• Lead and Develop: Build, lead, and mentor a high-performing team of data scientists focused on the Marketing & Business Development domain. • Drive Strategy: Serve as a thought-partner to cross-functional leaders (Product, Engineering, Design, and Marketing), communicating and shaping the roadmap and strategy for Reddit by identifying actionable and impactful insights. • Deliver Causal Insights: Lead initiatives to quantify the true incremental lift of marketing spend and prevent budget allocation on non-incremental channels, including developing and deploying Incremental/Predictive LTV models. • Standardize Measurement: Oversee the establishment of measurement frameworks (incl. effective experimental designs and/or Causal inference methods) to evaluate Brand Initiatives and ensure consistent metrics are aligned across the organization for campaign quality and ROI. • Drive Adoption: Drive the adoption of strategic and tactical recommendations based on deep product experience and data understanding to maximize our value to consumers. • Ensure Data Quality: Take a keen interest in the collection and quality of underlying data, including overseeing work on ETLs, reporting dashboards, and data aggregations needed for business tracking and/or ML model development. • Enable Self-Service: Lead initiatives to enable analytics self-serve capabilities for cross-functional teams.

About us: Luno is the crypto investment app you can rely on, enabling you to buy, store and explore crypto securely. We’re committed to putting the power of cryptocurrency in everyone's hands sensibly and responsibly. Since 2013, we’ve helped millions of people around the world invest safely in crypto. We do this by cutting through the hype and supporting customers at every step of the way. All products and cryptocurrencies on our platform must first meet stringent legal, risk and technical security standards. Transparency is key for us. Luno stores all crypto on a 1:1 basis and we have rigorous processes in place so you can be confident your investment is secure. We’re available in more than 40 countries around the world and we work closely with respective regulators in all of these markets to be fully compliant, as we believe this is the best way to help everyone, everywhere, invest safely. About the team: The Data community at Luno, comprising Data Engineers, Scientists, and Analysts, uncovers valuable insights from the vast amounts of data we gather from our customers and platform. These insights are crucial for guiding our product development and business strategy. As a Senior Data Scientist joining Luno, you would be part of the Data Science team providing high quality insights and data tools to teams across the company. Our current technology stack includes Databricks and Looker. The role in a nutshell: As we accelerate on our mission to upgrade the world to a better financial system, we will need to understand how customers are using our product and what drives customers to engage in our platforms. You’ll be focussed on this critical step of creating better information from multiple data sources to guide our decision making and help us build better products and improve our processes. Your mission will be: - Design and build pricing models and evaluation frameworks to guide and optimise pricing strategies - Develop causal models using experiments and observational data to isolate and measure the impact of fee changes - Initiate, design, and maintain high-quality data pipelines and models with strong attention to detail - Synthesise findings into clear, actionable recommendations and communicate them effectively to senior leadership A little about you: - You are passionate about data science and related disciplines - You have experience being a technical lead or mentor to other Data Scientists - You can leverage data analytics to innovate and create out-of-the-box solutions - You are intellectually curious and have the persistence to find answers to difficult questions - You can diagnose problems using formal problem-solving tools and techniques - You communicate technical concepts to non-experts in simple and helpful terms - You are a team player, enthusiastic about growing and developing others - You can handle uncertain and ambiguous scenarios - You keep abreast of developments and emerging trends in Data Science, and influence what is next for Luno The ideal Lunaut will have: - Bachelor's degree or higher in the natural sciences or technical fields such as Mathematics, Statistics, Computer Science, Engineering or Economics - Exploratory data analysis, predictive analytics, and/or optimisation skills using Python or other data science-oriented platforms - Advanced SQL skills - 5 years + experience in pricing experimentation, data analysis and statistical modelling - Excellent communication and presentation skills with the ability to explain complex data and analysis to non-technical stakeholders - Ability to work independently, as well as within and across teams - Ability to successfully complete projects with large and/or incomplete data sets - Enthusiasm to work in the crypto industry What will really get you noticed: - 5 years' + experience working in a similar role - Proven track record of analysing customer behaviour and translating insights into revenue growth - Experience working with business