Part-Time Retail Data Collection Associate

Join our dynamic team as a Part-Time Retail Data Collection Associate where you will play a crucial role in gathering valuable retail insights. This position is perfect for individuals who enjoy engaging with products and have a keen eye for detail. As a part of our team, you will conduct data collection in various retail environments, ensuring accuracy and …

As a Part-Time Retail Data Collection Associate, you will play a crucial role in gathering and analyzing retail data to support our clients. This position offers flexible hours, allowing you to balance work with other commitments. Ideal candidates will have a keen eye for detail and possess strong analytical skills.

Join a dynamic team as a Part-Time Retail Data Collection Associate in Cambridge, where you will play a vital role in gathering essential data that drives retail decisions. Your responsibilities will include conducting in-store visits, collecting data, and ensuring the accuracy of information for our retail partners.This position is ideal for individuals who are detail-oriented and enjoy working independently. If you're looking to contribute to a growing company and make a real impact, we want to hear from you!

Join ph7 as a Senior Software Engineer specializing in Core Data technologies including Hadoop and HBase. In this role, you will be at the forefront of developing innovative data solutions that drive business success. You will collaborate with cross-functional teams to design and implement scalable data architectures, ensuring the integrity and accessibility of data across platforms.

About Pioneering Intelligence Imagine harnessing the power of science, data, and artificial intelligence to revolutionize technology and accelerate innovation. This is the mission of Pioneering Intelligence, an initiative by Flagship Pioneering that aims to blend cutting-edge research with digital sciences. We are committed to creating AI and machine learning-driven platforms that can transform human health, sustainability, and more. Pioneering Intelligence builds upon Flagship's legacy of pioneering companies at the forefront of AI, driving advancements throughout the ecosystem and enabling the creation of groundbreaking innovations. Our team comprises computational scientists and engineers from diverse fields including applied mathematics, nuclear physics, engineering, and computational biology. We leverage our collective expertise to tap into the broad spectrum of scientific knowledge and promote innovative thinking that transcends conventional computational boundaries. We are constructing a next-generation digital foundation that combines computational science, AI/ML, knowledge engineering, data platforms, and workflow automation. These capabilities empower Flagship to explore uncharted territories and transform scientific insights into transformative enterprises. About the Role The Flagship Data Platform is a shared resource that facilitates swift progress for Flagship companies by providing secure and well-governed access to reliable data across our portfolio. As the Senior Director, Product Manager for the Data Platform, you will spearhead the product strategy, roadmap, and execution from initial use cases to widespread adoption. You will collaborate closely with software and ML engineers, UX designers, scientists, and senior stakeholders across various companies to convert ambiguous, high-value opportunities into impactful products that enhance scientific discovery and decision-making. You thrive in a dynamic, interdisciplinary environment and can seamlessly transition between strategic planning, discovery, and hands-on execution. Key Responsibilities Develop and maintain the comprehensive product vision and roadmap, establishing metrics and priorities to optimize impact. Swiftly conduct product discovery through user research, problem definition, prototyping, and validation. Coordinate priorities with an empowered technical lead. Utilize product analytics, qualitative feedback, and experimentation to guide decision-making. Effectively communicate results to stakeholders. Define and apply metrics to measure product effectiveness.

Join our dynamic team at Crossmark as a Part-Time Retail Data Collection Associate. In this role, you will be responsible for gathering and reporting essential data from retail environments. Your insights will help shape the future of retail strategies and enhance customer experiences. This position offers flexible hours and the chance to work with a team dedicated to excellence.

Join our dynamic team as a Part-Time Retail Data Collection Associate where you will play a crucial role in shaping market insights by collecting and analyzing retail data. This position enables you to work flexibly while contributing to meaningful projects that influence product availability and merchandising strategies.

