Remote Data Jobs

As a Sr. Technical Product Analyst, you will play a critical role in enabling the company to be data-driven through analyzing customer behavior, identifying performance trends, and driving continuous improvements to enhance digital experiences. You will be responsible for providing actionable insights through data analysis, identifying and resolving pain points, and optimizing user flows and technical product performance.

Lead a team of engineers focused on Dark Web data collection and analysis, fostering collaboration and continuous improvement. Coordinate the development of web harvesting and data processing pipelines, ensuring they meet organizational and client needs. Partner with the Product Manager to manage project timelines and deliverables, maintaining focus on both short-term objectives and long-term strategic goals. Collaborate with cross-functional teams to refine intelligence analytics and enhance product offerings.

As Principal Data Scientist you will serve as the technical leader for our Natural Language Processing research and development, bringing NLP features from product request to experiment to production code. You will bring experience with best practice and lead brainstorming, technical design, prioritization of experiments, and managing dependencies. You will keep abreast of the state of the art in LLMs while guiding the team’s research of novel techniques to solve issues unique to our application.

This role is pivotal in balancing strategic management with hands-on execution , ensuring that our data initiatives are not only well-planned but also effectively implemented. The Data & Analytics Manager will oversee the entire lifecycle of data products, from ideation and development to deployment and optimization. This position requires a unique blend of technical expertise, strategic thinking, critical analysis, and leadership skills to drive the successful execution of data-driven initiatives while also being actively involved in day-to-day operations.

The Talent Acquisition Analyst at CI&T is looking for a Mid level Data Developer (Databricks) to work on one of CI&T's projects. You need to have experience with Data Lake structure; AWS, Azure, GCP; Python; PySpark; SQL; Databricks; Code versioning in repositories and Agile Methodology. It will be a differential if you have experience with AWS: Glue, Lambda, DynamoDB, S3; Infrastructure as code (IaC); Delta Lake and Streaming.

As a Data Engineer, you will play a crucial part in architecting and implementing data solutions that drive business value and enable informed decisionmaking. As a key member of their team, you will collaborate closely with cross-functional teams to understand business requirements, design robust data pipelines, and leverage cutting-edge technologies such as Databricks, Python, and various AWS services.

Be part of a team that is committed to delivering best in class service to our customers as a Senior Data Operations Specialist. You will be the subject matter expert on audience data and segmentation logic powering large-scale, personalized communications. This role ensures seamless data flow and synchronization between Salesforce Data Cloud and Salesforce Marketing Cloud, enabling precise targeting and timely delivery across customer journeys.

Create production data pipelines for our advanced analytics and data science teams, as well as collaborate with other technical personnel on internal & external data sources and infrastructure needs. Assist in design, evaluate, and test data infrastructures and be a subject matter expert for all things data across the organization. Responsible for solving our most challenging data integration problems.

Drive insights and recommendations for complex projects both independently and in collaboration with cross-functional teams. Develop a deep understanding of how our products are being used and identify opportunities to better serve our members' needs. Prototype novel approaches to measuring or inferring product and business performance, developing dashboards with key visualizations for tracking product and business performance.

As an early member on the data team, you will build out our data foundation across product and marketing. You will design, develop, and optimize robust data models to facilitate seamless reporting, analysis, and experimentation for marketing, product, and finance teams. You will spearhead the creation of advanced marketing pipelines, ensuring data flows efficiently and accurately to support customer segmentation, campaign optimization, and ROI analysis.