Posted about 1 year ago
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Responsibilities
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 professional to join our growing team and contribute to our mission of launching the next wave of successful startups.
As a Lead Data Scientist, you will play a pivotal role in developing and deploying data-driven solutions that optimize manufacturing processes, enhance operational efficiency, and support strategic decision-making. You will work closely with cross-functional teams to analyze complex datasets, build predictive models, and implement scalable data solutions.
Beyond technical contributions, you will also take on a hands-on leadership role, building AI and ML models, mentoring team members, guiding technical architecture, and fostering collaboration across the business.
Responsibilities:
* Apply advanced statistical and machine learning techniques to analyze large datasets and derive actionable insights.
* Design, develop, and deploy data models and algorithms using Databricks and Microsoft Azure tools such as Azure ML and Synapse Analytics.
* Collaborate with cross-functional teams, including engineering, manufacturing, and operations, to understand business challenges and develop data-driven solutions.
* Fine tune and distill LLM models for Vertical AI product use cases.
* Implement predictive and prescriptive analytics models to optimize operations such as production, supply chain, and logistics.
* Develop and maintain scalable data pipelines and ETL processes.
* Visualize data insights using tools like Power BI, Tableau, or similar platforms.
* Stay updated with the latest developments in data science, machine learning, and the transportation and logistics industry to ensure best practices.
* Provide technical leadership, setting standards for modeling, data quality, and best practices.
* Mentor and coach junior data scientists, fostering professional growth and encouraging knowledge sharing.
* Lead data projects end-to-end, including scoping, planning, and delivery.
* Drive alignment between business and technical stakeholders, ensuring data initiatives support strategic priorities.
Required Skills and Expertise:
* Bachelor’s degree in Data Science, Computer Science, Mathematics, Statistics, or a related field.
* 3+ years of hands-on experience in data science or analytics roles.
* Proficiency with data science tools and frameworks, including Python, R, and SQL.
* Expertise in Databricks.
* Experience with statistical modeling, machine learning, and optimization techniques.
* Strong understanding of data visualization tools such as Power BI, Tableau, or similar.
* Excellent problem-solving and analytical skills.
* Proven leadership abilities, including guiding teams, mentoring, and driving cross-functional initiatives.
Preferred Experience:
* Expertise in Microsoft Azure ecosystem, including Azure ML, Azure Synapse Analytics, Databricks, and Azure Data Factory.
* Experience in the transportation and logistics industry.
* Familiarity with IoT data and its integration into manufacturing and logistics systems.
* Knowledge of Big Data technologies like Hadoop and Spark.
* Strong communication skills to present findings and insights effectively to stakeholders.
* Experience leading complex, multi-stakeholder projects in fast-paced environments.
This job post is closed.