TetraScience is at the forefront of the Scientific Data and AI revolution, creating AI-native scientific datasets that power next-generation lab data management solutions and drive transformative scientific outcomes.About UsAs a leader in the Scientific AI market, TetraScience is recognized for generating more revenue than any of our competitors combined. In the past year, major players in computing, cloud, data, and AI have chosen TetraScience as their go-to partner for co-innovation and market strategies. For more information, visit our Newsroom.As part of your application, we encourage you to review the Tetra Way letter, written by our co-founder and CEO, Patrick Grady. This document will provide you with insights into our values and culture, helping you determine if TetraScience aligns with your professional ethos.Your RoleAs a Scientific Business Analyst, you will leverage your analytical mindset and strategic thinking to connect scientific insights with advanced technology. You will collaborate with scientists, product managers, and engineers to derive actionable insights from complex scientific data.With your expertise in Analytical Development and synthetic route optimization, you will identify innovative applications for AI and machine learning. Your strong communication skills will enable you to engage effectively with both scientific and business stakeholders, maximizing the value derived from scientific data.We seek a proactive, disciplined individual who is passionate about defining requirements for sophisticated solutions within R&D and Quality sectors of Life Sciences. You will embody principles of extreme ownership, demonstrating a proven ability to extract maximum value from data through enrichment, analysis, and integration with AI technologies.This position demands self-discipline and determination as we strive to revolutionize the life sciences industry.

Join Crossmark as a Part-Time Retail Data Collection Associate and be a key player in helping retailers make data-driven decisions. Your role will involve collecting and analyzing market data, ensuring that businesses have the insights they need to thrive. This position is perfect for detail-oriented individuals who enjoy working independently and are passionate about retail.

Company Overview: PhaseV, headquartered in Boston with research and development in Tel Aviv, is an innovative startup revolutionizing the drug development landscape. Our mission is to enhance the efficiency and precision of bringing new treatments to patients. By harnessing advanced causal inference techniques and pushing the limits of machine learning, PhaseV uncovers hidden signals in clinical data to provide actionable insights for optimal trial planning. Our proprietary machine learning-driven platform for adaptive clinical trial design and execution allows sponsors to swiftly capitalize on the advantages of adaptive trials, ensuring the best design meets their objectives and leads to more efficient, precise, and successful clinical outcomes. We proudly collaborate with seven of the leading pharmaceutical companies, alongside various CROs and biotechs, positioning us to significantly impact drug development and market entry. Position Overview: We are on the lookout for a skilled Senior Data Scientist to enhance our research team. The ideal candidate will possess a solid understanding of machine learning and statistics, with a keen interest in causal inference. For context on our recent challenges, please review our latest preprints: Causal Responder Detection Robust CATE Estimation Using Novel Ensemble Methods Key Responsibilities: Technical Development: Implement and optimize machine learning algorithms with a focus on causal ML applications in clinical trials. Collaborate with senior data scientists to develop and enhance our analytical platforms. Engage with clinical and biological experts to convert complex problems into technical solutions. Research & Analysis: Perform rigorous statistical analyses on both randomized and observational datasets. Develop and validate methodologies for responder identification and treatment effect estimation. Document and communicate methodologies and results to internal and external stakeholders. Collaboration: Work cross-functionally with engineering and product teams. Contribute to technical discussions and participate in peer code reviews. Assist in preparing technical documentation and research publications.

Join Our Team as a Remote Data Entry Specialist - Part TimeWe are seeking motivated individuals from across the nation to engage in online polling and data entry tasks. Apply today!This flexible work-from-home position allows you to earn additional income while setting your own schedule. Your responsibilities will include data entry, email responses, product reviews, and participating in various online projects.As a part of this rewarding opportunity, you will help shape market trends and influence product development. Occasionally, you may even have the chance to preview and test new products before they are released to the public. Your contributions will assist companies in gathering essential data to forecast market trends and make informed business decisions.- Earn by taking polls- Multiple payment options available, including PayPal, direct deposits, and virtual gift cards.- Part TimeAPPLY NOW: https://5o6x7a.ttrk.io/5de570e3dad44600015ccacdApplication Process:If you are self-driven and enjoy working independently from home, along with tasks such as email customer service, data entry, and product reviews, we want to hear from you!Our ideal candidates come from diverse backgrounds, including data entry, telemarketing, customer service, sales, administration, and more!APPLY NOW: https://5o6x7a.ttrk.io/5de570e3dad44600015ccacd

