Data Scientist- Pytorch/ TensorFlow

2 weeks ago


Chennai, Tamil Nadu, India Ups Supply Chain Solutions Full time
Job Description

RESPONSIBILITIES

- Defines key data sources from UPS and external sources to deliver models.
- Develops and implements pipelines that facilitates data cleansing, data transformations, data enrichments from multiple sources (internal and external) that serve as inputs for data and analytics systems.
- For larger teams, works with data engineering teams to validate and test data and model pipelines identified during proof of concepts
- Develops data design based on the exploratory analysis of large amounts of data to discover trends and patterns that meet stated business needs.
- Defines model key performance indicator (KPI) expectations and validation, testing, and re-training of existing models to meet business objectives.
- Reviews and creates repeatable solutions through written project documentation, process flowcharts, logs, and commented clean code to produce datasets that can be used in analytics and/or predictive modeling.
- Synthesizes insights and documents findings through clear and concise presentations and reports to stakeholders.
- Presents operationalized analytic findings and provides recommendations.
- Incorporates best practices on the use of statistical modeling, machine learning algorithms, distributed computing, cloud-based AI technologies, and run time performance tuning with the goal of deployment and market introduction
- Leverages emerging tools and technologies together with the use of open-source or vendor products in the creation and delivery of insights that support predictive and prescriptive solutions.

QUALIFICATIONS

Requirements:

- Ability to take a data science problem from start to finish, use pytorch/tensorflow to build the full model product.
- Strong analytical skills and attention to detail.
- Able to engage key business and executive-level stakeholders to translate business problems to high level analytics solution approach.
- Expertise with statistical techniques, machine learning or operations research and their application in business applications.
- Expertise in R, SQL, Python.
- Deep understanding of data management pipelines and experience in launching moderate scale advanced analytics projects in production at scale.
- Demonstrated experience in Cloud-AI technologies and knowledge of environments both in Linux/Unix and Windows.
- Experience implementing open-source technologies and cloud services; with or without the use of enterprise data science platforms.
- Solid oral and written communication skills, especially around analytical concepts and methods.
- Ability to communicate data through a story framework to convey data-driven results to technical and non-technical audience.
- Masters Degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience.Preferences:
- Familiarity with Java or C++
- Employee Type:PermanentUPS is committed to providing a workplace free of discrimination, harassment, and retaliation.
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