AWS Data Scientist

Capgemini
Malvern, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 91K

Job location

Malvern, United States of America

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Business Analytics Applications
Data analysis
Big Data
Cloud Engineering
Computer Programming
Data Security
Data Visualization
Python
Machine Learning
NumPy
TensorFlow
SQL Databases
Data Streaming
Feature Engineering
PyTorch
Spark
Deep Learning
Pandas
Build Management
Scikit Learn
Amazon Web Services (AWS)
Machine Learning Operations
Software Version Control
Unsupervised Learning

Job description

We are looking for a highly experienced AWS Data Scientist with deep expertise in Artificial Intelligence (AI), Machine Learning (ML), and advanced Python programming to build and deploy scalable, cloud-native analytics solutions on AWS. The role requires hands-on experience across the full data science lifecycle and close collaboration with business and engineering teams., * Design, develop, and deploy AI/ML models and data science solutions on AWS

  • Build end-to-end ML pipelines using AWS services such as SageMaker, Lambda, EC2, and ECR
  • Perform advanced data analysis, feature engineering, model training, and optimization using Python
  • Work with large-scale datasets using AWS data services including S3, Glue, Athena, and Redshift
  • Implement MLOps practices for model deployment, monitoring, retraining, and version control
  • Translate complex business problems into AI/ML-driven solutions
  • Ensure adherence to data security, governance, and compliance standards

Requirements

  • Minimum 8+ years of experience in Data Science, AI, or Machine Learning
  • Strong hands-on expertise in AI & ML, including supervised and unsupervised learning, NLP, or deep learning
  • Advanced Python programming skills, including libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch
  • Extensive experience with AWS, especially SageMaker, S3, Redshift, Glue, Athena, Lambda
  • Strong foundation in statistics, predictive modeling, and ML algorithms
  • Proficiency in SQL and experience with data visualization techniques
  • Excellent communication and stakeholder management skills, * AWS Certifications (Machine Learning - Specialty or Solutions Architect)
  • Experience with big data technologies such as Spark
  • Exposure to real-time or streaming data pipelines
  • Background in financial services or regulated industries

Benefits & conditions

The base compensation range for this role in the posted location is: $80786 - 90892

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

  • Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave

  • Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)

  • Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)

  • Life and disability insurance

  • Employee assistance programs

  • Other benefits as provided by local policy and eligibility

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

About the company

Capgemini ist einer der weltweit führenden Anbieter von Management- und IT-Beratung, Technologie-Services und Digitaler Transformation. Als ein Wegbereiter für Innovation unterstützt das Unternehmen seine Kunden bei deren komplexen Herausforderungen rund um Cloud, Digital und Plattformen.

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