information, please see www.undp.org/scam-alert.

Marketing Data Scientist Department Marketing Employment Type Full Time Location Remote Workplace type Fully remote Compensation $150,000 - $165,000 / year Description At Thorne, we work to deliver high-quality, science-backed solutions to empower individuals to take a proactive approach to their well-being. Each day begins with a mission to help others discover and achieve their best health. We count on our team members to challenge and push the boundaries to make that happen. At Thorne, you'll be joining a team of more than 750 passionate individuals committed to our cause of providing superior health solutions at every age and life stage. The Marketing Data Scientist will lead modeling and analytics initiatives that improve how we understand, engage, and grow our customer base. This role will focus on building models that uncover insights about customer demographics, behaviors, and preferences to drive more effective marketing strategies. This role will partner closely with marketing, analytics, and product teams to identify opportunities where modeling can improve targeting, customer engagement, and marketing performance. This role will also own and refine the organization's Marketing Mix Model while developing new models that enhance customer segmentation, lifecycle marketing, and product insights. The ideal candidate combines strong statistical and machine learning expertise with the ability to translate analytical findings into clear strategic recommendations for business stakeholders. RESPONSIBILITIES Marketing Mix Modeling & Channel Measurement - Own and refine the organization's Marketing Mix Model (MMM), evaluating current methodology and improving model accuracy and interpretability. - Translate model outputs into actionable insights that inform marketing investment decisions and channel strategy. - Partner with marketing stakeholders to ensure model outputs are effectively incorporated into planning and performance evaluation. Customer Segmentation & Behavioral Modeling - Develop advanced customer segmentation models that leverage demographic, behavioral, and transactional data to improve targeted marketing strategies. - Build models that identify meaningful customer cohorts, lifecycle stages, and engagement patterns. - Support marketing teams in operationalizing segmentation frameworks that drive personalized marketing and audience targeting. Marketing Engagement & Journey Modeling - Analyze customer interaction patterns to identify optimal marketing engagement strategies across the customer lifecycle. - Develop models that inform more effective marketing journeys, channel sequencing, and customer touchpoints. - Partner with marketing and data teams to enable activation of model outputs through marketing platforms and customer data infrastructure. Customer Insights & Sentiment Modeling - Build models that help identify emerging customer needs, sentiment trends, and product opportunities. - Analyze customer feedback, engagement behavior, and other signals to uncover insights that inform marketing strategy and product development. - Provide recommendations on how insights from customer behavior and sentiment can guide new product or feature opportunities. Model Development & Innovation - Identify new opportunities where statistical or machine learning models can improve marketing effectiveness and customer understanding. - Design and build models using modern data science tools and methodologies. - Continuously evaluate emerging techniques and determine their applicability to marketing and customer analytics. Stakeholder Partnership - Partner with marketing channel owners and product teams to identify analytical opportunities that support marketing strategy and customer growth. - Present modeling insights and recommendations to marketing leadership and cross-functional stakeholders. - Help build a data-driven culture within marketing by translating complex analyses into actionable business insights. Vendor & Cross-Functional Collaboration - Collaborate with external partners and vendors that support modeling, machine learning engineering, or advanced analytics initiatives. - Partner with internal analytics, engineering, and data platform teams to ensure models can be integrated into data infrastructure and marketing activation workflows. WHAT YOU NEED Required Competencies: - Bachelor's degree in a quantitative field such as Statistics, Data Science, Mathematics, Economics, Computer Science, Engineering, or a related discipline. - 4+ years of experience in data science, marketing science, econometrics, or a related quantitative field. - Strong experience building statistical or machine learning models using Python or R. - Experience developing customer segmentation, clustering, or behavioral models. - Strong foundation in statistical techniques such as regression, clustering, classification, and causal analysis. - Strong SQL skills and experience working with large datasets in cloud data environments. - Ability to communicate complex analytical findings clearly to non-technical stakeholders. Preferred Competencies/Experience: - Master's or PhD in Statistics, Data Science, Economics, Applied Mathematics, Computer Science, or a related quantitative field. - Experience working with marketing or customer analytics data. - Experience building models that support audience targeting, lifecycle marketing, or personalization. - Familiarity with marketing technology platforms, customer data platforms (CDPs), or marketing activation tools. - Experience collaborating with external modeling or data science vendors. - Experience operationalizing models in production or working alongside ML engineering teams. WHAT WE OFFER - Competitive compensation - 100% company-paid medical, dental, and vision insurance coverage for employees - Company-paid short- and long-term disability insurance - Company- paid life insurance - 401k plan with employer matching contributions up to 4% - Gym membership reimbursement - Monthly allowance of Thorne supplements - Paid time off, volunteer time off and holiday leave - Training, professional development, and career growth opportunities

Leverage machine learning and statistical modeling to develop predictive models and AI solutions, while collaborating with stakeholders to communicate findings and ensure reproducibility in healthcare data analysis.

