Ts 2 years experience data scientist Jobs – 131 Open Jobs Today

Data Scientist 1
FedEx AMEA —Hyderabad, Telangana
- Full-time
- Microsoft Powerpoint
- Computer Science
- English
Risk Analyst, Buyer Risk Prevention, Payment Risk Mining
Amazon Development Centre (India) Private Limited - S55 —Hyderabad, Telangana
- Full-time
- Doctoral degree
- Computer Science
- Databases
Business Intelligence Engineer, ROW AOP
ASSPL - Andhra Pradesh —Hyderabad, Telangana
- Full-time
- Microsoft Excel
- Oracle
- Master's degree
AI Engineering Lead
Turing —Hyderabad, Telangana
- Azure
- Master's degree
- SQL
- Flexible schedule
ML Engineer(Databricks MLOps)
Anblicks —Hyderabad, Telangana
- Computer science
- Computer Science
- DevOps
Quick apply
Principal Azure Cloud Platform Engineer - Databricks & CI/CD Pipelines
サイネオス・ヘルス —Madhapur, Hyderabad, Telangana
- Azure
- SQL
- Leadership
Gen AI Architect
PepsiCo —Hyderabad, Telangana
- Remote
- Azure
- Computer Science
- Master's degree
LabVIEW Quality Engineer
Skyroot Aerospace —Hyderabad, Telangana
- Full-time
- Engineering
- C++
- Bachelor's degree
Senior Expert (Rapid Prototyping)
Novartis —Hyderabad, Telangana
- Full-time
- Research
- Machine learning
- APIs
Senior Software Engineer I - Full Stack/ Backend - AI Interfaces
Seismic —Hyderabad, Telangana
- Full-time
- Azure
- Computer Science
- Master's degree
Deputy Director - AI Solution and Platforms
PepsiCo —Hyderabad, Telangana
- Remote
- Azure
- Computer Science
- Salesforce

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Data Scientist 1
FedEx AMEA —Hyderabad, Telangana
Responsible for analyzing strategic business objectives, utilizing statistical and mathematical programming techniques for machine learning and predictive…

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Data Scientist 1

FedEx AMEA -
Hyderabad, Telangana

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Job details

Full-time

Qualifications

Microsoft Powerpoint
Statistics
Computer Science
English
Master's degree
SQL
Machine learning
Natural language processing
Data analytics
Python

Full job description

Responsible for analyzing strategic business objectives, utilizing statistical and mathematical programming techniques for machine learning and predictive analytics, developing and implementing algorithms and models, applying natural language processing, designing network simulation models, developing automated solutions, prototyping applications, managing projects, and communicating complex findings as a Data Scientist.

1. Analyze strategic business objectives and leverage advanced analytical research to drive data-driven decision-making.
2. Utilize statistical and mathematical programming techniques for machine learning, predictive analytics, and other advanced data modeling tasks.
3. Develop and implement machine learning algorithms and predictive analytics models to extract insights and make future predictions.
4. Apply natural language processing techniques to extract meaningful insights from unstructured textual data.
5. Develop algorithms and methods for efficient information retrieval from large datasets.
6. Design and optimize network simulation models to improve efficiency and performance.
7. Develop automated solutions to streamline processes and increase operational efficiency.
8. Prototype and develop applications to demonstrate the feasibility and functionality of data-driven solutions.
9. Manage data science projects from inception to completion, ensuring adherence to timelines and deliverables.
10. Communicate complex analytical findings effectively through data visualization and storytelling techniques.

Education: Master’s degree or equivalent in Computer Science, MIS, Mathematics, Statistics, or similar discipline.

Relevant work experience as a data scientist based on the following number of years:
Standard I: Two (2) years

Knowledge, Skills and Abilities

Fluency in English
Strong foundation in statistics and machine learning
Strong programming skills in Python
Solid SQL skills for data analytics
Ability to present and communicate findings to management stakeholders
PowerPoint, Reporting and Dashboarding skills necessary
Process automation and Problem-solving skills considered a plus
Proven ability to deliver end‑to‑end data projects
Demonstrated business impact from prior work
Portfolio or examples of applied, real‑world work

FedEx was built on a philosophy that puts people first, one we take seriously. We are an equal opportunity/affirmative action employer and we are committed to a diverse, equitable, and inclusive workforce in which we enforce fair treatment, and provide growth opportunities for everyone.

All qualified applicants will receive consideration for employment regardless of age, race, color, national origin, genetics, religion, gender, marital status, pregnancy (including childbirth or a related medical condition), physical or mental disability, or any other characteristic protected by applicable laws, regulations, and ordinances.

Our Company

FedEx is one of the world's largest express transportation companies and has consistently been selected as one of the top 10 World’s Most Admired Companies by "Fortune" magazine. Every day FedEx delivers for its customers with transportation and business solutions, serving more than 220 countries and territories around the globe. We can serve this global network due to our outstanding team of FedEx team members, who are tasked with making every FedEx experience outstanding.

Our Philosophy

The People-Service-Profit philosophy (P-S-P) describes the principles that govern every FedEx decision, policy, or activity. FedEx takes care of our people; they, in turn, deliver the impeccable service demanded by our customers, who reward us with the profitability necessary to secure our future. The essential element in making the People-Service-Profit philosophy such a positive force for the company is where we close the circle, and return these profits back into the business, and invest back in our people. Our success in the industry is attributed to our people. Through our P-S-P philosophy, we have a work environment that encourages team members to be innovative in delivering the highest possible quality of service to our customers. We care for their well-being, and value their contributions to the company.

Our Culture

Our culture is important for many reasons, and we intentionally bring it to life through our behaviors, actions, and activities in every part of the world. The FedEx culture and values have been a cornerstone of our success and growth since we began in the early 1970’s. While other companies can copy our systems, infrastructure, and processes, our culture makes us unique and is often a differentiating factor as we compete and grow in today’s global marketplace.

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2 years experience data scientist jobs in ts

Data Scientist 1

Risk Analyst, Buyer Risk Prevention, Payment Risk Mining

Business Intelligence Engineer, ROW AOP

AI Engineering Lead

ML Engineer(Databricks MLOps)

Principal Azure Cloud Platform Engineer - Databricks & CI/CD Pipelines

Gen AI Architect

LabVIEW Quality Engineer

Senior Expert (Rapid Prototyping)

Senior Software Engineer I - Full Stack/ Backend - AI Interfaces

Deputy Director - AI Solution and Platforms

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