Your Contribution at Lila Sciences Be a part of innovating the scientific landscape! We are on the lookout for a talented software engineer with a background in life sciences to enhance our data science team. In this role, you will collaborate closely with software engineers, laboratory scientists, and machine learning engineers to develop state-of-the-art tools for automated scientific analysis and beyond. Your expertise in web services and data engineering, particularly in Python development for scientific applications, will be crucial. If you excel in a collaborative and fast-paced environment while adhering to best practices in git, development workflows, and user-centered design, we encourage you to apply! Your Responsibilities Engage in the complete software development life cycle, concentrating on the design, implementation, and maintenance of software services. Create reusable code and libraries to enhance efficiency and scalability. Ensure development aligns with strategic objectives, facilitating software that meets broader organizational requirements. Oversee git repositories, manage the team’s Jira board and Notion Hub, advocate for best practices, assist laboratory scientists in utilizing new tools, and cultivate a collaborative development culture. Collaborate directly with scientists to identify gaps and unmet needs, crafting customized software solutions for data management, LIMS functionality, and data automation. Advocate for infrastructure as code and devise efficient deployment strategies. Produce clear, concise documentation for both engineering teams and end users. Required Qualifications A minimum of 2 years of experience in software development within a commercial environment. High proficiency in Python programming. Solid understanding of git best practices. Strong listening skills and the patience to thoroughly understand user challenges. Experience in implementing scalable software solutions. Exceptional problem-solving abilities and a team-oriented mindset. Excellent communication skills for effective collaboration with team members and stakeholders. A proactive self-starter with independent thinking capabilities and keen attention to detail. Desire to work with highly skilled and dynamic teams in a fast-paced, entrepreneurial technical setting. Preferred Qualifications A background in biological sciences. Familiarity with data science and machine learning libraries (e.g., pandas, numpy, scipy). Knowledge of modern developer tools (e.g., pydantic, pyright, uv). Understanding of Kubernetes, ArgoCD, and GitHub Actions.

Join Our Team as a Remote Data Entry Agent - Flexible Part-Time Opportunity!We are seeking enthusiastic individuals from across the United States to engage in online surveys and polls. Don’t miss out on this chance to apply!This position allows you to earn extra income from the comfort of your home while setting your own schedule. Your responsibilities will include data entry, responding to emails, reviewing products, participating in polls, and various online tasks.As a vital part of our team, you will play a key role in shaping the market and influencing the development of new products. Occasionally, you will have the chance to preview products before their public release and even assist in testing them. Your contributions will help companies gather essential data to predict trends and inform business strategies.- Income opportunities through engaging polls- Receive payments via multiple methods, including PayPal, direct check, or online virtual gift card codes.- Part-Time PositionAPPLY NOW: https://5o6x7a.ttrk.io/5dd72739dad446000198e428Who We’re Looking For:If you are self-motivated, thrive in a home office setting, and enjoy tasks such as customer service via email, data entry, and product reviews, we want you on our team.We welcome applicants from diverse backgrounds, including data entry, telemarketing, customer service, sales, clerical work, administrative assistance, warehousing, inventory, reception, call centers, part-time positions, retail, and more!APPLY NOW: https://5o6x7a.ttrk.io/5dd72739dad446000198e428

Join Us as a Remote Data Entry Specialist!We are seeking enthusiastic individuals from across the nation to engage in polls and surveys. Don't miss out—apply today!This role offers the flexibility to earn supplemental income from the comfort of your home (telecommuting), allowing you to set your own hours. Your tasks will include data entry, responding to emails, providing reviews, participating in polls, and engaging in various online projects.This rewarding work-from-home opportunity not only helps you earn but also plays a vital role in shaping market trends and influencing new product launches. Occasionally, you will have the chance to preview products before they hit the market and even participate in testing them. Your insights will assist companies in gathering crucial data to predict trends and make informed business decisions.- Earn by participating in polls and surveys- Multiple payment options available, including PayPal, direct checks, or online gift card codes.- Part Time PositionAPPLY NOW: https://www.usasurveyjobboard.com/jobs/25958222-work-at-home-data-entry-agent-part-time-at-usasjbHow to Apply:If you are self-motivated, comfortable working independently from home, and enjoy tasks like email customer service, data entry, and product reviews, we want you on our team!Our data entry clerks come from a variety of backgrounds including data entry, telemarketing, customer service, sales, clerical, administrative assistance, and more.APPLY NOW: https://www.usasurveyjobboard.com/jobs/25958222-work-at-home-data-entry-agent-part-time-at-usasjb

