Company Description At IKIGAI, we champion effortless health and purposeful living through advanced transdermal patch technologies. Our mission is to empower individuals with convenient, reliable, and science-led wellness solutions delivered skin-deep. Combining clinical expertise with cutting-edge formulation and adhesive technology, we offer effective, non-invasive health benefits for holistic well-being. Committed to quality, transparency, and continuous innovation, we ensure safety, efficacy, and inspiration in everything we do. Join us to experience purpose-driven health. Role Description Experience in leading and generating sales for online platforms (D2C, e-commerce, wellness, pharma, or similar) Proven success with digital marketing, social advertising, and collaborating with influencers or digital agencies. Candidates who have a substantial social media reach and engaged followers in the wellness, personal care, or D2C space are strongly encouraged to apply Connections in the D2C space or the confidence to build new ones and secure online growth A strategic mindset to help us increase sales, partner with similar brands, and generate momentum Ability to leverage digital trends to build measurable traction Qualifications For D2C wellness (personal care) startups, having team members or founders with relevant industry experience in digital marketing, sales, e-commerce, pharma, or health tech is highly advantageous, though not a regulatory requirement. Skills in performance marketing, influencer relations, data analytics, social commerce, and customer experience are important for success in this segment If you have the drive to build something meaningful, increase sales, and help us grow, let's connect! DM to discuss this exciting journey and join us as an equal partner.
Company Description The Ikigai platform unlocks the power of generative AI for tabular data. We enable business users to connect disparate data, leverage no-code AI/ML, and build enterprise-wide AI apps in just a few clicks. Ikigai is built on top of its three proprietary foundation blocks developed from years of MIT research - aiMatch, for data reconciliation, aiCast, for prediction, and aiPlan, for scenario planning and optimization. Our platform enables eXpert-in-The-Loop (XiTL) for model reinforcement learning and refinement, at scale. Rooted in academia, Ikigai also offers unmatched educational support that upskills workforces and transforms organizations into AI-driven ones. Ikigai Academy has already trained over 6000 students from 90+ countries on topics like “No Code AI” and “Time Series Forecasting”. Role Description: We are seeking a Data Scientist who thrives at the intersection of data transformation, analytics, and implementation. In this role, the Data Scientist will partner directly with clients to prepare, clean, and transform their data so it can seamlessly integrate with our aiCast platform. This Data Scientist will help customers unlock the value of their data—building pipelines, dashboards, and forecasts—and in many cases, own the end-to-end implementation from ingestion through delivery. This Data Scientist position is centered on data engineering, applied analytics, and client enablement. You’ll play a key role in helping customers get from raw data to actionable insights. Responsibilities: Collaborate with client teams to understand their data sources, structures, and business requirements. Design and implement data transformation pipelines to prepare data for aiCast ingestion. Build reporting and dashboarding solutions to help clients interpret and act on their data. Develop forecasting and analytics workflows to extend client use cases beyond data prep. Support end-to-end solution delivery—covering extraction, transformation, validation, and deployment—when applicable. Troubleshoot data quality issues and provide recommendations for improved structures or processes. Partner with internal engineering and success teams to ensure smooth implementations and knowledge transfer. Qualifications: At least 1-3 years of experience in a data role, preferably with enterprise clients Associate’s or Bachelor’s degree in a relevant field (e.g., Computer Science, Statistics, or Applied Mathematics) preferred Proficiency in Python, including libraries like NumPy and Pandas for data transformation. Working knowledge of SQL for querying and joining datasets (intermediate level). Experience building ETL/ELT pipelines or similar data processing workflows. Familiarity with data visualization, reporting, or dashboarding tools. Strong problem-solving skills with a focus on client outcomes and practical implementation. Ability to work with incomplete or messy data and structure it for usability in production systems. Excellent communication skills for translating technical work into business impact. Preferred Skills: Knowledge of data transformation (e.g. using python Pandas library) database management, data integration, or data visualization is a plus Experience with forecasting techniques or applied time-series analytics. Background in client-facing or consulting roles where you owned implementation delivery. Understanding of software engineering best practices (version control, testing, deployment). Ikigai Labs is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry or citizenship, ethnicity, disability, military or protected veteran status, genetic information, sexual orientation, marital or familial status, or any other personal characteristic protected under applicable law. Powered by JazzHR zhMTGPcQcP
