Key Responsibilities
- Lead the design, development, and deployment of advanced predictive models, machine learning algorithms, and data-driven solutions to optimize various aspects of our e-commerce operations (e.g., personalization, recommendation engines, pricing, inventory management, fraud detection, customer lifetime value). - Collaborate with product, engineering, and business teams to identify opportunities for data science applications and dene project scopes.- Perform in-depth exploratory data analysis to uncover trends, paerns, and insights from large, complex datasets across a wide assortment of products. - Develop and maintain robust data pipelines and ensure data quality and integrity for modeling initiatives. - Communicate complex analytical ndings and recommendations clearly and concisely to both technical and non-technical audiences. - Mentor and guide junior data scientists, fostering a culture of continuous learning and innovation within the team.- Stay abreast of the latest advancements in data science, machine learning, and e-commerce trends, and evaluate their applicability to our business.
Qualifications
Must-Haves Education: Master's or Ph.D. in a quantitative eld such as Statistics, Mathematics, Computer Science, Economics, Operations Research, Engineering, or a related discipline.
Experience: - Minimum of 6+ years of progressive experience in data science, with at least 3 years specically focused on e-commerce, retail, or a similar high-volume consumer-facing industry. Demonstrated experience in building and deploying data science models across a large and diverse assortment of products. Proven leadership experience, including leading projects and mentoring junior team members. Technical Prociency: - Expert-level prociency in Python, including libraries essential for data science (e.g., scikit-learn, TensorFlow, PyTorch, Keras, Pandas, NumPy, SciPy). ○ Strong command of SQL for data extraction and manipulation from various databases. - Extensive experience with machine learning techniques (e.g., supervised, unsupervised, reinforcement learning), statistical modeling, hypothesis testing, and experimental design (A/B testing). Analytical Skills - Exceptional problem-solving abilities, with a strong analytical mindset and aention to detail. Ability to translate business problems into quantitative questions and actionable solutions.
Nice-to-Haves - Experience with Marketing Mix Modeling (MMM) or Multi-Touch Aribution (MTA) models for marketing aribution. Experience with big data technologies (e.g., Spark, Hadoop, Flink). - Familiarity with cloud plaorms (e.g., AWS, GCP, Azure) and their data science services. Experience with notebook visualization tools (Hex, Deepnote, Jupyter Notebooks, etc.). Knowledge of causal inference methods.
About RYZ Labs:RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world.
Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years.
At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists.
Our values and what to expect:- Customer First Mentality - every decision we make should be made through the lens of the customer.- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.- Ownership - step up if you see an opportunity to help, even if not your core responsibility. - Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.- Frugality - being frugal and cost-conscious helps us do more with less- Deliver Impact - get things done in the most efficient way. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.
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