Your Impact at Lila As a Senior or Principal Research Engineer specializing in Synthetic Data, you will play a pivotal role in shaping the vision, roadmap, and execution of our synthetic data initiatives. Your responsibilities will span from asset generation and simulation to integrating machine learning training and achieving measurable enhancements in model performance. Collaborating closely with our Research Engineering team, you will design, generate, and implement artificial datasets aimed at training, testing, and refining Lila’s platform to achieve our strategic objectives. What You Will Build Define and refine the synthetic data strategy along with a comprehensive multi-quarter roadmap. Create evaluation frameworks that effectively connect synthetic interventions with genuine model performance. Establish high standards for asset quality, diversity, thorough documentation, and reproducibility while fostering a robust review culture. What You Will Need to Succeed Over 6 years of experience in applied ML/ML systems, with at least 3 years leading industry initiatives, showcasing a strong track record in advanced algorithms and frameworks designed for large-scale synthetic data generation. More than 8 years of experience working with contemporary ML workflows, including Python, PyTorch, dataset tools, training loops, and evaluation frameworks; adept at profiling and optimizing GPU-intensive pipelines. Bonus Points For A proven history of constructing synthetic datasets from source data to significantly enhance model performance in specific domains. Experience with instruction fine-tuning and hill-climbing techniques. Ability to translate product requirements and feedback into a scalable synthetic data generation pipeline. Knowledge of quantization, distillation, routing, mixture-of-experts, and cost optimization at scale. Experience in compliance-heavy settings (HIPAA, PCI, FedRAMP) and with on-premises/VPC deployments. About Lila Lila Sciences stands at the forefront of innovation as the world’s first scientific superintelligence platform and autonomous lab, dedicated to life sciences, chemistry, and materials science. We are ushering in an era of limitless discovery by harnessing AI to enhance every facet of the scientific method. Our mission is to empower scientists to tackle humanity's most pressing challenges in health, climate, and sustainability at an unprecedented pace and scale. Discover more about our mission at www.lila.ai. If this sounds like an environment in which you would thrive, we encourage you to apply even if your experience doesn't perfectly align with every requirement listed.

Join us as a Remote Data Entry Clerk and enjoy the flexibility of working from home. As a vital part of our team, you will participate in paid surveys, perform data entry tasks, and provide customer service support. This opportunity allows you to set your own schedule while earning extra income. You will engage in various online tasks such as responding to emails, conducting evaluations, and assisting with product studies. By participating, you'll have the chance to influence new market trends and even test products before they are publicly available. Earn up to $35 for each completed survey, with various payment options available.

Your Impact at Lila As an ML Research Scientist specializing in Multimodal Data Extraction, you will play a pivotal role in advancing Lila's mission of achieving scientific superintelligence. Your work will focus on the development of foundational models capable of autonomously reading, interpreting, and organizing scientific knowledge from diverse formats such as text, images, and experimental data in the physical sciences. Your research will contribute to the unification of global scientific data into a machine-readable format, enhancing reasoning, prediction, and autonomous discovery within materials science and chemistry. What You Will Be Building Innovate and create AI systems that effectively extract and organize knowledge from a variety of scientific resources. Design and optimize large language models, multimodal models, and specialized architectures for accurate and interpretable data extraction. Develop scalable solutions for managing unstructured and heterogeneous scientific data, integrating various formats including text, tables, and visuals. Collaborate with subject matter experts to ensure that the extracted data aligns with real-world research workflows. Publish impactful research that propels the field of multimodal understanding and AI-driven knowledge extraction forward.

