• Define and execute JOOR’s analytics strategy, aligning it directly with company goals, product roadmaps, and revenue targets. • Mentor, and lead the analytics and data engineering team. • Collaborate with Product and Engineering to integrate analytical models and insights directly into the JOOR platform. • Oversee the development of executive dashboards, KPI tracking, and automated reporting systems to give stakeholders clear visibility into business health (GMV, user engagement, retention). • Champion data integrity. Lead the team to define a scalable data architecture, accurate pipelines, and stringent data governance protocols. • Translate complex data findings into clear, strategic recommendations for non-technical stakeholders.

Associate Data Scientist Location: Philippines (remote based) Hours: 3pm to 12am PHT Department: Group Reports to: Senior Data Scientist About Branding Science Group Branding Science Group is a global healthcare insights consultancy, helping life sciences organisations make better decisions through data, analytics and strategic insight. As part of our continued investment in data science and AI, we’re looking for an Associate Data Scientist to join our Group team and help drive meaningful, data‑led change across the business. The Role This is a global role with exposure across markets and functions. As an Associate Data Scientist, you’ll support the development and delivery of data science initiatives that improve efficiency, enable smarter decision‑making, and strengthen our client offer. Working closely with senior team members, you’ll help build tools, automate processes, contribute to client analytics, and play an active role in promoting our data science and AI capabilities both internally and externally. What You’ll Be Doing - Supporting data initiatives that drive key business and client outcomes - Contributing to the execution of our Group data strategy - Building, maintaining and improving internal data science tools, pipelines and AI‑powered applications - Performing quantitative data analysis for client projects - Identifying and implementing automation opportunities across the business - Supporting the rollout and adoption of new tools across teams - Contributing to thought leadership, including LinkedIn posts, conference abstracts and presentations - Helping improve data literacy and upskill colleagues across the organisation - Providing regular updates and reporting to your line manager What We’re Looking For - A Bachelor’s, Master’s or PhD in Mathematics, Statistics, Data Science or a related numerate discipline - A strong interest in using data science to drive real business impact - Experience designing, building and communicating technical or machine learning solutions (industry or academic experience welcomed) - Solid understanding of statistical concepts such as hypothesis testing, p‑values and regression - Confidence writing clean, maintainable code in Python or R - A willingness to learn and develop new technical skills and technologies - Strong communication skills, with the ability to explain complex topics to non‑technical audiences - Excellent organisation and time‑management skills - Strong analytical thinking, problem‑solving ability and personal integrity Nice to Have - Experience building modern data pipelines, including API integrations - Exposure to deploying internal, web‑based data tools - Experience using Git or other version control systems - Exposure to AI or LLM‑based applications (e.g. OpenAI or Anthropic APIs) - Experience working with SQL databases Why Join Us? - Be part of a growing, global data science function - Work on meaningful projects with real business impact - Gain exposure across healthcare, analytics, AI and consulting - Collaborate with smart, supportive colleagues across multiple countries - Opportunities to learn, grow and shape your career in data science - Remote flexibility: Work from the comfort of your own home, with hours from 3pm to 12am PST.

• Collecting data and using a wide range of data science techniques • Creating, developing, and maintaining a range of AML typologies • Collaborating with cross-functional teams • Overseeing the successful execution of multiple projects

Thumbtack helps millions of people confidently care for their homes. Thumbtack is the one app you need to take care of and improve your home — from personalized guidance to AI tools and a best-in-class hiring experience. Every day in every county of the U.S., people turn to Thumbtack to complete urgent repairs, seasonal maintenance and bigger improvements. We help homeowners know which projects to do, when to do them and who to hire from our growing community of 300,000 local service businesses. If making an impact inspires you, join us. Imagine what we’ll build together. About the Data Science Team The Data Science team empowers Thumbtack to use data to guide business decisions. We collaborate with partners across the company to solve the most analytically challenging problems -- everything from informing how we set prices across almost a thousand local services categories, to evaluating the impact of a new business model on company performance, to identifying early predictors of high-quality customers. We are a tight-knit, intellectually curious team that is committed to improving Thumbtack and improving each other. About the Role At Thumbtack, Data Scientists are trusted to combine rigorous thinking, technical expertise, and business context to accelerate smarter decisions and better products. Our Marketing Data Science team powers a data-driven growth engine—blending advanced analytics, innovative technology, and creative problem-solving to bring users to Thumbtack and keep them engaged. As a Senior Paid Marketing Data Scientist, you will set the bar for technical innovation and strategic impact. Your mission will be to advance our channel measurement capabilities and to design scalable methodologies, frameworks, and tools that empower the Marketing and Data Science teams to operate with speed, rigor, and confidence. What you'll do - Lead the development and advancement of measurement methodologies that push the boundaries of what’s possible in evaluating marketing effectiveness - Explore innovative approaches grounded in data science and modern analytical methods - Drive the creation of frameworks, tools, and processes, and adoption of new methodologies that make measurement more systematic and scalable across a variety of channels. - Strengthen and evolve modeling approaches to deliver insights that are both robust and actionable. - Iterate on measurement approaches to marketing problems like channel incrementality, bolstering a robust approach to maximizing return on ad spend - Collaborate with cross-functional partners to connect measurement learnings with business strategy and growth. - Serve as a technical leader—mentoring others, elevating analytical standards, and shaping the long-term direction of measurement at Thumbtack. - Identify and pursue new opportunities where advanced analytics or fresh methodologies can unlock impact. In order to be successful, you must bring - 4+ years of experience in data science, analytics, or economics - Bachelor’s, Master’s, or Doctoral degree in a technical area such as: Statistics, Economics, Math, Computer Science, Engineering, advanced degree preferred - Proficient in causal inference methods, and familiar with statistical and machine learning concepts - Proficient in Python and SQL - Fluency in marketing and marketing measurement, experience with media mixed modeling preferred - Quantitative and structured problem solving - Ability to work in a fast moving business environment - Strong communication skills and ability to build strong relationships cross-functionally and with leadership and get buy-in on a data-driven perspective Expected salary ranges - For candidates living in Ontario and British Columbia, the expected salary range for the role is currently $193,800 - $250,800. Actual offered salaries will vary and will be based on various factors, such as calibrated job level, qualifications, skills, competencies, and proficiency for the role. Note: Thumbtack uses AI tools to support our resume screening process. However, our Recruiting team’s expertise and judgment guide hiring decisions. #LI-Remote Thumbtack embraces diversity. We are proud to be an equal opportunity workplace and do not discriminate on the basis of sex, race, color, age, pregnancy, sexual orientation, gender identity or expression, religion, national origin, ancestry, citizenship, marital status, military or veteran status, genetic information, disability status, or any other characteristic protected by federal, provincial, state, or local law. We also will consider for employment qualified applicants with arrest and conviction records, consistent with applicable law. Thumbtack is committed to working with and providing reasonable accommodation to individuals with disabilities. If you would like to request a reasonable accommodation for a medical condition or disability during any part of the application process, please contact: recruitingops@thumbtack.com. If you are a California resident, please review information regarding your rights under California privacy laws contained in Thumbtack’s Privacy policy available at https://www.thumbtack.com/privacy/. We put as much craftsmanship into candidate safety as we do into the hiring experience itself. While scammers may try to impersonate our team, we’ll never ask you for money, banking info, or SSNs during hiring. Check out our blueprint on how to spot the fakes.