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Senior Data Scientist, Forecasting
4 days ago
Some of the day to day may include:
Leveraging machine learning, statistical, and econometric time series techniques alongside hybrids of these to develop accurate, granular demand forecasts within a hierarchical product catalog context. Partnering closely with the pricing and supply chain data scientists to integrate the causal impact of their business levers into your forecasts, creating a single source of truth for forward planning for the business. Collaborating with cross-functional partners such as engineering, product management, and brand managers to build interfaces to your models, allowing for informed, tracked overrides of forecasts where business context is missing. Delivering and supporting production code driving business-critical decision making systems
What you bring to the party:
Masters or in a quantitative subject ( computer science, economics, operations research, statistics, etc.) or a related field such as Industrial Engineering, Statistics, Mathematics, Computer Science, etc. 3+ years of practical experience working in data science systems (ideally in e-commerce) Experience delivering robust and maintainable production codebases that autonomously deliver data science models to downstream systems Experience in statistical/econometric time series modeling (ARIMA, Exponential Smoothing/ETS, GLMs/GAMs, Dynamic Factor Models, etc.), machine learning (XGBoost/LightGBM, RNNs, Transformers, etc.), or hybrid time series techniques (ES-RNN, N-BEATS, TFT) Proficiency in Python, SQL, Git Passion for driving outsized business impact through applied science, humility, and collaboration
Nice to have, but not required:
Experience in supply chain optimization, pricing, causal inference (to ease collaboration with partner teams) Familiarity with Databricks, Snowflake, (Spark or other forms of distributed computing) What We Offer: - The chance to be part of a next-gen consumer goods company that is changing the industry - A collaborative work environment where cross-functional teams work together to solve problems and achieve common goals- The opportunity to build together with a talented, diverse and passionate team, and the innovative technology to enable us- We promote a "none punch in or out" work environment that allows employees to manage their schedules effectively, and maintain a healthy balance- Competitive salary and benefits package, tremendous on the job learning opportunities.The freedom to "be bold", have a voice within the company and take on opportunities with less red tape Our Commitments: Thrasio values diversity, equity, and inclusion and is proud to be an equal opportunity employer. We welcome individuals from all backgrounds and consider all qualified applicants without regard to race, color, religion, sex, gender, sexual orientation, gender identity, ancestry, age, national origin, disability, protected veteran status and any other category protected by applicable law. We strive to create an environment where everyone can thrive. We encourage applicants who meet the minimum criteria to apply, as we believe in the power of diverse perspectives and challenging assumptions. Diversity: At Thrasio, we are committed to building a great company - a place I want to work at, a place I can build, a place I can belong. Our goal is to build a diverse, equitable, and inclusive environment that fuels success and growth in the workplace and beyond. We are also committed to recruiting and hiring a diverse team at all levels through fair and unbiased recruitment and hiring practices. Providing diversity-related demographic information during the application process helps us measure our progress towards these goals.
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