Apex Focus Group collaborates with research organizations, academic institutions, and brands to gather authentic consumer insights. We provide individuals with flexible remote research opportunities that contribute to the development of products, services, and user experiences.Role OverviewWe invite individuals from diverse backgrounds, including those interested in data entry clerk roles, to join our upcoming consumer research studies. These studies may involve online interviews, product evaluations, or feedback sessions, primarily conducted remotely.This role is casual and project-based, making it ideal for anyone seeking part-time research engagements based on their availability and profile alignment.Requirements A smartphone, tablet, or computer with a functioning camera A reliable internet connection Capability to follow written instructions and articulate thoughtful opinions A valid email address for receiving study invitations Benefits Flexible participation - engage only when studies fit your profile Variety in research formats, including remote online focus groups, video interviews, product assessments, or digital feedback sessions No prior data entry clerk experience is required - just a willingness to participate Some studies may provide early access to unreleased products or services Compensation is available for many studies, depending on the type If you are interested in contributing to research that influences real-world decisions and exploring flexible part-time, remote opportunities, we encourage you to register your interest online today.Important Notice – No Fees RequiredWe never charge any fees for registration or participation. Please be cautious of any communication requesting payment to participate in research.

POS-4092 Team and Product Focus The Data Hub team at HubSpot connects scattered data sources to deliver practical insights for Revenue Operations, marketing, sales, and customer teams. By integrating information from various channels and tools, the team improves data quality and makes this data actionable within HubSpot. This enables teams to run AI-powered demand generation, optimize campaigns, and produce reliable reports, without requiring deep expertise in data systems. Product engineering here blends data engineering, machine learning, applied AI, and market strategy. The group prioritizes reliability, cost efficiency, and scalability, while always considering usability for marketers and sales professionals. Role Overview HubSpot is seeking a Lead Principal Software Engineer to steer the next phase of Data Hub's development. This platform is evolving into the central engine for data-driven demand generation company-wide. Key Responsibilities Take ownership of critical components in the data lake and analytics architecture, working with technologies such as Iceberg, Spark, and both batch and streaming data pipelines. These systems underpin large-scale demand generation, segmentation, and scoring. Design and refine data systems to achieve the right balance between cost, latency, data freshness, and reliability. Apply principles like the CAP theorem, efficient partitioning, and thoughtful storage layout to guide decisions. Collaborate closely with Product Management, product analytics, and go-to-market leaders to deliver solutions that drive business outcomes: improved lead scoring, enhanced funnel visibility, audience segmentation, and campaign attribution for marketing and sales. Contribute to transforming Data Hub into an AI-powered platform, aiming for curated, always-available datasets that support AI agents and reporting tools, eliminating the need for manual integrations or custom pipelines. This is a hands-on principal engineering position. The role involves building systems, working alongside product and design, and amplifying the impact of HubSpot's broader engineering community.

Join KAYAK, a premier travel search engine under the Booking Holdings umbrella (NASDAQ: BKNG). Our mission is to simplify travel planning, allowing users to effortlessly discover their ideal flight, accommodation, rental car, or vacation package. We're also pioneering a new frontier in business travel with our innovative corporate solution, KAYAK for Business.As a KAYAK team member, you’ll be part of a dynamic organization that includes an impressive array of global metasearch brands such as momondo, Cheapflights, and HotelsCombined. With a commitment to innovation embedded in our culture, every team member has the chance to make a significant impact. We aim to create the most user-friendly travel search engine, making global exploration accessible to everyone.We are seeking a passionate Data Engineer to join our Marketing Data Engineering team. The ideal candidate will possess a strong background in developing robust data pipelines and a collaborative spirit. If you excel in fast-paced environments and are enthusiastic about leveraging cutting-edge technologies, including AI coding tools, this is your opportunity to shine!Your Responsibilities:Design and implement high-performance data pipelines and orchestration workflows.Develop clean, modular Python code for transforming, parsing, and enriching large datasets.Create informative dashboards and visualizations to support stakeholder needs.Collaborate closely with marketing analysts, engineers, and data scientists to fulfill data requirements.Engage in agile ceremonies, code reviews, and planning discussions.Experiment with AI coding tools to enhance productivity and ensure top-notch code quality.Our Technology StackLanguages: Python, SQLWorkflow orchestration: AirflowQuery engine: TrinoData warehouse: VerticaSource control: GitAI coding tools: CursorQualifications:6+ years of professional experience in data engineering.Expertise in SQL and Python, with a focus on writing scalable and maintainable code.Experience utilizing AI coding tools and a keen interest in their transformative impact on development.A proactive approach to problem-solving and a strong desire to learn and grow.