Posted about 1 year ago
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Responsibilities
Position Overview:
UPLabs is a dynamic venture studio dedicated to building innovative startup companies from the ground up. Our team thrives on solving complex problems, driving technological advancements, and creating impactful digital products. We’re seeking a highly skilled Senior Data Scientist to join our growing team and contribute to our mission of launching the next wave of successful startups.
As the Data Scientist at UP.Labs, you will play a key and unique role in building new startups from 0 to 1, creating practical outcomes from emergent technologies and accessible data.
Responsibilities:
* Act as the owner of Data Science, Analytics, and, in some cases, Data Engineering as a subject matter expert.
* Create rapid proofs of concept, then scale into functional MVPs to turn concepts into tangible reality.
* Mentor and support team members to achieve greater outcomes at larger scales of data density and system complexity.
* Work in a diverse, dynamic, collaborative, transparent, and inclusive environment where all ideas and opinions are equally valued.
Qualifications and Requirements:
* MSc or PhD in a quantitative field (Statistics, Math, Economics, or Data Science preferred).
* 4-7 years of experience within Data Science and Machine Learning domains and their practical applications.
* Hands-on experience with classic optimization and machine learning algorithms, including regressions, operations research, constraint optimization, integer programming, intervention analysis, xgboost, lgbm, random forest, and anomaly detection algorithms, for building, evaluating, deploying, and monitoring ML models from scratch.
* Experience with filtering and cleansing unstructured (or ambiguous) data into usable data sets that can be analyzed to extract insights and used for feature engineering.
* End-to-end product build, development, and delivery experience.
* Ability to clearly explain technical concepts in English.
* Experience with databases, data warehousing, and ETL systems and solutions (e.g., Oracle, DataBricks), and respective public cloud service offerings (AWS, GCP, Azure).
* Familiarity with time series analysis and LSTM (deep learning approaches for sequence analysis are a plus).
* Comfort working in ambiguous, fast-paced environments such as startups and growth-phase tech companies.
* Experience working with agile, lean, and Continuous Delivery approaches such as Continuous Integration, TDD, Infrastructure as Code, etc.
* Experience in collaborating with Product teams to find effective solutions.
* An open, curious, and humble mindset that contributes to our open, inclusive, and collaborative environment.
Preferred Skills:
* MSc or PhD in a quantitative field (Statistics, Math, Economics, or Data Science preferred).
* Experience with systems planning in transportation, aviation, or digital simulation.
* Experience working with major cloud environments (Azure, GCP, AWS) and cloud-native software architectures.
* Knowledge of Bayesian models, Monte Carlo simulations, and survival methods.
* Familiarity with A/B testing setup and analysis.
* Familiarity with reinforcement learning for practical use cases.
This job post is closed.