intelligence platform such as Tableau, Cognos, QlikView, or Looker - Solid knowledge of statistical and machine learning techniques - Experience with productionisng ML applications using a formalised ML Operations architecture - Experience or interest working in crypto or fintech industries Life at Luno: - Remote but reachable work policy gives you the freedom to choose between working from home or the office. - Enjoy an Annual Inspiration Day in addition to your annual leave, which increases with your length of service, plus the option to buy or sell up to five days of leave. - Improve body and mind, with excellent private medical insurance - Access to Learnably and our additional learning platforms for your personal and professional development - A collaborative, friendly work community, with regular social events and classes hosted by our Lunauts - 6 months primary care-giver leave - Paw-ternity leave for your furry friend - Free lunch and snacks - 0 fees up to a certain amount with Luno from the day you start.* *Offer only available on Luno Instant Buy, not Luno Exchange We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary The Senior Data Scientist will support pharmacist and technician staffing analytics by owning analytical workflows, driving ongoing metric updates, and delivering ad‑hoc insights tied to a widely used composite staffing metric. This role is part of a data science team focused on enabling workforce planning decisions through rigorous analytics, forecasting, and performance measurement. The Senior Data Scientist will be responsible for maintaining and enhancing analytical logic behind staffing metrics, ensuring data quality and consistency, and responding to evolving business questions through ad‑hoc analysis. The role will also support forecasting efforts that inform staffing plans, labor optimization, and operational readiness. This position partners closely with TA, operations, workforce planning, and finance stakeholders to ensure outputs are actionable, trusted, and aligned with business needs. Required Qualifications - 3+ years of professional experience in a data science role (time series modeling required) - Experience supporting staffing, labor, workforce, or operational analytics in a business environment - Proficiency in Python for data analysis, metric development, and automation - Strong experience querying and manipulating large datasets using SQL - Hands‑on experience maintaining, enhancing, or operationalizing business‑critical metrics or analytical products - Experience performing ad‑hoc analysis to support operational or leadership decision‑making - Experience collaborating with cross‑functional partners to deliver analytical insights Preferred Qualifications - Strong analytical and problem‑solving skills, with the ability to translate operational challenges into data‑driven insights - Ability to clearly communicate analytical results, assumptions, and limitations to non‑technical stakeholders - Experience with staffing models, labor forecasting, capacity planning, or workforce optimization - Familiarity with forecasting techniques applied to operational or labor drivers - Experience contributing to documentation, metric definitions, or standardized analytical processes - Comfort operating in fast‑moving environments with evolving priorities and frequent stakeholder requests Education Bachelor’s degree or equivalent work experience in Mathematics, Statistics, Computer Science, Analytics, Engineering, or a related discipline. Master’s degree preferred. Anticipated Weekly Hours 40 Time Type Full time Pay Range The typical pay range for this role is: $92,700.00 - $185,400.00 This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong. Great benefits for great people We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families. This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility. Additional details about available benefits are provided during the application process and on Benefits Moments. We anticipate the application window for this opening will close on: 05/24/2026 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. We are seeking an experienced Lead Data Scientist to drive advanced analytics initiatives focused on improving forecasting model accuracy and developing Generative AI solutions for explainability. This role requires a strong blend of machine learning expertise, forecasting experience, deep learning knowledge, and hands-on healthcare domain understanding. Key Responsibilities - Lead the design, development, and enhancement of forecasting models to improve prediction accuracy and business outcomes. - Build and deploy advanced Deep Learning models for large-scale structured and unstructured datasets. - Develop Generative AI / Explainable AI solutions to provide transparent and interpretable insights from predictive models. - Analyze healthcare datasets including claims, patient, provider, operational, or clinical data. - Collaborate with business stakeholders, product teams, and engineering teams to translate business challenges into scalable AI solutions. - Monitor model performance, retrain models, and optimize algorithms for production environments. - Mentor junior data scientists and provide technical leadership across the project. - Ensure compliance with healthcare data privacy and governance standards.