Senior Data Scientist, Forecasting
Thrasio
Data Science
India
Posted on Tuesday, June 11, 2024
We are Thrasio - Builders Welcome!
At Thrasio, we’re reimagining how to make the world’s most-loved products accessible to everyone. We work with successful sellers, using a deep understanding of rankings, ratings, and reviews – plus supply chain and marketing smarts – to transform the art and science of commerce. We estimate that 1 in 6 households has purchased a Thrasio product! And our goal is for all of those households to be truly delighted by their purchase.
What Makes Us Unique
At Thrasio, we’re in building mode: block by block we’re working together to construct a great company. What does that look like? Everyone is a leader - we lean into opportunities, not titles. We expect everyone to behave and act like a leader. Our Leadership Principles inform the ways we work together to ensure the brands, products and services we offer truly delight our customers. Everyone is a builder - whether it’s gaining marketable new skills through project sprints outside of your own function, or standing up more efficient ways of work - we’re doing it from the ground up. Everyone belongs- a sense of belonging brings us all together. We operate as One Team.
The Role
As a Senior Data Scientist on the Forecasting team, you will drive development of forecasting systems at the center of pricing strategy and inventory management across Thrasio’s extensive portfolio of omnichannel products. Partnering closely with experts in causal inference, pricing, optimization, and machine learning, you’ll help drive world class automated decision-making through accurate and timely forecasts, a fundamental part of Thrasio’s long term success and continued market leadership.
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 Ph.D. in a quantitative subject (i.e. 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.