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Experience Level
Manager
Qualifications
The ideal candidate will possess a strong background in data science and machine learning, with proven experience in managing teams. A Master's degree in a relevant field is preferred. You should have excellent analytical skills, experience with programming languages such as Python or R, and familiarity with data visualization tools. Strong communication skills and the ability to collaborate with cross-functional teams are essential.
About the job
Join Cabify as a Data Science Manager, where you will lead a talented team in delivering innovative data-driven solutions. In this role, you will oversee the development and implementation of advanced analytics models, driving strategic decisions across the organization. Your expertise will help us harness the power of data to enhance our services and improve customer experiences.
About Cabify
Cabify is a leading mobility platform that is revolutionizing urban transportation. We are committed to providing efficient and sustainable transport solutions while ensuring safety and comfort for all our users. Join us in our mission to make cities more accessible through technology.
Please submit your CV in English and include your English proficiency level. Mindrift connects experienced professionals with project-based AI assignments for major technology companies. The work centers on evaluating, testing, and improving AI systems. This is a freelance, project-based position rather than a permanent role. Role overview This freelance Dat…
Please submit your CV in English and indicate your English proficiency level. This freelance, project-based contract connects data scientists with AI assignments for top technology companies. The work centers on designing and validating computational challenges that mirror real-world analytics in industries such as telecom, finance, government, e-commerce, and healthcare. This is not a permanent position. Key Responsibilities Design data science problems that reflect authentic analytical workflows and business scenarios, including customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency improvements. Develop computationally intensive challenges that require Python programming, using libraries like Pandas, Numpy, Scipy, Sklearn, Statsmodels, Matplotlib, and Seaborn. Write tasks involving advanced reasoning in data processing, statistical analysis, feature engineering, predictive modeling, and extracting actionable insights. Ensure all problems are deterministic and reproducible, using fixed seeds for any random elements. Design end-to-end projects spanning the full data science lifecycle: data ingestion, cleaning, exploratory data analysis (EDA), modeling, validation, and deployment considerations. Incorporate big data processing elements that require scalable computational solutions. Validate solutions in Python with standard data science libraries and statistical techniques. Document each challenge clearly within a business context and provide verified, correct answers. Location This role is remote and based in València, Valencian Community, Spain.
Join Mindrift as a Freelance Python Data Scraping Engineer and contribute to the innovative Tendem project, where we integrate human expertise with AI capabilities.As an AI Pilot at Mindrift, you will collaborate with Tendem Agents on repetitive tasks, leveraging your critical thinking and domain expertise to ensure the delivery of precise and actionable data results.This part-time remote position is perfect for technical professionals experienced in web scraping, data extraction, and processing.About MindriftAt Mindrift, we connect specialists with exciting AI projects from leading technology innovators. Our mission is to harness the potential of Generative AI by tapping into global real-world expertise.Role OverviewIn this freelance role, you will manage data scraping tasks that demand technical accuracy for web extraction and processing, using tools such as Apify and OpenRouter, along with your innovative methods.Key ResponsibilitiesOversee end-to-end data extraction workflows across complex websites, ensuring comprehensive coverage, accuracy, and consistent delivery of structured datasets.Utilize internal tools (Apify, OpenRouter) and custom workflows to enhance data collection, validation, and task execution, while adhering to project specifications.Achieve reliable extraction from dynamic web sources, adjusting methods as necessary to accommodate JavaScript-rendered content and evolving site behaviors.Implement data quality standards through validation checks, cross-source consistency controls, and rigorous formatting specifications before delivery.Scale scraping operations to manage large datasets efficiently, employing batching or parallelization techniques while monitoring failures and maintaining stability in response to minor site structure changes.CompensationContributors can earn up to $30 per hour, based on their expertise and contribution pace. Compensation may differ across projects based on their scope and complexity.Get StartedTo apply, submit your application and qualify for projects that align with your technical skills, on your own schedule. From coding and automation to optimizing AI outputs, you'll play a vital role in advancing AI technologies.QualificationsA minimum of 3 years of relevant experience in data engineering, web scraping, automation, and data processing.Proficiency in Python and familiarity with web scraping frameworks.Strong analytical skills and attention to detail to ensure data accuracy and integrity.Ability to adapt and troubleshoot data extraction techniques based on varying website structures.Excellent communication skills to collaborate effectively with team members.
