Data Scientist- Pytorch TensorFlow

UPS; Thiruvallur District; On-site; INR 2,000,000 - 2,800,000; Full time

Job summary

UPS is seeking a data scientist to design and deploy advanced analytics models that yield predictive and prescriptive insights from large data volumes. You will work with teams to implement pipelines for data cleansing, transformation, and enrichment, leveraging PyTorch/TensorFlow and cloud or on‑prem environments.

You will translate business problems into analytics solutions, validate model pipelines, and present findings to stakeholders using data storytelling.

Qualifications

• Master's degree in a quantitative field (e.g., mathematics, CS, physics, economics, engineering, statistics).
• Expertise in Python, SQL, and R.
• Experience with ML, data science production, and data pipelines.

Responsibilities

• Build and deploy predictive models from large structured and unstructured data.
• Develop data pipelines for cleansing, transformation, and enrichment from multiple sources.
• Collaborate with data engineering to validate and test model pipelines.
• Present insights and recommendations to stakeholders with clear storytelling.
• Apply ML techniques and cloud/On-prem AI tools to drive decisions.

Skills

Python

SQL

R

Machine learning

Data analysis

Communication

Cloud AI

Open-source tools

Education

Master's degree in a quantitative field

Tools

PyTorch

TensorFlow

Linux/Unix

Cloud platforms (AWS/Azure)

Job description

Job Description:

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Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow—people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level.

JOB SUMMARY

This position creates and implements advanced analytics models and solutions to yield predictive and prescriptive insights from large volumes of structured and unstructured data. This position works with a team responsible for the research and implementation of predictive requirements by leveraging industry standard machine learning and data visualization tools to draw insights that empower confident decisions and product creation. This position leverages emerging tools and technologies available in On-prem and Cloud environments. This position utilizes industry standard machine learning and data visualization tools to transform data and analytics requirements into predictive solutions and provide data literacy on a range of machine learning systems at UPS. This position identifies opportunities for driving descriptive to predictive and prescriptive solutions, which become inputs to department and project teams on their decisions supporting projects.

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

• 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.
• Master’s 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:

Permanent

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