Entry Level Data Scientist (Remote)

Synergistic IT • Cambridge, MA

10h • Remote

About The Position

Synergistic IT is a full-service staffing and placement firm that has been serving clients in America for over 12 years. We are dedicated to fulfilling the IT needs of our clients, from staffing to full project implementation, providing the highest quality IT Services. We aim to deliver exceptional student outcomes and help individuals not just secure a tech job, but build a solid career in technology. This role involves identifying valuable data sources, automating collection processes, preprocessing structured and unstructured data, and analyzing large amounts of information to identify client trends and patterns. The position requires a good understanding of various machine learning and deep learning models, including classifiers, regression, clustering, NLP, and image classification.

Requirements

• Good understanding of Classifier, Random Forest Classifier, Nave Bayes, Support Vector Machine Machine Learning Algorithms - Linear Regression, Logistic Regression, Decision Tree
• Understanding of Unsupervised/Clustering algorithms
• Understanding of NLP models, Deep Learning models for image classification
• 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 like Microsoft Azure/Amazon Web Services
• Experience with libraries such as Numpy, Pandas, Scikit-learn, Seaborn, Plotly, TensorFlow
• Ability to perform 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

Nice To Haves

• Candidates who are missing the required skills might be provided an option to enhance their skills
• Candidates who have difficulty finding jobs even after completing their bachelors and masters
• Candidates who are working on redundant technologies and want to become relevant again to boost their growth
• Candidates who want to enhance their skill portfolio
• Candidates who are open to invest 4-5 months in learning about Java or Data Science and then have a job in Fortune 500 Companies

Responsibilities

• Identify valuable data sources and automate collection processes
• Undertake preprocessing of structured and unstructured data
• Analyze large amounts of information to identify trends and patterns

Benefits

• On Job Technical support
• E-verified
• Clients OPT letter for International Students
• Full-time position
• Opportunity to work with companies like Apple, Google, Wells Fargo, Client, PayPal, eBay etc. after training

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level