• Setting up and deploying data processing pipelines, such as data reception (batch or real-time), data cleaning, information extraction, and calibration of fraud detection models. • Collaborating with clients to understand their needs and incorporating their feedback to enhance our solutions. • Conducting R&D to drive product innovation (machine learning, NLP, image analysis, trend analysis, chatbots, etc.). • Supporting the sales team by participating in prospect demos. • Partnering in an entire Data Science product lifecycle : Understand how sales, legal, product, engineering are connected together to deliver an AI product to clients.

Paired is a global recruiting agency that pairs remote work with top-tier talent. We help individuals from around the world connect with great companies that are looking for their specific skill set. Our mission is to provide great jobs to talented people, no matter where they are located. About Our Clients This position is ideal for someone who wants to grow from a senior analytics role into a broader data leadership position, working directly with executives while still remaining deeply connected to the analytics work that drives real business outcomes. Our client is a growing direct-to-consumer e-commerce brand focused on delivering high-quality products and exceptional customer experiences. As the business continues to scale, the team is looking for a Leaders in Data to help drive data-informed decision making across marketing, product, retention, finance, supply chain, and customer experience. This role goes beyond building dashboards or running reports. You will help establish the data foundations that guide company strategy; creating a single source of truth, defining the metrics that matter, and turning data into predictive insights that allow teams to operate proactively rather than reactively. This is a high-impact role for someone who wants to grow into a true data leadership position while remaining hands-on with analytics. Responsibilities - Growth & Marketing Analytics - Analyze CAC, LTV, conversion rates, retention, and campaign performance - Identify inefficiencies and recommend budget reallocation - Support marketing experiments (A/B testing, channel optimization) - Data & Reporting - Build and maintain dashboards (Power BI, Tableau, Looker, etc.) - Translate business questions into structured analysis - Automate recurring reporting and reduce manual work - Insights → Action - Move beyond reporting into clear recommendations - Highlight risks, opportunities, and performance drivers - Support leadership with weekly/monthly performance insights - Work with data to: - Clean and structure data - Align KPI definitions - Maintain a consistent reporting logic

Role Description We are looking for an Advanced Analytics Analyst to join our growing team. Operating across all stages of the innovation spectrum, with a remit to build the future in real-time. The working environment is open and interactive, facilitating collaboration with colleagues, clients, customers, and ecosystem partners. Our experimentation culture, combined with a disruptive brief empowers us to break future ground. We deliver BigData, AI, ML, and DL Managed services to some of the leading teams and clients in the country. You must enjoy working as part of a team in a fast-moving environment with changing requirements and deadlines. We’re looking for a technically-minded person who is self-motivated and good at problem-solving and coming up with new ideas. Our Data Mechanics work as part of multi-disciplinary teams and collaborate with: - Designers - Other analytics team members - Data engineers - Business subject matter experts - Technology delivery teams They deliver strategic research projects from design to execution, which may include: - Research - Proofs-of-concept - The art-of-the-possible - Real-world applications for clients You will have a passion for data and technology, be prepared for a hands-on technical role, and be hungry to learn and develop your skills. You will be expected to follow the key technology trends in the analytics domain, understand the related business implications, and nurture and share new ideas. Qualifications - Degree in Statistics, Mathematics, Computer Science, or a related scientific discipline - Hands-on data analytics experience, ideally including exposure to areas such as statistical modeling, machine learning, data mining, and unstructured data analytics - Knowledge of statistical and related tools/languages such as R, SAS, Python, or similar - Awareness of techniques and tools for working with large data sets such as MapReduce, Hadoop, Hive, and equivalent technologies - Experience with or exposure to Natural Language Processing, Machine Learning, Neuromorphic Computing, Cognitive Computing &/or Artificial Intelligence - Ability to work in a global collaborative team environment - Proficient verbal and written communication skills in English - NV1, NV2 Security Clearance Desirable Benefits - Full time, Part-time, Contract Roles - The opportunity to work in an industry-respected business with extensive clients and deep HPC and BigData experience - Embrace remote working - Welcome applications from overseas applicants open to working remotely - Work with subject matter experts on real-world client problems - Fun, dynamic environment with the latest and best hardware for AI, BigData, and DL - Choice of technical or organizational leadership career growth - State-of-the-art technology environment - Innovation, proof-of-concept, and first-article rapid prototype focus - Small-team workplace flexibility and work-life balance - Start-up and innovation culture Compensation EngineRoom offers some of the highest and flexible compensation offerings in the global market. We work flexibly at EngineRoom offering a range of balanced options for how, when, and where you work.