We invite you to submit your CV in English and indicate your English proficiency level.Mindrift offers a unique platform that connects talented specialists with project-based AI opportunities at leading technology firms, focusing on the testing, evaluation, and enhancement of AI systems. Please note that participation is project-based and does not constitute permanent employment.Role OverviewWhile each project presents distinct challenges, contributors can expect to:Design innovative computational engineering problems that replicate genuine engineering processes;Create scenarios that necessitate Python programming to resolve engineering calculations and simulations;Ensure tasks are computationally demanding and require numerical methods or iterative solutions;Develop challenges related to system design, optimization, and analysis;Base scenarios on authentic research challenges or practical engineering applications;Validate solutions using Python with established engineering libraries;Clearly document problem statements and provide verified correct answers.Ideal Candidate ProfileThis position suits engineers proficient in Python who are interested in part-time, non-permanent projects. Ideal candidates will possess:A degree in Mechanical Engineering or a related field;Proficiency in Python for numerical validation. Familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any domain-specific programming languages is also acceptable;At least 2 years of professional experience in applied engineering, research, or teaching;A solid understanding of practical engineering limitations and approximations;Strong written English skills (C1+ level);Professional certifications (e.g., CMME, SAS, CAP) and experience in international or applied projects are advantageous.Project WorkflowApplication → Qualification Process → Project Engagement → Task Completion → PaymentProject Time CommitmentFor this project, participants can expect to dedicate approximately 10–20 hours per week during active phases based on project needs. This is an estimate and not a guaranteed workload while the project is active.CompensationContributors on this project can earn up to $31 per hour, depending on their expertise and contribution pace. Compensation will vary by project based on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earnings based on their specific requirements.
We invite you to submit your CV in English and specify your English proficiency level.Mindrift connects talented professionals with project-based opportunities in AI for top tech companies, with a focus on testing, evaluating, and enhancing AI systems. Please note that this is a project-based role rather than a permanent position.Role Overview:While each project presents distinct challenges, contributors may be tasked with:Crafting original computational physics challenges that emulate genuine physics research workflows;Developing problems that necessitate Python programming for solutions (utilizing libraries such as Numpy, SciPy, Sympy);Ensuring that the problems are computationally intensive and cannot be manually resolved within a reasonable time frame (days/weeks);Creating problems that require complex reasoning in areas such as mechanics, electromagnetism, thermodynamics, and quantum mechanics;Formulating challenges based on authentic research issues or practical applications in physics;Validating solutions using Python with standard physics simulation libraries;Providing comprehensive documentation for problem statements along with verified correct answers.Qualifications:This opportunity is ideal for optical engineers with Python experience who are open to part-time, non-permanent projects. Preferred qualifications include:A degree in Physics (Theoretical, Experimental, or Computational) or related disciplines;Proficiency in Python for numerical validation. Familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, or knowledge of any programming language can be regarded as equivalent;At least 2 years of professional experience, which may include applied, research, or teaching roles;Experience in numerical simulation methods;Capability to design problems that reflect real-world physics research workflows;Innovative thinking in problem design across various physics sectors;Understanding of physics modeling and approximation techniques;Strong written English skills (C1+).Application Process:Apply → Complete qualifications → Join a project → Execute tasks → Receive payment.Project Commitment:For this project, tasks are estimated to demand approximately 10–20 hours per week during active phases, depending on project needs. This is an estimate and not a guaranteed workload, applicable only while the project is in progress.Compensation:Contributors can earn up to $29 per hour, based on their contribution level and pace. Compensation may differ across projects according to scope, complexity, and required expertise. Be aware that other projects on the platform may present varying earning levels based on their requirements.