Company Description The Ikigai platform unlocks the power of generative AI for tabular data. We enable business users to connect disparate data, leverage no-code AI/ML, and build enterprise-wide AI apps in just a few clicks. Ikigai is built on top of its three proprietary foundation blocks developed from years of MIT research - aiMatch, for data reconciliation, aiCast, for prediction, and aiPlan, for scenario planning and optimization. Our platform enables eXpert-in-The-Loop (XiTL) for model reinforcement learning and refinement, at scale. Rooted in academia, Ikigai also offers unmatched educational support that upskills workforces and transforms organizations into AI-driven ones. Ikigai Academy has already trained over 6000 students from 90+ countries on topics like “No Code AI” and “Time Series Forecasting”. Role Description Ikigai is looking for an AiSuccess Engineer to join our growing team and support our enterprise clients with navigating our industry-leading platform. This is the ideal role for someone who enjoys working directly with customers, solving technical challenges, and working with large datasets – all while learning and applying emerging technologies; including AI and machine learning. As an AiSuccess Engineer, you will not only provide technical support, but also engage with clients to ensure their success, troubleshoot complex issues, and contribute to the continuous improvement of our platform. If you are someone who is excited to be at the intersection of customer engagement and technical problem-solving, this is a great opportunity to grow in a dynamic, fast-paced environment. Responsibilities Serve as the first point of contact for enterprise clients, providing technical assistance with platform access, model functionality, data integrations, and API connectivity Troubleshoot and resolve technical issues, ensuring timely and effective solutions to maintain high client satisfaction and loyalty Analyze large datasets and collaborate with clients to identify and solve data-related challenges that optimize their platform usage Partner with engineering, product, and other internal teams to escalate and resolve complex issues Stay up-to-date with emerging technologies, particularly AI and machine learning, to continually expand your knowledge and offer more value to clients Contribute to Ikigai’s internal documentation repository by identifying and adding new solutions and troubleshooting steps based on your experiences Proactively identify potential issues before they escalate and develop strategies to improve the client experience continuously Qualifications At least 1-3 years of experience in a technical support or client-facing role, preferably with enterprise clients High school diploma required; Associate’s or Bachelor’s degree in a relevant field (e.g., Computer Science, Information Technology) preferred Solid working knowledge of Python and data analytics, along with familiarity with cloud platforms such as AWS and Azure Strong troubleshooting skills with the ability to resolve technical issues quickly and effectively Excellent communication skills, both written and verbal. Ability to explain complex technical concepts to non-technical clients Ability to learn new technologies quickly, especially in AI and machine learning. Familiarity with helpdesk software or ticketing systems like Zendesk is a plus Preferred Skills Knowledge of data transformation (e.g. using python pandas library) database management, data integration, or data visualization is a plus Experience documenting issues, creating ticket details, and communicating resolutions back to clients within Service Level Agreement timeframes Exposure to AI or machine learning concepts (hands-on experience not required) Ikigai Labs is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry or citizenship, ethnicity, disability, military or protected veteran status, genetic information, sexual orientation, marital or familial status, or any other personal characteristic protected under applicable law. Powered by JazzHR lhGDaLdzpu
We are seeking a Cloud Data Engineer who excels in cleaning, transforming, and preparing complex data for integration into machine learning models. In this role, you will work closely with clients to understand their data and ensure it is properly formatted, validated, and optimized for use in our data pipelines. This position emphasizes data hygiene, reconciliation, and transformation—turning raw, messy data into structured, reliable datasets that flow seamlessly through our systems. The ideal candidate will combine analytical thinking with strong technical skills in Python (NumPy, Pandas) and SQL, bringing a software-engineering mindset to data quality and operational efficiency. Responsibilities Collaborate with client teams to understand data sources, formats, and integration requirements. Clean, reconcile, and transform raw customer data to align with our platform’s ingestion standards. Build and maintain data transformation and validation pipelines to ensure consistent, high-quality outputs. Diagnose and resolve data discrepancies, ensuring accuracy and consistency across systems. Develop scripts and workflows for repeatable data processing and format standardization. Partner with internal engineering and client success teams to deliver clean, production-ready datasets. Ability to quickly learn new libraries and APIs to connect to external data sources – for example: Looker SDK, BigQuery python client or Snowflake python connector. Document data mappings, transformation logic, and validation procedures for long-term maintainability. Ability to create effective visualizations to provide insights from the data. Qualifications 1–3 years of experience in a data-focused role (data scientist, software engineer, data analysis, data operations, or data engineering). Bachelor’s degree in Computer Science, Information Systems, Statistics, or a related field preferred. Strong proficiency in Python, particularly NumPy and Pandas for data manipulation and transformation. Solid experience with SQL for data querying, joining, and reconciliation across multiple sources. Experience building or maintaining ETL/ELT pipelines or data wrangling workflows. Attention to detail and a commitment to maintaining high data quality and consistency. Ability to interpret and clean messy or incomplete data for use in production systems. Excellent communication skills for collaborating with both technical and non-technical stakeholders. Preferred Skills Experience with data validation, schema alignment, or reconciliation across disparate systems. Familiarity with version control, testing, or other software engineering best practices. Exposure to data visualization or reporting tools for validating and communicating results. Background in client-facing or consulting environments where data integrity and delivery were key. About Ikigai Labs Ikigai Labs is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry or citizenship, ethnicity, disability, military or protected veteran status, genetic information, sexual orientation, marital or familial status, or any other personal characteristic protected under applicable law. Powered by JazzHR WSxZGFaD0m