[Hiring] Entry Level Data Scientist @Synergistic IT

Role Description

Good understanding of the below models:

• Identify valuable data sources and automate collection processes
• Undertake preprocessing of structured and unstructured data
• Analyze large amounts of information to identify client trends and patterns
• Classifier, Random Forest Classifier, Nave Bayes, Support Vector Machine
• Machine Learning Algorithms - Linear Regression, Logistic Regression, Decision Tree
• Unsupervised/Clustering algorithms
• NLP models, Deep Learning models for image classification

Qualifications

• Hands-on experience with Python scripting
• Hands-on experience in building Machine Learning and Artificial Intelligence models
• Good knowledge of Exploratory Data Analysis (EDA)
• Hands-on experience on platforms - Microsoft Azure/Amazon Web Services
• Familiarity with libraries – Numpy, Pandas, Scikit-learn, Seaborn, Plotly, TensorFlow
• Ability to do data visualization using Tableau or Excel
• Excellent English communication (both oral and written) and reading comprehension skills
• Strong analytical and problem-solving skills, with clear attention to detail

Requirements

• Bachelors or Masters in Computer Science, Computer Engineering, Information Systems, Information Technology, Electrical Engineering, or Mechanical Engineering

Benefits

• On Job Technical support
• E-verified Clients
• OPT letter for International Students
• Full-time position
• Opportunity for candidates missing required skills to enhance their skills for the role

Who should apply

• Candidates who have difficulty finding jobs even after completing their bachelors and masters
• Candidates working on redundant technologies and want to become relevant again to boost their growth
• Candidates who want to enhance their skill portfolio
• Candidates open to investing 4-5 months in learning about Java or Data Science for a job in Fortune 500 Companies

After training, you will get an opportunity to work with companies like Apple, Google, Wells Fargo, Client, PayPal, eBay, etc.

Checkout the curriculum for Data Science Track: Data Science Track

Checkout our Blogs: Blogs

If you do respond via e-mail, please include a daytime phone number so that we can reach you. In considering candidates, time is of the essence, so please respond ASAP. Thank you.