Entry Level Data Scientist
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, providing high-quality IT services from staffing to full project implementation. We aim to deliver exceptional student outcomes and help individuals build solid careers in technology, not just secure a tech job. This role requires a good understanding of various data models and algorithms, including classifiers, regression, clustering, NLP, and deep learning models. The ideal candidate will identify valuable data sources, automate collection, preprocess data, and analyze large amounts of information to identify client trends and patterns.
Requirements
- Good understanding of Classifier, Random Forest Classifier, Nave Bayes, Support Vector Machine
- Good understanding of Machine Learning Algorithms - Linear Regression, Logistic Regression, Decision Tree
- Good understanding of Unsupervised/Clustering algorithms
- Good 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 - Microsoft Azure/Amazon Web Services
- Experience 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
Nice To Haves
- 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 the 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 client trends and patterns
- Build Machine Learning and Artificial Intelligence models
- Perform Exploratory Data Analysis (EDA)
- Do data visualization using Tableau or Excel
Benefits
- On Job Technical support
- E-verified
- Clients OPT letter for International Students
- Full time position
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
