Role Description We’re hiring a Data Science Manager to lead analytics for the logistics pod and help shape high-priority product and business decisions. In this role, you will lead a team of data scientists, partner closely with Strategy & Operations, Product, Engineering, and business leaders, and turn ambiguous questions into clear recommendations that influence roadmap and plan outcomes. Success in this role means building a high-performing team, raising the quality and speed of decision-making, and ensuring analytics work is tightly connected to measurable business impact. You’re excited about this opportunity because you will… - Lead and develop a team of data scientists responsible for high-impact analytics, predictive modeling, and decision support tied to DoorDash’s most important product, business, and GTM priorities. - Partner closely with Strategy & Operations, Product, Engineering, and business leaders to shape decisions, influence roadmaps, and improve plan-critical metrics. - Define success metrics, build measurement frameworks and predictive models, and use experimentation and analysis to connect product and operational levers to business outcomes. - Build a high-performing pod that balances analytical rigor, strong prioritization, and clear storytelling in a fast-moving environment. - Scale reusable analytics frameworks, tools, models, and best practices that make the broader organization more effective over time. Qualifications - You have 6+ years of experience in analytics, data science, or a related quantitative field, including experience leading complex, ambiguous work from problem framing through recommendation. - You have experience managing and developing data scientists or analysts and know how to set a high bar on quality, ownership, and impact. - You have strong analytical fundamentals, including experimentation, predictive modeling, metric design, and translating data into actionable business decisions. - You are an excellent cross-functional partner and communicator who can influence stakeholders and tailor your message from working teams to senior leadership. - You are highly effective at prioritization and know how to focus your team on the highest-impact work in a fast-moving environment. Requirements - Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only: We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. - As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. - The Covey tool has been reviewed by an independent auditor. Benefits - Comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching. - 16 weeks of paid parental leave. - Wellness benefits and commuter benefits match. - Paid time off and paid sick leave in compliance with applicable laws. - Medical, dental, and vision benefits. - 11 paid holidays. - Disability and basic life insurance. - Family-forming assistance and a mental health program. Company Description At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods. DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.

• 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