Aspire systems looking for Data Scientist | Jobs for Freshers | Data Scientist Jobs

About Company : Aspire Systems is a global technology services firm serving as a trusted technology partner for our customers. We work with some of the world’s most innovative enterprises and independent software vendors, helping them leverage technology and outsourcing in our specific areas of expertise. Our core philosophy of “Attention. Always.” communicates our belief in lavishing care and attention on our customers and employees.


Industries : Information Technology and Services

Company size: 1001-5000 employees

Headquarters : Chennai, Tamil Nadu

Type : Privately Held

Founded : 1996

Specialties : Product Engineering, Enterprise Transformation, Testing, Infrastructure Management and Application Support, SaaS/Cloud, Mobility, SharePoint, Oracle ERP Services, and Digital Transformation Consulting and services

Post : Data Scientist – Freshers Recruitment

Qualification: B.E /B. Tech

Job Type: Full Time

Experience: 0- 3 Years

Job Location: Chennai / Hyderabad / Bangalore

Job Description:

  • Identify valuable data sources and automate the collection processes
  • Undertake pre-processing of structured and unstructured data
  • Analyze large amounts of information to discover trends and patterns
  • Combine models through ensemble modeling
  • Present information using data visualization techniques
  • Propose solutions and strategies to business challenges
  • Collaborate with engineering and product development teams

Required Skills:

  • Strong knowledge in Python, Tensorflow, Keras, Numpy, Pandas and Matplotlib
  • Hands-on experience in building Deep Learning Algorithms primarily to solve NLP and computer vision-based problems
  • Good understanding of supervised and unsupervised learning-based ML algorithms
  • Must be proficient in analyzing data and willing to patiently research on new problems and learn new skills
  • Strong inclination towards working with the team and explore new ideas

How to Apply : click here