Role Description We are seeking Data Mechanic's who will further develop computational tools and lead complex analyses using cutting edge technology, approaches, and visualisation tools. As a Senior Data Mechanic, you are a key driver of our platform development strategy and direction in establishing data insight platforms that generate significant customer value. You will work closely with engineering, marketing, sales, customers, and partners to shape the search and data analysis capabilities of our platforms and influence how we bring these capabilities to market. This is an important and strategic role, and a great opportunity to make your mark not only at a great company but in a growing and expanding $62B market. - Gather and analyse input from sales, marketing, customers, partners, development and the executive team. - Work closely with executive management to shape the product strategy, roadmap and priorities. - Develop requirements documents and use cases for new product features, and work closely with engineering as they implement these capabilities. - Define and develop our product process in concert with other senior leaders. - Research and publish technical content that effectively exposes best practices, differentiators, and novel applications of products and technologies. - Be a go-to person and visible, strategic leader inside and outside the company. - Support marketing efforts as an active and engaged EngineRoom.io ecosystem community member, evangelist, speaker, and blogger. Qualifications - Experience as a Director / Partner Analytics with a professional service / consulting firm. - Potential experience as a Product Development Manager for a B2B / B2C Analytics product. - Well-versed in advanced statistical modelling and data mining techniques. - Able to creatively combine diverse computational methods, and develop new ones when necessary. - Fully capable of turning questions into testable hypotheses, extracting data from complex databases, creating and evaluating statistical models, and presenting insights to senior management and operational leaders. - Comfortable communicating complex technical subjects to non-technical audiences. - Experience with agile development processes. - Bachelor’s / Advanced degree in a technical field (computer science, engineering, math, science, MIS); MBA preferred. - 3+ years of applicable experience developing and successfully implementing statistical models for data mining, predictive modelling, clustering, and classification. - Experience with relational databases and SQL queries. - Proficiency in statistical software (e.g. R, SAS, SPSS). - Proficiency in at least one programming language (e.g. Python, C++, Java). - Familiarity with distributed data processing frameworks, such as MapReduce. - GeoSpatial technologies experience. - Analytic pipeline Development, Workflow optimisation experience. - Strong technical background / domain expertise in search, machine learning and/or analytics. - Hands-on deployment / implementation experience. - Ability to understand and communicate complex concepts and technologies, and translate them into business-oriented value propositions. - Effective writing, instructional design, presentation, creation, and public speaking skills. - Motivated, results-oriented, multi-tasking go-getter up to the challenge of a fast-paced entrepreneurial venture. - Excellent teamwork, interpersonal, and relationship management skills. - Infectious passion. Benefits - Full time, Part-time, Contract Roles. - The opportunity to work in an industry respected business with extensive clients, and deep HPC and BigData experience. - We embrace remote working. - We welcome applications from overseas applicants open to working remotely. - Work with subject matter experts with real world client problems. - A fun, dynamic environment with the latest and best hardware for AI, BigData and DL, and problems at the forefront of DL research. - Choice of technical or organizational leadership career growth. - State-of-the-art technology environment. - Innovation, proof-of-concept, and first-article rapid prototype focus. - Small-team workplace flexibility and work-life balance. - Start-up and innovation culture. Compensation EngineRoom offers some of the highest, and flexible compensation offerings in the global market. We work flexibly at EngineRoom offering a range of balanced options for how, when and where you work.