Title: Data Science Analyst Location: Brentwood United States Job Description: Premise Health is Different on Purpose Premise Health serves large organizations and their people with exceptional healthcare. The result? Better experiences, better health, and better value, all while helping organizations lower their healthcare costs. Premise's mission is to help people get, stay, and be well. Come join us and see for yourself why amazing health starts with amazing healthcare. For more information, visit www.jobs.premisehealth.com. The Data Scientist leverages machine learning, statistical modeling, and modern AI techniques to solve healthcare business problems. You will develop predictive models, build AI-powered solutions, and deliver insights to both technical and non-technical stakeholders. This is a Full Time, remote, Data Science Analyst role. What You'll Do - Analysis, Model Development & AI Solutions: - Perform exploratory data analysis to identify patterns and opportunities in healthcare data - Develop predictive models and machine learning solutions under guidance of senior team members - Document model methodology, assumptions, and results to ensure reproducibility - Design text analytics and classification pipelines using LLMs and NLP techniques - Build generative AI solutions including prompt engineering pipelines and LLM-based classification - Develop and evaluate AI agent workflows for business process automation - Work with LLM APIs and model serving endpoints to integrate AI into analytical solutions - Collaboration & Communication: - Partner with senior data scientists and stakeholders to align on project goals - Communicate findings and methodologies clearly to technical and non-technical audiences - Demonstrate a willingness to learn by incorporating feedback effectively - Technical Execution: - Work with common healthcare data including claims, EHR, and laboratory datasets - Write clean, well-structured, and documented code in Python, PySpark, SQL - Use Git for version control and follow structured development practices What You'll Bring - Bachelor's or Master's degree in Business Analytics, Data Science, Computer Science, Statistics, or a related STEM field; or completion of an accredited data science or applied AI program - 3+ years of experience in data science, AI/ML or advanced analytics - Coursework or projects in applied machine learning and neural networks - Coursework or projects involving generative or agentic AI, LLMs, or NLP - Experience with Python, SQL, and common ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow, Hugging Face, etc.) - Healthcare data experience preferred - Familiarity with deploying ML/predictive models to production environments - Understanding of statistical methods, AI/ML algorithms, neural networks, and deep learning concepts - Familiarity with generative AI concepts: prompt engineering, LLM APIs, and retrieval-augmented generation (RAG) - Exposure to agentic AI concepts and frameworks (e.g., LangChain, LangGraph, etc.) - Familiarity with Python, SQL, and Git (version control) - Experience with the following is a plus: - Cloud: Azure, Databricks - Version Control: GitLab - IDE: VS Code Work-life balance is at the foundation of how decisions are made and where Premise is headed. We can only help people get, stay, and be well if we do the same for ourselves. In addition to competitive pay, Premise offers full-time team members benefits including medical, dental, vision, life and disability insurance, a 401(k) program with company match, paid holidays and vacation time, a company-sponsored wellness program, EAP, access to virtual primary care and virtual behavioral health at no cost for team members and their dependents. Premise is an equal opportunity employer; we value inclusion and do not discriminate based on race, color, religion, creed, national origin or ancestry, ethnicity, sex (including pregnancy and related conditions), gender identity or expression, sexual orientation, age, physical or mental disability, genetic information, past, current or prospective service in the uniformed services, or any other characteristic protected under applicable federal, state, or local law. Premise provides its reasonable and genuinely expected range of compensation for this job of $75,000.00 - $87,000.00 annually. A number of factors will influence the rate offered for this position, including your experience, qualifications, geographic location, and other factors. For individuals living in Washington or Colorado: Premise offers the following paid time off benefits. Employees will earn 0.0692 hours of paid time off per actual hours worked or based on standard schedule, per pay period, and will receive 10 paid holidays or an equivalent bank of hours aligned to schedule throughout the calendar year. Paid sick leave is satisfied by the paid time off accrual, detailed above.