Artefact (artefact.com)
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The Senior Data Consultant leads teams to deliver data-driven projects for clients, formulating strategies and action plans, managing project delivery, and building customer relationships. They are problem solvers and project managers, skilled in adapting to diverse missions and leveraging data to drive business impact.
The Senior Data Scientist will translate business challenges into technical solutions, develop and validate machine learning models, and enhance existing solutions through data visualization. They will work with stakeholders to ensure solutions maximize business impact and adhere to MLOps principles.
As a Data Engineer at Artefact, you will innovate and build data solutions, manage projects from conception to implementation, and collaborate with a team to deliver data-driven insights. You will engage in continuous learning and knowledge sharing within the team while optimizing performance and scalability of solutions.
As a Manager Data Engineer at Artefact, you will be responsible for leading innovative data solutions, managing projects from conception to implementation, and training team members. Your role includes optimizing performance and scalability, collaborating with a diverse team, and presenting solutions effectively to clients. You will engage in continuous learning and knowledge sharing to drive success and growth within the data division.
As a Junior Data Engineer at Artefact, you will innovate and build data-driven solutions, taking ownership of projects from conception to implementation. You'll work collaboratively with a diverse team, actively engaging in knowledge sharing and training while communicating effectively with clients. You will also manage and optimize machine learning models and infrastructure.
The Consulting Manager will oversee delivery and project management, supporting clients in their data transformation processes across various sectors. Responsibilities include managing multidisciplinary teams, identifying business opportunities, developing Artefact's offerings, and disseminating knowledge within the company. The role requires client management experience and a passion for data and technology.
The Senior Data Consultant will lead project teams, manage client relationships, develop consumer engagement strategies, conduct data analysis, and ensure successful initiative implementation while supporting business development efforts.
The Data Science Consultant will qualify and translate business challenges into technical solutions, design and validate algorithms, develop production-ready models, and enhance data visualization for insights. The role involves collaborating agilely with various stakeholders to maximize business impact through effective data solutions.
As a Data Analytics Specialist, you will create and implement tagging plans, perform web analysis studies, monitor web analytics impact on various activities, and collaborate with multiple divisions for data-driven marketing services.
As a Senior Data Engineer, you will innovate solutions, manage data pipelines, work collaboratively with a diverse team, and communicate effectively with clients to deliver impactful data-driven results. You will handle projects from inception to implementation using cutting-edge technologies.
As a Senior Data Strategy Consultant, you will collect and understand client needs, formulate strategies and roadmaps, organize project deliveries, and drive commercial roadmaps. You will work on projects including digital marketing efforts and utilize your skills in data strategies and project management.
As a Data Analyst Consultant, you will analyze and visualize data to drive business transformation for clients, leveraging technical skills in dashboarding, programming, and cloud databases. You'll interact with clients and teams, extract insights from data, and contribute to the development of comprehensive analytics solutions.
As a Junior Data Consultant, you will collect, analyze, and interpret data to help clients make data-driven decisions. Your responsibilities include organizing data, cleaning datasets, using statistical techniques in tools like Excel and SQL, and presenting insights to clients while collaborating to meet their business goals.
The Senior Data Scientist will work on qualifying use cases, translating business challenges into technical solutions, developing production-ready solutions, and implementing machine learning models. The role involves assessing data quality, developing algorithms, and applying MLOps principles for deployment.
As a Data Engineer, you will innovate data-driven solutions, build and optimize models, and train teams. You will manage projects from inception to implementation, collaborating with various experts to understand client needs and deliver strategic data recommendations.
As a Data Engineer at Artefact, you will work on innovative data solutions, handling everything from data collection to deploying machine learning models. You will collaborate with multi-disciplinary teams, manage projects, and share your knowledge through coaching and training while staying updated with industry advancements.
As a Data Engineer at Artefact, you will innovate and build data solutions for clients, manage project implementation, and optimize performance. You will also train team members, share knowledge at events, and collaborate closely with data scientists and engineers on various projects from infrastructure migration to machine learning models.
As a Data Analyst, you will lead projects to transform client businesses by effectively managing data. You'll ensure the quality of Data & Analytics services, mentor team members, communicate project successes, and stay updated with industry developments.
As Data Scientist Manager, you will lead data transformation projects, develop data science products, mentor team members, and optimize internal tools, while fostering client relationships and ensuring high-quality delivery of services.
As a Junior Data Consultant, you will analyze and interpret data to help clients make informed decisions. Responsibilities include data collection, cleaning, statistical analysis using tools like Excel, SQL, and R or Python, presenting insights, and collaborating with clients to develop data-driven recommendations.