Design, develop, and maintain data pipelines that ingest, transform, and load data from various sources into data lakes, data warehouses, and data marts using Python, Spark and other cloud services to serve analytics needs and machine learning model requirements. Contribute to the detailed design and architecture of the data platform ensuring consistency, efficiency and reusability of data components and processes.
We are looking for a technically skilled and data-savvy analyst with a passion for building scalable pipelines and uncovering insights from distributed data sources. This role blends data analysis with infrastructure expertise—ideal for someone comfortable working hands-on with cloud technologies, wrangling raw data into clean, reliable structures, and helping shape a robust Azure-based data ecosystem. This is a contract to hire role that can be remote but must provide occasional onsite support.
Initiate and drive applied science initiatives to completion with a focus on improving the acquisition, retention, and expansion of large professionals on the Thumbtack platform. Develop, deploy, and optimize machine learning models and algorithms for various supply shaping problems. Collaborate closely with engineering, product management, business development, and marketing teams to define problems, develop end-to-end solutions, and ensure successful implementation and monitoring of machine learning systems in production.
Lead and scale our high-impact Data Science team, working at the intersection of product, engineering, and business strategy to build intelligent systems that power our marketplace. As a leader, you’ll be responsible for advancing our data science maturity, driving innovation in core ML capabilities, and enabling trustworthy, scalable solutions that shape how millions of users transact safely and efficiently. Partner with product, engineering, and design leaders to influence the roadmap with data-driven insights and ML strategy.
The Lead Data Partner (with their team) is the proactive force turning data into decisive action: anticipating insight needs, surfacing growth opportunities, influencing and enabling our teams to think sharper, move faster, and deliver greater impact. At Voyage Privé, data is at the heart of the digital transformation we are embarking on in 2025. With hundreds of thousands of daily active users and a few thousand new products available each week, data plays a pivotal role in shaping our future.
We are growing our consulting team and looking for Senior AI (Artificial Intelligence) Consultants to join us on our exciting journey and be part of the Hitachi Solutions family. You will be accountable for providing hands-on technical knowledge, while managing client relationships within the project context. Accountable for analysing customer needs, identifying business problems, and translating them into technology solutions, ensuring the high quality of the solution.
We are seeking a highly motivated senior software engineer to lead large, strategic, and complex projects, developing scalable systems that enhance our product analytics capabilities. You will help design and architect solutions that can scale to meet our growing business needs. The ideal candidate loves to collaborate with others. We're a hardworking, energetic team that is passionate about our customers.
Collect, analyze and present data for product management and marketing decisions. Construct and visualize key product metrics and indicators. Design product/marketing features experiments, impact estimation (A/B testing). Diligently monitor user behavior and provide data insights. Conduct deep-dive analyses to uncover hidden product opportunities and propose product improvements based on data insights to drive key metrics.
Looking for a sharp, marketing-focused Data Analyst to help turn data into decisions. In this role, you’ll work cross-functionally with senior leadership, marketing, product, and operations to surface actionable insights that shape strategy and drive business impact. This position is contract-to-hire with potential to convert into a full-time role with benefits after 90 days.
The Data Analyst, Revenue will help Sierra Club’s revenue teams understand donation patterns, donors, and prospective donors to increase revenue. The data analyst will have ownership over building engaging self-service reports and dashboards. The analyst will work alongside fundraising and donor data management staff to foster a data-informed decision-making culture.