Veeva Systems is a pioneering organization dedicated to transforming the life sciences sector through our industry-leading cloud solutions. As one of the most rapidly expanding SaaS companies globally, we achieved over $2 billion in revenue last year, with significant growth prospects on the horizon.Our core values drive us: Doing the Right Thing, Ensuring Customer Success, Supporting Employee Success, and Maintaining Speed. In 2021, we made history by becoming a public benefit corporation (PBC), legally committed to balancing the interests of our customers, employees, society, and investors.Embracing a Work Anywhere philosophy, we empower you to choose your ideal work setting, whether from home or in the office.Be part of our mission to revolutionize the life sciences industry, positively impacting our customers, employees, and communities.The RoleAs a Lead Python Engineer at Veeva Link, you will play a crucial role in developing the intelligence framework for Life Sciences, creating interconnected data applications that accelerate drug development and enhance patient outcomes. Our belief is clear: merging high-quality data with cutting-edge software yields tremendous value.Execution is key. We prioritize speed, accuracy, and quality in our daily creations. Our engineering methodology focuses on precise product definitions leading to thorough technical designs. We utilize a modern tech stack to ensure our applications are reliable and deliver a superior user experience.Our initiatives focus on two essential areas:Data-Driven InsightsWe create advanced applications that map and interpret global scientific and medical expertise, offering impactful insights and AI-driven intelligence. Engineers in our team tackle intricate data modeling, entity resolution, and sophisticated machine learning challenges.Intelligent Business WorkflowsOur focus is on developing intelligent workflows that streamline business processes, driving efficiency and effectiveness in the life sciences domain.
Role overview Jobgether seeks a Senior Python Data Scraping Engineer to join as a freelancer, working remotely from Spain. This role focuses on building and improving web data extraction systems that process large datasets and adapt to complex, dynamic websites. What you will do Design, develop, and maintain scalable web scraping solutions in Python Address challenges involving dynamic content and high-volume data extraction Collaborate with AI-driven agents to ensure accuracy and quality in data collection Adjust scraping strategies as web environments and project needs evolve Deliver reliable datasets that support advanced AI projects and analytics Requirements Strong background in Python and web scraping techniques Experience handling dynamic websites and large-scale data Attention to detail with a focus on precision Ability to work independently and bring creative solutions Located in Spain (remote work) Position details This freelance, remote position supports the creation of accurate datasets for AI applications. The role fits someone who enjoys practical engineering and values autonomy and technical skill.
We invite you to submit your CV in English, along with your level of English proficiency.Mindrift connects talented professionals with project-based AI opportunities for top technology companies, focusing on the testing, evaluation, and enhancement of AI systems. This is a project-based engagement, not a permanent position.Opportunity OverviewEach project presents unique challenges, and contributors may be involved in tasks such as:Crafting original computational engineering problems that emulate real-world engineering processes;Developing programming challenges using Python to carry out engineering calculations and simulations;Ensuring that problems are computationally demanding and necessitate numerical methods or iterative solutions;Creating scenarios involving system design, optimization, and analysis;Formulating problems based on genuine research challenges or real-world engineering applications;Validating solutions using Python with standard engineering libraries;Clearly documenting problem statements and providing verified correct answers.Candidate ProfileThis role is suitable for engineers with experience in Python, looking for part-time, non-permanent project work. Ideal candidates will possess:A degree in Electrical Engineering or related disciplines;Proficiency in Python for numerical validation. Familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any programming language is acceptable;At least 2 years of professional experience, including applied, research, or teaching roles;A solid understanding of practical engineering limitations and approximations;Excellent written English skills (C1 or higher);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience with international or applied projects is a plus.Application ProcessApply → Pass qualifications → Join a project → Complete tasks → Get compensatedProject Time CommitmentTasks for this project are estimated to require approximately 10-20 hours per week during active phases, depending on project demands. This is an estimate and not a guaranteed workload.CompensationParticipants can earn up to $31 per hour, based on their experience and contribution pace. Compensation varies across different projects based on scope, complexity, and required expertise. Please note that other projects on the platform may offer different compensation levels based on their specific requirements.
