ML / Data Engineer in Mamo

Help us harness the power of data to drive Mamo's success 📊Mamo is looking for a Data Engineer, who will help empower Mamo, by guiding us through the dynamic landscape of fintech with precision and insight.You will collaborate with cross-functional teams to define, measure and comprehend key metrics, shape business strategy and product roadmap through data, produce analysis reports and models, enhance our products and services with data-driven and AI-driven approaches, and make a substantial impact on the business.You will work closely with the engineering team, product team and other stakeholders to determine the data collection requirements, the data schema, the data analysis, the model training and the model implementation.Ready to shape the future with data? Dive in, and let's make waves together👉NOTE BEFORE APPLYINGPlease note that we use a tool to detect AI-generated application responses. Any applications found to contain AI-generated responses will be disqualified.Why you’ll love working hereStartup environment that’s big on individual responsibility and leans on process and automationWe’re big on culture. Work with stunning, supportive product, design and engineering teams on problems that matterYou will be learning and growing all of the time. From business, product, design to engineering you will be learning from a world-class team that is caring, kind, and empathetic.‍Mamo has the potential for a wide-reaching impact. Mamo is taking on the challenge of bringing about a new era of financial inclusion that begins close to home by providing access and experiences that make sense. That means you will never be boredWhat you will doAnalyze large-scale structured and unstructured datasets using analytical, statistical, machine learning, or deep learning techniques to address a wide range of complex issuesCollaborate with stakeholders from various departments to comprehend their business requirements and obstacles, design and develop analytics solutions to achieve business goals, and facilitate decision-makingPartner with cross-functional teams to provide strategies based on data-driven insights across product, marketing, compliance, and other areasIdentify, understand, and evaluate external/internal opportunities to enhance our products and servicesDetermine and assess the success of product initiatives through goal setting, forecasting, and monitoring of key product metricsCreate data models, data automation systems, performance metrics, and reporting frameworks, and monitor impact over timeExecute Machine Learning projects from inception to completion. This encompasses understanding the business need, planning the project, collecting & exploring data, developing & validating models, and implementing ML models to generate business valuePresent results and business impacts of insight initiatives to stakeholders within and outside of the organizationWhat we’re looking forAdept at dissecting vague and high-level problems and coming up with solutionsSkilled in data extraction, analysis, and/or modelingCapable of working autonomously, with minimal supervision, in a dynamic environmentSelf-motivated, creative, team-oriented, with strong communication and presentation abilities, able to bridge business and technical audiencesAn advocate for documentation, transparent communication, and knowledge sharingYou haveYou have more than 5 years of professional experience with analysis tools and recommendation systemsExtensive experience in SQLHands-on experience with Looker Studio or similar toolsSolid experience in Python and data analysis libraries such as pandas, numpy, matplotlib, scikit-learn, etc …Experience in using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations for business unitsExperience in developing production-grade ML systems including exploratory analysis, feature engineering, hyperparameter tuning, model training, model selection, creating data pipelines, etcExperience in working with deep learning frameworks such as PyTorch for real-world problemsBonus if you havePayments, Fraud, Risk, E-Commerce or Finance backgroundExperience with Looker, BigQuery and other GCP services Show more Show less Посадовий рівень Не застосовується Тип зайнятості Повний робочий день Посадові обов’язки Інформаційні технології Галузі Фінансові послуги