Toloka AI seeks a freelance AI trainer with experience in civil engineering and Python programming. This role focuses on training AI systems by combining technical engineering knowledge with hands-on coding skills. Responsibilities Use civil engineering expertise and Python programming to support AI training projects. Handle a variety of assignments that help advance AI technology. Collaborate with an international team while working remotely. Location This position is fully remote, based in València, Valencian Community, Spain.
Veeva Systems is a pioneering organization dedicated to transforming the life sciences sector through industry cloud solutions, enabling companies to expedite the delivery of therapies to patients. As one of the fastest-growing SaaS companies, we achieved over $2 billion in revenue in our last fiscal year, with promising growth opportunities on the horizon.Our core values drive us: Do the Right Thing, Customer Success, Employee Success, and Speed. In 2021, we proudly became a public benefit corporation (PBC), committed to balancing the interests of our customers, employees, society, and investors.As a Work Anywhere company, we empower you to choose your work environment—whether from home or in the office—to thrive and excel.Join us in revolutionizing the life sciences industry, where we are dedicated to making a positive impact on our clients, employees, and communities.The RoleAt Veeva Link, we are constructing the intelligence layer for life sciences, developing interconnected data applications to accelerate drug development and drastically enhance patient outcomes. Our guiding principle is that the fusion of top-quality data and cutting-edge software creates tremendous value.Execution is paramount; we believe that progress is driven by speed, precision, and the quality of our daily builds. Our engineering philosophy focuses on clear product definitions and detailed technical designs, utilizing a modern tech stack to deliver reliable applications and superior user experiences.Our work encompasses two pivotal domains:Data-Driven InsightsWe create advanced applications that map and comprehend global scientific and medical expertise, yielding high-impact insights and AI-generated intelligence. Our engineers tackle intricate data modeling, entity resolution, and sophisticated machine learning challenges.Intelligent Business WorkflowsWe design and implement intelligent workflows that optimize business outcomes, ensuring that our clients achieve their strategic objectives.
Veeva Systems is a purpose-driven leader in industry cloud solutions, dedicated to empowering life sciences companies to expedite the delivery of therapies to patients. As one of the quickest-growing SaaS companies in history, we achieved remarkable growth, surpassing $2B in revenue last fiscal year, with an exciting trajectory ahead.Our core values prioritize integrity, customer satisfaction, employee well-being, and speed. Uniquely, we made history in 2021 by becoming a public benefit corporation (PBC), which legally binds us to balance the interests of our customers, employees, society, and investors.Being a Work Anywhere company, we offer the flexibility to work from home or in the office, enabling you to succeed in your ideal workspace.Join us in transforming the life sciences industry, and making a meaningful difference for our customers, employees, and communities.The RoleAt Veeva Link, we are developing the intelligence layer for life sciences, crafting interconnected data applications that speed up drug development and enhance patient outcomes. Our fundamental belief is that merging top-tier data with cutting-edge software provides immense value.Execution is paramount. We believe that progress is driven by speed, precision, and quality in our daily endeavors. Our engineering philosophy focuses on clear product definitions that lead to thorough technical designs. We utilize a modern tech stack to create inherently dependable applications that deliver an exceptional user experience.Our work encompasses two essential domains:Data-Driven InsightsWe build advanced applications that map and analyze global scientific and medical expertise, delivering impactful insights and AI-driven intelligence. Our engineers tackle challenging data modeling, entity resolution, and sophisticated machine learning tasks.Intelligent Business WorkflowsWe design automated workflows that streamline business processes, enhancing efficiency and collaboration across teams.
At Datavant, we are on a mission to revolutionize healthcare through data collaboration. Our innovative platform ensures that health data is secure, accessible, and actionable, enabling organizations from healthcare providers to life sciences companies to harness critical insights. As we build the future of health data connectivity, we focus on fulfilling individual patient requests and empowering the AI-driven transformation in healthcare.Join Us in Shaping the Future at the Datavant Life Sciences Tech Hub in Barcelona!We are excited to announce the expansion of our global footprint with the launch of our Life Sciences Tech Hub in Barcelona. We are looking for talented Data Engineers who are passionate about product development and making a real impact in healthcare technology.As a Data Engineer at Datavant, you will play a pivotal role in designing and building systems that ensure secure, privacy-preserving access to high-quality healthcare data. Your contributions will support pharmaceutical companies, biotech innovators, and research organizations, directly impacting the development of new therapies and the acceleration of clinical trials.We are committed to enabling every healthcare decision to be powered by the right data, at the right time, in the right format. We seek problem-solvers, innovators, and passionate individuals ready to drive transformative change in the healthcare landscape.
Join Cabify as a Data Science Manager, where you will lead a talented team in delivering innovative data-driven solutions. In this role, you will oversee the development and implementation of advanced analytics models, driving strategic decisions across the organization. Your expertise will help us harness the power of data to enhance our services and improve customer experiences.
At Xenon7, we collaborate with premier enterprises and dynamic startups on groundbreaking projects that harness the latest technologies across various IT domains, such as Data, Web, Infrastructure, AI, and more. Our proficiency in developing IT solutions and providing on-demand resources enables us to partner with clients on transformative initiatives that drive innovation and business growth. Whether empowering global corporations or partnering with trailblazing startups, we are dedicated to delivering advanced and impactful solutions that address today's most complex challenges.Role OverviewWe are on the lookout for a talented Senior Data Engineer with extensive experience in Python, Databricks, Snowflake, and AWS to architect, develop, and implement advanced machine learning solutions. The ideal candidate will have a profound understanding of supply chain management, particularly in inventory management, and exhibit hands-on experience with machine learning algorithms such as time series forecasting, regression models, and neural networks.This role requires complete ownership from gathering business requirements to delivering solutions, along with strong communication and stakeholder management skills.Responsibilities Work closely with business stakeholders to gather and analyze requirements, ensuring alignment with project goals. Design and implement ML models tailored for supply chain and inventory management applications. Utilize Python, Databricks, and Snowflake for data preparation, modeling, and pipeline construction. Employ AWS services to build, deploy, and scale ML solutions within production environments. Use advanced algorithms including time series forecasting, regression, LSTM, neural networks, and classification models. Facilitate discussions, present solutions, and take full ownership of the ML delivery process from start to finish. Continuously evaluate, monitor, and enhance model performance.
Role overview FeverUp is looking for a Head of Data Science to guide its data science team in Madrid. This leader will shape analytical strategies and ensure the team delivers practical solutions that support business goals. What you will do Manage and mentor the data science team Work with teams across the company to improve how data informs decisions Oversee projects that apply machine learning, statistical modeling, and data visualization Focus on using data insights to support business results
Toloka AI is seeking a freelance specialist with a strong background in biology and Python programming. This remote role is based in València, Valencian Community, Spain. Role overview This position centers on training AI systems using knowledge from both biological sciences and Python. The work involves applying subject matter expertise to support the development and accuracy of AI models. What you will do Use your understanding of biology to inform AI training tasks Apply Python skills to support technical aspects of the training process Communicate complex ideas in clear, accessible language Requirements Expertise in biological sciences Proficiency in Python programming Ability to explain technical and scientific concepts effectively
Please submit your CV in English and include your English proficiency level. toloka-ai, in partnership with Mindrift, connects material science experts to project-based AI work for major technology companies. These freelance roles involve testing, evaluating, and improving AI systems. All work is project-based and does not constitute permanent employment. Key Responsibilities Design original materials engineering problems that mirror real-world engineering workflows Create challenges that require Python programming for calculations or simulations Develop computationally intensive tasks using numerical methods or iterative approaches Formulate problems centered on system design, optimization, and analysis Incorporate real research questions or practical engineering scenarios into problem sets Validate solutions with Python and recognized engineering libraries Document problem statements clearly and provide verified solutions Requirements Degree in Material Science or a closely related field Strong Python skills for numerical validation (experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar libraries is a plus) Minimum 2 years of professional experience, ideally in applied research or teaching Solid grasp of engineering constraints and practical approximations Excellent written English (C1 level or above) How Projects Work Submit an application Meet the required qualifications Join a project Complete assigned tasks Receive compensation Time Commitment During active project phases, tasks typically require 10 to 20 hours per week. Workload may fluctuate based on project needs. Compensation Contributors can earn up to $29 per hour, depending on project complexity, expertise, and individual pace. Rates may vary between projects on the platform. Location: Remote , València, Valencian Community, Spain
docplanner seeks a Freelance Spanish Data Annotation Specialist to support ongoing healthcare technology projects. This contract role focuses on improving data quality and is open to candidates based in Barcelona. Work is fully remote. Key responsibilities Annotate and review Spanish-language data sets for use in AI development. Collaborate with project teams to maintain accuracy and consistency throughout the data labeling process. Support initiatives that contribute to advancements in healthcare technology. Location requirements This is a remote position. Applicants must reside in Barcelona.
Who We AreMoniepoint is an innovative global fintech company committed to delivering modern financial services to millions of individuals and businesses in high-growth markets. We focus on providing essential solutions, including payments, banking, credit, and financial management tools, enabling our users to manage their finances effortlessly and securely.Our mission is clear: to promote financial happiness for every African, everywhere. We have experienced rapid growth in Nigeria and the UK and are now expanding our product, engineering, and analytics teams. Our projects span from constructing financial infrastructure to crafting intuitive user experiences for emerging markets, addressing significant, real-world challenges on a large scale.With over a million new customers joining each month and processing hundreds of billions of dollars in payments annually, we support tens of millions of users within our ecosystem. Our teams thrive in a dynamic, high-impact environment, collaborating with international leaders from renowned companies like Glovo, Bolt, Monzo, Klarna, Checkout.com, and Tide. If you are eager to build our data science function from the ground up while working with one of Africa’s most extensive fintech datasets and delivering products that impact millions, now is an exceptional time to join us.About the RoleWe are seeking a strategic and hands-on Data Science Manager (Marketing) to spearhead our data initiatives in a rapidly growing environment. This role is crucial in shaping our data strategy, cultivating a data-driven culture, and ensuring we have the robust infrastructure and insights necessary for continued success as a leading African fintech.You will work closely with our dedicated Marketing team and lead a passionate data team to implement our marketing strategy effectively. Your responsibilities will include enhancing our existing capabilities and defining the future roadmap. We are looking for an innovative and data-focused leader who can inspire both our team and our customers.Your ResponsibilitiesStrategic Leadership: Be a key figure in developing a team of exceptional data scientists and analysts. Formulate and execute a comprehensive data strategy that sets the standard for excellence.Team Building & Management: Recruit, nurture, and retain a high-performing team of data professionals.Experimentation: Champion a culture of rigorous experimentation, including A/B testing, to guide product development and business decisions.Data Pipeline Ownership: Oversee the complete ownership, design, development, and implementation of our data pipelines.
We are seeking a dynamic and results-driven Project Manager to join our Data Science Integrations Teams in a fully remote capacity. In this role, you will lead cross-functional teams to drive data science projects from inception to completion. You will coordinate with various stakeholders, ensuring that project objectives align with business goals while maintaining timelines and budgets.Your ability to manage multiple projects simultaneously and communicate effectively will be crucial to the success of our data initiatives. If you are passionate about leveraging data science to create impactful solutions, we would love to hear from you!